<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monitoring on Netdata</title><link>https://www.netdata.cloud/tags/monitoring/</link><description>Recent content in Monitoring on Netdata</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.netdata.cloud/tags/monitoring/index.xml" rel="self" type="application/rss+xml"/><item><title>Native macOS Monitoring: Logs, Sensors, GPU &amp; Hardware Health</title><link>https://www.netdata.cloud/blog/macos-monitoring/</link><pubDate>Wed, 15 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/macos-monitoring/</guid><description>&lt;p>&lt;img src="../images/macos-monitoring.svg" alt="Native macOS monitoring with Netdata: unified logs, power, sensors, GPU, per-app metrics, storage, and network">&lt;/p>
&lt;p>We&amp;rsquo;ve overhauled macOS monitoring in the latest Netdata release. Netdata already collects system metrics on Macs at per-second resolution; this release completes the picture with logs and hardware telemetry, areas that previously required users to run CLI tools like &lt;code>log show&lt;/code> and &lt;code>powermetrics&lt;/code>. The new collectors read this data through Apple&amp;rsquo;s own frameworks, allowing users to trace application and OS errors and catch hardware issues early.&lt;/p></description></item><item><title>Fleet Observability: Linux Edge Device Monitoring</title><link>https://www.netdata.cloud/blog/fleet-observability/</link><pubDate>Sun, 28 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/fleet-observability/</guid><description>&lt;p>It feels less like managing devices and more like remote babysitting. You check the dashboard, everything is green, and then a customer in the field tells you a device has been down for two days. At a handful of servers, the rare failure is an event. Across thousands of distributed Linux endpoints — robots in warehouses, EV chargers across a city, kiosks in retail, IoT gateways in the field — the rare failure becomes a daily occurrence, and the tools built for a datacenter quietly stop telling you the truth.&lt;/p></description></item><item><title>Real Time Network Monitoring: Topology, NetFlow, SNMP</title><link>https://www.netdata.cloud/blog/network-monitoring/</link><pubDate>Wed, 24 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/network-monitoring/</guid><description>&lt;p>Interface counters tell you a port is busy. Bytes in, bytes out, errors, drops. That&amp;rsquo;s enough to know a link is saturated, but not enough to know which conversations are saturating it, which devices are involved, or how a problem propagates across your network. For that you&amp;rsquo;ve traditionally needed dedicated network performance monitoring tools, usually expensive, usually a separate console from the rest of your monitoring.&lt;/p>
&lt;p>Today we&amp;rsquo;re closing that gap. Netdata has had solid network interface monitoring for a long time through its native collectors and SNMP support. We&amp;rsquo;ve now built out the rest of the picture, and it adds up to NPM-class network monitoring: live network topology, NetFlow and sFlow traffic analysis, SNMP device monitoring across 200+ vendor profiles, SNMP trap handling, and a dedicated network monitoring dashboard. All of it runs alongside the infrastructure, application, and container metrics Netdata already collects, on the same timeline, in the same platform.&lt;/p></description></item><item><title>High Cardinality Metrics At Scale: A Better Playbook</title><link>https://www.netdata.cloud/blog/high-cardinality-metrics-observability-scale/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/high-cardinality-metrics-observability-scale/</guid><description>&lt;p>The &amp;ldquo;high cardinality is expensive&amp;rdquo; sentence has become observability&amp;rsquo;s version of &amp;ldquo;in this economy&amp;rdquo;: said so often that nobody questions whether it&amp;rsquo;s true. Every vendor pricing page invokes it. Every glossary article repeats it. Every architecture diagram shows aggregation buffers placed &lt;em>before&lt;/em> the storage layer.&lt;/p>
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&lt;p>&amp;ldquo;High cardinality is expensive&amp;rdquo; is not a fact about the universe; it&amp;rsquo;s a fact about one architectural choice: centralizing time-series storage and querying it through an index that scales with unique series. Once you accept that choice, everything follows. You pay per metric, you drop labels you wish you&amp;rsquo;d kept, you pre-aggregate before storage, and you discover that the bug you were debugging only existed at the full resolution you already threw away.&lt;/p></description></item><item><title>The best DevOps monitoring tools in 2026</title><link>https://www.netdata.cloud/resources/best-devops-monitoring-tools/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/resources/best-devops-monitoring-tools/</guid><description/></item><item><title>Netdata Skills: Teach Your AI Coding Agent To Monitor</title><link>https://www.netdata.cloud/blog/netdata-skills/</link><pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-skills/</guid><description>&lt;p>There&amp;rsquo;s a growing ecosystem of AI coding agents: Claude Code, Cursor, Copilot, Codex, Gemini CLI, Windsurf, and others. They&amp;rsquo;re good at writing code, but they don&amp;rsquo;t inherently know how to instrument that code for observability, configure monitoring infrastructure, or troubleshoot production systems using real telemetry data. That knowledge lives in documentation, runbooks, and the heads of your senior SREs.&lt;/p>
&lt;p>We&amp;rsquo;ve open-sourced a repository that encodes this knowledge into a format AI agents can use directly. &lt;a href="https://github.com/netdata/skills">netdata/skills&lt;/a> is a collection of agent skills, published in the open &lt;a href="https://agentskills.io">agentskills.io&lt;/a> format, that teach AI coding agents how to set up Netdata, instrument applications with OpenTelemetry, build collector pipelines, troubleshoot 49 specific technologies, and verify everything against live data via MCP.&lt;/p></description></item><item><title>OpenTelemetry and Netdata, Today</title><link>https://www.netdata.cloud/blog/opentelemetry-metrics-and-logs-ingestion/</link><pubDate>Fri, 15 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/opentelemetry-metrics-and-logs-ingestion/</guid><description>&lt;p>OpenTelemetry has become the default way to instrument applications and ship telemetry. The hard part has never been the data model. It&amp;rsquo;s been picking a backend that handles OTLP without quietly turning into a per-metric bill or a black box that swallows your data.&lt;/p>
&lt;p>Netdata is a native OTLP backend. Stand up an OpenTelemetry Collector with any of its hundreds of receivers, point its OTLP exporter at Netdata, and you get per-second charts, ML anomaly detection on every signal, AI-assisted troubleshooting, and infrastructure correlation, with no per-metric, per-series, or per-host charges. Metrics and logs work today. Trace support is coming soon.&lt;/p></description></item><item><title>Dashboard Playlists: Cycle Through Dashboards in TV Mode</title><link>https://www.netdata.cloud/blog/dashboard-playlists/</link><pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/dashboard-playlists/</guid><description>&lt;p>When we shipped TV mode, we heard almost immediately: &amp;ldquo;Great, but I have five dashboards and one screen.&amp;rdquo; A single dashboard on a wall display covers one view of your infrastructure. If you want to rotate between your network overview, database health, application metrics, and infrastructure summary, someone has to walk over and click, or you&amp;rsquo;re buying more screens.&lt;/p>
&lt;p>Dashboard playlists solve this. You can now select a sequence of dashboards to cycle through in TV mode, with a configurable rotation interval. Set it up once, open the TV mode URL on your display, and the screen rotates through your chosen dashboards on its own.&lt;/p></description></item><item><title>Azure Local Migration: Monitor Both Sides In One View</title><link>https://www.netdata.cloud/blog/azure-local-migration/</link><pubDate>Mon, 11 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/azure-local-migration/</guid><description>&lt;p>&lt;img src="../images/azure-local-migration.svg" alt="Monitoring Your Azure to Azure Local Migration: One Dashboard for Both Sides">&lt;/p>
&lt;p>More organizations are moving workloads from Azure public cloud to Azure Local (formerly Azure Stack HCI) than most people realize. The reasons vary: data sovereignty requirements, latency-sensitive workloads that need to be closer to the edge, cost optimization for predictable workloads where reserved cloud capacity doesn&amp;rsquo;t make financial sense, or regulatory constraints that require data to stay on-premises.&lt;/p></description></item><item><title>Geo Maps: See Where Your Infrastructure Lives</title><link>https://www.netdata.cloud/blog/geo-maps/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/geo-maps/</guid><description>&lt;p>When your infrastructure is spread across regions, data centers, branch offices, or edge locations, knowing where a node is physically located matters more than people usually admit. During an incident, &amp;ldquo;the node in the Singapore POP&amp;rdquo; communicates faster than a hostname. When you&amp;rsquo;re planning capacity, seeing geographic clustering tells you something that a flat list of nodes doesn&amp;rsquo;t. When a subset of your fleet starts misbehaving, the first question is often &amp;ldquo;is this regional?&amp;rdquo;&lt;/p></description></item><item><title>NVIDIA DCGM Collector: Deep GPU Monitoring For AI</title><link>https://www.netdata.cloud/blog/nvidia-dcgm-monitoring/</link><pubDate>Mon, 04 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/nvidia-dcgm-monitoring/</guid><description>&lt;p>&lt;img src="../images/dcgm-collector.svg" alt="NVIDIA DCGM Collector: Deep GPU Monitoring for Data Center and AI Infrastructure">&lt;/p>
&lt;p>GPU infrastructure is expensive and increasingly central to production workloads. Whether you&amp;rsquo;re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what&amp;rsquo;s going wrong when performance degrades, is not optional. The problem is that NVIDIA&amp;rsquo;s Data Center GPU Manager (DCGM) exposes an enormous amount of telemetry, but getting that data into a monitoring system in a useful, organized way has traditionally required significant setup and custom dashboarding work.&lt;/p></description></item><item><title>Misconfigured Alert Detection: Tuning Made Easy</title><link>https://www.netdata.cloud/blog/identifying-misconfigured-alerts/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/identifying-misconfigured-alerts/</guid><description>&lt;p>&lt;img src="../images/miscon-alerts-1.png" alt="Misconfigured Alert Detection: Find the Alerts That Need Tuning">&lt;/p>
&lt;p>Netdata ships with hundreds of stock alerts. They cover a wide range of infrastructure conditions and they&amp;rsquo;re designed with sensible defaults. But &amp;ldquo;sensible defaults&amp;rdquo; and &amp;ldquo;correct for your environment&amp;rdquo; are not the same thing. A CPU threshold that&amp;rsquo;s perfectly reasonable for a build server might generate constant noise on a machine running batch jobs. An alert that&amp;rsquo;s critical for production might be irrelevant in staging, where it fires daily and everyone ignores it.&lt;/p></description></item><item><title>Azure Monitor Collector: Monitor Azure Infrastructure</title><link>https://www.netdata.cloud/blog/azure-monitor/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/azure-monitor/</guid><description>&lt;p>&lt;img src="../images/azure-monitor-collector.svg" alt="Azure Monitor Collector: Monitor Your Entire Azure Infrastructure From Netdata">&lt;/p>
&lt;p>If you&amp;rsquo;re running infrastructure on Azure, you&amp;rsquo;ve probably dealt with the split between your Azure-native monitoring and the rest of your stack. Your VMs, databases, and Kubernetes clusters generate platform metrics through Azure Monitor, but those metrics live in a separate world from the OS-level, application, and on-prem metrics you&amp;rsquo;re already watching in Netdata. You end up checking two (or more) places during incidents, building mental bridges between dashboards that don&amp;rsquo;t talk to each other.&lt;/p></description></item><item><title>Database Performance Monitoring: 14+ DBs Supported</title><link>https://www.netdata.cloud/blog/dbm/</link><pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/dbm/</guid><description>&lt;p>&lt;img src="../images/dbm-hero.svg" alt="Database Performance Monitoring: Query-Level Visibility Across 14+ Databases">&lt;/p>
&lt;p>Netdata has always collected database metrics: connections, throughput, replication lag, buffer cache hit ratios, and so on. These tell you that something is wrong, but they don&amp;rsquo;t tell you why. When your PostgreSQL response time spikes, the metric alone doesn&amp;rsquo;t tell you which query is responsible. For that, you&amp;rsquo;ve traditionally needed to SSH into the box, connect to the database, and run diagnostic queries manually. Or set up a separate database monitoring tool entirely.&lt;/p></description></item><item><title>Nagios Plugins: Run Existing Checks &amp; Custom Scripts</title><link>https://www.netdata.cloud/blog/nagios-plugins/</link><pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/nagios-plugins/</guid><description>&lt;p>A lot of teams have a collection of Nagios plugins and custom monitoring scripts that have been running reliably for years. Some are standard community plugins for checking disk health or SSL certificate expiry. Others are homegrown Bash or Python scripts that check something very specific to the business: whether an API endpoint returns the right payload, whether a batch job completed on time, whether a queue depth is within bounds. These scripts work, they&amp;rsquo;re battle-tested, and nobody wants to rewrite them.&lt;/p></description></item><item><title>Smarter Alerts: Test, Review &amp; Preview Schedules</title><link>https://www.netdata.cloud/blog/smarter-alerts/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/smarter-alerts/</guid><description>&lt;p>Alert fatigue usually isn&amp;rsquo;t caused by one thing. It&amp;rsquo;s the accumulation of thresholds that are slightly too sensitive, alerts that fire during known maintenance windows, and historical patterns that nobody has the tools to review easily. Fixing it requires better visibility into how alerts actually behave over time, and a way to test changes before they hit production.&lt;/p>
&lt;p>We&amp;rsquo;ve shipped three improvements to alerting in Netdata that address different parts of this problem: the ability to evaluate alert definitions against historical data before deploying them, a timeline view of alert transitions, and a schedule preview for recurring silencing rules.&lt;/p></description></item><item><title>TV Mode: Put Your Dashboards on the Big Screen</title><link>https://www.netdata.cloud/blog/tv-mode/</link><pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/tv-mode/</guid><description>&lt;p>One of the most common requests we&amp;rsquo;ve gotten since launching custom dashboards is deceptively simple: &amp;ldquo;How do I put this on a TV?&amp;rdquo; Teams want their dashboards on wall-mounted screens in NOCs, war rooms, and open office spaces. The dashboard is already built. The data is already there. They just need a way to display it on a screen that nobody is logged into, without exposing the full Netdata Cloud interface.&lt;/p></description></item><item><title>New Custom Dashboards: Metrics, Logs &amp; Live Commands</title><link>https://www.netdata.cloud/blog/new-custom-dashboards/</link><pubDate>Sun, 12 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/new-custom-dashboards/</guid><description>&lt;p>Custom dashboards in Netdata have always let you pull charts together on-the-fly into a single view. That&amp;rsquo;s useful, but it&amp;rsquo;s also limited. In practice, when you&amp;rsquo;re running an incident or reviewing a service, you don&amp;rsquo;t just want charts. You want to see the output of &lt;code>top&lt;/code> alongside your CPU metrics. You want slow query logs next to your database latency charts. You want an infrastructure summary card that tells you how many nodes in a room are healthy without having to click through to find out.&lt;/p></description></item><item><title>Alert Acknowledgement: Mark It as Seen, Keep Working</title><link>https://www.netdata.cloud/blog/alert-acknowledge/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/alert-acknowledge/</guid><description>&lt;p>If you&amp;rsquo;ve ever opened the alerts tab during a busy period, you know the problem. There are alerts you&amp;rsquo;ve already looked at, alerts someone on your team is handling, and alerts that fired on a known issue that&amp;rsquo;s being worked on. They all sit together in the same list alongside the new ones you haven&amp;rsquo;t seen yet. There&amp;rsquo;s no way to say &amp;ldquo;I&amp;rsquo;ve seen this, move on&amp;rdquo; without silencing or disabling the alert entirely, which is a much heavier action than the situation calls for.&lt;/p></description></item><item><title>Expanded Chart View: Investigate Without Leaving the Chart</title><link>https://www.netdata.cloud/blog/charts-expanded-view/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/charts-expanded-view/</guid><description>&lt;p>Charts in Netdata have always been interactive. You can zoom, pan, select time ranges, and see per-second granularity across thousands of metrics. But when you spotted something interesting, the next steps usually meant leaving the chart: opening another tab to check a related metric, navigating to the correlation tool, or pulling up a different time range for comparison. The investigation workflow lived outside the chart, even though the chart was where the investigation started.&lt;/p></description></item><item><title>Monitor Your Azure to Azure Local Migration</title><link>https://www.netdata.cloud/solutions/use-cases/azure-local-migration/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/azure-local-migration/</guid><description>Netdata gives migration teams a single pane of glass across Azure cloud resources and Azure Local cluster nodes. Per-second metrics, edge-based ML, and 800+ collectors mean you can baseline source workloads, validate destination hardware, run parallel cutovers, and operate the new environment without changing tools.</description></item><item><title>Node Groups: Organize Infrastructure Into Views</title><link>https://www.netdata.cloud/blog/node-groups/</link><pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/node-groups/</guid><description>&lt;p>When you&amp;rsquo;re managing a handful of nodes, the flat list in the nodes tab works fine. When you&amp;rsquo;re managing hundreds or thousands, it becomes a wall of hostnames. You end up applying the same filters repeatedly: all the production database servers, all the nodes in eu-west, all the Kubernetes workers in the staging cluster. The filters work, but they don&amp;rsquo;t persist, and there&amp;rsquo;s no way to share them with the rest of your team.&lt;/p></description></item><item><title>Howard Conference &amp; Expo 2026: Smarter Observability</title><link>https://www.netdata.cloud/blog/howard-expo-2026/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/howard-expo-2026/</guid><description>&lt;p>The Netdata team will be at the &lt;strong>Howard Conference and Expo &amp;ldquo;Game On&amp;rdquo;&lt;/strong> event, &lt;strong>February 24-26, 2026 at the Grand Hotel Marriott Resort in Fairhope, Alabama&lt;/strong>. We&amp;rsquo;re looking forward to meeting IT leaders and practitioners to talk about real-time observability—what it actually looks like in practice, and where traditional monitoring falls short.&lt;/p>
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&lt;h2 id="what-well-be-showing">What We&amp;rsquo;ll Be Showing&lt;/h2>
&lt;p>Stop by our booth to see Netdata in action and chat with our team about what you&amp;rsquo;re dealing with in your own environment.&lt;/p></description></item><item><title>India DevOps Show 2026: Modern Observability Recap</title><link>https://www.netdata.cloud/blog/india-devops-show-2026/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/india-devops-show-2026/</guid><description>&lt;p>DevOps has fundamentally transformed how organizations build and deliver software. But as deployment velocity increases and infrastructure becomes more dynamic, the gap between shipping code and truly understanding system behavior continues to widen. Teams need observability that keeps pace with their pipelines, not tools that slow them down or break the budget.&lt;/p>
&lt;p>Netdata is proud to participate as a &lt;strong>Silver Partner&lt;/strong> at the &lt;strong>10th Edition India DevOps Show 2026&lt;/strong>, taking place on &lt;strong>February 13, 2026 at Aloft ORR Hotel, Bengaluru&lt;/strong>. We&amp;rsquo;re excited to engage with India&amp;rsquo;s vibrant DevOps community and share our vision for efficient, intelligent observability.&lt;/p></description></item><item><title>Tech Show London 2026: Cloud &amp; AI Observability Recap</title><link>https://www.netdata.cloud/blog/techshow-london-2026/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/techshow-london-2026/</guid><description>&lt;p>The intersection of cloud and AI is creating unprecedented infrastructure complexity. As organizations race to deploy AI workloads alongside traditional cloud services, the demand for intelligent, high-fidelity observability has never been greater. Understanding what&amp;rsquo;s happening across your entire stack, in real time, is no longer a luxury, it&amp;rsquo;s a necessity.&lt;/p>
&lt;p>That&amp;rsquo;s why the Netdata team is excited to be part of &lt;strong>Tech Show London 2025&lt;/strong>, taking place &lt;strong>March 4-5 at ExCeL London&lt;/strong>. We&amp;rsquo;ll be in the &lt;strong>Cloud &amp;amp; AI Infrastructure&lt;/strong> zone, ready to show you how modern observability should work.&lt;/p></description></item><item><title>Database Monitoring Software Without Query Languages</title><link>https://www.netdata.cloud/solutions/built-for/dbas/</link><pubDate>Tue, 27 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/built-for/dbas/</guid><description>Netdata gives DBAs complete database visibility with per-second query performance, replication lag tracking, lock analysis, and connection pool monitoring across MySQL, PostgreSQL, SQL Server, Oracle, and MongoDB - all from one dashboard with zero configuration.</description></item><item><title>Netdata vs ScienceLogic | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/sciencelogic/</link><pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/sciencelogic/</guid><description>Comprehensive comparison of Netdata and ScienceLogic Skylar One platforms, highlighting real-time per-second visibility, transparent pricing, and zero-configuration deployment advantages over enterprise-focused 5-minute polling.</description></item><item><title>Container Monitoring Software With Zero Configuration</title><link>https://www.netdata.cloud/solutions/use-cases/container-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/container-monitoring/</guid><description>Transform container monitoring with Netdata&amp;rsquo;s edge-native platform. Get per-second metrics, automated dashboards, ML anomaly detection, and AI troubleshooting - all without complex setup or unpredictable costs.</description></item><item><title>DevOps Monitoring Software With ML Anomaly Detection</title><link>https://www.netdata.cloud/solutions/built-for/devops/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/built-for/devops/</guid><description>Netdata delivers complete observability for DevOps teams with per-second metrics, zero-configuration deployment, and AI-powered root cause analysis. Monitor everything from bare metal to Kubernetes with a single platform that replaces 7 tools while reducing costs by 90%.</description></item><item><title>Infrastructure Monitoring Software With AI &amp; ML</title><link>https://www.netdata.cloud/solutions/use-cases/infrastructure-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/infrastructure-monitoring/</guid><description>Transform infrastructure monitoring with Netdata&amp;rsquo;s edge-native platform. Get per-second visibility, ML anomaly detection on every metric, and AI-powered troubleshooting - all while keeping your data sovereign and reducing costs by 90%.</description></item><item><title>Linux Monitoring Software With Per-Second Metrics</title><link>https://www.netdata.cloud/solutions/technologies/linux-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/technologies/linux-monitoring/</guid><description>Netdata delivers complete Linux monitoring with per-second granularity, edge-based ML anomaly detection, and zero-pipeline logs - all with zero configuration and predictable per-node pricing.</description></item><item><title>Netdata vs BetterStack | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/betterstack/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/betterstack/</guid><description>Netdata and BetterStack serve different observability needs. Netdata excels at deep infrastructure monitoring with per-second metrics and ML intelligence, while BetterStack focuses on incident coordination and uptime monitoring. Learn which solution fits your technical requirements.</description></item><item><title>Netdata vs CardinalHQ | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/cardinalhq/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/cardinalhq/</guid><description>Comprehensive comparison of Netdata&amp;rsquo;s edge-native monitoring platform versus CardinalHQ&amp;rsquo;s AI-powered observability optimization layer. Learn which solution fits your infrastructure needs.</description></item><item><title>Netdata vs Checkmk | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/checkmk/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/checkmk/</guid><description>Netdata vs Checkmk comparison: Real-time monitoring (1-second vs 60-second), zero configuration (vs 700+ rule sets), AI-powered troubleshooting, 90% cost reduction, and operational simplicity. See why cloud-native teams choose Netdata for modern infrastructure monitoring.</description></item><item><title>Netdata vs Coroot | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/coroot/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/coroot/</guid><description>Netdata vs Coroot comparison: production-ready observability platform vs emerging Kubernetes tool. Learn why Netdata provides superior maturity, universal coverage, and operational simplicity for real-world infrastructure.</description></item><item><title>Netdata vs Cribl | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/cribl/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/cribl/</guid><description>Netdata provides real-time infrastructure monitoring with ML-based anomaly detection and built-in dashboards. Cribl optimizes log pipelines and routes data for cost efficiency. Learn how these complementary solutions work together for complete observability.</description></item><item><title>Netdata vs Dash0 | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/dash0/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/dash0/</guid><description>Netdata vs Dash0: Real-time edge intelligence with predictable pricing versus OpenTelemetry-native centralized monitoring. Compare features, costs, and capabilities to choose the right observability platform.</description></item><item><title>Netdata vs Datadog | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/datadog/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/datadog/</guid><description/></item><item><title>Netdata vs Grafana | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/grafana/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/grafana/</guid><description>Comprehensive comparison of Netdata and Grafana monitoring platforms, highlighting real-time performance, cost efficiency, and operational simplicity.</description></item><item><title>Netdata vs Graylog | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/graylog/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/graylog/</guid><description>Netdata and Graylog serve different but complementary purposes in modern observability stacks. Netdata provides real-time infrastructure metrics monitoring with ML-based anomaly detection, while Graylog offers centralized log management for security analysis and forensic investigations. Together, they deliver complete observability.</description></item><item><title>Netdata vs Grepr | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/grepr/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/grepr/</guid><description/></item><item><title>Netdata vs Honeycomb | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/honeycomb/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/honeycomb/</guid><description>Compare Netdata and Honeycomb for infrastructure monitoring. Learn how Netdata provides comprehensive system visibility, predictable per node pricing, and zero-configuration deployment—solving the gaps in Honeycomb&amp;rsquo;s application-centric observability.</description></item><item><title>Netdata vs Icinga | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/icinga/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/icinga/</guid><description>Comprehensive comparison of Netdata and Icinga monitoring platforms, highlighting real-time performance analysis, automated deployment, ML-based anomaly detection, and modern observability capabilities.</description></item><item><title>Netdata vs LibreNMS | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/librenms/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/librenms/</guid><description>Compare Netdata and LibreNMS monitoring platforms. Learn how Netdata delivers per-second real-time monitoring, AI-powered anomaly detection, and native Windows support while LibreNMS excels at SNMP network device monitoring.</description></item><item><title>Netdata vs LogicMonitor | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/logicmonitor/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/logicmonitor/</guid><description>Comprehensive comparison of Netdata and LogicMonitor monitoring platforms, highlighting real-time performance, cost efficiency, and deployment simplicity advantages.</description></item><item><title>Netdata vs ManageEngine | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/manageengine/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/manageengine/</guid><description>Netdata vs ManageEngine: Real-time observability comparison for cloud-native infrastructure. See how per-second monitoring, distributed architecture, and zero-config deployment transform operations.</description></item><item><title>Netdata vs Mezmo | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/mezmo/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/mezmo/</guid><description>Comprehensive comparison of Netdata and Mezmo observability platforms, highlighting real-time monitoring capabilities, cost efficiency, and deployment simplicity.</description></item><item><title>Netdata vs Monit | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/monit/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/monit/</guid><description>Compare Netdata&amp;rsquo;s real-time observability platform with Monit&amp;rsquo;s lightweight process supervision. Learn how Netdata provides per-second monitoring, ML anomaly detection, AI troubleshooting, and unlimited scalability versus Monit&amp;rsquo;s basic service checks and 1,000-host ceiling.</description></item><item><title>Netdata vs Prometheus: No PromQL Complexity</title><link>https://www.netdata.cloud/comparisons/prometheus/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/prometheus/</guid><description>Netdata vs Prometheus comparison: Real-time monitoring with zero configuration, built-in ML, and 90% lower costs. See how Netdata solves Prometheus pain points while maintaining enterprise-grade capabilities.</description></item><item><title>Netdata vs PRTG | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/prtg/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/prtg/</guid><description/></item><item><title>Netdata vs Sensu | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/sensu/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/sensu/</guid><description>Netdata vs Sensu: Real-time monitoring that just works vs a platform in decline. See why thousands of teams are switching to Netdata for instant deployment, beautiful dashboards, and 90% cost savings.</description></item><item><title>Netdata vs Sentry | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/sentry/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/sentry/</guid><description>Netdata and Sentry serve different but complementary purposes in modern observability. Netdata provides real-time infrastructure monitoring with ML-based anomaly detection, while Sentry excels at application error tracking. Learn how using both tools together delivers complete visibility at lower total cost.</description></item><item><title>Netdata vs SigLens | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/siglens/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/siglens/</guid><description>Comprehensive comparison of Netdata and SigLens observability platforms. Learn how these complementary tools work together to provide complete infrastructure monitoring and log analysis at a fraction of traditional enterprise costs.</description></item><item><title>Netdata vs SigNoz | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/signoz/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/signoz/</guid><description>Comprehensive comparison of Netdata and SigNoz observability platforms, highlighting operational simplicity, real-time performance, and cost efficiency for infrastructure monitoring teams.</description></item><item><title>Netdata vs Splunk | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/splunk/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/splunk/</guid><description/></item><item><title>Netdata vs Uptime Kuma | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/uptimekuma/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/uptimekuma/</guid><description/></item><item><title>Netdata vs VictoriaMetrics | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/victoriametrics/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/victoriametrics/</guid><description>Comprehensive comparison of Netdata vs VictoriaMetrics covering real-time monitoring, ML anomaly detection, visualization, scalability, and total cost of ownership.</description></item><item><title>Netdata vs Virtana: Real-Time Operations Monitoring</title><link>https://www.netdata.cloud/comparisons/virtana/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/virtana/</guid><description>Netdata delivers per-second operational monitoring for engineering teams, while Virtana provides strategic cost optimization for IT executives. Learn how these complementary platforms serve different needs within modern organizations.</description></item><item><title>Netdata vs Zenoss | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/zenoss/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/zenoss/</guid><description>Comprehensive comparison of Netdata and Zenoss monitoring platforms, highlighting Netdata&amp;rsquo;s advantages in real-time performance, ease of use, resource efficiency, and transparent pricing.</description></item><item><title>Open Source</title><link>https://www.netdata.cloud/open-source/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/open-source/</guid><description>The world&amp;rsquo;s most popular open source monitoring platform. Deploy complete infrastructure observability in 60 seconds with zero configuration. Trusted by millions of engineers worldwide.</description></item><item><title>Real-Time Monitoring &amp; ML Detection For Sysadmins</title><link>https://www.netdata.cloud/solutions/built-for/sysadmins/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/built-for/sysadmins/</guid><description>Purpose-built observability for sysadmins: per-second metrics, automatic dashboards, ML-powered anomaly detection, and predictable pricing. Monitor everything from bare metal to Kubernetes without learning query languages or building dashboards.</description></item><item><title>Monitor Everything is an Anti-Pattern!</title><link>https://www.netdata.cloud/blog/monitor-everything-is-an-anti-pattern/</link><pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitor-everything-is-an-anti-pattern/</guid><description>&lt;p>&lt;strong>Bullshit and nonsense.&lt;/strong>&lt;/p>
&lt;p>But let&amp;rsquo;s take it from the beginning.&lt;/p>
&lt;p>The industry&amp;rsquo;s story goes something like this:&lt;/p>
&lt;blockquote>
&lt;p>&lt;em>&amp;ldquo;Monitor everything is universally recognized as an anti-pattern.&amp;rdquo;&lt;/em>&lt;br/>
&lt;em>&amp;ldquo;You&amp;rsquo;ll drown in metrics, burn out your engineers, and blow your budget.&amp;rdquo;&lt;/em>&lt;br/>
&lt;em>&amp;ldquo;Just focus on 3–10 signals — the Four Golden Signals, RED, USE — and ignore everything else.&amp;rdquo;&lt;/em>&lt;br/>
&lt;em>&amp;ldquo;Trust us, you don&amp;rsquo;t want that much telemetry.&amp;rdquo;&lt;/em>&lt;br/>
&lt;br/>
(&lt;a href="https://www.netdata.cloud/resources/research/monitor-everything-anti-pattern/">true, read the whole story here&lt;/a>)&lt;/p>
&lt;/blockquote>
&lt;p>Then, in the same breath:&lt;/p></description></item><item><title>Automate Infrastructure Analysis With AI Reports</title><link>https://www.netdata.cloud/blog/scheduled-reports-insights-investigations/</link><pubDate>Tue, 23 Sep 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/scheduled-reports-insights-investigations/</guid><description>&lt;p>The least exciting part of an operations or SRE role is often the manual, repetitive task of generating reports. It’s the Monday morning scramble to summarize weekly infrastructure health for the team, or the end-of-quarter push to build a capacity planning document. This is boilerplate work that pulls you away from critical engineering tasks.&lt;/p>
&lt;p>We believe that if a process is repeatable, it should be automated.&lt;/p>
&lt;!--truncate-->
&lt;p>That&amp;rsquo;s why we’re introducing &lt;strong>Scheduled AI Investigations and Insights&lt;/strong>. This new capability builds directly on our existing AI tools, allowing you to set your most important analyses on a recurring schedule. It’s like setting up a cron job for your infrastructure reporting, letting your Co-SRE do the heavy lifting for you.&lt;/p></description></item><item><title>AI Troubleshooting GA With On-Demand Credits</title><link>https://www.netdata.cloud/blog/ai-credits/</link><pubDate>Tue, 02 Sep 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/ai-credits/</guid><description>&lt;p>Since launching our AI investigations and insights in a research preview, one thing has become clear: &lt;strong>automated root cause analysis delivers a significant return on investment.&lt;/strong> Teams have confirmed that instant insights don&amp;rsquo;t just save a few minutes; they fundamentally shorten incident response cycles, free up valuable engineering hours, and reduce the business impact of downtime.&lt;/p>
&lt;p>The preview successfully demonstrated this value, with 10 free AI sessions per month allowing teams to integrate AI into their workflows. Now, based on the success and maturity of the capabilities, we are proud to announce that &lt;strong>Netdata&amp;rsquo;s AI investigations and insights are graduating from research preview to General Availability.&lt;/strong>&lt;/p></description></item><item><title>Netdata Now Troubleshoots Your Alerts for You</title><link>https://www.netdata.cloud/blog/automated-alert-troubleshooting/</link><pubDate>Sun, 03 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/automated-alert-troubleshooting/</guid><description>&lt;p>The 2 AM pager alert. For anyone in Ops, SRE, or IT administration, those words trigger a familiar sense of dread. An alert has fired. Is it a real fire, or another false alarm waking you from a dead sleep? The pressure is on. Every minute of downtime costs money and reputation, but troubleshooting a complex system when you&amp;rsquo;re sleep-deprived is a Herculean task.&lt;/p>
&lt;!--truncate-->
&lt;p>This cycle is a massive drain on engineering resources. The daily grind of sifting through alerts, trying to distinguish signal from noise, and manually correlating metrics to find a root cause consumes countless hours. This constant firefighting leads to alert fatigue, where even critical notifications start to get ignored. The core questions are always the same: Is this a real problem? What is the potential impact? Why did this trigger? What do I do next? Answering them is a slow, manual, and often stressful process.&lt;/p></description></item><item><title>Docker Monitoring Tool With Unlimited Containers</title><link>https://www.netdata.cloud/solutions/technologies/docker-monitoring/</link><pubDate>Mon, 27 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/technologies/docker-monitoring/</guid><description>Netdata brings the simplicity Docker promised to monitoring. One command install, instant visibility into every container&amp;rsquo;s CPU, memory, disk, and network. No agents per container, no complex pipelines, no surprise bills.</description></item><item><title>Netdata vs Prometheus: A 2025 Performance Analysis</title><link>https://www.netdata.cloud/blog/netdata-vs-prometheus-2025/</link><pubDate>Thu, 23 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-vs-prometheus-2025/</guid><description>&lt;p>When it comes to infrastructure monitoring, performance, scalability, and efficiency are critical considerations. In this blog post, we revisit two widely adopted open-source monitoring solutions: &lt;strong>Netdata&lt;/strong> and &lt;strong>Prometheus&lt;/strong>. Both tools have introduced notable improvements in their latest versions, emphasizing scalability and enhanced efficiency.&lt;/p>
&lt;p>In our previous &lt;a href="https://www.netdata.cloud/blog/netdata-vs-prometheus-performance-analysis/">analysis&lt;/a>, we explored key differences between these systems, focusing on resource consumption and data retention. This follow-up expands on that comparison by subjecting both tools to a significantly larger workload. With the number of monitored nodes increased to 1000, containers to 80k, and metrics ingestion reaching 4.6 million metrics per second, we examine how each system performs under these demanding conditions, focusing on CPU utilization, memory requirements, disk I/O, network usage, and data retention during data ingestion.&lt;/p></description></item><item><title>Long-Term Data Storage and Retention in Netdata</title><link>https://www.netdata.cloud/blog/long-term-data-retention/</link><pubDate>Tue, 21 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/long-term-data-retention/</guid><description>&lt;p>Netdata&amp;rsquo;s database engine (dbengine) provides a sophisticated multi-tiered storage system designed for efficient long-term data retention while maintaining high granularity. This article explores the technical details of how Netdata handles metric storage, the advantages of its distributed architecture, and how to configure it for your specific needs.&lt;/p>
&lt;hr>
&lt;h2 id="database-engine-architecture">Database Engine Architecture&lt;/h2>
&lt;p>Netdata&amp;rsquo;s database engine provides a sophisticated, efficient solution for long-term metric storage through:&lt;/p>
&lt;ul>
&lt;li>Intelligent multi-tiered storage architecture&lt;/li>
&lt;li>Efficient compression and caching mechanisms&lt;/li>
&lt;li>Flexible retention strategies&lt;/li>
&lt;li>Distributed deployment options&lt;/li>
&lt;/ul>
&lt;p>This design enables organizations to maintain detailed historical data while optimizing storage use and maintaining query performance.&lt;/p></description></item><item><title>Network Monitoring Software With Real-Time Visibility</title><link>https://www.netdata.cloud/solutions/use-cases/network-monitoring/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/network-monitoring/</guid><description>Real-time network monitoring with per-second visibility, ML-powered anomaly detection, and zero-configuration deployment.</description></item><item><title>Best Of Category Badges Earned In 2024: G2 &amp; Capterra</title><link>https://www.netdata.cloud/blog/netdata-best-of-category-badges-in-2024/</link><pubDate>Mon, 23 Dec 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-best-of-category-badges-in-2024/</guid><description>&lt;h2 id="netdata-featured-with-multiple-best-of-category-badges-in-2024">Netdata Featured with Multiple “Best Of” Category Badges in 2024&lt;/h2>
&lt;p>As we are close to the end of this year, we are thrilled to announce that &lt;a href="https://www.capterra.com/p/251845/Netdata/?utm_source=vp&amp;utm_medium=blog&amp;utm_campaign=ts-q4-2024" target="_blank">&lt;strong>Netdata&lt;/strong>&lt;/a> has been recognized with multiple “Best of” badges from Gartner Digital Markets brands: &lt;a href="https://www.capterra.com/?utm_source=vp&amp;utm_medium=blog&amp;utm_campaign=ts-q4-2024" target="_blank">&lt;strong>Capterra&lt;/strong>&lt;/a>, &lt;a href="https://www.softwareadvice.com/?utm_source=vp&amp;utm_medium=blog&amp;utm_campaign=ts-q4-2024" target="_blank">&lt;strong>Software Advice&lt;/strong>&lt;/a>, and &lt;a href="https://www.getapp.com/?utm_source=vp&amp;utm_medium=blog&amp;utm_campaign=ts-q4-2024" target="_blank">&lt;strong>GetApp&lt;/strong>&lt;/a>, leading software recommendation search engines.&lt;/p>
&lt;p>This “Best of” badges program is an independent assessment that evaluates user reviews to help buyers identify the highest-rated software companies in specific categories that offer the most popular solutions.&lt;/p></description></item><item><title>Customize Your Netdata Experience with Favorites</title><link>https://www.netdata.cloud/blog/customize-your-netdata-experience-with-favorites/</link><pubDate>Mon, 09 Dec 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/customize-your-netdata-experience-with-favorites/</guid><description>&lt;h3 id="make-netdata-yours-with-favorites">Make Netdata yours with Favorites&lt;/h3>
&lt;p>Monitoring is personal. Different systems, workloads, and use-cases mean different charts matter to different users. Netdata now makes it easier than ever to customize your experience by letting you &lt;strong>favorite charts&lt;/strong> you care about most.&lt;/p>
&lt;h3 id="how-it-works">How it works&lt;/h3>
&lt;p>You&amp;rsquo;ll now see a &lt;strong>heart icon&lt;/strong> next to any chart or section of charts. Click it, and it instantly gets added to your &lt;strong>favorites&lt;/strong>. favorites appear right above your system overview metrics, so you see what matters most—first.&lt;/p></description></item><item><title>Features: Real-Time Monitoring With Per-Second Data</title><link>https://www.netdata.cloud/features/</link><pubDate>Sat, 23 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/</guid><description>Discover Netdata&amp;rsquo;s comprehensive monitoring features including AI-powered anomaly detection, distributed observability, real-time metrics, logs management, and enterprise-grade security controls.</description></item><item><title>Infrastructure Monitoring Solutions | Product Suite</title><link>https://www.netdata.cloud/product/</link><pubDate>Sat, 23 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/product/</guid><description>Discover Netdata&amp;rsquo;s comprehensive monitoring platform with autonomous agents, centralized streaming, cloud-native architecture, and powerful visualization tools.</description></item><item><title>Real-Time Infrastructure Monitoring Solutions</title><link>https://www.netdata.cloud/solutions/</link><pubDate>Sat, 23 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/</guid><description>Discover Netdata&amp;rsquo;s comprehensive monitoring solutions tailored for your role, industry, and technology stack. Per-second visibility, ML anomaly detection, and predictable pricing.</description></item><item><title>Native Windows Agent: Real-Time Windows Monitoring</title><link>https://www.netdata.cloud/blog/netdata-native-windows-agent/</link><pubDate>Fri, 08 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-native-windows-agent/</guid><description>&lt;p>We are pleased to announce a significant advancement in system monitoring: the launch of &lt;a href="https://www.netdata.cloud/solutions/windows-monitoring/">Netdata&amp;rsquo;s first-ever Native Windows Agent&lt;/a>. This release represents a major step forward in our mission to provide comprehensive and efficient monitoring solutions across all platforms. With the introduction of the native Windows agent, we are extending our robust monitoring capabilities to Windows environments, enabling seamless and unified monitoring across diverse infrastructures. This development is a direct response to the needs of our user community, who have expressed a strong demand for a powerful and intuitive Windows monitoring solution.&lt;/p></description></item><item><title>Accurate Process Monitoring with Netdata</title><link>https://www.netdata.cloud/blog/accurate-process-monitoring-with-netdata/</link><pubDate>Mon, 04 Nov 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/accurate-process-monitoring-with-netdata/</guid><description>&lt;p>Understand why tracking cumulative resource consumption is crucial for accurate process monitoring.&lt;/p>
&lt;!--truncate-->
&lt;h2 id="accurate-process-monitoring-with-netdata-why-tracking-cumulative-resource-consumption-matters">Accurate Process Monitoring with Netdata: Why Tracking Cumulative Resource Consumption Matters&lt;/h2>
&lt;p>Tracking the cumulative resource consumption of processes, including short-lived and exited children, is a rare feature in monitoring tools – and it’s one of the standout capabilities Netdata offers.&lt;/p>
&lt;p>Most mainstream solutions, like Datadog’s process monitoring and Prometheus’s Node Exporter, focus on active processes and only collect metrics per PID. Even specialized process monitors (&lt;code>top&lt;/code>, &lt;code>htop&lt;/code>, etc.) face the same limitations. They capture snapshots of currently running processes and often rely on fixed sampling intervals, which are too slow to catch very short-lived tasks. This approach falls short when trying to capture the resource footprint of dynamic applications, shell scripts, and complex process hierarchies.&lt;/p></description></item><item><title>Netdata is the only real-time monitoring solution: Justified</title><link>https://www.netdata.cloud/blog/netdata-is-the-only-real-time-monitoring-solution-justified/</link><pubDate>Wed, 10 Apr 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-is-the-only-real-time-monitoring-solution-justified/</guid><description>&lt;p>In the digital era, where data flows like a ceaseless river, real-time monitoring stands as a pivotal technology, allowing organizations to not only keep pace but also to deeply understand the intricate dance of their operational ecosystems. This technology is not just about keeping tabs; it&amp;rsquo;s about gaining a profound, almost intuitive sense of the micro-worlds within which systems, containers, services, and applications pulse and thrive.&lt;/p>
&lt;p>Real-time monitoring is the art and science of tracking system performance, activities, or transactions continuously and automatically, providing the ability to analyze and visualize data the moment it&amp;rsquo;s generated.&lt;/p></description></item><item><title>IoT Monitoring Challenges: Key Issues &amp; How To Overcome Them</title><link>https://www.netdata.cloud/blog/iot-monitoring-challenges/</link><pubDate>Thu, 11 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/iot-monitoring-challenges/</guid><description>&lt;p>With the increasing prevalence of IoT devices, which are being used in a wide range of applications, from smart homes and cities to industrial and agricultural systems, monitoring thei performance and health is extremely important. However, it’s essential to remember that monitoring IoT devices involves more than just tracking device-level data. In addition, monitoring data from the IoT platform or application layer is equally important.&lt;/p>
&lt;p>We’ll explore some of these topics in more detail and explain how Netdata can play an essential role in the monitoring of such devices, including some hints on how it can be set up for maximum performance in such scenarios.&lt;/p></description></item><item><title>System Operators: The Role Of SysOps In IT Infrastructure</title><link>https://www.netdata.cloud/blog/system-operators-unlock-log-management-mastery-with-systemd-journal-and-netdata/</link><pubDate>Fri, 03 Nov 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/system-operators-unlock-log-management-mastery-with-systemd-journal-and-netdata/</guid><description>&lt;p>System operators know the drill: as the complexity of systems scales, so does the deluge of logs. Traditionally, taming this relentless tide demands a concoction of costly tools and laborious configurations—until now. The dynamic duo of &lt;code>systemd-journal&lt;/code> and Netdata is revolutionizing log management, turning what was once a Herculean task into a streamlined, powerful, and surprisingly straightforward process.&lt;/p>
&lt;h2 id="efficient-handling-of-volume-and-velocity">Efficient Handling of Volume and Velocity&lt;/h2>
&lt;p>&lt;code>systemd-journal&lt;/code> is built to manage the deluge of data that systems generate, &lt;strong>without buckling under the speed and volume of incoming logs&lt;/strong>. It captures logs at the source, facilitating direct and immediate processing. By utilizing the journal&amp;rsquo;s native mechanism to send logs to a central server, system operators can bypass the complexities of traditional &lt;strong>log centralization methods&lt;/strong>.&lt;/p></description></item><item><title>Discover The New Netdata!</title><link>https://www.netdata.cloud/blog/discover-the-new-netdata/</link><pubDate>Fri, 27 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/discover-the-new-netdata/</guid><description>&lt;p>Missed the last &lt;strong>Netdata&lt;/strong> updates? Here is what is new:&lt;/p>
&lt;h2 id="explore-your-systemd-journal-logs-with-netdata">Explore your systemd-journal logs with Netdata&lt;/h2>
&lt;p>&lt;img src="https://github.com/netdata/blog/assets/139226121/7d2779c9-0efb-4491-8fe3-aedce1dc72fb" alt="systemd-journal-logs">&lt;/p>
&lt;p>Netdata &lt;a href="https://learn.netdata.cloud/docs/logs/systemd-journal/?utm_source=IL&amp;amp;utm_medium=internallinking&amp;amp;utm_campaign=new_netada">got a &lt;code>systemd&lt;/code>-journal logs explorer&lt;/a> to analyze your &lt;code>systemd&lt;/code>-journal logs, directly on their sources. By just installing &lt;strong>Netdata&lt;/strong> on any systemd based system, Netdata automatically finds all the &lt;strong>journal sources&lt;/strong> and presents a powerful dashboard to explore, search, filter and analyze your &lt;strong>logs&lt;/strong>. It works on both individual servers and journal centralization servers.&lt;/p></description></item><item><title>Improve Your Security With systemd-journal &amp; Netdata</title><link>https://www.netdata.cloud/blog/improve-your-security-with-systemd-and-netdata/</link><pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/improve-your-security-with-systemd-and-netdata/</guid><description>&lt;p>&lt;strong>&lt;code>systemd&lt;/code> journals&lt;/strong> play a crucial role in the Linux system ecosystem, and understanding the importance of the logs contained within is essential for both system administrators and developers.&lt;/p>
&lt;p>For those unfamiliar, &lt;code>systemd&lt;/code> is an init system employed by Linux distributions, initiates the user space and oversees all ensuing processes. One of its key components, &lt;code>systemd&lt;/code> journal, assumes a central role in logging system activities and messages, delivering a host of benefits to both system administrators, developers and cyber security engineers. The &lt;code>systemd&lt;/code> journal functions as a logging system that gathers, archives, and oversees log messages and event data originating from a diverse array of system components, encompassing the kernel, system services, applications, and user activities.&lt;/p></description></item><item><title>Monitoring vs Observability: Key Differences</title><link>https://www.netdata.cloud/blog/monitoring-vs-observability/</link><pubDate>Tue, 24 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitoring-vs-observability/</guid><description>&lt;p>As systems increasingly shift towards distributed architectures to deliver application services, the roles of monitoring and observability have never been more crucial. Monitoring delivers the situational awareness you need to detect issues, while &lt;a href="https://www.netdata.cloud/academy/what-is-observability/">observability goes a step further&lt;/a>, offering the analytical depth to understand the root cause of those issues.&lt;/p>
&lt;p>Understanding the nuanced differences between monitoring and observability is crucial for anyone responsible for system health and performance. In dissecting these methodologies, we&amp;rsquo;ll explore their unique strengths, dive into practical applications, and illuminate how to strategically employ each to enhance operational outcomes.&lt;/p></description></item><item><title>Netdata Cloud On Prem</title><link>https://www.netdata.cloud/blog/netdata-cloud-on-prem/</link><pubDate>Tue, 26 Sep 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-cloud-on-prem/</guid><description>&lt;p>We at &lt;strong>Netdata&lt;/strong> understand that &lt;a href="https://blog.netdata.cloud/future-of-infrastructure-monitoring/">infrastructure monitoring&lt;/a> can be a complex maze—high costs, specialized skill sets, scalability, data silos, and more. That&amp;rsquo;s why we have always aimed to streamline and modernize this critical operation. Today, we&amp;rsquo;re thrilled to announce the launch of &lt;a href="https://www.netdata.cloud/contact-us/?subject=on-prem">Netdata Cloud On Prem&lt;/a>, a ground-breaking solution designed for robust &lt;strong>on-prem infrastructure monitoring&lt;/strong> - it comes with all the &lt;strong>Netdata Cloud&lt;/strong> features you love but fully on prem.&lt;/p>
&lt;h2 id="netdata-cloud-on-prem">&lt;strong>Netdata Cloud On-Prem&lt;/strong>&lt;/h2>
&lt;p>While &lt;a href="https://www.netdata.cloud/">Netdata Cloud&lt;/a> never stores any of your metric data on the cloud and just streams it ephemerally while you view a chart, the demand for on premise infrastructure monitoring has never been more pressing. Many large enterprises, governmental organizations, research institutes and critical infrastructures require a level of data privacy, security, and customization that only an on-prem solution can offer.&lt;/p></description></item><item><title>Revolutionizing Ops Centers With Real-Time Monitoring</title><link>https://www.netdata.cloud/blog/revolutionizing-operations-centers-real-time-monitoring-solution/</link><pubDate>Fri, 19 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/revolutionizing-operations-centers-real-time-monitoring-solution/</guid><description>&lt;p>&lt;img src="../2023-05-19-revolutionizing-operations-centers-real-time-monitoring-solution/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>In today&amp;rsquo;s fast-paced digital landscape, 24-hour operations centers play a crucial role in managing and monitoring large-scale infrastructures. These centers must be equipped with an effective monitoring solution that addresses their unique needs, enabling them to respond quickly to incidents and maintain optimal system performance. Netdata, a comprehensive monitoring solution, has been designed to meet these critical requirements with its advanced capabilities and recent enhancements.&lt;/p>
&lt;p>In this article, we will explore how Netdata&amp;rsquo;s powerful features can transform the way 24-hour operations centers monitor and manage their complex environments, leading to improved incident detection, faster troubleshooting, and better overall system performance.&lt;/p></description></item><item><title>The Future Of Infrastructure Monitoring: Scalability &amp; AI</title><link>https://www.netdata.cloud/blog/future-of-infrastructure-monitoring/</link><pubDate>Fri, 19 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/future-of-infrastructure-monitoring/</guid><description>&lt;p>In this blog post, we will explore the importance of scalability, automation, and AI in the evolving landscape of &lt;a href="https://www.netdata.cloud/blog/what-is-infrastructure-monitoring/">infrastructure monitoring&lt;/a>. We will examine how Netdata&amp;rsquo;s innovative solution aligns with these emerging trends, and how it can empower organizations to effectively manage their modern IT infrastructure.&lt;/p>
&lt;!--truncate-->
&lt;p>In today&amp;rsquo;s increasingly complex IT landscape, the need for efficient and reliable infrastructure monitoring has never been more critical. With the &lt;a href="https://medium.com/capital-one-tech/the-microservices-paradox-e55d5af2fda5">proliferation of microservices&lt;/a>, distributed systems, and cloud-native applications, managing and monitoring the performance of these rapidly evolving environments has become a significant challenge. As a result, infrastructure monitoring solutions must adapt to keep pace with these changes and deliver the insights necessary to maintain optimal performance.&lt;/p></description></item><item><title>Monitoring Multi-Cloud &amp; Hybrid-Cloud Infrastructures</title><link>https://www.netdata.cloud/blog/monitoring-multi-cloud-hybrid-cloud/</link><pubDate>Tue, 16 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitoring-multi-cloud-hybrid-cloud/</guid><description>&lt;p>The advent of multi-cloud and hybrid-cloud architectures has created new opportunities for organizations to leverage best-in-class features from various cloud service providers. However, these complex environments present their own unique challenges, especially when it comes to monitoring and managing performance.&lt;/p>
&lt;!--truncate-->
&lt;h2 id="visibility">Visibility&lt;/h2>
&lt;p>The visibility challenge in multi-cloud and hybrid-cloud environments often stems from the use of disparate monitoring tools that are native to each cloud provider. While these native tools (like Amazon CloudWatch, Google Cloud Monitoring, and Azure Monitor) are excellent within their respective ecosystems, they don&amp;rsquo;t necessarily play well together when it comes to consolidating data and providing a comprehensive, unified view of your entire infrastructure.&lt;/p></description></item><item><title>Cloud Optimization: Cost, Performance &amp; Resource Strategies</title><link>https://www.netdata.cloud/blog/mastering-cloud-optimization/</link><pubDate>Sun, 14 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/mastering-cloud-optimization/</guid><description>&lt;p>Cloud optimization is the ongoing process of analyzing, configuring, and refining cloud environments to improve performance, reduce costs, and align resource usage with business needs. As cloud adoption grows, organizations must move beyond cost-cutting alone and treat optimization as a strategic practice.&lt;/p>
&lt;h2 id="cloud-optimization-strategies-to-achieve-business-goals">Cloud Optimization Strategies To Achieve Business Goals&lt;/h2>
&lt;p>Cloud optimization strategies generally focus on cost control, performance enhancement, and efficient resource utilization. These strategies range from selecting the right cloud service model (IaaS, PaaS, or SaaS), right-sizing your resources, adopting a &lt;a href="https://www.netdata.cloud/academy/what-is-cloud-management-how-to-maximize-efficiency/">multi-cloud approach&lt;/a>, automating processes, and investing in robust monitoring tools that can reliably reveal resources utilization and help you ensure that services are tailored to meet business objectives.&lt;/p></description></item><item><title>Migrating To Cloud: Key Challenges &amp; Best Practices</title><link>https://www.netdata.cloud/blog/migrating-to-cloud-key-challenges-best-practices/</link><pubDate>Sun, 14 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/migrating-to-cloud-key-challenges-best-practices/</guid><description>&lt;p>Embarking on a cloud migration journey? Grasp the obstacles and arm yourself with best practices for a smooth transition. Success lies in understanding, planning, and adapting.&lt;/p>
&lt;!--truncate-->
&lt;p>As we continue to advance further into the 21st century, businesses of all sizes are finding themselves in the midst of a digital revolution. At the heart of this transformation lies cloud migration, a process that has become a critical strategic decision for organizations aiming to remain competitive, innovative, and responsive to fluctuating market dynamics.&lt;/p></description></item><item><title>Transform Monitoring With A Machine Learning Approach</title><link>https://www.netdata.cloud/blog/transform-monitoring-ml-first-approach/</link><pubDate>Thu, 11 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/transform-monitoring-ml-first-approach/</guid><description>&lt;p>Unlocking the full potential of monitoring through ML integration, anomaly detection, and innovative scoring engines.&lt;/p>
&lt;!--truncate-->
&lt;p>Machine Learning has been making waves in various industries, but its adoption in the monitoring and observability space has been slower than expected. Many “ML” features remain gimmicky and do not provide actual real world value to users that encourages their further use.&lt;/p>
&lt;p>At Netdata, we firmly believe that ML is crucial for monitoring, and we&amp;rsquo;ve taken an ML-first approach to provide users with powerful tools and insights. In this blog post, we&amp;rsquo;ll discuss the reasons behind our belief in ML, how we&amp;rsquo;ve integrated ML into our charts and visualizations, our query engines, the scoring engine we&amp;rsquo;ve built, and how these innovations enable metrics correlations and anomaly advisor.&lt;/p></description></item><item><title>The Future of Monitoring is Automated and Opinionated</title><link>https://www.netdata.cloud/blog/the-future-of-monitoring-is-automated-and-opinionated/</link><pubDate>Tue, 09 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/the-future-of-monitoring-is-automated-and-opinionated/</guid><description>&lt;p>So, you think you monitor your infra?&lt;/p>
&lt;!-- truncate -->
&lt;p>As humanity increasingly relies on technology, &lt;a href="https://www.netdata.cloud/blog/future-of-infrastructure-monitoring/">the need for reliable and efficient infrastructure monitoring solutions has never been greater&lt;/a>.&lt;/p>
&lt;p>However, most businesses don&amp;rsquo;t take this seriously. They make poor choices that soon trap their best talent, the people who should be propelling them ahead of their competition.&lt;/p>
&lt;p>Consider this: most of the world believes that each company needs to dedicate time, talent, and money to configure and set up the monitoring of their web servers and database servers from scratch!&lt;/p></description></item><item><title>Infinite Scalability: Monitoring Without Limits</title><link>https://www.netdata.cloud/blog/netdata-inifinite-scalability/</link><pubDate>Thu, 04 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-inifinite-scalability/</guid><description>&lt;p>Scalability is crucial for monitoring systems as it ensures that they can accommodate growth, maintain performance, provide flexibility, optimize costs, enhance fault tolerance, and support informed decision-making, all of which are critical for effective infrastructure management.&lt;/p>
&lt;!--truncate-->
&lt;p>Most monitoring solutions struggle with scalability, mainly because of:&lt;/p>
&lt;ol>
&lt;li>&lt;strong>High data volume and velocity&lt;/strong>: Monitoring systems generate vast amounts of data and as the infrastructure grows, so does the volume and velocity of these data.&lt;/li>
&lt;li>&lt;strong>Resource constraints&lt;/strong>: Scalability requires efficient resource utilization, leading to bottlenecks and performance issues as the monitored environment grows.&lt;/li>
&lt;li>&lt;strong>Architectural limitations&lt;/strong>: Monitoring systems are usually designed with certain architectural constraints that limit their scalability. Most open source solutions rely on monolithic or centralized architectures that can become overwhelmed at scale.&lt;/li>
&lt;/ol>
&lt;p>For open source solutions scalability has always been a challenge, increasing their complexity significantly (check for example the scalability issues of Prometheus), while for commercial solutions it usually results in increased data collection to visualization latency and cost.&lt;/p></description></item><item><title>Monitoring Disks: Workload, Latency &amp; Saturation</title><link>https://www.netdata.cloud/blog/monitoring-disks-understanding-workload-performance-utilisation-saturation-latency/</link><pubDate>Thu, 04 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitoring-disks-understanding-workload-performance-utilisation-saturation-latency/</guid><description>&lt;p>&lt;img src="../2023-05-04-monitoring-disks-understanding-workload-performance-utilisation-saturation-latency/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>Netdata provides a comprehensive set of charts that can help you understand the workload, performance, utilization, saturation, latency, responsiveness, and maintenance activities of your disks.
In this blog we will focus on monitoring disks as block devices, not as filesystems or mount points.&lt;/p>
&lt;!-- truncate -->
&lt;p>The &lt;code>Disks&lt;/code> section in the &lt;code>Overview&lt;/code> tab contains all the charts that are mentioned in this blog post.
&lt;img src="../2023-05-04-monitoring-disks-understanding-workload-performance-utilisation-saturation-latency/img/disks-overview.png" alt="Disks-Overview">&lt;/p>
&lt;h2 id="disk-workload-and-performance">Disk Workload and Performance&lt;/h2>
&lt;p>Netdata charts for monitoring the workload and the throughput of your disks:&lt;/p></description></item><item><title>Understanding Huge Pages</title><link>https://www.netdata.cloud/blog/understanding-huge-pages/</link><pubDate>Thu, 04 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/understanding-huge-pages/</guid><description>&lt;p>Memory-intensive applications can benefit from &lt;a href="https://www.netdata.cloud/academy/what-is-application-performance-monitoring-apm/">improved performance&lt;/a> by using huge pages, as they can reduce TLB pressure and memory fragmentation, and lower the memory management overhead overall. Developers should consider using HugeTLBfs in their mmap() and shmget() calls to take advantage of huge pages.&lt;/p>
&lt;p>Transparent Huge Pages (THP) is a Linux kernel feature that provides some of the benefits of huge pages without requiring any development effort. However, THP can cause latency in many applications. Although kernel developers are actively working to address these issues, many system administrators prefer to disable THP altogether.&lt;/p></description></item><item><title>Entropy In Cryptography: Key To Security &amp; Randomness</title><link>https://www.netdata.cloud/blog/understanding-entropy-the-key-to-secure-cryptography-and-randomness/</link><pubDate>Wed, 03 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/understanding-entropy-the-key-to-secure-cryptography-and-randomness/</guid><description>&lt;p>&lt;img src="../2023-05-03-understanding-entropy-the-key-to-secure-cryptography-and-randomness/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>&lt;a href="https://en.wikipedia.org/wiki/Entropy_(computing)">Entropy&lt;/a> is a measure of the randomness or unpredictability of data. In the context of cryptography, entropy is used to generate random numbers or keys that are essential for secure communication and encryption. Without a good source of entropy, cryptographic protocols can become vulnerable to attacks that exploit the predictability of the generated keys.&lt;/p>
&lt;!-- truncate -->
&lt;h2 id="what-is-entropy">What is Entropy?&lt;/h2>
&lt;p>In most operating systems, entropy is generated by collecting random events from various sources, such as hardware interrupts, mouse movements, keyboard presses, and disk activity. These events are fed into a pool of entropy, which is then used to generate random numbers when needed.&lt;/p></description></item><item><title>Context Switching &amp; Its Impact On System Performance</title><link>https://www.netdata.cloud/blog/understanding-context-switching-and-its-impact-on-system-performance/</link><pubDate>Tue, 02 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/understanding-context-switching-and-its-impact-on-system-performance/</guid><description>&lt;p>&lt;img src="../2023-05-02-understanding-context-switching-and-its-impact-on-system-performance/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>Context switching is the process of switching the CPU from one process, task or thread to another. In a multitasking operating system, such as Linux, the CPU has to switch between multiple processes or threads in order to keep the system running smoothly. This is necessary because each CPU core without hyperthreading can only execute one process or thread at a time. If there are many processes or threads running simultaneously, and very few CPU cores available to handle them, the system is forced to make more context switches to balance the CPU resources among them.&lt;/p></description></item><item><title>Server Uptime Monitoring: Core Benefits For High Performance</title><link>https://www.netdata.cloud/blog/server-uptime-monitoring-why-do-we-need-it/</link><pubDate>Tue, 02 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/server-uptime-monitoring-why-do-we-need-it/</guid><description>&lt;p>&lt;img src="../2023-05-02-server-uptime-monitoring-why-do-we-need-it/img/stacked-netdata.png" alt="Server Uptime Monitoring: Core Benefits For High Performance">&lt;/p>
&lt;p>Server uptime monitoring tracks the availability and reliability of servers within your infrastructure.&lt;/p>
&lt;!-- truncate -->
&lt;h2 id="what-is-server-uptime-monitoring">What Is Server Uptime Monitoring?&lt;/h2>
&lt;p>Server uptime monitoring is the process of continuously tracking the operational status of your servers to ensure optimal performance and availability for users.&lt;/p>
&lt;p>With Netdata, you gain access to real-time, high-resolution monitoring that goes beyond basic checks, providing a detailed overview of your entire infrastructure.&lt;/p></description></item><item><title>Understanding Interrupts, Softirqs, and Softnet in Linux</title><link>https://www.netdata.cloud/blog/understanding-interrupts-softirqs-and-softnet-in-linux/</link><pubDate>Tue, 02 May 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/understanding-interrupts-softirqs-and-softnet-in-linux/</guid><description>&lt;p>&lt;img src="../2023-05-02-understanding-interrupts-softirqs-and-softnet-in-linux/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>Interrupts, softirqs, and softnet are all critical parts of the Linux kernel that can impact system performance. In this blog post, we&amp;rsquo;ll explore their usefulness, and discuss how to monitor them using Netdata for both bare-metal servers and VMs.&lt;/p>
&lt;!-- truncate -->
&lt;h2 id="what-are-interrupts">What are Interrupts?&lt;/h2>
&lt;p>Interrupts are signals generated by hardware devices to indicate that they require attention from the CPU. Hardware devices can generate interrupts for a variety of reasons, including data transmission or reception, input/output operations, and other activities. When an interrupt is generated, the CPU stops what it is doing and handles the interrupt. Interrupts can have a significant impact on system performance, especially if there are a high number of interrupts occurring.&lt;/p></description></item><item><title>Why Scalable Monitoring Matters For Modern Systems</title><link>https://www.netdata.cloud/blog/why-scalable-monitoring-is-essential-for-modern-distributed-systems/</link><pubDate>Wed, 26 Apr 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/why-scalable-monitoring-is-essential-for-modern-distributed-systems/</guid><description>&lt;p>&lt;img src="../2023-04-26-why-scalable-monitoring-is-essential/img/stacked-netdata.png" alt="stacked-netdata">&lt;/p>
&lt;p>It&amp;rsquo;s becoming increasingly common to discuss the importance of scalability in monitoring solutions and how it can impact the performance and reliability of distributed systems.&lt;/p>
&lt;!-- truncate -->
&lt;p>In today&amp;rsquo;s rapidly evolving technological landscape, organizations are increasingly relying on distributed systems to power their operations. These systems consist of multiple interconnected components that work together to deliver a cohesive experience. They can span across different geographic locations, and often involve a combination of &lt;a href="https://www.netdata.cloud/product/cloud-on-premises/">on-premises, cloud&lt;/a>, and &lt;a href="https://www.netdata.cloud/solutions/technologies/docker-monitoring/">container-based environments&lt;/a>. As such, effectively managing these complex systems is critical to ensuring optimal performance, reliability, and security.&lt;/p></description></item><item><title>Remote UNIX System Monitoring Using Net-SNMP</title><link>https://www.netdata.cloud/blog/remote-unix-monitoring-with-net-snmp/</link><pubDate>Wed, 12 Apr 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/remote-unix-monitoring-with-net-snmp/</guid><description>&lt;p>&lt;img src="../2023-04-12-remote-unix-monitoring-with-net-snmp/img/img.jpg" alt="img">&lt;/p>
&lt;p>Need to monitor a UNIX-like system, but can’t install Netdata on it? With our SNMP collector and Net-SNMP,
you can get basic system information with just a bit of relatively quick and easy configuration.&lt;/p>
&lt;!-- truncate -->
&lt;h2 id="what-is-snmp">What is SNMP?&lt;/h2>
&lt;p>The Simple Network Management Protocol, commonly known as SNMP, is a relatively lightweight protocol designed for
monitoring and configuration management for network appliances like switches, routers or gateways. However, it can also
be used for those purposes on almost any UNIX-like system thanks to the &lt;a href="http://www.net-snmp.org/">Net-SNMP project&lt;/a>.&lt;/p></description></item><item><title>Windows Server Monitoring Improvements</title><link>https://www.netdata.cloud/blog/windows-monitoring-improvements/</link><pubDate>Mon, 13 Mar 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/windows-monitoring-improvements/</guid><description>&lt;p>&lt;a href="https://www.netdata.cloud/blog/web-servers-and-their-performance/">Monitor your Windows server and applications&lt;/a> running on it with Netdata - simple, powerful and free.&lt;/p>
&lt;!--truncate-->
&lt;p>Hey Netdata community,&lt;/p>
&lt;p>We have some exciting news for you: we’re launching our new and updated &lt;a href="https://learn.netdata.cloud/docs/data-collection/monitor-anything/System%20Metrics/Windows-machines">Windows collectors&lt;/a> with the goal of making the &lt;a href="https://www.netdata.cloud/windows-monitoring/">Windows monitoring experience&lt;/a> as seamless as possible 🎉&lt;/p>
&lt;p>We know that Windows monitoring has been a long time ask from many of you, and we’ve been working hard to make it easier than ever to monitor your Windows metrics with Netdata.&lt;/p></description></item><item><title>Anomaly detection on Prometheus metrics</title><link>https://www.netdata.cloud/blog/anomaly-detection-on-prometheus-metrics/</link><pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/anomaly-detection-on-prometheus-metrics/</guid><description>&lt;p>&lt;img src="../2023-03-01-anomaly-detection-on-prometheus-metrics/img/img.png" alt="img">&lt;/p>
&lt;p>We have recently extended the native machine learning (ML) based anomaly detection &lt;a href="https://learn.netdata.cloud/guides/monitor/anomaly-detection">capabilities&lt;/a> of Netdata to &lt;a href="https://github.com/netdata/netdata/issues/14218">support all metrics&lt;/a>, regardless on their collection frequency (&lt;code>update every&lt;/code>).&lt;/p>
&lt;p>Previously only metrics collected every second were supported, but now Netdata can run anomaly detection out of the box with zero config on metrics with any collection frequency.&lt;/p>
&lt;p>This post will illustrate an example of what this means using &lt;a href="https://prometheus.io/">Prometheus&lt;/a> metrics (via the &lt;a href="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus#gsc.tab=0">Netdata Prometheus collector&lt;/a>) since they typically have a default collection frequency of 10 seconds.&lt;/p></description></item><item><title>Monitor any SQL metrics with Netdata (and Pandas ❤️)</title><link>https://www.netdata.cloud/blog/monitor-any-sql-metrics-with-netdata/</link><pubDate>Wed, 22 Feb 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/monitor-any-sql-metrics-with-netdata/</guid><description>&lt;p>&lt;img src="../2023-02-22-monitor-any-sql-metrics-with-netdata/img/img.png" alt="img">&lt;/p>
&lt;p>We recently got this great feedback from a dear user in our &lt;a href="https://discord.com/channels/847502280503590932/1075370683393118278/1075723915265069106">Discord&lt;/a>:&lt;/p>
&lt;blockquote>
&lt;p>I would really like to use Netdata to monitor custom internal metrics that come from SQL, not a fan of having 10 diff systems doing essentially the same thing as is, Netdata is pretty much all there in that regard, just needs a few extra features.&lt;/p>
&lt;/blockquote>
&lt;p>This is great and exactly what we want, a clear problem or improvement we could make to help make that users monitoring life a little easier.&lt;/p></description></item><item><title>Introducing Netdata Functions (↑ Top)</title><link>https://www.netdata.cloud/blog/netdata-functions/</link><pubDate>Wed, 15 Feb 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-functions/</guid><description>&lt;p>Netdata is committed to making it simpler and easier for everyone to monitor and troubleshoot their infrastructure. With that goal in mind, we&amp;rsquo;re excited to announce the launch of our new &amp;ldquo;Functions&amp;rdquo; feature (↑ Top), which allows Netdata Agent collectors to expose &amp;ldquo;functions&amp;rdquo; that can be executed in run-time and on-demand.&lt;/p>
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&lt;h3 id="what-are-netdata-functions">What are Netdata functions?&lt;/h3>
&lt;p>Netdata has always been synonymous with real time monitoring and automated dashboards, with the recent introduction of &amp;ldquo;functions&amp;rdquo;, there&amp;rsquo;s now a new way for users to troubleshoot their infrastructure. &lt;strong>A function, in the context of Netdata, is a routine or script that can be invoked to run on a node and retrieve useful information, which is then displayed in the Netdata cloud dashboard.&lt;/strong>&lt;/p></description></item><item><title>Monitor &amp; Troubleshoot ISP Performance With Netdata</title><link>https://www.netdata.cloud/blog/speedtest-monitoring/</link><pubDate>Mon, 28 Nov 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/speedtest-monitoring/</guid><description>&lt;p>Find out how to monitor your Internet speed and quality and how well your ISP is performing.&lt;/p>
&lt;p>&lt;img src="https://user-images.githubusercontent.com/24860547/204470316-4682e442-6df1-4c77-b1e4-fdd96dd404f0.jpg" alt="logo">&lt;/p>
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&lt;h2 id="what-factors-affect-my-internet-speed">What Factors Affect My Internet Speed?&lt;/h2>
&lt;p>Several factors can influence your internet speed, ranging from your ISP&amp;rsquo;s infrastructure to your home setup. Here&amp;rsquo;s a breakdown:&lt;/p>
&lt;h3 id="1-isp-plan--bandwidth">1. ISP Plan &amp;amp; Bandwidth&lt;/h3>
&lt;p>The speed you experience depends on the plan you choose from your ISP. Higher-tier plans offer more bandwidth, which means faster speeds for downloading, streaming, and gaming.&lt;/p></description></item><item><title>Monitoring &amp; troubleshooting Cassandra with Netdata</title><link>https://www.netdata.cloud/blog/cassandra-monitoring-part2/</link><pubDate>Sat, 29 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/cassandra-monitoring-part2/</guid><description>&lt;p>How to monitor and troubleshoot Cassandra with Netdata.&lt;/p>
&lt;p>&lt;img src="https://user-images.githubusercontent.com/24860547/198524087-37dda416-a9a9-4c55-b379-0f46e990f83f.png" alt="logo">&lt;/p>
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&lt;p>&lt;em>&lt;strong>Note&lt;/strong>: This post is the second part of a Cassandra monitoring series. Be sure to read our first entry &lt;a href="https://blog.netdata.cloud/cassandra-monitoring-part1">here&lt;/a>.&lt;/em>&lt;/p>
&lt;h2 id="monitoring-cassandra-with-netdata">Monitoring Cassandra with Netdata&lt;/h2>
&lt;p>Netdata’s &lt;a href="https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/cassandra">Cassandra collector documentation&lt;/a> explains how to set it up to collect metrics automatically.&lt;/p>
&lt;p>Once you have followed the instructions in the docs and have installed and configured Netdata on the Cassandra cluster you are ready to start monitoring and troubleshooting. Check out the &lt;a href="https://app.netdata.cloud/spaces/netdata-demo/rooms/cassandra/overview">Cassandra demo room&lt;/a> to interact with the charts, metrics and other functionality described here.&lt;/p></description></item><item><title>How to monitor and fix Database bloats in PostgreSQL?</title><link>https://www.netdata.cloud/blog/postgresql-database-bloat/</link><pubDate>Fri, 28 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/postgresql-database-bloat/</guid><description>&lt;p>Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes. Here&amp;rsquo;s how to deal with it!&lt;/p>
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&lt;h2 id="what-is-database-bloat">What is Database bloat?&lt;/h2>
&lt;p>Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when deleting or updating tables and indexes.&lt;/p></description></item><item><title>Cassandra Monitoring: Key Metrics &amp; Best Practices</title><link>https://www.netdata.cloud/blog/cassandra-monitoring-part1/</link><pubDate>Thu, 27 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/cassandra-monitoring-part1/</guid><description>&lt;p>What are the important Cassandra metrics to monitor and how to monitor them.&lt;/p>
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&lt;h2 id="what-is-cassandra--why-use-it">What Is Cassandra &amp;amp; Why Use It&lt;/h2>
&lt;p>Cassandra is an open-source, distributed, wide-column NoSQL database management system written in Java. Cassandra was originally developed by &lt;a href="https://twitter.com/hedvigeng">Avinash Lakshmanan&lt;/a> and &lt;a href="https://twitter.com/pmalik">Prashant Malik&lt;/a> at Facebook and then released as open source, eventually becoming part of the &lt;a href="https://www.netdata.cloud/apache-monitoring/">Apache&lt;/a> project.&lt;/p>
&lt;p>&lt;a href="https://www.netdata.cloud/integrations/data-collection/databases/cassandra/">Cassandra is a NoSQL database&lt;/a> - NoSQL (also known as &amp;ldquo;not only SQL&amp;rdquo;) databases do not require data to be stored in tabular format. They provide flexible schemas and scale easily with large amounts of data and high user loads.&lt;/p></description></item><item><title>How to find out which application is causing server load</title><link>https://www.netdata.cloud/blog/server-load/</link><pubDate>Wed, 26 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/server-load/</guid><description>&lt;p>We often hear the term load used to describe the state of a server or a device, but we&amp;rsquo;re here to tell you what it means, precisely, and how to monitor it.&lt;/p>
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&lt;h2 id="what-is-server-load">What is server load?&lt;/h2>
&lt;p>We often hear the term &amp;ldquo;load&amp;rdquo; used to describe the state of a server or a &lt;a href="https://www.netdata.cloud/blog/iot-monitoring-challenges/">device&lt;/a>. But what does it really mean?&lt;/p>
&lt;p>System load is a measure of the amount of computational work that a system performs. An overloaded system, by definition, isn&amp;rsquo;t able to complete all its
tasks per schedule - this affects the performance and productivity of the system. And while &amp;ldquo;load&amp;rdquo; often gets conflated with CPU usage there&amp;rsquo;s a lot more to it.&lt;/p></description></item><item><title>How to monitor systemd service liveness</title><link>https://www.netdata.cloud/blog/systemd-service-liveness/</link><pubDate>Fri, 21 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/systemd-service-liveness/</guid><description>&lt;p>The life of a sysadmin or SRE is often difficult, but occasionally very simple things can make a huge difference. Basic monitoring of your systemd services is one of those simple things, which we sometimes overlook. The simplest question one would want to know is if the thing that’s supposed to be running is actually running at all. If you use systemd services, you can guarantee an answer to that question within minutes using Netdata.&lt;/p></description></item><item><title>How to monitor host reachability</title><link>https://www.netdata.cloud/blog/how-to-monitor-host-reachability/</link><pubDate>Mon, 10 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/how-to-monitor-host-reachability/</guid><description>&lt;p>Most sysadmins and developers have at some point used a few of the popular &lt;a href="https://www.tecmint.com/linux-networking-commands" target="_blank" rel="noopener">Linux networking commands&lt;/a> or their Windows equivalents to answer the common questions of &lt;a href="https://www.netdata.cloud/blog/web-servers-and-their-performance/">host reachability&lt;/a> - that is, whether a host or service is reachable and how fast it responds.&lt;/p>
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&lt;h2 id="common-approaches-to-reachability">Common approaches to reachability&lt;/h2>
&lt;p>One of the simplest, common checks, is to simply &lt;code>ping&lt;/code> a host to verify that it’s reachable from where you issue the command, and to see the total time it takes for the host to receive your request.&lt;/p></description></item><item><title>Netdata vs KloudFuse | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/kloudfuse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/kloudfuse/</guid><description>Discover why Netdata delivers instant infrastructure visibility with per-second granularity and transparent pricing, while KloudFuse requires days of setup and quote-based costs.</description></item></channel></rss>