<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Observability on Netdata</title><link>https://www.netdata.cloud/tags/observability/</link><description>Recent content in Observability 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/observability/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>Robot Fleet Monitoring with Per-Second Edge Intelligence</title><link>https://www.netdata.cloud/solutions/industries/robotics/</link><pubDate>Thu, 25 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/industries/robotics/</guid><description>Netdata runs on each robot, collecting per-second metrics for compute, memory, storage, thermals, and network — keeping thousands of devices observable even on intermittent site networks, without centralized SaaS.</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>Grafana vs Datadog: The honest comparison in 2026</title><link>https://www.netdata.cloud/comparisons/grafana-vs-datadog/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/grafana-vs-datadog/</guid><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>
&lt;!--truncate-->
&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 AI-powered observability platforms in 2026</title><link>https://www.netdata.cloud/resources/best-ai-powered-observability-platforms/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/resources/best-ai-powered-observability-platforms/</guid><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>The Best Infrastructure Monitoring Tools In 2026</title><link>https://www.netdata.cloud/resources/best-infrastructure-monitoring-tools/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/resources/best-infrastructure-monitoring-tools/</guid><description/></item><item><title>The best open-source observability tools in 2026</title><link>https://www.netdata.cloud/resources/best-open-source-observability-tools/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/resources/best-open-source-observability-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>Conversations: Ask Netdata About Anything You're Looking At</title><link>https://www.netdata.cloud/blog/converse-with-everything-in-netdata/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/converse-with-everything-in-netdata/</guid><description>&lt;p>Netdata AI can already troubleshoot your alerts and generate Insights reports. What it couldn&amp;rsquo;t do, until now, was have a back-and-forth conversation. You could get a one-shot analysis, but you couldn&amp;rsquo;t ask follow-up questions, pull in additional context, or go from a quick question to a full investigation without starting over.&lt;/p>
&lt;p>We&amp;rsquo;ve added a conversational layer to Netdata AI. You&amp;rsquo;ll notice a new blue chat icon throughout Netdata Cloud, on charts, in the alerts table, on Insights reports, and in the reports list. Click it, and you&amp;rsquo;re in a conversation where the thing you clicked on is already the context. No copy-pasting metric names, no explaining what you&amp;rsquo;re looking at.&lt;/p></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>Introducing the Netdata Cloud MCP Server</title><link>https://www.netdata.cloud/blog/netdata-cloud-mcp-server/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-cloud-mcp-server/</guid><description>&lt;p>The Netdata Cloud MCP Server is now available — giving AI agents and assistants direct access to your Netdata through a single endpoint at &lt;code>app.netdata.cloud/api/v1/mcp&lt;/code>.&lt;/p>
&lt;!--truncate-->
&lt;h2 id="ai-is-changing-how-we-monitor-infrastructure">AI Is Changing How We Monitor Infrastructure&lt;/h2>
&lt;p>If you&amp;rsquo;re an engineer in 2026, chances are AI is already part of your daily workflow, whether that&amp;rsquo;s a general-purpose assistant like ChatGPT, Claude, or Gemini that you bounce questions off, or a coding agent like &lt;a href="https://docs.anthropic.com/en/docs/claude-code">Claude Code&lt;/a>, &lt;a href="https://openai.com/index/codex/">Codex&lt;/a>, &lt;a href="https://www.cursor.com/">Cursor&lt;/a>, or &lt;a href="https://windsurf.com/">Windsurf&lt;/a> that writes and debugs code alongside you. These tools are incredibly powerful, but until now, they&amp;rsquo;ve been blind to what&amp;rsquo;s actually happening on your infrastructure.&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>
&lt;!--truncate-->
&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>Introducing Real-Time Conversations with Netdata AI</title><link>https://www.netdata.cloud/blog/ai-conversations/</link><pubDate>Tue, 23 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/ai-conversations/</guid><description>&lt;p>Over the past few months, we&amp;rsquo;ve seen incredible adoption of our AI Investigations and Insights reports. Teams are using them to automate the deep, thoughtful analysis required for complex post-mortems, capacity planning, and performance optimization. These comprehensive reports are fantastic when you need a well-researched, shareable document.&lt;/p>
&lt;p>But what about the moments &lt;em>during&lt;/em> an investigation? What about the rapid-fire &amp;ldquo;what if&amp;rdquo; questions and the quick exploration of hypotheses that happen in the heat of the moment? For that, you need speed and interactivity. You need a partner you can have a real-time dialogue with.&lt;/p></description></item><item><title>Cloud Monitoring Software With Real-Time Metrics &amp; AI</title><link>https://www.netdata.cloud/solutions/use-cases/cloud-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/cloud-monitoring/</guid><description>Transform cloud operations with Netdata&amp;rsquo;s distributed observability platform. Get per-second insights, AI-powered troubleshooting, and predictable costs - all while keeping your data sovereign.</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>Gaming Infrastructure Monitoring &amp; Observability</title><link>https://www.netdata.cloud/solutions/industries/gaming/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/industries/gaming/</guid><description>Netdata delivers true real-time monitoring for gaming infrastructure with per-second metrics, edge-based ML anomaly detection, and AI-powered troubleshooting - enabling lean teams to maintain 99.9% uptime while reducing monitoring costs by 90%.</description></item><item><title>Hybrid Cloud Monitoring Solution At 90% Lower Cost</title><link>https://www.netdata.cloud/solutions/use-cases/hybrid-cloud-observability/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/hybrid-cloud-observability/</guid><description>Transform hybrid cloud monitoring with Netdata&amp;rsquo;s distributed edge-native architecture. Get per-second visibility, ML-powered insights, and 90% cost savings without pipelines, sampling, or vendor lock-in.</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 Amazon CloudWatch | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/cloudwatch/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/cloudwatch/</guid><description>Netdata provides 90% cost reduction vs CloudWatch with superior real-time monitoring (1-second vs 1-60 minutes), comprehensive ML on all metrics, and zero-configuration simplicity. Deploy in 60 seconds and eliminate CloudWatch&amp;rsquo;s unpredictable costs while gaining better visibility.</description></item><item><title>Netdata vs Azure Monitor | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/azuremonitor/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/azuremonitor/</guid><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 EdgeDelta | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/edgedelta/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/edgedelta/</guid><description>Complete edge-native observability vs telemetry pipelines. See how Netdata provides real-time monitoring, ML-powered insights, and automated dashboards without the complexity of data routing infrastructure.</description></item><item><title>Netdata vs Fluentd | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/fluentd/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/fluentd/</guid><description>Netdata provides complete real-time observability with metrics, logs, ML anomaly detection, and AI troubleshooting in a single platform. Fluentd excels at log collection and routing. Learn how they complement each other and when Netdata replaces entire monitoring stacks.</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 Nagios | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/nagios/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/nagios/</guid><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>Service Mesh Observability Without Overhead</title><link>https://www.netdata.cloud/solutions/use-cases/service-mesh-observability/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/service-mesh-observability/</guid><description>Netdata revolutionizes service mesh observability with true real-time monitoring, automatic anomaly detection, and transparent pricing - solving the cost explosion, performance overhead, and complexity that plague traditional solutions.</description></item><item><title>Text-To-Alert: Create Alerts From Natural Language</title><link>https://www.netdata.cloud/blog/ai-alerts/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/ai-alerts/</guid><description>&lt;p>Netdata has an incredibly powerful alerting engine. But this can sometimes be a double-edged sword: the flexibility to build incredibly specific, intelligent alerts is immense, but mastering its syntax can feel like learning a new language. We’ve heard this from so many of you. You tell us that configuring alerts is often the steepest part of the learning curve, a task that falls to the one &amp;ldquo;Netdata expert&amp;rdquo; on the team who has spent the time digging through the documentation.&lt;/p></description></item><item><title>Windows Event Log Monitoring Software</title><link>https://www.netdata.cloud/solutions/use-cases/windows-event-logs/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/windows-event-logs/</guid><description>Netdata revolutionizes Windows Event Log monitoring by combining infrastructure metrics with native log access, ML anomaly detection, and AI troubleshooting - delivering comprehensive observability at a fraction of traditional SIEM costs.</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>Gartner IOCS 2025: Tackling Observability Overspend</title><link>https://www.netdata.cloud/blog/gartner-iocs-2025/</link><pubDate>Fri, 07 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/gartner-iocs-2025/</guid><description>&lt;p>The observability market is facing a paradox. As organizations spend more than ever on monitoring tools, their infrastructure complexity continues to grow, and incident resolution times often remain stubbornly high. Teams are drowning in data, struggling with tool sprawl, and facing unpredictable, budget-breaking bills.&lt;/p>
&lt;p>This challenge, how to gain better visibility without spiraling costs, is one of the most critical conversations for IT leaders today.&lt;/p>
&lt;!--truncate-->
&lt;p>That&amp;rsquo;s why the Netdata team is heading to Las Vegas for the &lt;strong>Gartner IT Infrastructure, Operations &amp;amp; Cloud Strategies (IOCS) Conference&lt;/strong> from December 9-11, 2025. We&amp;rsquo;ll be there to discuss this challenge head-on and share our vision for a more efficient and intelligent future for observability.&lt;/p></description></item><item><title>ServiceNow Integration: Streamline Incident Response</title><link>https://www.netdata.cloud/blog/servicenow-integration/</link><pubDate>Fri, 07 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/servicenow-integration/</guid><description>&lt;p>When a critical alert fires at 2 AM, the last thing your on-call engineer should be doing is manual administrative work. Yet, for many teams, that&amp;rsquo;s exactly what happens. You see the alert in your monitoring tool, then you have to switch contexts, open a new browser tab, log into your ITSM platform, and manually create an incident—all while your systems are failing.&lt;/p>
&lt;p>This &amp;ldquo;swivel-chairing&amp;rdquo; between tools is slow, error-prone, and a significant drag on your Mean Time to Resolution (MTTR).&lt;/p></description></item><item><title>SOC 2 Type 2: Validated Security Controls Over Time</title><link>https://www.netdata.cloud/blog/soc2-type-2-compliance/</link><pubDate>Thu, 16 Oct 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/soc2-type-2-compliance/</guid><description>&lt;p>We&amp;rsquo;re excited to share that Netdata has successfully achieved SOC 2 Type 2 attestation.&lt;/p>
&lt;!--truncate-->
&lt;p>Following a five-month audit conducted by Sensiba LLP, we can now confirm that our security controls work consistently in practice. The audit covered the period from April 1 to August 31, 2025, and tested whether our controls operated effectively throughout that entire timeframe.&lt;/p>
&lt;p>Back in April, we announced our &lt;a href="https://www.netdata.cloud/blog/soc-2-type1/">SOC 2 Type 1 attestation&lt;/a>, which validated that our security controls were properly designed at a specific point in time. We also mentioned we were entering the monitoring period for Type 2. Today we can share the results.&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>Save Hours on Troubleshooting with Automated Investigations</title><link>https://www.netdata.cloud/blog/automated-investigations/</link><pubDate>Mon, 04 Aug 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/automated-investigations/</guid><description>&lt;p>How many times has your team stared at a dashboard, pointed to a spike, and asked a question that charts alone can&amp;rsquo;t answer? &amp;ldquo;What was the real impact of that deployment?&amp;rdquo; &amp;ldquo;Why are our Kubernetes pods in the us-east-1 cluster suddenly crashing?&amp;rdquo; &amp;ldquo;Are we wasting money on overprovisioned servers?&amp;rdquo;&lt;/p>
&lt;!--truncate-->
&lt;p>Answering these questions is the real work of operations and SRE. It often kicks off a time-consuming scramble, sending engineers down rabbit holes for hours, days, or even weeks. You dig through logs, correlate metrics across services, and piece together clues from Slack conversations and Jira tickets.&lt;/p></description></item><item><title>Netdata Implements MCP Protocol</title><link>https://www.netdata.cloud/blog/netdata-mcp-server/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-mcp-server/</guid><description>&lt;p>&lt;strong>Update (February 2026):&lt;/strong> Netdata now also provides MCP via Netdata Cloud at &lt;code>app.netdata.cloud/api/v1/mcp&lt;/code> for infrastructure-wide access (Business/Homelab plan). See &lt;a href="https://learn.netdata.cloud/docs/netdata-ai/mcp">MCP documentation&lt;/a> for details.&lt;/p>
&lt;hr>
&lt;p>We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.&lt;/p>
&lt;p>By enabling direct connections between AI assistants and your data sources and tools, the Model Context Protocol is a new open standard that builds a crucial link between artificial intelligence and practical systems. Instead of the AI providing generic suggestions that don’t understand your environment, MCP enables it to communicate and then interact with your infrastructure data in real time.
Being among the first monitoring platforms to adopt this groundbreaking protocol, Netdata is at the forefront of intelligent observability. With the help of this integration, traditional monitoring becomes a dialogue that your entire technical team is able to participate in.
We encourage you to dive deeper into the technical foundations of MCP, explore &lt;a href="https://www.anthropic.com/news/model-context-protocol">Anthropic&amp;rsquo;s comprehensive&lt;/a> explanation, and discover how this protocol is reshaping the future of AI-data interaction.&lt;/p></description></item><item><title>Introducing Netdata Insights</title><link>https://www.netdata.cloud/blog/netdata-insights/</link><pubDate>Tue, 27 May 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/netdata-insights/</guid><description>&lt;p>We&amp;rsquo;ve been thinking a lot about synthesis lately.&lt;/p>
&lt;p>Netdata already samples every metric every second at the edge. Engineers told us the remaining pain point was synthesis, the ability to pull hours or days or months of high‑resolution time‑series into a concise explanation they could hand to a teammate (or use themselves to debug faster).&lt;/p>
&lt;!--truncate-->
&lt;p>You know the pattern. An incident happens, and suddenly you&amp;rsquo;re context-switching between dozens of dashboards, trying to reconstruct a timeline. Or you need to write a capacity planning report, and you&amp;rsquo;re copy-pasting screenshots into slides, manually correlating trends across different retention windows. The raw data is there, but the synthesis step (the part where you turn metrics into narrative) doesn&amp;rsquo;t scale.&lt;/p></description></item><item><title>SOC 2 Type 1: Committed To Security &amp; Trust</title><link>https://www.netdata.cloud/blog/soc2-type1/</link><pubDate>Fri, 16 May 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/soc2-type1/</guid><description>&lt;p>We are pleased to announce that Netdata has successfully achieved SOC 2 Type 1 attestation!&lt;/p>
&lt;!--truncate-->
&lt;p>Following an independent examination performed by AssuranceLab CPAs LLC, the report confirms that—as of April 25, 2025—the design of Netdata’s controls meets the Security, Availability, and Confidentiality Trust Services Criteria defined by the AICPA.&lt;/p>
&lt;p>At Netdata, the security and integrity of the monitoring data our users entrust to us are paramount. This significant milestone, validated through a rigorous, independent third-party audit conducted by AssuranceLab, formally attests to the robustness of our security controls and practices as designed and implemented at a specific point in time.&lt;/p></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>20 Best DevOps, SRE &amp; Observability Conferences 2025</title><link>https://www.netdata.cloud/blog/20-devops-sre-observability-events-and-conferences-you-should-consider-in-2025/</link><pubDate>Wed, 04 Dec 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/20-devops-sre-observability-events-and-conferences-you-should-consider-in-2025/</guid><description>&lt;p>Every year, DevOps, SRE Sysadmin &amp;amp; IT leaders gather at conferences across the world to share not only knowledge but also the latest trends, tools, and strategies for achieving greater insight and control over complex systems. This guide brings you a comprehensive list of DevOps, SRE &amp;amp; observability events that can help you stay ahead in a rapidly evolving field. Whether you&amp;rsquo;re exploring the latest in tools, cloud observability, or AI-driven insights, this guide will lead you to the perfect event to expand your knowledge and network with industry leaders!&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>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>Understanding Monitoring Tools</title><link>https://www.netdata.cloud/blog/understanding-monitoring-tools/</link><pubDate>Wed, 10 Apr 2024 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/understanding-monitoring-tools/</guid><description>&lt;p>If you care about operational excellence when it comes to your IT infrastructure, the role of monitoring systems is pivotal. As we navigate through the myriad of available monitoring tools, it becomes essential to understand the distinct architectures, styles, and focal points of various monitoring solutions, as well as the time-to-value they offer. This blog post aims to demystify the landscape of monitoring systems, providing a comprehensive overview that categorizes these tools into four primary architectural design principles.&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>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>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>Introducing the Netdata Source Plugin for Grafana</title><link>https://www.netdata.cloud/blog/introducing-netdata-source-plugin-for-grafana/</link><pubDate>Fri, 07 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/introducing-netdata-source-plugin-for-grafana/</guid><description>&lt;p>&lt;img src="../wp-archive/uploads/2022/09/postgresql_dash-600x354.png" alt="sample-dashboard">&lt;/p>
&lt;p>The open-source community is about to benefit greatly from Netdata&amp;rsquo;s new Grafana data source plugin, which makes use of a powerful data collection engine.&lt;/p>
&lt;!--truncate-->
&lt;p>This new plugin maximizes the troubleshooting capabilities of Netdata in Grafana, making them more widely available. Some of the key capabilities provided to you with this plugin include the following:&lt;/p>
&lt;ul>
 	&lt;li>Real-time monitoring with single-second granularity.&lt;/li>
 	&lt;li>Installation and out-of-the-box integrations available in seconds from one line of code.&lt;/li>
 	&lt;li>2,000+ metrics from across your whole Infrastructure, with insightful metadata associated with them.&lt;/li>
 	&lt;li>Access to our fresh ML metrics (anomaly rates) - exposing our ML capabilities at the edge!&lt;/li>
&lt;/ul>
&lt;h2 id="why-did-we-decide-to-do-it">Why did we decide to do it?&lt;/h2>
&lt;p>We are huge fans of Open-Source culture. Open-source is deeply rooted in Netdata&amp;rsquo;s DNA. Because of this, at Netdata, we don’t really buy into the “single pane of glass” or “observability platform” buzzwords. The reality is that things are just more complicated than that in real life.&lt;/p></description></item><item><title>How to filter metrics by label?</title><link>https://www.netdata.cloud/blog/how-to-filter-metrics-by-label/</link><pubDate>Thu, 06 Oct 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/how-to-filter-metrics-by-label/</guid><description>&lt;p>It is sometimes easy to get lost in the mountain of metrics and infinite number of dimensions when working with an infrastructure monitoring tool. Being able to filter metrics by label and visualize only what is relevant to the current scope of monitoring &amp;amp;troubleshooting, becomes absolutely crucial to the success of SREs, Sysadmins and DevOps professionals.&lt;/p>
&lt;!--truncate-->
&lt;p>The Netdata &lt;a href="https://staging1--netdata-docusaurus.netlify.app/docs/getting-started/netdata-in-a-pane">chart label filtering feature&lt;/a> supports grouping by and filtering each chart based on labels (key/value pairs) applicable to the context and provides fine-grain capability on slicing the data / metrics.&lt;/p></description></item><item><title>The Netdata Way of Troubleshooting</title><link>https://www.netdata.cloud/blog/the-netdata-way-of-troubleshooting/</link><pubDate>Mon, 04 Apr 2022 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/the-netdata-way-of-troubleshooting/</guid><description>&lt;p>Together with you, our fabulous community, Netdata is changing the way the world thinks of high fidelity monitoring - and we are gaining momentum.&lt;/p>
&lt;p>Our chief troublemaker and CEO, Costa Tsaousis,  is the pioneer and architect of this revolution that’s brewing in the monitoring and troubleshooting space.&lt;/p>
&lt;p>Watch him explain the &lt;strong>Netdata way of troubleshooting&lt;/strong>:&lt;/p>
&lt;iframe width="560" height="315" src="https://www.youtube.com/embed/ExjwwrgXvPg?si=IrsEp9PqbFFWiegM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen>&lt;/iframe>
&lt;h2 id="why-did-the-world-need-a-new-infrastructure-monitoring-tool-0018">Why did the world need a new infrastructure monitoring tool? (00:18)&lt;/h2>
&lt;p>Every great hero needs an origin story. In this section, Costa explains the frustrating conditions in the infrastructure and monitoring space that lead to the conception, development, and subsequent success of the Netdata open-source Agent and Netdata Cloud.&lt;/p></description></item><item><title>All-new Netdata Cloud Charts 2.0</title><link>https://www.netdata.cloud/blog/all-new-netdata-cloud-charts-2-0/</link><pubDate>Tue, 30 Nov 2021 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/all-new-netdata-cloud-charts-2-0/</guid><description>&lt;!--truncate-->
&lt;figure class="wp-block-image size-large">&lt;img src="../wp-archive/uploads/2022/03/Netdata-Charts-2.0-1200x704.png" alt="" class="wp-image-16212"/>&lt;/figure>
&lt;p>Netdata excels in collecting, storing, and organizing metrics in out-of-the-box dashboards for powerful troubleshooting. We are now doubling down on this by transforming data into even more effective visualizations, helping you make the most sense out of all your metrics for increased observability.&lt;/p>
&lt;p>The new Netdata Charts provide a ton of useful information and we invite you to further explore our new charts from a design and development perspective. As always, it’s our goal to be as open and transparent as possible with our users on all things Netdata, including the ins and outs of how Netdata is built, why we make certain design decisions (driven by you of course!), and where we are heading as we continue to grow.&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>