<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DevOps on Netdata</title><link>https://www.netdata.cloud/tags/devops/</link><description>Recent content in DevOps 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/devops/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>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>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>Secrets Management: Remove Credentials From Configs</title><link>https://www.netdata.cloud/blog/secrets-management/</link><pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/secrets-management/</guid><description>&lt;p>If you&amp;rsquo;re running Netdata collectors that connect to databases, APIs, or other authenticated services, there&amp;rsquo;s a good chance you have passwords sitting in plain-text configuration files right now. It works, but it&amp;rsquo;s the kind of thing that makes security teams nervous and makes credential rotation painful. Every password change means editing config files and restarting collectors.&lt;/p>
&lt;p>Netdata now supports secrets management natively. Instead of putting credentials directly in your collector configurations, you reference them using a resolver syntax, and Netdata resolves the actual values at runtime from whatever source you choose: environment variables, files on disk, the output of a command, or a centralized secret store like HashiCorp Vault or AWS Secrets Manager.&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>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>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>Application Performance Monitoring Software</title><link>https://www.netdata.cloud/solutions/use-cases/application-performance/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/application-performance/</guid><description>Netdata revolutionizes application performance monitoring with distributed edge intelligence, zero-configuration deployment, and AI-powered troubleshooting that delivers enterprise-grade observability at a fraction of traditional APM 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>Kubernetes Monitoring Tool Without Centralized Data</title><link>https://www.netdata.cloud/solutions/technologies/kubernetes-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/technologies/kubernetes-monitoring/</guid><description>Transform Kubernetes observability with Netdata&amp;rsquo;s edge-native architecture. Get per-second visibility, ML anomaly detection on every metric, and AI-powered root cause analysis - all at 90% lower cost than traditional solutions.</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 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 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 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 N-able: Real-Time Monitoring Comparison</title><link>https://www.netdata.cloud/comparisons/nable/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/nable/</guid><description>Netdata provides per-second infrastructure monitoring with ML-based anomaly detection and AI troubleshooting - capabilities N-able&amp;rsquo;s 5-10 minute intervals and basic dashboards can&amp;rsquo;t match. See how Netdata solves the monitoring gaps N-able customers experience daily.</description></item><item><title>Netdata vs New Relic | Monitoring Tools Comparison</title><link>https://www.netdata.cloud/comparisons/newrelic/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/comparisons/newrelic/</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 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 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 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>Real-Time Infrastructure Monitoring For Tech Industry</title><link>https://www.netdata.cloud/solutions/industries/technology/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/industries/technology/</guid><description>Netdata delivers per-second observability for technology infrastructure with ML-based anomaly detection, zero-configuration deployment, and predictable per-node pricing - solving the cost, complexity, and visibility challenges facing modern tech teams.</description></item><item><title>Real-Time Observability For 24/7 Operations</title><link>https://www.netdata.cloud/solutions/use-cases/continuous-operations/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/continuous-operations/</guid><description>Real-time observability built for continuous operations. Per-second metrics, ML anomaly detection, and AI root cause analysis keep your infrastructure running around the clock.</description></item><item><title>Team Collaboration With Real-Time Observability</title><link>https://www.netdata.cloud/features/enterprise/team-collaboration/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/features/enterprise/team-collaboration/</guid><description>Unite teams with real-time visibility, intelligent collaboration features, and enterprise-grade access control - all while maintaining data sovereignty and predictable costs.</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>Web Server Monitoring Software For Complete Visibility</title><link>https://www.netdata.cloud/solutions/use-cases/webserver-monitoring/</link><pubDate>Thu, 18 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/solutions/use-cases/webserver-monitoring/</guid><description>Transform web server monitoring with Netdata&amp;rsquo;s edge-native platform. Get per-second metrics, automated root cause analysis, and complete infrastructure visibility without complex setup or unpredictable costs.</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>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>
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&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>
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&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 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>
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&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>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>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>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>Exploring systemd journal logs with Netdata</title><link>https://www.netdata.cloud/blog/exploring-systemd-journal-logs/</link><pubDate>Thu, 12 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/exploring-systemd-journal-logs/</guid><description>&lt;p>Today, we released our &lt;code>systemd&lt;/code> &lt;strong>journal plugin for Netdata&lt;/strong>, allowing you to explore, view, search, filter and analyze &lt;code>systemd&lt;/code> journal logs.&lt;/p>
&lt;p>Like most things about Netdata, this is a &lt;strong>zero-configuration plugin&lt;/strong>. You don’t have to do anything apart from &lt;strong>installing Netdata&lt;/strong> on your systems.This is key design direction for Netdata, since we want Netdata to be able to help even if you install it mid-crisis, while you have an incident at hand.&lt;/p></description></item><item><title>systemd journal logs</title><link>https://www.netdata.cloud/blog/systemd-journal-logs/</link><pubDate>Mon, 09 Oct 2023 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/systemd-journal-logs/</guid><description>&lt;p>&lt;em>“Why bother with it? I let it run in the background and focus on more important DevOps work.”&lt;/em>
— a random DevOps Engineer at Reddit r/devops&lt;/p>
&lt;p>In an era where technology is evolving at breakneck speeds, it&amp;rsquo;s easy to overlook the tools that are right under our noses. One such underutilized powerhouse is the &lt;strong>&lt;code>systemd&lt;/code> journal&lt;/strong>. For many, it&amp;rsquo;s a mere tool to check the status of systemd service units or to tail the most recent events (journalctl -f). Others who do mainly container work, ignore even its existence.&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>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>
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&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>5 DevOps best practices to reinforce with monitoring tools</title><link>https://www.netdata.cloud/blog/devops-best-practices-monitoring-tools/</link><pubDate>Thu, 18 Feb 2021 00:00:00 +0000</pubDate><guid>https://www.netdata.cloud/blog/devops-best-practices-monitoring-tools/</guid><description>&lt;!--truncate-->
&lt;img class="alignnone size-medium wp-image-16441" src="../wp-archive/uploads/2022/03/devops-best-practices-monitoring-tools-v2-600x414.png" alt="" width="600" height="414" />
&lt;p>As part of a modern software development team, you’re asked to do a lot. You’re supposed to build faster, release more frequently, crush bugs, and integrate testing suites along the way. You’re supposed to implement and practice a strong DevOps culture, &lt;a href="https://github.com/upgundecha/howtheysre" target="_blank" rel="noopener noreferrer">read entire novels&lt;/a> about SRE best practices, go &lt;a href="https://en.wikipedia.org/wiki/Agile_software_development" target="_blank" rel="noopener noreferrer">agile&lt;/a>, or add a bunch of Scrum ceremonies to everyone’s calendar. Every week, the industry recommends that you “&lt;a href="https://devops.com/devops-shift-left-avoid-failure/" target="_blank" rel="noopener noreferrer">shift-left&lt;/a>” another part of the &lt;a href="https://staging-www.netdata.cloud/blog/agile-static-analysis/" target="_blank" rel="noopener noreferrer">DevOps pipeline&lt;/a>, to the point where you’re supposed to handle everything from unit testing to production deployment optimization from day one.&lt;/p></description></item></channel></rss>