|  By Shyam Sreevalsan
When we shipped TV mode, we heard almost immediately: “Great, but I have five dashboards and one screen.” 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’re buying more screens. Dashboard playlists solve this.
  |  By Satyadeep Ashwathnarayana
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’t make financial sense, or regulatory constraints that require data to stay on-premises.
  |  By Shyam Sreevalsan
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, “the node in the Singapore POP” communicates faster than a hostname. When you’re planning capacity, seeing geographic clustering tells you something that a flat list of nodes doesn’t.
  |  By Shyam Sreevalsan
GPU infrastructure is expensive and increasingly central to production workloads. Whether you’re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what’s going wrong when performance degrades, is not optional.
  |  By Shyam Sreevalsan
Netdata ships with hundreds of stock alerts. They cover a wide range of infrastructure conditions and they’re designed with sensible defaults. But “sensible defaults” and “correct for your environment” are not the same thing. A CPU threshold that’s perfectly reasonable for a build server might generate constant noise on a machine running batch jobs.
  |  By Netdata Team
If you’re running infrastructure on Azure, you’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’re already watching in Netdata.
  |  By Shyam Sreevalsan
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’t tell you why. When your PostgreSQL response time spikes, the metric alone doesn’t tell you which query is responsible. For that, you’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.
  |  By Shyam Sreevalsan
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.
  |  By Netdata Team
If you’re running Netdata collectors that connect to databases, APIs, or other authenticated services, there’s a good chance you have passwords sitting in plain-text configuration files right now. It works, but it’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.
  |  By Shyam Sreevalsan
Alert fatigue usually isn’t caused by one thing. It’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. We’ve shipped three improvements to alerting in Netdata that address different parts of this problem.
  |  By Netdata
What’s New in Netdata v2.10 In this release, Netdata brings powerful new capabilities to help you monitor, troubleshoot, and understand your infrastructure faster without complexity. In this video, we walk through the key updates: Secrets Management – Securely manage sensitive configuration data Nagios Plugins Collector – Extend monitoring using existing Nagios plugins Azure Monitor – Bring Azure metrics into Netdata for unified visibility.
  |  By Netdata
See how Netdata's new Live Functions let you analyze slow queries, detect deadlocks, and monitor SNMP network interfaces directly from the Netdata dashboard, with a live demo.
  |  By Netdata
Netdata has shipped MCP servers on every Agent since v2.6.0. Now we're taking the next step: a cloud-hosted MCP endpoint that gives AI agents and assistants infrastructure-wide visibility through a single connection.
  |  By Netdata
What’s New in Netdata v2.9 In this video, we walk through the biggest updates in Netdata v2.9, including: Top Tab Database Functions to analyze slow queries and performance bottlenecks without logging into your database SNMP Network Interfaces Function for real-time visibility into network interfaces Microsoft SQL Server Collector with richer MSSQL metrics OpenTelemetry Logs Ingestion to correlate logs and metrics in one place.
  |  By Netdata
Network device monitoring is often a mess of polling, graphs, and alerts that don't lead to answers. In this webinar, we'll show how to monitor routers, switches, and firewalls in a way that quickly surfaces what matters: interface health, errors, drops, saturation, latency signals, and performance regressions—without drowning in noise. You'll learn how Netdata turns raw SNMP metrics into high-signal insights using automated anomaly detection and AI-assisted troubleshooting, so your team can move from 'something is wrong' to 'here's the root cause' faster.
  |  By Netdata
Avoid the most expensive hour of incident response. Learn how Netdata AI uses hybrid AIOps to detect, reason, and summarize incidents.
  |  By Netdata
In just a few minutes, this walkthrough will show you how to unlock the full power of Netdata during your trial period. From real-time metrics to AI-powered insights, learn how to get immediate value without any guesswork. Whether you're running a Homelab or managing production systems at scale, this video will help you hit the ground running and make every minute of your trial count. Let’s turn your trial into insight, clarity, and control.
  |  By Netdata
Netdata 2.6.0 is here and it’s our most intelligent release yet! This version brings AI-powered monitoring, easier network visibility, and smoother enterprise integrations, all designed to help you troubleshoot faster and scale smarter. What's New: Netdata Referral Program Every referred user will get a 10% discount when they subscribe to Netdata Business or Homelab - and you will receive 10% of their subscription value (up to a max of 1000$ per space). You can refer an unlimited number of users, so there's no real limit to how much you can earn with the referral program.
  |  By Netdata
New to Netdata? Start here. In this quick and practical guide, we’ll help you get set up and confident with Netdata in just a few minutes. You’ll learn how to: Access your Netdata Space Connect your nodes—servers, VMs, containers, network devices, and more Organize your infrastructure with Spaces and Rooms Collaborate with your team in real time Explore alerting and integrations Customize notifications so you’re only alerted when it truly matters.
  |  By Netdata
Subscribe to the channel → / @netdata Now in research preview: Netdata Insights The problem: Incident? You're jumping between dashboards, piecing together timelines. Reporting? You're copy-pasting charts and correlating trends by hand. The data’s there, but turning it into a narrative doesn’t scale. The solution: Netdata Insights. Synthesizes high-fidelity telemetry using the latest LLMs into AI-powered reports with natural-language explanations, visuals, and clear recommendations.

netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.

netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.