|  By Vasileios Kalintiris
We’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 log show and powermetrics. The new collectors read this data through Apple’s own frameworks, allowing users to trace application and OS errors and catch hardware issues early.
  |  By Netdata Team
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.
Real Time Network Monitoring: Topology, NetFlow, SNMP
  |  By Shyam Sreevalsan
The “high cardinality is expensive” sentence has become observability’s version of “in this economy” — said so often that nobody questions whether it’s true. Every vendor pricing page invokes it. Every glossary article repeats it. Every architecture diagram shows aggregation buffers placed before the storage layer.
  |  By Shyam Sreevalsan
There’s a growing ecosystem of AI coding agents: Claude Code, Cursor, Copilot, Codex, Gemini CLI, Windsurf, and others. They’re good at writing code, but they don’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.
  |  By Netdata Team
OpenTelemetry has become the default way to instrument applications and ship telemetry. The hard part has never been the data model. It’s been picking a backend that handles OTLP without quietly turning into a per-metric bill or a black box that swallows your data. Netdata is a native OTLP backend.
  |  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 Netdata
Modern infrastructure doesn't only live in data centers anymore. It's in retail stores, factory floors, vehicles, cell sites, kiosks, and robots, thousands of nodes across hundreds of locations, connected over links you don't control, in places your team can't easily reach. Traditional observability wasn't built for this. Centralizing every metric from every device gets expensive fast, degrades over constrained links, and goes blind exactly when a remote node needs attention most. In this webinar, we'll show how Netdata inverts the model by putting intelligence at the edge.
  |  By Netdata
A look at Netdata's new NetFlow analyzer: see exactly what's flowing through your network, with no packet capture and no separate appliance.
  |  By Netdata
Netdata now builds live network topology maps directly in the agent: no scheduled scans, no stale picture the next morning. In this walkthrough, we cover both sides of the new Topology view: Network device discovery (SNMP): Container & process network connections.
  |  By Netdata
An alert tells you what changed. It rarely tells you why. That answer usually lives somewhere else: the pull request that shipped minutes earlier, the incident already open in PagerDuty, the runbook sitting in Confluence. Netdata AI can now reach those systems directly. Through the Model Context Protocol, it connects to the tools your team already runs and reads from them while it investigates. It pulls that context alongside the metrics, logs and anomalies Netdata detects on every node, then reasons across both.
  |  By Netdata
Netdata started as a lightweight agent you install across your systems to collect and visualize metrics in real time. In this clip, we walk through how that model evolved as OpenTelemetry became the industry standard, and why logs pushed that evolution even further.
  |  By Netdata
OTLP (the OpenTelemetry Protocol) gives telemetry data a common format, so it can travel from one system to another without extra massaging or remapping. In this clip, we break down how that standard applies to metrics and logs, and how that data can land directly in Netdata.
  |  By Netdata
Most teams run one tool for SNMP polling, another for topology, and a third for flow analysis, then spend their time stitching the views together. This webinar shows how Netdata brings all three into a single dashboard, with 100+ vendor profiles out of the box, automatic Layer 2 topology mapping, and a flow collector that auto-detects NetFlow, IPFIX, and sFlow on a single port.
  |  By Netdata
If you've standardized on OpenTelemetry (or you're heading that way), you probably know the collector gets your data out, but where it lands and how useful it is once it gets there are separate problems. Netdata now ingests both OTLP metrics and OTLP logs natively, so your OTel pipelines feed directly into the same monitoring experience as everything else in your infrastructure: same dashboards, same alerting, same query interface. No separate backends, no context switching.
  |  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.

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.