Latest AI and tech news
Netdata AI sees everything your infrastructure does: every metric, every anomaly, every alert. It does not see what your infrastructure is: which services matter, which host is supposed to run hot, who owns what, what your team considers normal. With...
A chart shows you that CPU jumped at 15:57. It doesn’t show you that a deploy went out at 15:56. Chart annotations let you pin a note to the exact moment on a chart, and it stays there for everyone in your Space, permanently, the next time anyone loo...
Netdata AI can now connect outward to the tools your team already runs, like GitHub, PagerDuty, Atlassian, or any custom MCP server, and read from them during an investigation. We call this MCP Connections. It’s the missing piece in the middle of eve...
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 ru...
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....
Interface counters tell you a port is busy. Bytes in, bytes out, errors, drops. That’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 yo...
As organizations modernize their infrastructure and embrace cloud-native architectures, traditional monitoring solutions are showing their age. SolarWinds, while a long-established player in IT management, was designed for an era of static, on-premis...
If you’re a SolarWinds customer facing renewal, you’ve likely noticed significant changes to pricing and licensing terms in 2024-2025. You’re not alone. At Netdata, we’ve been speaking with dozens of SolarWinds customers who are reassessing their mon...
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 d...
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 i...
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 swal...
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 healt...
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 ...
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 fa...
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...
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 p...
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 m...
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 al...
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 sc...
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 secur...
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 req...
One of the most common requests we’ve gotten since launching custom dashboards is deceptively simple: “How do I put this on a TV?” Teams want their dashboards on wall-mounted screens in NOCs, war rooms, and open office spaces. The dashboard is alread...
Custom dashboards in Netdata have always let you pull charts together on-the-fly into a single view. That’s useful, but it’s also limited. In practice, when you’re running an incident or reviewing a service, you don’t just want charts. You want to se...
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 ano...
Netdata AI can already troubleshoot your alerts and generate Insights reports. What it couldn’t do, until now, was have a back-and-forth conversation. You could get a one-shot analysis, but you couldn’t ask follow-up questions, pull in additional con...
When you’re managing a handful of nodes, the flat list in the nodes tab works fine. When you’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 Netdata Cloud MCP Server is now available — giving AI agents and assistants direct access to your Netdata through a single endpoint at app.netdata.cloud/api/v1/mcp....
The Netdata team will be at the Howard Conference and Expo “Game On” event, February 24-26, 2026 at the Grand Hotel Marriott Resort in Fairhope, Alabama. We’re looking forward to meeting IT leaders and practitioners to talk about real-time observabil...
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....
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. U...
Over the past few months, we’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....
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 hea...
“Monitor everything is universally recognized as an anti-pattern.”
“You’ll drown in metrics, burn out your engineers, and blow your budget.”
“Just focus on 3–10 signals — the Four Golden Signals, RED, USE — and ignore everything else.”
“Trust us, you...
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, strugg...
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’s exactly what happens. You see the alert in your monitoring tool, then you have to switch contexts, op...
We’re excited to share that Netdata has successfully achieved SOC 2 Type 2 attestation....
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 p...
Since launching our AI investigations and insights in a research preview, one thing has become clear: automated root cause analysis delivers a significant return on investment. Teams have confirmed that instant insights don’t just save a few minutes;...
How many times has your team stared at a dashboard, pointed to a spike, and asked a question that charts alone can’t answer? “What was the real impact of that deployment?” “Why are our Kubernetes pods in the us-east-1 cluster suddenly crashing?” “Are...
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 downtim...
Update (February 2026): Netdata now also provides MCP via Netdata Cloud at app.netdata.cloud/api/v1/mcp for infrastructure-wide access (Business/Homelab plan). See MCP documentation for details....
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 teamma...