The only agent that thinks for itself

Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.

Unlimited Metrics & Logs
Machine learning & MCP
5% CPU, 150MB RAM
3GB disk, >1 year retention
800+ integrations, zero config
Dashboards, alerts out of the box
> Discover Netdata Agents

Centralized metrics streaming and storage

Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.

Stream from unlimited agents
Long-term data retention
High availability clustering
Data replication & backup
Scalable architecture
Enterprise-grade security
> Learn about Parents

Fully managed cloud platform

Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.

Zero infrastructure management
99.9% uptime SLA
Global data centers
Automatic updates & patches
Enterprise SSO & RBAC
SOC2 & ISO certified
> Explore Netdata Cloud

Deploy Netdata Cloud in your infrastructure

Run the full Netdata Cloud platform on-premises for complete data sovereignty and compliance with your security policies.

Complete data sovereignty
Air-gapped deployment
Custom compliance controls
Private network integration
Dedicated support team
Kubernetes & Docker support
> Learn about Cloud On-Premises

Powerful, intuitive monitoring interface

Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.

Real-time chart updates
Customizable dashboards
Dark & light themes
Advanced filtering & search
Responsive on all devices
Collaboration features
> Explore Netdata UI

Monitor on the go

Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.

iOS & Android apps
Push notifications
Touch-optimized interface
Offline data access
Biometric authentication
Widget support
> Download apps

The future of infrastructure observability

See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.

AI-native observability
Full-stack signal coverage
Operational intelligence
Enterprise platform maturity
Agent releases every 6 weeks
Cloud continuous delivery
> Explore Product Roadmap

Best energy efficiency

True real-time per-second

100% automated zero config

Centralized observability

Multi-year retention

High availability built-in

Zero maintenance

Always up-to-date

Enterprise security

Complete data control

Air-gap ready

Compliance certified

Millisecond responsiveness

Infinite zoom & pan

Works on any device

Native performance

Instant alerts

Monitor anywhere

AI-native observability

Continuous delivery

Open source foundation

80% Faster Incident Resolution

AI-powered troubleshooting from detection, to root cause and blast radius identification, to reporting.

True Real-Time and Simple, even at Scale

Linearly and infinitely scalable full-stack observability, that can be deployed even mid-crisis.

90% Cost Reduction, Full Fidelity

Instead of centralizing the data, Netdata distributes the code, eliminating pipelines and complexity.

See and Map Your Entire Network

Live topology, flow analytics, and SNMP device and trap monitoring — unified with your full-stack observability.

Control Without Surrender

SOC 2 Type 2 certified with every metric kept on your infrastructure.

Integrations

800+ collectors and notification channels, auto-discovered and ready out of the box.

800+ data collectors
Auto-discovery & zero config
Cloud, infra, app protocols
Notifications out of the box
> Explore integrations
Real Results
46% Cost Reduction

Reduced monitoring costs by 46% while cutting staff overhead by 67%.

— Leonardo Antunez, Codyas

Zero Pipeline

No data shipping. No central storage costs. Query at the edge.

From Our Users
"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

No Query Language

Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.

Enterprise Ready
67% Less Staff, 46% Cost Cut

Enterprise efficiency without enterprise complexity—real ROI from day one.

— Leonardo Antunez, Codyas

SOC 2 Type 2 Certified

Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.

Full Coverage
800+ Collectors

Auto-discovered and configured. No manual setup required.

Any Notification Channel

Slack, PagerDuty, Teams, email, webhooks—all built-in.

Built for the People Who Get Paged

Because 3am alerts deserve instant answers, not hour-long hunts.

Every Industry Has Rules. We Master Them.

See how healthcare, finance, and government teams cut monitoring costs 90% while staying audit-ready.

Monitor Any Technology. Configure Nothing.

Install the agent. It already knows your stack.
From Our Users
"A Rare Unicorn"

Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.

— Eduard Porquet Mateu, TMB Barcelona

99% Downtime Reduction

Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.

— Falkland Islands Government

Real Savings
30% Cloud Cost Reduction

Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.

— Falkland Islands Government

46% Cost Cut

Reduced monitoring staff by 67% while cutting operational costs by 46%.

— Codyas

Real Coverage
"Plugin for Everything"

Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.

— Eduard Porquet Mateu, TMB Barcelona

"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

Real Speed
Troubleshooting in 30 Seconds

From 2-3 minutes to 30 seconds—instant visibility into any node issue.

— Matthew Artist, Nodecraft

20% Downtime Reduction

20% less downtime and 40% budget optimization from out-of-the-box monitoring.

— Simon Beginn, LANCOM Systems

Pay per Node. Unlimited Everything Else.

One price per node. Unlimited metrics, logs, users, and retention. No per-GB surprises.

Free tier—forever
No metric limits or caps
Retention you control
Cancel anytime
> See pricing plans

What's Your Monitoring Really Costing You?

Most teams overpay by 40-60%. Let's find out why.

Expose hidden metric charges
Calculate tool consolidation
Customers report 30-67% savings
Results in under 60 seconds
> See what you're really paying

Your Infrastructure Is Unique. Let's Talk.

Because monitoring 10 nodes is different from monitoring 10,000.

On-prem & air-gapped deployment
Volume pricing & agreements
Architecture review for your scale
Compliance & security support
> Start a conversation

Monitoring That Sells Itself

Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.

30-second live demos close deals
Zero config = zero support burden
Competitive margins & deal protection
Response in 48 hours
> Apply to partner

Per-Second Metrics at Homelab Prices

Same engine, same dashboards, same ML. Just priced for tinkerers.

Community: Free forever · 5 nodes · non-commercial
Homelab: $90/yr · unlimited nodes · fair usage
> Get the Homelab Plan

$1,000 Per Referral. Unlimited Referrals.

Your colleagues get 10% off. You get 10% commission. Everyone wins.

10% of subscriptions, up to $1,000 each
Track earnings inside Netdata Cloud
PayPal/Venmo payouts in 3-4 weeks
No caps, no complexity
> Get your referral link
Cost Proof
40% Budget Optimization

"Netdata's significant positive impact" — LANCOM Systems

Calculate Your Savings

Compare vs Datadog, Grafana, Dynatrace

Savings Proof
46% Cost Reduction

"Cut costs by 46%, staff by 67%" — Codyas

30% Cloud Bill Savings

"Reduced cloud bill by 30%" — Falkland Islands Gov

Enterprise Proof
"Better Than Combined Alternatives"

"Better observability with Netdata than combining other tools." — TMB Barcelona

Real Engineers, <24h Response

DPA, SLAs, on-prem, volume pricing

Why Partners Win
Demo Live Infrastructure

One command, 30 seconds, real data—no sandbox needed

Zero Tickets, High Margins

Auto-config + per-node pricing = predictable profit

Homelab Ready
Free Video Course

8-episode Netdata tutorial by LearnLinux.tv

76k+ GitHub Stars

3rd most starred monitoring project

Worth Recommending
Product That Delivers

Customers report 40-67% cost cuts, 99% downtime reduction

Zero Risk to Your Rep

Free tier lets them try before they buy

AI Support Assistant, Available 24/7

Nedi has access to all official documentation, source code, and resources. Ask any question about Netdata—responds in your language.

Deployment & configuration
Troubleshooting & sizing
Alerts & notifications
Evidence-based answers
> Ask Nedi now

Never Fight Fires Alone

Docs, community, and expert help—pick your path to resolution.

Learn.netdata.cloud docs
Discord, Forums, GitHub
Premium support available
> Get answers now

60 Seconds to First Dashboard

One command to install. Zero config. 850+ integrations documented.

Linux, Windows, K8s, Docker
Auto-discovers your stack
> Read our documentation

76,000+ Engineers Strong

615+ contributors. 1.5M daily downloads. One mission: simplify observability.

Per-Second. 90% Cheaper. Data Stays Home.

Side-by-side comparisons: costs, real-time granularity, and data sovereignty for every major tool.

See why teams switch from Datadog, Prometheus, Grafana, and more.

> Browse all comparisons
Edge-Native Observability, Born Open Source
Per-second visibility, ML on every metric, and data that never leaves your infrastructure.
Founded in 2016
615+ contributors worldwide
Remote-first, engineering-driven
Open source first
> Read our story
Promises We Publish—and Prove
12 principles backed by open code, independent validation, and measurable outcomes.
Open source, peer-reviewed
Zero config, instant value
Data sovereignty by design
Aligned pricing, no surprises
> See all 12 principles
Edge-Native, AI-Ready, 100% Open
76k+ stars. Full ML, AI, and automation—GPLv3+, not premium add-ons.
76,000+ GitHub stars
GPLv3+ licensed forever
ML on every metric, included
Zero vendor lock-in
> Explore our open source
Build Real-Time Observability for the World
Remote-first team shipping per-second monitoring with ML on every metric.
Remote-first, fully distributed
Open source (76k+ stars)
Challenging technical problems
Your code on millions of systems
> See open roles
Meet the Team Behind Netdata
Conferences, meetups, and tradeshows where you can see Netdata in action and talk to the engineers who build it.
Live demos and deep dives
Book 1-on-1 meetings
Talks and panel sessions
Event recaps and photos
> See all events
Talk to a Netdata Human in <24 Hours
Sales, partnerships, press, or professional services—real engineers, fast answers.
Discuss your observability needs
Pricing and volume discounts
Partnership opportunities
Media and press inquiries
> Book a conversation
Your Data. Your Rules.
On-prem data, cloud control plane, transparent terms.
Trust & Scale
76,000+ GitHub Stars

One of the most popular open-source monitoring projects

SOC 2 Type 2 Certified

Enterprise-grade security and compliance

Data Sovereignty

Your metrics stay on your infrastructure

Validated
University of Amsterdam

"Most energy-efficient monitoring solution" — ICSOC 2023, peer-reviewed

ADASTEC (Autonomous Driving)

"Doesn't miss alerts—mission-critical trust for safety software"

Community Stats
615+ Contributors

Global community improving monitoring for everyone

1.5M+ Downloads/Day

Trusted by teams worldwide

GPLv3+ Licensed

Free forever, fully open source agent

Why Join?
Remote-First

Work from anywhere, async-friendly culture

Impact at Scale

Your work helps millions of systems

$ guides / coredns / coredns-panics-recovered ▌

Operations Guides

CoreDNS panics: recovered handler crashes and coredns_panics_total

You found coredns_panics_total above zero, or you saw Recovered from panic in the CoreDNS logs. The pods are not restarting, the health endpoint returns 200, and most DNS queries still resolve. That combination is what makes this failure mode easy to ignore and dangerous to dismiss.

A recovered panic means a query handler crashed inside the plugin chain and CoreDNS’s recovery wrapper caught it, keeping the process alive. The server survived. The query that triggered the panic fails: the recovery path writes a SERVFAIL reply to the client instead of dropping the query. Every increment of the counter is a real query that failed, plus evidence of a genuine bug in CoreDNS or one of its plugins.

Unlike most CoreDNS signals, this one has no acceptable baseline. Any nonzero rate of coredns_panics_total in production is a defect. The question is never “is this serious enough,” it is “which code path is crashing, on which input, and is it fixed in a newer version.”

What this means

CoreDNS handles each DNS query in its own goroutine, running it synchronously through the plugin chain defined in the Corefile. A recovery handler sits around that per-request execution. If a plugin panics while processing a query, for example a nil pointer dereference on unexpected input or a data race, the recovery handler catches it, increments coredns_panics_total, logs the panic, and lets the process continue serving other queries.

Two details follow:

The triggering query fails with SERVFAIL. The recovery path writes a SERVFAIL reply, so the client’s resolver treats the answer as a hard failure instead of waiting out a timeout. If panics are intermittent and tied to a specific query pattern, you see a trickle of SERVFAILs for one name or client that never rises to a visible outage. Services look flaky; CoreDNS looks fine.

Only per-request panics are recovered. A panic in a background goroutine, such as the kubernetes plugin’s API watch handler or the forward plugin’s health checker, is not caught. It crashes the entire process, does not increment this counter, and shows up as a pod restart instead. So coredns_panics_total at zero does not mean no panics; it means no recovered panics. Check restart counts alongside it.

The metric is a counter with no labels and, unusually, no dns subsystem. It is coredns_panics_total, not coredns_dns_panics_total. Queries or alerts written against the wrong name silently match nothing.

flowchart TD
  Q[Incoming DNS query] --> PC[Plugin chain execution]
  PC -->|panic in query handler| R[Recovery wrapper]
  R --> M[Increment coredns_panics_total]
  R --> L[Log recovered panic]
  R --> F[Client receives SERVFAIL]
  PC -->|panic in background goroutine| C[Process crash]
  C --> RS[Pod restart, counter NOT incremented]
  PC -->|normal path| OK[Response sent]

Common causes

CauseWhat it looks likeFirst thing to check
Known bug in your CoreDNS versionPanics start after an upgrade, or have existed since deployment; error string matches a fixed issueCompare the running version against release notes for panic fixes
Plugin bug on specific inputIntermittent panics, no visible DNS outage, a few per minute or hourPanic value and stack trace in logs; which plugins are in your Corefile
Malformed or unusual query patternsPanics correlate with specific query types (AXFR, unusual EDNS0 options, headless services without ports)Query logs around panic timestamps; query type distribution
Race condition under loadPanics appear only during traffic spikes or rolloutsCorrelation between panic timestamps and QPS or deployment events
Panics outside the recovery pathPods restarting with panic in logs, but coredns_panics_total is zeroPod restart count and previous-container logs

A useful calibration from the field: operators have reported Recovered from panic log lines every few seconds with no visible DNS resolution failure at all. The affected queries were a tiny fraction of traffic, so nothing paged, but a specific client or query shape was silently failing the whole time. Treat a low, steady panic rate as a bug to fix, not noise to tolerate.

Quick checks

All of these are read-only.

# Current panic count (note: no dns subsystem in the metric name)
curl -s http://localhost:9153/metrics | grep '^coredns_panics_total'

# Find recovered panics in logs (Kubernetes)
kubectl logs -n kube-system -l k8s-app=kube-dns --tail=5000 | grep -i "recovered from panic"

# Check previous container logs for unrecovered panics that killed the process
kubectl logs -n kube-system -l k8s-app=kube-dns --previous | tail -50

# Pod restart counts: background-goroutine panics bypass the recovery handler
kubectl get pods -n kube-system -l k8s-app=kube-dns

# Running CoreDNS version
kubectl get pods -n kube-system -l k8s-app=kube-dns -o jsonpath='{.items[*].spec.containers[*].image}'

# SERVFAIL rate alongside panics (panicked queries may surface here or as client timeouts)
curl -s http://localhost:9153/metrics | grep 'coredns_dns_responses_total' | grep 'SERVFAIL'

# Query type distribution: is an unusual type (AXFR, ANY) present near panics?
curl -s http://localhost:9153/metrics | grep '^coredns_dns_requests_total' | grep -oE 'type="[^"]+"' | sort | uniq -c

How to diagnose it

  1. Confirm the rate, not just the value. The counter is cumulative for the process lifetime. A value of 3 that has not moved in a week is a historical artifact; a value climbing steadily is an active bug. Sample it twice a few minutes apart, or check your monitoring system’s rate over the last 24 hours.

  2. Get the panic value from the logs. The log line contains the panic reason, typically a nil pointer dereference or an index out of range. That string is your search key. If your Corefile loads the errors plugin with the stacktrace option, you also get a full stack trace naming the exact plugin and code path. If you do not have stack traces and panics are recurring, adding stacktrace to the errors plugin is a low-risk way to get them; it changes logging, not serving behavior.

  3. Map the stack trace or panic value to a plugin. With a stack trace this is direct: the frames name the plugin. Without one, work from your Corefile. List every plugin in the affected server block, including any third-party or out-of-tree plugins, which are common panic sources and do not get the same scrutiny as the core set.

  4. Check the version against known panic fixes. Panics are frequently fixed in patch and minor releases, and release notes call them out explicitly. Past examples include a nil-pointer panic in rewrite plugin EDNS0 handling (CVE-2026-62299, fixed in 1.14.5), a transfer plugin panic on an empty DNS record batch reached through k8s_external AXFR of a headless service with no declared ports (CVE-2026-62994, fixed in 1.14.5), and kubernetes plugin panics on headless/endpoint queries when endpoints are disabled (fixed in 1.11.0). If your version predates the fix for the code path in your stack trace, you have your answer.

  5. Correlate panics with query patterns. Panics are usually triggered by specific input, not random chance. Align panic timestamps with query logs (if the log plugin is enabled), the query type distribution, and deployment events. A panic that fires only when a particular client runs, or only during a specific batch job, points at the triggering input.

  6. Check what clients actually experienced. A recovered panic loses one query, and the recovery path replies with SERVFAIL (unchanged behavior since at least CoreDNS 1.6.x), so the client does not wait out a timeout. Correlate the panic rate with your SERVFAIL ratio and with client-side DNS failure reports to size the real blast radius.

  7. Rule out unrecovered panics. If restart counts are climbing but coredns_panics_total is flat, the crash is in a background goroutine. The previous-container logs will show the panic and the goroutine that died.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
coredns_panics_totalThe recovered-panic counter itselfAny nonzero rate of change
Pod restart countCatches panics outside the recovery pathAny increment; check --previous logs
coredns_dns_responses_total{rcode="SERVFAIL"}Panicked queries may surface as SERVFAIL; also the general failure signalSERVFAIL rate moving in step with panic increments
coredns_dns_requests_total by typeIdentifies unusual query types that may be the triggerAXFR, ANY, or other atypical types appearing near panic times
go_goroutinesBackground-goroutine crashes and panic-adjacent instability often coincide with concurrency anomaliesGrowth decoupled from QPS
CoreDNS version (as a label or annotation)Panics are version-specific bugsRunning a version older than the fix for your panic

Fixes

Upgrade CoreDNS

If the stack trace or panic value matches a fixed issue, upgrading is the fix. This is the most common resolution: recovered panics are almost always defects that the project patches, and the release notes call them out. Check plugin fixes as well as core fixes, since the panic usually lives in a plugin. After upgrading, watch coredns_panics_total for 24-48 hours to confirm the specific panic is gone.

Remove or reconfigure the triggering plugin path

If the panic lives in a feature you do not strictly need, disabling it stops the crashes while you wait for a fix. Examples: if a transfer-plugin panic is triggered by AXFR requests and you never intended to serve zone transfers, remove the transfer plugin and AXFR clients get refused instead of crashing a handler. If a rewrite rule is on the crashing path, restructure the rule. The tradeoff is losing that functionality, so confirm nothing depends on it first.

Filter the triggering input as a stopgap

When a specific query pattern triggers the panic, for example AXFR requests from arbitrary clients or malformed packets from a scanner, blocking that traffic upstream (network policy, firewall) stops the panics without touching CoreDNS. This treats the symptom, not the bug. The code path is still broken; the next unexpected input may find it again. Use this to buy time for an upgrade, not as a permanent posture.

Do not use the debug plugin as a diagnostic shortcut in production

The debug plugin disables panic recovery entirely so CoreDNS crashes with a full stack trace instead of recovering. That is useful in a lab to capture a definitive trace, but in production it converts a per-query failure into a full process crash on every occurrence, and the errors plugin (if loaded) recovers panics itself, negating the effect of debug. Prefer the errors plugin’s stacktrace option, which keeps recovery intact.

Restarting is not a fix

Because the process survives recovered panics, restarting pods does nothing except reset the counter and lose your evidence. Extract the logs and stack traces first.

Prevention

  • Alert on any nonzero rate of coredns_panics_total. This is one of the few metrics where zero is the only acceptable value. A rate-based alert (rate(coredns_panics_total[5m]) > 0) catches intermittent panics that a threshold would miss.
  • Pair it with a restart-count alert. Together they cover both recovered and unrecovered panics.
  • Load the errors plugin with stacktrace if your panic volume justifies it, so the first occurrence captures the evidence you need instead of the tenth.
  • Watch the counter after every upgrade for 24-48 hours. Version changes are when new panic-inducing code paths get exercised.
  • Track your version against release notes for panic and CVE fixes, and treat “fixed a panic in plugin X” as upgrade motivation proportional to whether you run plugin X.

How Netdata helps

  • Per-second coredns_panics_total rate, so intermittent panics that a five-minute average would smooth into invisibility show up as discrete events you can align with logs.
  • Correlation with SERVFAIL responses on the same timeline, letting you see whether panicked queries are surfacing as SERVFAIL, and how the client-visible error rate tracks the panic rate.
  • Pod restart and container-state signals alongside the counter, so unrecovered panics (which never increment the metric) are visible in the same view as recovered ones.
  • Query type distribution from coredns_dns_requests_total, helping you spot an unusual query type appearing in the same window as panic increments.
  • Go runtime context (goroutines, GC, heap) for distinguishing a per-request handler bug from broader process instability.