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 / nginx / nginx-reload-not-applying-config

Operations Guides

NGINX reload not applying config: why old workers keep serving

You pushed a config change, ran nginx -s reload, and moved on. Hours later, the new certificate is not being served, the updated upstream is not receiving traffic, or the tightened rate limit never took effect. NGINX did not stop running, but the reload never applied. This is the silent rollback: when a reload fails validation, the master keeps the previous configuration active and old workers continue serving. Even when validation passes, old workers can remain alive for hours if long-lived connections prevent them from draining and worker_shutdown_timeout is not set. This guide shows how to confirm the failure, find the root cause, and prevent config drift from going undetected.

What this means

When you run nginx -s reload, the master validates the new configuration. If validation fails, the master rolls back silently and continues serving with the old configuration. There is no stdout error; a script that only checks the exit code misses the failure. The only evidence is an [emerg] line in the error log.

If validation succeeds, the master spawns new workers with the new configuration. Old workers stop accepting new connections but continue processing existing ones until they drain. Without worker_shutdown_timeout, old workers wait indefinitely for long-lived connections to close. During this window, both old and new workers coexist. If you reload frequently or connections never close, workers accumulate and consume memory and file descriptors while still bound to the old config.

flowchart TD
    A[Operator: nginx -s reload] --> B{Master tests config}
    B -->|Fail| C[Write [emerg] to error log]
    C --> D[Rollback: old config continues]
    B -->|Pass| E[Start new workers]
    E --> F[Old workers drain connections]
    F --> G{worker_shutdown_timeout?}
    G -->|Not set| H[Old workers wait forever]
    G -->|Set| I[Force close after timeout]
    H --> J[Old workers accumulate]
    I --> K[Old workers exit]

Common causes

CauseWhat it looks likeFirst thing to check
Config validation failure during reloadNew behavior is missing after reload; error log shows [emerg]nginx -t and /var/log/nginx/error.log for [emerg]
Long-lived connections blocking drainWorker count exceeds worker_processes for minutes or hours after reloadpgrep -a -P $(cat /var/run/nginx.pid) | grep -c 'nginx: worker' vs configured worker_processes
Missing worker_shutdown_timeoutOld workers persist indefinitely on WebSocket, gRPC, or SSE connectionsnginx -T 2>/dev/null | grep worker_shutdown_timeout
Rapid reload accumulationMemory and FD usage climb; dozens of worker processes visibleReload frequency in error log and total process count

Quick checks

# Validate configuration without applying it
nginx -t

# Count worker processes (excludes cache loader/manager)
pgrep -a -P $(cat /var/run/nginx.pid) | grep -c 'nginx: worker'

# Compare against configured worker_processes
nginx -T 2>/dev/null | grep -m1 'worker_processes'

# Check for recent reload failure evidence
tail -1000 /var/log/nginx/error.log | grep -E '\[emerg\]'

# Check for reload events in the error log
tail -1000 /var/log/nginx/error.log | grep 'reconfiguring'

# Verify worker_shutdown_timeout is configured
nginx -T 2>/dev/null | grep -m1 'worker_shutdown_timeout'

# Check file descriptor usage per worker (old workers hold FDs)
for pid in $(pgrep -a -P $(cat /var/run/nginx.pid) | grep 'nginx: worker' | awk '{print $1}'); do
  echo "Worker $pid: $(ls /proc/$pid/fd 2>/dev/null | wc -l) FDs"
done

How to diagnose it

  1. Run nginx -t before reloading. If it reports [emerg], fix the named file and line before proceeding. Do not rely on nginx -s reload to surface validation errors; the master validates asynchronously and logs failures to the error log.
  2. Execute nginx -s reload, then immediately tail the error log for [emerg] or configuration file .* test failed. A failed reload emits no stdout error.
  3. Count worker processes. If the count exceeds worker_processes, old workers are still alive.
  4. Identify old workers by PID. Newer workers usually have higher PIDs (Linux allocates sequentially, but PIDs can wrap). Compare FD counts across workers; old workers holding active connections show elevated FD usage in /proc/<pid>/fd.
  5. Check whether worker_shutdown_timeout is present in the configuration. Without it, NGINX waits indefinitely for connections to close.
  6. If old workers remain, determine what connections they hold. WebSocket, gRPC streaming, or SSE connections prevent graceful exit. Inspect /proc/<pid>/fd to confirm sockets are still open.
  7. Calculate reload frequency from the error log. If reloads occur more than once per minute, rapid accumulation is likely compounding the problem.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
Worker process count vs configuredOld workers accumulate when connections do not drainCount exceeds worker_processes for more than 60 seconds after reload
Error log [emerg] rateFailed reloads log [emerg] but do not stop NGINXAny [emerg] entry following a reload event
Reload frequencyEach reload spawns a new generation; rapid reloads multiply old workersMore than 1 reload per minute sustained
File descriptor usage per workerOld workers consume FDs while draining connectionsFD count remains high on specific worker PIDs long after reload
Active connectionsBrief elevation during reload is normal; persistent elevation is notActive connections stay high with low request throughput

Fixes

Fix the configuration error

If nginx -t fails, the [emerg] message names the file, line, and directive. Resolve the error, then reload. Verify with nginx -t after editing.

Force old workers to exit with worker_shutdown_timeout

Add worker_shutdown_timeout 120s; in the main context of nginx.conf. This sets a hard deadline for old workers to finish active connections. After the timeout expires, NGINX closes all remaining connections on the old workers and they exit. Tradeoff: legitimate long-lived connections (WebSocket, gRPC, SSE) are severed. Do not set this lower than your longest acceptable request duration without accepting that those requests will disconnect.

Reduce reload frequency

Batch configuration changes rather than reloading after each edit. In Kubernetes ingress environments, reduce object churn to avoid reload storms. Each reload has a cost: new worker spawn, connection draining delay, brief latency bump, and potential memory growth from overlapping generations.

Manually terminate stuck old workers

If memory or FD exhaustion is critical and old workers have been draining longer than your operational window allows, identify the old worker PIDs and terminate them with SIGKILL. Warning: this drops active connections on those workers immediately. This is a last resort when graceful cleanup is not possible.

Prevention

  • Always run nginx -t before nginx -s reload. Automation and deployment scripts should test first and abort on any [emerg].
  • Set worker_shutdown_timeout to an upper bound that matches your longest expected legitimate connection, but cap it to prevent infinite drift.
  • Monitor worker count against worker_processes. Any sustained excess after reload indicates stuck old workers.
  • Monitor error logs for [emerg] after every reload. Treat any post-reload [emerg] as a ticket-worthy event.
  • Batch dynamic configuration changes. In environments with frequent updates, rate-limit reloads.

How Netdata helps

Netdata surfaces the signals that reveal silent reload failures:

  • Worker process count: Compare running workers against the configured value. A sustained excess after reload flags stuck old workers.
  • Error log severity: Track [emerg] and [error] rates in real time. A spike immediately after a reload indicates a silent rollback.
  • Active connections: Correlates stub_status metrics to show whether connections are draining or accumulating after a reload.
  • File descriptor utilization: Per-worker FD usage reveals when old workers are still holding resources long after they should have exited.
  • Reload frequency: Custom log monitoring can count reconfiguring lines to detect reload storms from configuration management.
The Netdata solution

Web server monitoring with Netdata

Netdata monitors NGINX with per-second request, connection, and latency metrics plus ML anomaly detection. Correlate connection and file-descriptor exhaustion, upstream cascade failures, buffer spill, and TLS CPU with the host signals behind them.