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-worker-rlimit-nofile

Operations Guides

NGINX worker_rlimit_nofile: setting file descriptor limits correctly

nginx file descriptor exhaustion is a silent failure mode. Existing connections continue to be served, but new connections queue in the kernel backlog and are eventually dropped. The client sees a timeout, while nginx error logs may show nothing until the limit is hit.

worker_rlimit_nofile raises the per-worker file descriptor limit above conservative operating system defaults. It does not operate in isolation. It sits inside a layered stack of kernel parameters, systemd service limits, container runtime defaults, and PAM session policies. A value written into nginx.conf is only effective if the master process inherits a hard limit at least as high, and the kernel ceiling permits it. If any layer caps the limit below your intended value, workers inherit that lower ceiling and your tuning is silently ignored.

What this controls

The worker_rlimit_nofile directive sets the soft and hard RLIMIT_NOFILE for each nginx worker via setrlimit(). It is defined in the main context of nginx.conf and accepts a single integer. There is no default; if omitted, workers inherit the master’s limit.

The limit is applied after the master forks a worker, so the master process itself is unaffected. The master retains the limit it inherited from systemd, the shell, or the container runtime. Workers can raise their soft limit up to the inherited hard limit, but they cannot exceed the kernel ceiling defined by fs.nr_open.

If the inherited hard limit is higher than worker_rlimit_nofile, nginx attempts to lower the worker hard limit to the directive value. This requires CAP_SYS_RESOURCE; without it, setrlimit() fails with an alert in the error log, and the worker retains the higher inherited limit. In practice, the effective limit is the greater of the directive and the inherited floor, capped by fs.nr_open.

File descriptors are cheap. In production, set the directive generously. A value of 65536 is a safe default for most servers.

flowchart TD
    kernel[kernel fs.nr_open] --> runtime[systemd or container runtime]
    runtime --> master[nginx master inherits]
    master --> worker[worker_rlimit_nofile setrlimit]
    worker --> pool[client connections upstream connections logs temp files]

Prerequisites

Before changing limits, inspect the current ceiling at every layer.

# Kernel absolute ceiling per process
cat /proc/sys/fs/nr_open

# System-wide open file ceiling
cat /proc/sys/fs/file-max

# Maximum connections per worker
nginx -T 2>/dev/null | grep -m1 'worker_connections'

# systemd limit for the nginx service
systemctl show nginx -p LimitNOFILE 2>/dev/null || echo 'nginx service not found'

# Shell limit (relevant only for manual nginx launches)
ulimit -n

If the kernel ceiling is below your target, raise it via sysctl:

sudo sysctl -w fs.nr_open=1048576
echo 'fs.nr_open=1048576' | sudo tee /etc/sysctl.d/99-nginx-fd.conf

If nginx is managed by systemd, the shell ulimit is irrelevant for the daemon.

Procedure

1. Calculate the required limit

Each active client connection consumes one file descriptor. In reverse proxy mode, each request typically opens a second FD to the upstream server. Log files, temporary files for large request or response bodies, and cached static files add more.

Use this floor:

worker_rlimit_nofile >= (worker_connections * 2) + 1024

For a proxy worker with worker_connections 4096, set worker_rlimit_nofile 65536. The extra headroom covers logs, temp files, and event notification descriptors. If open_file_cache is enabled, add its max= parameter to the requirement.

Upstream keepalive connections can reuse sockets, so the multiplier is a worst-case floor, not an exact count.

2. Set the systemd floor

When systemd starts nginx, PAM limits.conf is not consulted for the daemon. The systemd unit sets the baseline limit the master inherits. Workers can raise their soft limit up to the master’s hard limit, but only if the inherited hard limit is at least as high as the target.

Create a drop-in to set a generous floor:

sudo mkdir -p /etc/systemd/system/nginx.service.d
sudo tee /etc/systemd/system/nginx.service.d/limits.conf <<'EOF'
[Service]
LimitNOFILE=65536
EOF

sudo systemctl daemon-reload
sudo systemctl restart nginx

A reload is not sufficient; process limits are inherited at fork() and cannot be changed for running workers without restart. A full restart drops active connections, so plan for a brief maintenance window or use a rolling restart strategy if traffic cannot be interrupted.

3. Configure nginx

Add the directive to the main context of nginx.conf, outside any server or location block:

worker_rlimit_nofile 65536;

Validate and reload:

nginx -t
nginx -s reload

If worker_connections exceeds the effective file descriptor limit, new connections will eventually fail at runtime with accept4() failed (24: Too many open files). Verify the running worker limits after startup.

4. Verify the effective limit

Confirm that workers received the intended limit.

master_pid=$(cat /var/run/nginx.pid)
worker_pid=$(pgrep -P "$master_pid" | head -n 1)

# Show soft and hard limits
prlimit -n -p "$worker_pid"

# Compare against current usage
echo "Open FDs: $(ls /proc/$worker_pid/fd 2>/dev/null | wc -l)"
awk '/^Max open files/ {print "Soft:", $4, "Hard:", $5}' /proc/$worker_pid/limits

To check all workers at once:

for pid in $(pgrep -P "$master_pid"); do
  awk '/^Max open files/ {printf "Worker %s: soft=%s hard=%s\n", '"$pid"', $4, $5}' /proc/$pid/limits
done

The soft limit reported by prlimit should match worker_rlimit_nofile unless the inherited hard limit was higher and unprivileged lowering failed. In that case the hard limit remains at the inherited value.

In containerized environments, the runtime may impose its own default. Check the container ulimit or the runtime’s systemd unit. For Docker, pass --ulimit nofile=65535:65535 at launch, or set LimitNOFILE in the container runtime unit. Inside containers, the host-level fs.file-max and fs.nr_open sysctls still cap the ceiling.

Common pitfalls

Assuming limits.conf affects systemd-managed daemons. PAM-based limits.conf applies to login sessions, not to systemd service units. If nginx is managed by systemd, always use a service drop-in.

Setting worker_connections higher than the effective FD limit. If worker_connections is 4096 but the effective FD limit is 1024, the FD limit wins. New connections fail with accept4() failed (24: Too many open files) once descriptors are consumed.

Trusting the configuration file over process reality. The value in nginx.conf can differ from /proc/<pid>/limits. Always verify the running process. Container runtimes and systemd frequently override the configured value.

Forgetting the proxy connection multiplier. Each proxied request uses at least two connections (client-facing and upstream). A server with worker_connections 512 can handle at most roughly 256 concurrent proxied requests before connection exhaustion. Raise worker_rlimit_nofile whenever you raise worker_connections.

Reloading instead of restarting after a systemd change. nginx -s reload re-forks workers from the existing master. Because the master did not re-execute, it retains the old inherited limits. Only a full service restart picks up a new systemd LimitNOFILE value.

Container default limits. Docker, Podman, and containerd often default to a soft limit of 1024. These defaults survive nginx reloads because they are process attributes inherited at exec time. Apply the fix in the container spec or the runtime systemd unit, not inside nginx.

Signals to monitor

SignalWhy it mattersWarning sign
File descriptor usage per workerFD exhaustion is a cliff-edge failureUsage >80% of limit, or trending up without traffic growth
Accepts vs handled gapDropped connections mean the kernel accepted but nginx could not processaccepts - handled delta increasing
Error log: too many open filesConfirmed FD exhaustionAny occurrence of accept4() failed (24)
Active connections vs capacityConnection slots may be limited by FDs, not just worker_connectionsActive connections plateau at a hard ceiling while traffic continues
Listen queue overflowKernel drops connections before nginx sees themTcpExtListenOverflows increasing

How Netdata helps

  • Track open files per application group alongside nginx stub_status metrics to spot workers approaching their ceiling before the kernel drops connections.
  • Correlate FD usage with active connections and the accepts-handled gap to distinguish connection slot exhaustion from file descriptor exhaustion.
  • Alert on TcpExtListenOverflows to catch kernel-level drops that never appear in nginx logs.
  • Monitor nginx error log rates for Too many open files alongside connection metrics to confirm the failure layer.
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.