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-connect-failed-connection-refused-upstream

Operations Guides

nginx connect() failed (111: Connection refused) while connecting to upstream

HTTP 502 Bad Gateway and the error connect() failed (111: Connection refused) while connecting to upstream mean nginx reached the upstream IP, but the target port actively refused the TCP connection. The backend is either not running, not listening on the interface nginx expects, or a firewall is blocking the port.

This is distinct from upstream timed out (110: Connection timed out). A timeout means the TCP SYN never received a response, usually because a firewall silently dropped the packet or the host is unreachable. Errno 111 means the network path is open but no process is accepting connections. The error log includes the upstream address, such as upstream: "fastcgi://127.0.0.1:9000". Read that line first to isolate the exact backend.

If you have multiple upstream servers, stock nginx retries the request on the next peer because connect failures map to the error condition in proxy_next_upstream, which is in the default retry set. With a single upstream, or if all servers are already marked unavailable, the client gets an immediate 502.

What this means

When nginx proxies a request, connect() returns ECONNREFUSED (111) when the target IP is reachable but no process listens on that port. The client receives HTTP 502.

The error log contains the upstream address, for example upstream: "http://10.0.1.10:8080". Use this to identify the exact peer that failed.

Stock nginx uses passive health checks with max_fails=1 and fail_timeout=10s. A single 111 counts as one failure. If a server accumulates max_fails failures within fail_timeout, nginx marks it unavailable for the remainder of that period and stops sending traffic to it. With a single upstream server, nginx keeps attempting connections regardless of recent failures. Connect failures map to the error condition, which is in the default proxy_next_upstream set, so nginx retries on the next peer when multiple servers are configured.

flowchart TD
    A[Error 111 in nginx log] --> B{Backend process running?}
    B -->|No| C[Restart backend and check for OOM or crash]
    B -->|Yes| D{Listening on expected interface and port?}
    D -->|No| E[Fix bind address or upstream port in config]
    D -->|Yes| F{Reachable from nginx host?}
    F -->|No| G[Check firewall rules or container network]
    F -->|Yes| H{Using localhost or 127.0.0.1?}
    H -->|Yes| I[Replace with explicit IP or service name]
    H -->|No| J{IPv6 localhost mismatch?}
    J -->|Yes| K[Use explicit 127.0.0.1 instead of localhost]
    J -->|No| L[Review max_fails and fail_timeout state]

Common causes

CauseWhat it looks likeFirst thing to check
Backend process stopped or crashed502s start immediately after a deploy, restart, or OOM kill; error log points to the expected backend addressProcess status on the backend host: ps aux or container runtime status
Backend listening on wrong interface or portBackend process is running, but direct connection from the nginx host still fails with refusalss -tlnp on the backend host to verify bound IP and port
Container localhost mismatchnginx runs inside a container and uses 127.0.0.1 or localhost as upstream, reaching its own loopback instead of the host or another containerContainer network mode and DNS or service names
Firewall or host ACL blocking portBackend is healthy and listening, but connections from the nginx host are refusediptables -L or firewall-cmd --list-all, then test with nc or bash /dev/tcp from the nginx host
IPv6/IPv4 localhost mismatchUpstream configured as localhost; backend binds only to IPv4 (127.0.0.1) while nginx resolves to [::1]Use explicit 127.0.0.1 in the upstream definition instead of localhost
Port or upstream definition mismatchnginx points to port 9000 but the backend listens on 3000, or a typo exists in the upstream blocknginx -T output for the upstream server directive

Quick checks

Run these read-only checks first.

# Check recent upstream connection errors
tail -1000 /var/log/nginx/error.log | grep -E "connect\(\) failed.*111"

# Validate nginx configuration syntax
nginx -t

# Verify backend process is running (example: php-fpm)
ps aux | grep php-fpm | grep -v grep

# Verify listening sockets on the backend host
ss -tlnp

# Test direct TCP connectivity from the nginx host
timeout 2 bash -c "echo > /dev/tcp/<backend-host>/<port>" 2>/dev/null && echo "UP" || echo "DOWN"

# Identify which upstream server failed from error logs
grep "connect() failed (111" /var/log/nginx/error.log | grep -oP 'upstream: "\K[^"]+' | sort | uniq -c | sort -rn

How to diagnose it

  1. Read the error log line. Extract the upstream address from the upstream: field. Confirm the timestamp correlates with the 502 responses.

  2. Verify backend process health. On the backend host, check that the application process is running. In container environments, check container or pod status. Look for recent OOM kills or crash loops.

  3. Verify the listening socket. Run ss -tlnp on the backend host. Look for the expected port in the Local Address:Port column. If the backend is bound to 127.0.0.1:8080 but nginx connects from another host or container, that explains the refusal. If the port does not appear at all, the backend process failed to start or bound to a different port.

  4. Test direct connectivity from the nginx host. Use nc -zv <host> <port> or bash -c 'echo > /dev/tcp/<host>/<port>' from the nginx host or container. If this fails with connection refused, the network path is clear but the port is closed.

  5. Check container networking. If nginx and the backend are in separate Docker containers or Kubernetes pods, ensure they share a network or use the correct service DNS name. Never use localhost or 127.0.0.1 to reach another container. In Docker Compose, use the service name; in Kubernetes, use the ClusterIP service DNS or the pod IP if headless.

  6. Check firewall rules. If the backend is listening and the port is correct, verify that host firewalls or cloud security groups allow traffic from the nginx host to the backend port.

  7. Check for IPv6/IPv4 mismatch. If the upstream is defined as localhost, change it to 127.0.0.1 to rule out [::1] vs 127.0.0.1 binding mismatches.

  8. Review passive health check state. If you have multiple upstream servers, check whether the failing server was temporarily marked down. Look for no live upstreams or repeated 111 errors to the same peer. With a single upstream, nginx continues sending traffic to a dead backend.

  9. Correlate with access log timing. If your access log format includes $upstream_connect_time, a value of - or a sudden spike indicates connection establishment failures. Compare $upstream_response_time and $request_time to confirm the delay is at connect time, not during response transfer.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
HTTP 502 rateDirect user impact from refused upstream connectionsSustained nonzero rate, or a spike after deploys or restarts
$upstream_connect_timeIsolates connection establishment from response time; 111 errors appear as failures or spikesValues of -, or P95 > 100 ms in a local datacenter
$upstream_response_timeReveals if remaining healthy backends are overloaded after peers dropP95 trending up after upstream failures
Error log connect() failed (111)Exact symptom count and backend identificationAny sustained rate > 0
Active connections in Writing stateConnections pile up waiting for backends, accelerating exhaustionWriting sustained above 60% of active connections
accepts - handled gapDetects connection drops if upstream failures cascade to saturationGap increasing for > 60 seconds

Fixes

Backend process down

Restart the application process. Check backend logs for OOM kills, segfaults, or CrashLoopBackOff events immediately before the 111 errors started. If the backend is managed by systemd, check systemctl status <service> and journalctl -u <service> -n 50. If the backend uses systemd socket activation, verify the socket unit is listening with systemctl status <service>.socket and that the service unit started.

Wrong bind address or port mismatch

Reconfigure the backend to bind to 0.0.0.0:<port> or the specific interface nginx uses. If the backend intentionally binds to 127.0.0.1 for security, nginx must run on the same host and network namespace, or you must use a Unix domain socket. Ensure the socket path is readable by the nginx worker process user and that the path matches the upstream block exactly. Update the nginx upstream definition if the backend port changed.

Container networking mismatch

Replace localhost and 127.0.0.1 in upstream definitions with the Docker Compose service name, Kubernetes service DNS name, or the container bridge IP. Verify both containers share the same network or can route to each other.

Firewall or security group blocking

Add an allow rule for the nginx host to reach the backend port. Verify with nc or /dev/tcp from the nginx host after applying the change.

IPv6/IPv4 mismatch

Change upstream definitions from localhost to the explicit IPv4 or IPv6 address that matches the backend bind configuration.

Passive health check flapping

If transient 111 errors occur during rolling updates or brief restarts, consider increasing max_fails from the default of 1 to 3, or raising fail_timeout. Tradeoff: this delays detection of genuine failures. Only tune this if you observe false positives correlated with normal deployment behavior.

Prevention

Expose a lightweight health check endpoint on every backend so external monitors detect absence before user traffic is affected. Avoid localhost in upstream definitions; use explicit IPs or service names. Manage firewall rules as code and audit them after infrastructure changes. Ensure container orchestration uses shared networking or proper service discovery rather than loopback assumptions. Size upstream pools so that the loss of one backend does not overload the remainder.

How Netdata helps

  • Correlate HTTP 502 spikes with error log entries for connect() failed (111) to confirm the pattern.
  • Plot $upstream_connect_time to isolate connection refusal from backend slowness.
  • Track active connection states (Reading, Writing, Waiting) to detect upstream failure pile-up.
  • Alert on the accepts - handled gap to catch connection exhaustion before it cascades.
  • Monitor worker process count and file descriptor utilization to rule out nginx-side saturation that mimics upstream problems.
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.