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 / php-fpm / php-fpm-pool-running-as-root ▌

Operations Guides

PHP-FPM pool running as root or a shared user: privilege and isolation risk

A single line of PHP-FPM configuration decides how far an attacker travels after a remote code execution bug in your application. The pool’s user and group directives set the identity of every worker that runs your code. That identity is the blast radius of a successful exploit.

The detection commands below are read-only. The lockdown changes require a graceful reload (SIGUSR2 or systemctl reload php-fpm), which re-reads the pool configuration and cycles workers while in-flight requests finish. Plan each change as a deploy.

The master process runs as root by design. Workers must not. The three risks this guide targets: workers running as root, workers running as a shared user across multiple applications, and pools that look isolated but share enough state that one compromised app can read another.

What the blast radius actually is

PHP-FPM is a master-worker architecture. The master starts as root (typically via systemd), reads its configuration, and forks workers. Each pool’s user and group directives, set in the per-pool configuration file, decide the credentials workers drop to after fork.

A remote code execution in your PHP application runs as that worker user. What the worker can read, the attacker can read. What it can write, the attacker can write. What it can reach on localhost, the attacker can probe. The Unix user is the boundary; PHP-FPM enforces no finer-grained sandbox below it.

The two failure shapes to look for:

Workers running as root. PHP-FPM refuses to start a pool with user = root. The error is ERROR: [pool www] please specify user and group other than root. The -R (--allow-to-run-as-root) command-line flag bypasses this guard. It exists for containers and test harnesses and must never be used in production. If you find it in a systemd unit or container entrypoint, treat the host as effectively compromised the moment any PHP vulnerability fires.

Workers running as a shared user. Several applications or vhosts sharing one pool user (www-data, apache, or a generic php account) means any RCE in one app can read the others’ source, configuration files, session files, and locally cached secrets. PHP-FPM pools do not enforce filesystem isolation on their own. Adding a second pool under the same master does not help if both pools run as the same user.

flowchart TD
    master["PHP-FPM master
runs as root by design"] subgraph poolA["Pool A"] wa["workers run as user: appA"] end subgraph poolB["Pool B"] wb["workers run as user: appB"] end shared["Shared OPcache segment
one per master process"] master -- "forks, setuid per pool" --> poolA master -- "forks, setuid per pool" --> poolB poolA -- "shares bytecode" --> shared poolB -- "shares bytecode" --> shared poolA -. "filesystem boundary:
appA cannot read appB files" .-> poolB

Why separate pools are not a complete fix

Adding more pools under the same master does provide some isolation: each pool has its own workers, its own pm.max_children, its own socket, and (if you configure it) its own user. But pools under a single master share two surfaces you should not ignore.

The first is OPcache. The PHP documentation is explicit that pools are not a security mechanism: they do not provide full separation, and all pools under one master share a single OPcache instance. A worker in one pool can read cached bytecode from another pool’s PHP files. If those files were included with credentials inline, the cached bytecode and file paths are visible across pools.

The default OPcache directives make this worse. opcache.validate_permission and opcache.validate_root both default to 0. With both off, OPcache does not check whether the requesting worker’s user actually owns the file whose cached bytecode it is about to serve. The fix is to set both to 1. These directives were added in PHP 5.6.29, 7.0.14, and 7.1.0; any modern PHP has the knobs, you just have to enable them.

The second shared surface is the master process itself. The master communicates with workers over shared memory, and that channel has been a privilege escalation path before. CVE-2021-21703 was a local privilege escalation from an unprivileged worker to root via shared memory corruption with the master. It was patched in PHP 7.3.32, 7.4.25, and 8.0.12 and all later releases. On older PHP, even a non-root worker user can escalate to root. This is a second reason, independent of filesystem permissions, to keep PHP patched and to never run workers as root.

Detection and audit

All checks are read-only. Run them from the host that runs PHP-FPM.

# Show user and group of every FPM process, including the master
ps -C php-fpm -o pid,user,group,args

You should see one root process (the master) and every other line running as a non-root user. On Debian-family systems the process name may be version-suffixed (for example php-fpm7.4); use pgrep -af php-fpm if ps -C php-fpm returns nothing. If master and workers share the root user, the -R flag is in effect. If two different applications’ workers both run as www-data (or any shared account), you have a shared-user problem.

# List every pool configuration file with its user and group directives
grep -RHnE "^[[:space:]]*(user|group)[[:space:]]*=" \
  /etc/php/*/fpm/pool.d/ /etc/php-fpm.d/ 2>/dev/null

Adjust directories to your distribution. Debian and Ubuntu use /etc/php/<version>/fpm/pool.d/. RHEL-family package configurations commonly use /etc/php-fpm.d/; alternative or versioned packages can use another include path. Check the master include= line or php-fpm -tt when in doubt. Each .conf file inside represents one pool.

# Confirm the -R flag is not being passed to the master
ps -o args= -p "$(pgrep -f 'php-fpm: master' | head -1)"
# Or read the systemd unit
systemctl cat php-fpm 2>/dev/null | grep -E "ExecStart="

If you see -R or --allow-to-run-as-root in either output, the pool’s user = directives are being overridden at the master level. Remove it.

# Find applications whose workers run as the same user
ps -C php-fpm -o user,args --no-headers | awk '{print $1}' | sort | uniq -c | sort -rn

A single user accounting for more than one pool is your shared-user exposure. Confirm by mapping pool names to applications; the args column shows php-fpm: pool <name>.

# Check whether OPcache enforces file ownership across pools
php -r 'echo "validate_permission: " . ini_get("opcache.validate_permission") . "\n";
        echo "validate_root: "      . ini_get("opcache.validate_root")      . "\n";'

An empty string or 0 for either directive means OPcache is not enforcing per-file ownership. php -r runs in CLI context, which may differ from the FPM SAPI. For the per-pool FPM value, inspect the pool config or call ini_get from a web-accessible script and remove it immediately after.

Lockdown checklist

Each item is a deploy. A graceful reload (systemctl reload php-fpm) applies pool configuration changes and cycles workers; in-flight requests complete on the old workers while new workers come up under the new config.

One pool per application or tenant. Separate pm.max_children, separate logging, and a clean place to pin a user identity. Mixing tenants in one pool means one tenant’s slow request can saturate another tenant’s workers, and one tenant’s compromise touches the other’s filesystem namespace.

A distinct, least-privilege Unix user per pool. This is the actual security boundary. Create a system user per site (useradd -r -s /usr/sbin/nologin sitename on Debian/Ubuntu; on RHEL-family use /sbin/nologin, or /usr/sbin/nologin on current merged-usr systems) and set user = sitename and group = sitename in that pool’s configuration. The user should own the application’s files and nothing else.

A unique listen socket per pool. Avoids the web server talking to the wrong pool and gives per-pool backpressure at the kernel level. Set listen = /run/php/sitename.sock (or a unique TCP port) per pool.

Correct socket ownership and permissions. The web server needs to connect, but no other user should. Use listen.owner = www-data, listen.group = www-data, and listen.mode = 0660 so only the web server can reach the socket.

OPcache cross-pool hardening. The per-pool Unix user is not enforced by OPcache unless you ask it to. Set opcache.validate_permission = 1 and opcache.validate_root = 1 in php.ini or per pool via php_admin_value[]. Both are no-ops on single-pool hosts and a strict improvement on multi-pool hosts.

Per-pool open_basedir. Defense in depth. open_basedir constrains which paths PHP can read at all, so even a same-user bug in one pool cannot trivially read another pool’s files. Set php_admin_value[open_basedir] = /var/www/sitename/:/tmp/sitename/ per pool.

Per-pool disable_functions. Shrink the post-exploit surface. At minimum disable exec, system, passthru, shell_exec, popen, proc_open, and pcntl_exec for applications that do not need them. Some frameworks (Composer, image processing) require a subset, so tune per application.

Patched PHP. CVE-2021-21703 turned the worker-to-master shared memory channel into a privilege escalation path. The fix is in PHP 7.3.32, 7.4.25, and 8.0.12 and all later releases. Any deployment older than those versions is exposed regardless of pool configuration.

Signals to monitor

SignalWhy it mattersWarning sign
Worker user from ps -C php-fpm -o user,group,argsConfirms runtime identity matches configurationAny worker running as root, or two applications sharing one user
-R / --allow-to-run-as-root on the master command lineIndicates the root-user guard is bypassedFlag present in systemctl cat php-fpm or ps -o args= output
Per-pool socket file ownership (ls -l /run/php/*.sock)Confirms only the web server can connectSocket world-readable or world-writable, or owned by the wrong pool’s user
OPcache validate_permission and validate_rootConfirms cross-pool reads are blocked by file ownershipEither directive at 0 on a multi-pool host
PHP version vs CVE-2021-21703 patch levelConfirms the worker-to-master escalation is closedPHP 7.3 below 7.3.32, 7.4 below 7.4.25, or 8.0 below 8.0.12
open_basedir and disable_functions per poolDefense in depth if the worker user is ever bypassedEmpty open_basedir on a multi-tenant host

How Netdata helps

  • The PHP-FPM collector exposes per-pool process counts, active and idle workers, and the listen queue depth. A sudden divergence between two pools that previously tracked each other is often the first sign of one tenant’s problem spilling into another.
  • Per-process CPU and memory views let you confirm the worker identities you expect (the user column from ps -C php-fpm) match the resource usage you are graphing. An unexpected root-owned process consuming CPU on an FPM host is a high-signal event.
  • Anomaly detection learns each pool’s normal worker count, accepted-connection rate, and request duration. A sustained spike in one pool’s worker count without a corresponding traffic increase is consistent with a slow-request cascade or an attacker probing internal endpoints from a compromised worker.
  • Correlating PHP-FPM signals with system-level signals (per-process file descriptors, outbound connection counts, syslog entries from su and sudo) puts the worker-user-to-host-privilege boundary in one view.
  • Collectors run per host at per-second resolution, the polling cadence you want for spotting a pivot between pools in real time rather than after the fact.