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 / zookeeper / zookeeper-disk-full-txnlog

Operations Guides

ZooKeeper transaction log disk full: the crash with no graceful degradation

ZooKeeper has no graceful degradation path for a full dataLogDir partition. When the WAL append fails, the server throws an IOException and dies. There is no read-only fallback, no throttling, and no mntr warning that precedes the crash. The same applies to the snapshot directory when the next snapshot write or pre-allocation fails.

The most common root cause is broken or disabled autopurge. With autopurge.purgeInterval defaulting to 0 (disabled) and autopurge.snapRetainCount defaulting to 3, an ensemble that has never been explicitly configured will accumulate transaction logs and snapshots forever. Disk consumption is silent and cliff-edge. By the time ruok fails, the process is already gone.

What this means

Every write to ZooKeeper is synchronously appended to a write-ahead transaction log under dataLogDir and fsync’d before the proposal is broadcast to followers. If the append fails, the integrity guarantee is broken and the server stops.

ZooKeeper pre-allocates transaction log files in 64MB chunks (preAllocSize, default 64M) to avoid seeks during writes. A partition that appears to have tens of megabytes free can fail on the next log rotation, before the actual transaction data would have fit. The error message is identical to a true full-disk error.

The crash is the beginning of the problem, not the end. After you free space and restart ZooKeeper, recovery can fail in three ways:

  • Crash-loop on restart: The last log file is truncated mid-transaction. ZooKeeper reads the header, gets an EOFException, and exits again. Freeing space alone does not fix this. ZOOKEEPER-1621 documents this behavior; operators on 3.4.x and early 3.5.x branches are most likely to encounter it.
  • “Unreasonable length” IOException: A full disk can corrupt the middle of a log, not just the end. ZOOKEEPER-3975 captures this pattern.
  • Silent data loss on quorum rejoin: If the node restarts multiple times and autopurge runs each time, valid snapshots can be replaced by snapshots taken during the disk-full window. The node then joins the quorum with only the transactions from the last orphaned log file. ZOOKEEPER-2745 documents this as a still-open critical bug. ZOOKEEPER-2325 mitigates part of it on 3.5.x+ by refusing to restore from txn logs when no valid snapshot exists.
flowchart TD
    A[txnlog partition fills] --> B[IOException: process dies]
    B --> C[operator frees space, restarts]
    C --> D{recovery path}
    D -->|last log clean| E[rejoins quorum]
    D -->|log truncated or corrupted| F[crash-loop: EOFException or Unreasonable length]
    F --> G[repair with TxnLogToolkit -r or delete last log]
    G --> E
    D -->|valid snapshot purged| H[rejoins with orphaned txnlogs only]
    H --> I[silent state divergence; watch digest mismatch counter]

Common causes

CauseWhat it looks likeFirst thing to check
autopurge disabledLog files accumulate without bound; df shows steady growthgrep autopurge zoo.cfg
autopurge interval too longLogs grow faster than the hourly purge cycleautopurge.purgeInterval vs. peak write rate
Embedded ZK ignoring autopurgeSolr or similar embedded ZK fills disk despite configVendor docs for the embedding application
dataLogDir not setSnapshots and txnlog share one partition; both grow togethergrep dataLogDir zoo.cfg
Snapshot growthEach new snapshot is larger than the lastls -lhS dataDir/version-2/snapshot.*
External writersLog partition also holds app logs, core dumps, or backupsdu -sh per top-level dir

Quick checks

All read-only. Run them on the affected node first, then on the rest of the ensemble.

# Free space on the txnlog and snapshot partitions
df -h /var/zookeeper/txnlog /var/zookeeper/data

# Process and quorum state - is ZK actually up and writable?
echo ruok | nc -w 2 localhost 2181
echo isro | nc -w 2 localhost 2181
echo mntr | nc -w 2 localhost 2181 | grep -E 'zk_server_state|zk_uptime'

# Count and size of transaction logs
ls -la /var/zookeeper/txnlog/version-2/log.* | wc -l
du -sh /var/zookeeper/txnlog/version-2/

# Count and size of snapshots
ls -la /var/zookeeper/data/version-2/snapshot.* | wc -l
du -sh /var/zookeeper/data/version-2/
ls -lhS /var/zookeeper/data/version-2/snapshot.* | head -5

# Newest and oldest txnlogs - gauge growth rate
ls -lt /var/zookeeper/txnlog/version-2/log.* | head -3
ls -lt /var/zookeeper/txnlog/version-2/log.* | tail -3

# ZK log for the actual IOException that killed the process
grep -E 'IOException|No space left|Unreasonable length|fsync-ing' /var/log/zookeeper/zookeeper.log | tail -30

# Confirm autopurge config
grep -E 'autopurge|dataLogDir|snapCount' zoo.cfg

How to diagnose it

  1. Confirm the partition is the cause. Run df -h on both dataLogDir and dataDir. A full txnlog partition produces an immediate crash; a full snapshot partition produces failures at the next snapshot. Either can fail during pre-allocation before they look completely full.
  2. Confirm ZK actually died from the IOException. Grep the ZK log for IOException, No space left on device, or Unreasonable length. The line will be the last entry before the process exited.
  3. Determine whether the disk filled from txnlogs, snapshots, or something else. Compare du of the version-2 directories against other top-level entries on the same partition. If something else is consuming the space (app logs, core dumps), do not assume autopurge is the root cause.
  4. Verify whether autopurge is enabled and how it is configured. A missing or zero autopurge.purgeInterval is disabled. The interval is in hours and the minimum effective value is 1.
  5. On the leader, check whether the crashed node is counted out. Run echo mntr | nc <leader> 2181 | grep -E 'zk_learners|zk_synced_followers'. A 3-node ensemble tolerates one loss; the next loss breaks quorum.
  6. Before restarting, plan recovery. If the log was being written when the disk filled, expect either a clean recovery or a crash-loop. Identify the most recent valid snapshot and the log files that will be replayed.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
Free space on dataLogDirtxnlog full = immediate write failure and crash<10% or <2GB free
Free space on dataDirsnapshot full = next snapshot write fails<10% or <2GB free
Transaction log file countHigh count with autopurge enabled = purge brokenFar above snapRetainCount + 5
Snapshot file countOld snapshots retained = purge brokenAbove snapRetainCount + 1
zk_server_stateA dead node reports nothing; LOOKING means no leaderEmpty or LOOKING
zk_uptimeRecent reset indicates a crash or restart loopDrops to near zero
zk_snapshot_error_countIncrementing before the crash indicates snapshot write failuresAny increment
zk_unrecoverable_error_countCritical internal failure, often correlates with disk eventsAny increment
zk_digest_mismatches_countTree divergence, possible silent data loss on rejoinAny increment

The page rule is df below 10% or 2GB on either partition, whichever is reached first. The headroom target is dataLogDir above 20% free and dataDir above 30% free.

Fixes

Free space before restarting

Stop ZooKeeper if it is still running and remove old logs and snapshots by hand. Keep at least the most recent valid snapshot and the log files that pair with it. Do not delete the current log file until you have decided whether to repair it.

# Identify the most recent valid snapshot
ls -lt /var/zookeeper/data/version-2/snapshot.* | head -3

# Identify txnlogs newer than the most recent snapshot - these will be replayed
ls -lt /var/zookeeper/txnlog/version-2/log.*

Warning: Deleting or moving the wrong log or snapshot files can make the node unrecoverable. Always identify the most recent valid snapshot first. Prefer moving files out of the directory over deleting them so you can restore if recovery fails. If the ensemble has no other healthy peer, copy the entire version-2 directory aside before touching anything.

If autopurge was simply disabled, removing old snapshot and log files beyond the retained set often frees tens of gigabytes. Always keep at least snapRetainCount (default 3) of the newest snapshots.

Recover from a crash-loop

If the node enters a restart loop after the disk is freed, the last log file is likely truncated. Two recovery paths:

  • TxnLogToolkit ships with ZooKeeper and supports a -r (recover) mode that recalculates CRCs for broken transaction log entries. Try it on the suspected log file first. Note that “Unreasonable length” corruption (ZOOKEEPER-3975) stems from a corrupted record length field, not just a bad CRC, so TxnLogToolkit -r may not be able to repair that specific damage.
  • Manual deletion: If TxnLogToolkit cannot repair the file, move the corrupted log out of the directory and let ZK recover from the previous valid snapshot plus the prior logs.

After either path, restart ZK and watch the log for Snapshotting, Loading snapshot, and the server entering FOLLOWING or LEADING state.

Confirm no silent data loss

Before allowing the recovered node back into the quorum, compare its zxid against the leader and the other followers. The values should be identical, or within a few transactions during catch-up.

# Compare zxid across the ensemble
echo mntr | nc <node> 2181 | grep zk_zxid
echo mntr | nc <leader> 2181 | grep zk_zxid

If the recovered node’s zxid is far behind or appears to come from an orphaned log (no matching snapshot), stop it and rebuild from a known-good snapshot taken from a healthy peer. Watch zk_digest_mismatches_count after the node rejoins.

Fix the root cause

Re-enable autopurge if it was disabled. Minimum sane defaults:

autopurge.snapRetainCount=3
autopurge.purgeInterval=1

If your write rate is high enough that logs accumulate faster than the hourly purge can keep up, autopurge alone cannot solve this. You need a larger partition, a reduction in write rate, or both. Consider enabling snapSizeLimitInKb (3.6+) so log rotation triggers on size as well as count.

If dataLogDir was not set, set it to a separate volume. This also fixes the snapshot-vs-txnlog I/O contention problem covered in the fsync warning guide.

Prevention

  • Monitor df on both partitions and page at <10% or <2GB free. This is the single highest-value check and the only early warning before the crash.
  • Maintain at least 3x the largest snapshot size free, plus 24 hours of txnlog growth at peak write rate. This is the headroom rule from the playbook.
  • Confirm autopurge is configured on every node. Default purgeInterval=0 is disabled. The interval is in hours with a minimum of 1.
  • Place dataLogDir on its own volume. Snapshot growth can no longer consume the txnlog partition.
  • Track snapshot size growth. Growing snapshots mean a growing data tree, which means growing txnlog volume between snapshots.
  • Track txnlog file count. Anything far above snapRetainCount + 5 with autopurge enabled means purge is broken or stuck.
  • Test recovery on a staging node. Simulate a full partition by filling it with dd and walk through the recovery flow before you have to do it at 3 a.m.

How Netdata helps

  • Disk space on dataLogDir and dataDir: page at <10% or <2GB free with per-second collection.
  • zk_uptime resets: detect the crash immediately without polling ruok.
  • zk_server_state: confirm whether quorum survived the node loss.
  • zk_snapshot_error_count and zk_unrecoverable_error_count delta: leading indicators before the process exits.
  • zk_digest_mismatches_count delta: the only signal for the silent data loss variant on rejoin.
  • Correlate disk space, ZK log events, and zk_uptime on one timeline: identify “txnlog filled at 03:14, autopurge disabled, recovery crashed at 03:17” instead of just “ZK crashed”.