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 / mysql / mysql-disk-full-no-space-left

Operations Guides

MySQL Got error 28 from storage engine / No space left on device — recovery

When Got error 28 from storage engine appears, the underlying filesystem is at 100%. MySQL needs writable space for InnoDB data files, redo logs, binary logs, temporary tables, relay logs, and slow query logs. Writes fail immediately. Affected threads enter a retry loop, logging warnings until an operator frees space or kills the operation.

The most dangerous scenario is the redo log filling up. If checkpoint age approaches capacity, InnoDB forces aggressive synchronous flushing. Under sustained pressure this can trigger an unclean shutdown and crash recovery on restart. Replicas are similarly vulnerable: a full relay log partition stops the I/O thread and lets lag grow unboundedly, risking binlog expiry on the source before catch-up.

What this means

Errno 28 is ENOSPC. MySQL surfaces it as Got error 28 from storage engine, Can't create/write to file, or The table is full. This is not an internal MySQL limit; the underlying filesystem has no blocks left.

MySQL pauses the affected thread and retries. This applies to binary log writes, data file writes, and temporary table creation. However, REPAIR TABLE, OPTIMIZE TABLE, LOAD DATA INFILE, and ALTER TABLE create large temporary files. If the disk fills during one of these operations, MySQL removes the temporary files and marks the table as crashed. For ALTER TABLE, the original table is preserved but the operation is lost.

Keep these consumers distinct:

  • Binary logs: sequential files that accumulate until expiry or purge.
  • Redo log: circular, but since MySQL 8.0.30 lives in #innodb_redo/ under the datadir with capacity set by innodb_redo_log_capacity.
  • Relay logs: on replicas, fetched from the source and purged after apply.
  • Tmpdir: hidden files for sorts, joins, and online DDL.
  • Session temporary tablespace: ibtmp1, which grows under heavy temp table load and does not shrink automatically.
flowchart TD
    A[Disk partition reaches 100%] --> B{Which consumer?}
    B -->|Binlogs| C[Binlog writes block
Transactions wait] B -->|Redo log| D[Sharp checkpoint forced
Unclean shutdown risk] B -->|Tmpdir| E[Temp queries stall
Online DDL aborts] B -->|Relay logs| F[Replica IO thread stops
Lag grows unboundedly] B -->|Data files| G[All writes fail
Error 28 to clients]

Common causes

CauseWhat it looks likeFirst thing to check
Binary log accumulationBinlog partition full; replication may break if primary cannot write binlogsSHOW BINARY LOGS; and SHOW GLOBAL VARIABLES LIKE 'binlog_expire_logs_seconds';
Temporary table spill to tmpdirQueries with large GROUP BY or ORDER BY create hidden files in tmpdirSHOW GLOBAL STATUS LIKE 'Created_tmp%'; and SHOW PROCESSLIST;
Redo log or undo tablespace growth#innodb_redo/ or ibtmp1 consuming unexpected space on the data volumeSHOW ENGINE INNODB STATUS\G and du -sh on the data directory
Relay log accumulation on replicaReplica disk full; Seconds_Behind_Source growing without boundSHOW REPLICA STATUS\G and the Relay_Log_Space field
General or slow query log without rotationA single log file growing to fill its partitionSHOW GLOBAL VARIABLES LIKE 'slow_query_log_file'; and filesystem size

Quick checks

These checks identify which filesystem and subsystem are responsible.

# Identify the full filesystem
df -h
-- List binlog files and sizes
SHOW BINARY LOGS;
-- Check automatic expiry policy (MySQL 8.0+)
SHOW GLOBAL VARIABLES LIKE 'binlog_expire_logs_seconds';
-- For MySQL 5.7, check the deprecated variable:
SHOW GLOBAL VARIABLES LIKE 'expire_logs_days';
-- Temporary table spill ratio
SHOW GLOBAL STATUS LIKE 'Created_tmp_disk_tables';
SHOW GLOBAL STATUS LIKE 'Created_tmp_tables';
-- On replicas, check relay log footprint
SHOW REPLICA STATUS\G
-- Look for Relay_Log_Space
-- Find long-running operations that may be building temp files
SHOW PROCESSLIST;
-- Check redo log checkpoint age and warnings
SHOW ENGINE INNODB STATUS\G
-- Look for LOG section: Log sequence number vs Last checkpoint at
# Estimate redo log size on MySQL 8.0.30+
du -sh /var/lib/mysql/#innodb_redo/
# Pre-8.0.30 redo logs:
ls -lh /var/lib/mysql/ib_logfile*
# Check session temp tablespace size
ls -lh /var/lib/mysql/ibtmp1

How to diagnose it

  1. Confirm the filesystem with df -h. tmpdir, relay logs, and slow query logs often live on separate mount points or on root. Do not assume the data partition is the culprit.

  2. Map the full partition to a MySQL consumer. Binlog directory full: SHOW BINARY LOGS shows large cumulative sizes. tmpdir full: the error log references temp files and errno: 28. Data directory full: inspect #innodb_redo/, ibtmp1, and .ibd files.

  3. Check the error log for the exact file path. MySQL logs the specific file it was writing when ENOSPC occurred.

  4. Correlate with status variables. A high Created_tmp_disk_tables ratio with a full tmpdir points to a runaway query. A large Relay_Log_Space on a replica with normal apply threads means fetch outpaces consumption. Binlogs with no expiry policy point to configuration drift.

  5. Identify whether the growth is sudden or gradual. Sudden spikes usually mean a single large operation (ALTER TABLE, LOAD DATA INFILE, or an unoptimized aggregation). Gradual growth suggests missing expiry, data growth, or undo accumulation from a long transaction.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
Disk utilization on data, binlog, tmpdir, and relay partitionsMySQL has no graceful degradation for ENOSPC; writes stop at 100%Sustained > 80% on any MySQL-related filesystem
Binary log size and ageUnexpired binlogs accumulate indefinitely if a replica lags or if expiry is disabledOldest binlog age exceeds binlog_expire_logs_seconds by a day or more
Created_tmp_disk_tables / Created_tmp_tables ratioIndicates queries spilling from memory to tmpdir, which can silently fill a partitionRatio > 25% and climbing
Relay_Log_SpaceReplicas that cannot apply events fast enough accrue relay logs until the disk fillsGrowing monotonically alongside replication lag
Checkpoint age / redo log capacityAn undersized redo log forces sharp checkpoints and can cause unclean shutdownsCheckpoint age > 75% of innodb_redo_log_capacity
ibtmp1 sizeThe InnoDB session temporary tablespace never shrinks; sustained temp table load fills itFile size trending upward over days

Fixes

Binary logs consuming the partition

If SHOW BINARY LOGS confirms binlogs are the dominant consumer and replicas have consumed the older files:

-- Verify replica positions first if not using GTID auto-positioning
PURGE BINARY LOGS BEFORE '2024-06-07 00:00:00';

For a permanent fix, set binlog_expire_logs_seconds (MySQL 8.0+) instead of the deprecated expire_logs_days. In MySQL 5.7, expire_logs_days defaults to 0, meaning binlogs never expire.

Tradeoff: Premature purging breaks replication if a replica has not fetched the events. Always confirm replica catch-up before manual purge.

Tmpdir exhausted by a query

Identify the query via SHOW PROCESSLIST. Look for Copying to tmp table or Sending data paired with a heavy GROUP BY, ORDER BY, or DISTINCT. Kill it:

KILL <processlist_id>;

MySQL removes the hidden temp files on abort.

Tradeoff: The operation fails and must be retried. If the query is an online ALTER TABLE, the table is preserved but the alteration is lost.

General or slow query log filling the disk

Do not rm the file while MySQL holds the file descriptor. Truncate it instead:

# On the host, after copying the log elsewhere if needed
> /var/lib/mysql/slow.log

Then tell MySQL to reopen the file handle:

FLUSH LOGS;

Tradeoff: Truncation destroys log history. Copy the file to another partition first if forensic analysis is required.

Redo log pressure

You cannot delete redo log files while the server is running. Never remove #innodb_redo/ files or ib_logfile* after an unclean shutdown and expect clean recovery. If the redo log partition is full because capacity is undersized, free space by removing non-essential files on that filesystem, or expand the volume.

On MySQL 8.0.30+, increase capacity dynamically if the server is still responsive:

SET GLOBAL innodb_redo_log_capacity = <new_size>;

Pre-8.0.30, changing redo log size requires a clean shutdown with innodb_fast_shutdown=0 and a restart.

Tradeoff: Increasing redo log capacity consumes more disk permanently. Plan the partition size accordingly.

Relay logs filling the replica disk

If the replica cannot apply events fast enough and the relay log partition is critical, pause the I/O thread to stop fetching new events:

STOP REPLICA IO_THREAD;

This prevents disk exhaustion at the cost of increasing lag. The permanent fix is to increase replica apply capacity (enable multi-threaded apply in 8.0.27+, scale CPU/disk) or increase the relay log partition size.

Tradeoff: Stopping the I/O thread accepts unbounded lag. If the source’s binlog expires before you resume, the replica requires a full rebuild.

Prevention

  • Set binary log expiry explicitly. Use binlog_expire_logs_seconds in MySQL 8.0+. Do not rely on defaults, because MySQL 5.7 defaults to never expiring.
  • Monitor tmpdir separately. Place tmpdir on its own partition or volume so that a runaway query cannot take down the data directory.
  • Size redo log capacity for peak write rate. On MySQL 8.0.30+, set innodb_redo_log_capacity so checkpoint age stays below 50% during normal peaks.
  • Set relay_log_space_limit on replicas. This caps total relay log space and stops the I/O thread before the filesystem fills.
  • Keep 20% headroom on all MySQL filesystems. Track daily growth rates and alert at 80%, not at 95%.
  • Watch the temp table disk ratio. A climbing Created_tmp_disk_tables ratio is an early signal that queries are spilling and tmpdir pressure is building.

How Netdata helps

  • Correlates disk utilization per mount point with MySQL internal signals to distinguish a full binlog volume from a full tmpdir.
  • Tracks Created_tmp_disk_tables and Created_tmp_tables to surface temp-table spill before the partition fills.
  • Monitors Relay_Log_Space alongside replication lag to show when relay log growth outpaces apply rate.
  • Surfaces redo log checkpoint age as a percentage of capacity for early warning before sharp checkpoint stalls.
  • Alerts on disk space thresholds with enough runway to purge binlogs or kill a runaway query before errno 28 hits.
The Netdata solution

MySQL monitoring with Netdata

Netdata monitors MySQL and MariaDB with per-second metrics and ML anomaly detection. Track connection usage, query throughput, slow queries, redo-log pressure, and replication lag alongside the host and storage signals that explain them.