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 / ceph / ceph-osd-down

Operations Guides

Ceph OSD down: telling a dead disk apart from a network blip

OSD_DOWN fires. ceph_osd_up flipped to 0. The 600-second countdown to OUT and recovery has begun.

Your first job: figure out whether this is a dead disk (act now, plan a replacement) or a network blip (wait, verify, let the OSD come back). Acting on the wrong diagnosis wastes disk and network I/O on a needless backfill, or worse, leaves a failing disk in service past the point where SMART was already warning you.

The OSD_DOWN alert is a TICKET, not a PAGE, by design. Whether data is actually at risk depends on pool sizes, CRUSH failure domains, and which PGs landed on the missing OSD. The OSD is suspect; the PGs are the verdict.

What this means

ceph_osd_up = 0 means the monitor has stopped hearing from the OSD daemon. Ceph does not take a single peer’s word for it: at least 2 OSDs from different hosts (mon_osd_min_down_reporters default 2, mon_osd_reporter_subtree_level default “host”) must miss heartbeats past the 20-second grace (osd_heartbeat_grace) before the monitor marks the OSD down.

Once down, a 600-second countdown starts (mon_osd_down_out_interval default 600). At the end, the OSD is marked OUT, PGs remap, and Ceph recovers data onto surviving OSDs. This is the cost of misdiagnosing a network blip: once OUT fires, an OSD that returns must backfill its PGs rather than replay the PG log.

The OSD_DOWN health check summary is e.g. “1 osds down” (the monitor prints “ osds down”). It is a TICKET by design. The PG-state signals (ceph_pg_down, ceph_pg_incomplete, ceph_pg_degraded with stalled recovery) carry the actual data-availability verdict and are what you should consider paging on.

Before assuming recovery will run at all, check the noout flag. With ceph_osd_flag_noout set, a down OSD stays DOWN+IN indefinitely, PGs stay degraded, and no recovery runs. Forgotten noout is the single most common preventable Ceph outage.

Common causes

CauseWhat it looks likeFirst thing to check
Disk failureSingle OSD down; SMART errors or EIO in dmesg; OSD log shows BlueStore read errorssmartctl -A on the backing device, dmesg -T | grep -iE 'error|fail'
Host crashAll OSDs on one host flip down at the same epochOther services on the host; IPMI/iLO; journalctl -b -1
Cluster network partitionOSDs mark each other down on the monitor but daemons still running; clients may still reach OSDs over the public netCluster-network interface stats, MTU consistency across hosts
MTU mismatchOSD flapping (repeated up/down) rather than staying cleanly downping -M do -s 8972 <peer> between OSD hosts
OOM-killDaemon process gone; dmesg shows Out of memory: Killed process ... ceph-osddmesg -T | grep -i 'killed process', OSD RSS history
Suicide timeoutOSD log shows had suicide timed out after 150 then the daemon aborts with hit suicide timeoutSlow ops in the hours before, RocksDB/OMAP latency, deep-scrub schedule
BlueStore DB spilloverOSD becomes slow before dying; commit latency climbing for daysceph daemon osd.<id> bluefs stats for slow_used_bytes > 0

Quick checks

Read-only triage commands. None of these change cluster state.

# Confirm the OSD_DOWN health check and list which OSDs are flagged
ceph health detail | grep -A2 OSD_DOWN

# Show down OSDs in topology context (host, failure domain, weight)
ceph osd tree down

# Check whether noout is blocking recovery
ceph osd dump | grep -E 'noout|flags'

# Per-OSD commit and apply latency as reported by peers
ceph osd perf

# PGs that are degraded, stale, or down because of the missing OSD
ceph pg dump_stuck degraded
ceph pg dump_stuck stale

# On the OSD host: kernel messages for the backing device
dmesg -T | grep -iE 'error|fail|i/o|killed process'

# Is the ceph-osd daemon process actually running?
systemctl status ceph-osd@<id>

# Recent OSD daemon log
tail -n 200 /var/log/ceph/ceph-osd.<id>.log

# MTU sanity check toward a peer OSD host (jumbo-frame payload is 8972)
ping -M do -s 8972 -c 3 <peer_osd_host>

How to diagnose it

The decision flow is: is the daemon process alive, and if so, is the disk healthy?

  1. Locate the OSD host and check the daemon. ceph osd tree down tells you which host. SSH in. systemctl status ceph-osd@<id> tells you whether systemd thinks it is running; ps -ef | grep ceph-osd confirms the process exists.

  2. If the process is gone, look at how it died.

    • dmesg -T | grep -i 'killed process' for OOM-kill.
    • OSD log tail for had suicide timed out after or the abort message hit suicide timeout (the watchdog fires at 150 seconds, 10x the osd_op_thread_timeout default of 15 seconds).
    • If neither appears and peer OSDs on the same host are also down, suspect host crash or host network failure rather than the daemon.
  3. If the process is alive, the disk is the prime suspect. Pull SMART with smartctl -A /dev/<dev>. Look at Reallocated_Sector_Ct, Current_Pending_Sector, Offline_Uncorrectable. Any nonzero and rising means the device is failing. Cross-check with dmesg for medium errors. BlueStore writes the raw block device, but the kernel still logs medium errors at the block layer.

  4. If SMART is clean, look at the cluster network. A failed private (cluster) network with a working public network is the classic flapping pattern: OSDs mark each other down on the monitor while still serving clients. Check the cluster-network interface (ip -s link show), peer reachability with the jumbo-frame ping, and switch port counters. If all OSDs on the host are down together, suspect shared infrastructure: NIC, cable, or top-of-rack switch. If only this OSD is down and peers on the same host are up, the cluster network is probably fine; lean toward slow disk or daemon stall.

  5. Check what Ceph itself thinks. ceph health detail shows whether the OSD is reported as flapping (OSD_FLAPPING health check active). If it is flapping rather than cleanly down, the diagnosis leans toward network or overload, not a hard disk failure.

  6. Decide before 600 seconds. The cheapest action is “let it come back” if you suspect a network blip. The expensive action is “mark it out and recover” if the disk is dead. If you cannot decide in time, set noout to stop the clock and keep investigating. Do not set noout globally unless you mean it; a forgotten global noout prevents recovery cluster-wide.

flowchart TD
    A[ceph_osd_up = 0] --> B{Daemon process alive?}
    B -- No --> C{dmesg: OOM-kill?}
    C -- Yes --> D[Tune osd_memory_target, restart]
    C -- No --> E{OSD log: assert or suicide timeout?}
    E -- Yes --> F[Crash: inspect slow ops, RocksDB]
    E -- No --> G[Peer OSDs on host also down: host or net failure]
    B -- Yes --> H{SMART errors or dmesg EIO?}
    H -- Yes --> I[Disk failure: stop, mark out, replace]
    H -- No --> J{Other OSDs on host also down?}
    J -- Yes --> K[Host failure: power, NIC, switch]
    J -- No --> L{OSD_FLAPPING health check active?}
    L -- Yes --> M[Network: MTU, cluster-network, switch port]
    L -- No --> N[Slow disk overload: slow ops, deep-scrub, RocksDB]

Metrics and signals to monitor

SignalWhy it mattersWarning sign
ceph_osd_up per OSDDirect detection of the down eventTransition to 0
ceph_osd_in per OSDTells you whether OUT marking has happenedTransitions to 0 after 600s; stays 1 if noout is set
ceph_osd_flag_nooutIf set, recovery will not start for down OSDsSet for more than 24 hours without a maintenance ticket
ceph_health_detail{name="OSD_FLAPPING"}Discriminates flapping (network or overload) from clean-down (disk)Active
ceph_health_detail{name="OSD_DOWN"}Confirms the monitor’s viewActive with the specific OSD id in the message
ceph_pg_down, ceph_pg_incompleteThe actual data-availability verdictAny nonzero sustained more than 300s
ceph_osd_apply_latency_ms, ceph_osd_commit_latency_ms per OSDLeading indicator before a disk diesOne OSD greater than 5x cluster median for its device class
ceph_healthcheck_slow_opsDiscriminates “overloaded then died” from “suddenly died”Rising in the hour before the down event
ceph_pool_recovering_bytes_per_secTells you whether recovery has startedZero while ceph_pg_degraded is nonzero
Host RSS for the ceph-osd processDiscriminates OOM-killSteady climb toward the system ceiling
SMART reallocated and pending sectorsLeading indicator of disk failureNonzero and rising

Fixes

The fix depends on the cause. Do not restart the daemon as a first move: in-memory state goes away and you lose the ability to query the admin socket for ops-in-flight and bluefs stats while the OSD is still warm.

Disk failure

If SMART shows reallocated or pending sectors, or dmesg shows medium errors, the disk is dead or dying. Stop the OSD, mark it out (if noout is set, unset it for this OSD), and follow your disk-replacement procedure. These commands commit the OSD to replacement; run ceph osd safe-to-destroy osd.<id> first if you have any doubt.

# Destructive: commits the OSD to replacement
ceph osd out osd.<id>
systemctl stop ceph-osd@<id>
ceph osd destroy osd.<id> --yes-i-really-mean-it   # only when you are sure you will not reuse it as-is

Host crash

If peer OSDs on the same host went down at the same epoch, treat it as a host problem. The OSDs are not the incident. Check IPMI/iLO for power events, journalctl -b -1 for the previous boot, and the host’s network. The OSDs will come back when the host does. If mon_osd_down_out_interval fires first, recovery starts and you eat a backfill on the host’s return. Consider setting noout globally during the investigation if you expect the host back inside an hour, and unset it the moment the host is healthy.

Network loss or MTU mismatch

If the daemon is alive and the disk is healthy, and especially if OSD_FLAPPING is active, suspect the network. Verify MTU end to end with ping -M do -s 8972. A single misconfigured switch port will flap every OSD that talks through it. Check ip -s link show for input and output errors and /proc/net/snmp for rising TCPRetransSegs. Fix the underlying fault and the OSD stops flapping on its own.

OOM-kill

If dmesg shows the OOM-killer targeted the OSD, the host is over-subscribed. Lower osd_memory_target for the OSDs on the host, or add RAM. A one-off OOM during a recovery burst can be survived by systemctl start ceph-osd@<id>, but if it recurs you have a sizing problem, not a transient fault.

Suicide timeout (slow disk or RocksDB stall)

A suicide timeout means an operation thread was stuck long enough to trigger the watchdog. The OSD killed itself rather than stall indefinitely. The cause is almost always disk-side: an uncompacted OMAP, a BlueStore DB spillover event, or a deep-scrub running into bad media. While the daemon is down, the OSD log file still has the trace. Check historical monitoring captures or the OSD log for evidence of slow_used_bytes > 0 before the crash, since the admin socket is unavailable while the daemon is stopped. Check whether a deep-scrub was scheduled on the OSD. If BlueStore DB spillover is the cause, plan a ceph-bluestore-tool DB migration to a larger device before bringing the OSD back, or it will time out again.

Prevention

  • Alert on noout for more than 24 hours. Forgotten noout prevents recovery cluster-wide.
  • Alert on per-OSD latency outliers, not cluster averages. A dying disk drifts to 5x its device-class median for days before it dies; cluster averages hide that.
  • Monitor SMART with rate-of-change alerting. One old reallocated sector is noise; five new ones in a week is a failing disk.
  • Separate public and cluster networks. Heartbeat and recovery traffic should not share the client-facing NIC.
  • Verify MTU consistency after switch firmware upgrades. Mismatched MTU masquerades as disk failure via flapping.
  • Alert on rising slow ops before they become suicide timeouts. A sustained rise on one OSD in the hour before it dies is the precursor pattern.
  • Page on PG states, not on ceph_osd_up. ceph_pg_down and ceph_pg_incomplete are the actual availability verdict.

How Netdata helps

  • The Ceph collector exposes ceph_osd_up and ceph_osd_in per OSD with per-second resolution, so the exact second of the down transition and the transition to OUT roughly 600 seconds later are both visible on the same chart.
  • ceph_health_detail is scraped as a labelled gauge, so you can chart the moment OSD_DOWN and OSD_FLAPPING fire next to the OSD up/down signal. The discrimination between clean-down and flapping is visible at a glance.
  • Per-OSD ceph_osd_apply_latency_ms and ceph_osd_commit_latency_ms make the slow-disk precursor pattern visible hours before the OSD dies.
  • The ceph_osd_flag_noout metric lets you alert on the noout trap directly: ticket on noout == 1 for more than 24 hours without a maintenance window.
  • PG-state metrics (ceph_pg_down, ceph_pg_incomplete, ceph_pg_degraded with recovery-rate correlation) give you the actual data-availability verdict alongside the daemon-state signal, so you can decide TICKET versus PAGE on the same dashboard.
  • Host-level disk and memory collectors on the OSD host put block-device latency, OOM events, and process RSS next to the Ceph metrics, so OOM-kill and disk-failure causes are separable without switching tools.