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-mon-down

Operations Guides

Ceph MON_DOWN: a monitor out of quorum and reduced redundancy

MON_DOWN fires when one or more monitor daemons are not part of the active quorum. The common case is a 3-monitor cluster with one monitor gone: quorum still holds with 2 of 3, but the cluster has lost redundancy and tolerates zero further monitor loss before consensus collapses. The Prometheus Ceph mixin surfaces this as CephMonDown (warning) and escalates to CephMonDownQuorumAtRisk (critical) when the number of down monitors equals the minimum quorum count.

Client I/O is typically unaffected because clients operate against cached cluster maps, but the cluster can no longer accept map updates safely if one more monitor fails, and any topology change (OSD flap, recovery, weight change) is one Paxos failure away from stalling.

The playbook treats this as a TICKET when at least one monitor is out of quorum but the majority still holds, sustained for more than 300 seconds. Quorum loss itself is the PAGE condition. This article covers the TICKET case: reduced redundancy with quorum intact.

What this means

Ceph monitors maintain cluster maps (OSD map, MON map, CRUSH map, PG map, MDS map) through Paxos consensus. A strict majority of provisioned monitors must participate for any map update to commit. With 3 monitors you need 2 in quorum; with 5 you need 3. MONs are not in the data path, but they are the source of truth that every client and OSD consults to learn where data lives.

When one monitor drops out, the surviving majority continues to operate. Reads and writes to OSDs proceed using cached maps. What changes is fault tolerance:

  • 3-MON cluster, 1 down: 2 of 3 in quorum. Quorum holds. One more monitor failure loses quorum. Zero fault tolerance remaining.
  • 5-MON cluster, 1 down: 4 of 5 in quorum. Two more failures would lose quorum. Reduced but not critical.
  • 5-MON cluster, 2 down: 3 of 5 in quorum. One more failure loses quorum.

MON_DOWN sustained is not a data-loss signal. It is a redundancy signal. The cost of leaving it unfixed is that the next unrelated monitor problem (host reboot, network blip, disk fill) takes the whole cluster’s control plane down. Treat it as same-shift work.

flowchart TD
  A["MON_DOWN health check fires"] --> B{"Quorum still held?
sum(in_quorum) >= floor(n/2)+1"} B -- Yes --> C["TICKET: reduced redundancy
investigate the out-of-quorum MON"] B -- No --> D["PAGE: quorum lost
cluster cannot commit map updates"] C --> E{"MON daemon running?"} E -- No --> F["Check host, disk, systemd unit"] E -- Yes --> G["Check clock skew,
MON store, network"] F --> H["Restore MON
verify ceph_mon_quorum_status = 1"] G --> H

Common causes

CauseWhat it looks likeFirst thing to check
MON daemon stopped or crashedDaemon absent from quorum_names; systemd unit inactive or restart-looping; recent core dump or log FATALsystemctl status for the ceph-mon unit on the affected host
Clock skew beyond mon_clock_drift_allowedMON_CLOCK_SKEW health check active; the out-of-quorum MON is in probing or electing; chrony/ntpd offset driftchronyc tracking on each MON host
MON host disk full or failingMON_DISK_LOW (30% free) or MON_DISK_CRIT (5% free) firing; slow fsyncs; Caught signal (Bus error) in MON logdf and iostat on the MON data device
Network partition between MON hostsMON in probing indefinitely; ping between MON hosts shows packet loss or high latency; quorum reforms when network healsNetwork reachability between MON hosts on the MON network
Bloated MON store slowing electionsceph daemon mon.X perf dump shows large store; Paxos commit latency elevated; elections slowdu -sh on the MON store directory and ceph daemon mon.X compact
False positive on freshly added MONNew MON added, immediately reported down, no other symptomsCeph version; fixed by PR #66328 (Dec 2025) and backported to Squid and Tentacle, not Reef

Quick checks

Run these read-only. None mutate cluster state.

# Cluster status: confirm MON_DOWN and see which checks fire alongside it
ceph health detail

# Quorum membership: which MONs are in, who is leader, election epoch
ceph quorum_status -f json | jq '{epoch: .election_epoch, quorum: .quorum_names, leader: .quorum_leader_name}'

# Per-MON status from the admin socket of the suspect daemon
ceph tell mon.<id> mon_status

# MON map: provisioned vs quorum sets
ceph mon dump

# Time sync health cluster-wide
ceph time-sync-status

# Clock source on each MON host
chronyc tracking    # or: ntpq -p

On the affected MON host:

# Find the correct systemd unit (Quincy+ units include the cluster fsid)
systemctl -l | grep ceph-mon | grep active

# MON daemon runtime status (local admin socket; works even if MON is out of quorum)
ceph daemon mon.<id> mon_status

# Disk space on the MON data device
df -h /var/lib/ceph/mon/ceph-<id>

# Store size on disk
du -sh /var/lib/ceph/mon/ceph-<id>/store.db

# Recent MON log lines for crashes or election failures
journalctl -u ceph-mon@<id> --since "30 min ago" | tail -100

The quorum array in ceph quorum_status is a list of ranks. A missing rank means that monitor is out of quorum. The state reported by ceph tell mon.X mon_status for an out-of-quorum monitor is typically probing, electing, or synchronizing.

How to diagnose it

  1. Confirm which monitor is out. Cross-reference ceph health detail, ceph mon dump, and ceph quorum_status. Note the election epoch: if it is climbing rapidly, you have an election storm, not a single down monitor.

  2. Verify the daemon is running on its host. On Quincy and later the unit name includes the cluster fsid, so systemctl status ceph-mon@<id> alone may not resolve; use systemctl -l | grep ceph-mon. If the unit is inactive or failed, that is your root cause path.

  3. Check clock sync. This is the single most common cause of mysterious monitor problems. Paxos depends on tight time synchronization, and the default mon_clock_drift_allowed is only 0.05 seconds. Run ceph time-sync-status cluster-wide and chronyc tracking (or ntpq -p) on each MON host. If MON_CLOCK_SKEW is active alongside MON_DOWN, fix time sync first.

  4. Check the MON data device. The monitor writes every committed map update synchronously to its RocksDB store. A slow or full disk causes fsync stalls, election timeouts, and eventually the monitor dropping out. Look for MON_DISK_LOW (30% free) or MON_DISK_CRIT (5% free) in ceph health detail. Confirm with df and iostat -x 1 on the MON data device. A full monitor filesystem can crash the daemon with Caught signal (Bus error). Do not manually delete files from the MON data directory; use ceph-monstore-tool or the admin socket compaction command.

  5. Check network reachability between MON hosts. Monitors must reach each other on the MON network. A partition where the daemon is running but isolated produces a monitor stuck in probing. Ping and a TCP check on the MON port between every pair of MON hosts will surface this.

  6. Check the MON store size and Paxos latency. A bloated store slows startup and elections. ceph daemon mon.<id> perf dump exposes Paxos commit_latency and accept_latency. du -sh /var/lib/ceph/mon/ceph-<id>/store.db shows the on-disk size. Healthy clusters usually keep this under a few GB; growth faster than 100 MB/day suggests excessive OSD map churn, often from flapping OSDs.

  7. Check for the freshly-added-monitor false positive. If the down monitor was just added, you may be hitting the known bug where first-boot monitors report MON_DOWN (tracker #73934). The fix (PR #66328) landed in main on 2025-12-02 and was backported to Squid (2026-04-07) and Tentacle (2026-07-17); it is not backported to Reef. If this is the case, the monitor is healthy; upgrade or wait out the bootstrap.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
ceph_mon_quorum_status (per ceph_daemon)Direct membership in quorum; 1 = in, 0 = outAny value of 0 sustained > 300s
ceph_health_detail{name="MON_DOWN"}The check itself; value 1 = activeActive for > 300s
ceph_health_detail{name="MON_CLOCK_SKEW"}Leading cause of monitor election problemsActive for > 60s
ceph_health_detail{name="MON_DISK_LOW"} or MON_DISK_CRITMON data device filling upActive at all; MON_DISK_CRIT is urgent
Election epoch rateStability of leadershipClimbing multiple times per minute
Paxos commit_latency (admin socket)How fast map updates commitSustained > 500 ms
MON store size on diskBloated store slows startup and electionsGrowth > 100 MB/day or absolute size > 10 GB
NTP/chrony offset on MON hostsUnderlying clock healthDrift approaching 50 ms

There is no dedicated Prometheus metric for clock skew from the MGR module; rely on ceph_health_detail{name="MON_CLOCK_SKEW"} and the time-sync check, plus NTP/chrony offset metrics scraped from the MON hosts themselves. MON store size is likewise not in the standard Prometheus pipeline; monitor it with a host-level check on the MON data directory.

Fixes

MON daemon stopped or crashed

Restart the daemon on the affected host using the correct systemd unit. On Quincy+ the unit name includes the cluster fsid, so find it first:

# Identify the correct unit
systemctl -l | grep ceph-mon | grep active

# Start the unit (name varies by deployment)
sudo systemctl start <unit>

Then watch the election epoch and ceph quorum_status until the monitor rejoins. If the daemon crash-loops, read the MON log. Caught signal (Bus error) points to a full or failing MON data device. Do not delete files manually from the MON data directory; use ceph-monstore-tool to compact a corrupted or bloated store.

Clock skew

Fix the underlying time sync; do not widen mon_clock_drift_allowed. The default of 0.05 seconds is tight for good reasons. Steps:

  1. Confirm NTP/chrony is running on every MON host: systemctl status chronyd (or ntpd).
  2. Check that the configured time source is reachable: chronyc sources.
  3. Verify the offset is small and stable: chronyc tracking.
  4. On virtualized MON hosts, verify the hypervisor clock source and any guest agent. VMs are notorious for clock drift, especially after live migration.

Once clocks stabilize, MON_CLOCK_SKEW clears and the out-of-quorum monitor should rejoin on the next election.

MON host disk full or failing

Free space on the MON data device. Common sources of consumption:

  • The MON store itself, if it has grown large. Trigger compaction:
    ceph daemon mon.<id> compact
    
    If the problem persists after compaction, set mon_compact_on_start (default false) to true and restart the monitor. Persistent growth may indicate a bug preventing metadata pruning, or excessive OSD map churn from flapping OSDs.
  • Unrelated log files or crash dumps on the same filesystem.
  • A failing device producing slow fsyncs. Check SMART and iostat.

If the device is failing, plan to migrate the MON data directory to a healthy device. SSD-backed MON stores are strongly recommended; HDD-backed stores slow elections and recovery.

Network partition

Heal the underlying connectivity. If a monitor host is reachable on the public network but isolated from peers on the MON network, it will stay in probing. Confirm port reachability between every pair of MON hosts. If the partition is sustained and you need to restore quorum urgently, you can stop the isolated monitor’s daemon so the surviving majority stops waiting on it, then bring it back once the network is healthy.

Bloated MON store

Compact the store as above. If compaction does not help and the store continues to grow, the root cause is usually upstream: OSD flapping generating rapid OSD map epochs. Address the flapping first. See the related guide on OSD flapping.

Prevention

  • Run at least 3 monitors across 3 failure domains. 5 is better for larger or geographically distributed clusters. A 3-MON cluster tolerates one monitor loss; a 5-MON cluster tolerates two.
  • Put MON data on SSD. HDD-backed MON stores slow elections and extend recovery after a daemon restart.
  • Keep NTP/chrony healthy on MON hosts. Monitor the offset. The 0.05 second mon_clock_drift_allowed default is unforgiving on drifting VMs.
  • Watch the MON data device free space. Alert on MON_DISK_LOW (30%) before it becomes MON_DISK_CRIT (5%).
  • Track MON store growth. A custom host check on du -sh /var/lib/ceph/mon/ceph-<id>/store.db catches bloat before it slows elections.
  • Track election epoch rate. Even when quorum holds, frequent elections indicate instability that will eventually drop a monitor.
  • Upgrade to a fixed release if you are adding monitors on an affected version, to avoid the false MON_DOWN on freshly added monitors. Fixed builds: a Squid point release containing the 2026-04-07 backport (PR #67324), or Tentacle (PR #67323).

How Netdata helps

  • The Ceph collector surfaces ceph_mon_quorum_status per ceph_daemon, so the exact monitor that dropped out is visible at per-second resolution rather than only when ceph health detail happens to run.
  • ceph_health_detail exposes MON_DOWN, MON_CLOCK_SKEW, MON_DISK_LOW, and MON_DISK_CRIT as labeled gauges, letting you correlate the down monitor with the health checks firing alongside it. Clock skew and a down monitor appearing together is a different diagnosis than a crashed daemon.
  • Host-level metrics on the MON nodes (disk utilization, disk latency, chrony offset, network errors) align with the per-monitor quorum status, so a slow MON data device or drifting clock is visible in the same window as the MON_DOWN event.
  • Sustained-condition alerting (the playbook’s > 300 second threshold for MON_DOWN) avoids paging on brief election flaps during normal maintenance while still escalating real quorum risk.