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-large-omap-objects

Operations Guides

Ceph LARGE_OMAP_OBJECTS: the RGW bucket-index OMAP storm and resharding

The LARGE_OMAP_OBJECTS health warning fires when a deep scrub finds a RADOS object carrying more OMAP keys than the configured threshold. On clusters running the RADOS Gateway (RGW), the most common trigger is the bucket-index shard: a single shard that has accumulated too many entries because a bucket holds millions of objects with too few index shards.

Once a shard crosses the threshold, the symptoms cluster around two areas. RGW clients see slow LIST responses and slow multipart coordination on the affected bucket. The OSD hosting the shard shows elevated commit latency, slow ops, and in the worst case BlueStore RocksDB pressure that resembles a compaction stall. The OSD usually remains up+in, so cluster-level health stays at WARN rather than ERR, which makes the problem easy to overlook until a user complains about a stuck ListObjects call.

The structural fix is resharding: increasing the number of index objects so per-shard OMAP stays within the threshold. Ceph has dynamic resharding (rgw_dynamic_resharding, on by default since Luminous) but it can stall, fail silently, or be unavailable in multisite configurations prior to Reef.

What this means

The warning is emitted by the OSD during deep scrub when it finds an OMAP object exceeding either osd_deep_scrub_large_omap_object_key_threshold (default 200,000 keys) or osd_deep_scrub_large_omap_object_value_sum_threshold (default 1 GB). The check is structural: it fires whenever the threshold is crossed during a scrub pass, regardless of whether the OMAP is being actively read or written.

The OMAP is RocksDB-backed in BlueStore. Bucket-index entries are OMAP keys on RADOS objects in the .rgw.buckets.index pool (or whatever the deployment names the index pool). Each object key in the bucket adds an OMAP key on the shard that owns it. With 11 default shards and a bucket holding tens of millions of objects, individual shards routinely cross the threshold.

Every operation that scans or modifies the oversized OMAP pays an increasing cost: bucket LIST, multipart upload coordination, GC metadata updates, and multisite sync. The OSD hosting the shard also feels the load because BlueStore must maintain the RocksDB structure backing the OMAP, which can push RocksDB past the DB device and into BlueStore DB spillover.

flowchart TD
    A[Bucket grows to millions of objects] --> B[Too few index shards]
    B --> C[Each shard accumulates OMAP keys]
    C --> D[Deep scrub finds OMAP greater than 200k keys]
    D --> E[LARGE_OMAP_OBJECTS health warning]
    C --> F[RGW LIST latency rises]
    C --> G[OSD commit latency rises on hosting shard]
    G --> H[RocksDB pressure and possible DB spillover]

Common causes

CauseWhat it looks likeFirst thing to check
Bucket with too few shards for object countradosgw-admin bucket stats shows 1 shard or fewer than 16 shards with millions of objectsradosgw-admin bucket limit check
Dynamic resharding disabled or stalledradosgw-admin reshard list is empty or shows stuck entriesrgw_dynamic_resharding config and radosgw-admin reshard status
Multisite deployment on a pre-Reef versionReshard queue never populates on a multisite clusterVerify Ceph version and zone topology
Stale bucket instances from prior reshardingIndex pool contains orphan bucket instances with continuing OMAP growthradosgw-admin reshard stale-instances list
Aborted dynamic reshard left index-object garbageAborted reshard creates index objects that are never cleaned upInspect index pool with rados -p <pool> ls

Quick checks

# Confirm health warning and read the message
ceph health detail | grep -A3 LARGE_OMAP_OBJECTS

# Per-OSD commit latency to find the OSD hosting the hot shard
ceph osd perf

# Show RGW reshard queue
radosgw-admin reshard list

# Bucket stats including shard count and per-shard object counts
radosgw-admin bucket stats --bucket=<bucket-name>

# Bucket limit check across all buckets
radosgw-admin bucket limit check

# Stale bucket instance entries (primarily pre-Mimic 13.2.5 clusters)
radosgw-admin reshard stale-instances list

# BlueFS slow device usage on suspected OSDs (DB spillover check)
ceph daemon osd.<id> bluefs stats

# Reshard status for a specific bucket
radosgw-admin reshard status --bucket=<bucket-name>

How to diagnose it

  1. Confirm the warning is OMAP-driven and identify the affected RADOS object. ceph health detail lists the PG. The offending object is in the bucket-index pool.

  2. Identify the bucket whose index lives on that PG. List index objects with rados -p <index-pool> ls, then map shard object names back to bucket names using radosgw-admin bucket stats --bucket=<name> until you find the matching shard ID.

  3. Establish whether the bucket is over the reshard threshold. Rule of thumb: each shard should hold roughly 100,000 objects (recommended maximum around 102,400). A bucket with 10 million objects needs at least 50 to 100 shards.

  4. Check resharding status. radosgw-admin reshard list shows pending entries. radosgw-admin reshard status --bucket=<name> shows the state of a specific bucket’s reshard process. A non-empty list that never drains indicates a stalled process.

  5. Correlate with OSD performance. ceph osd perf shows commit and apply latency per OSD. The OSD hosting the hot shard typically shows a latency outlier versus peers on the same device class. A single outlier in a uniform tier is a strong signal.

  6. Check BlueStore for spillover. If OMAP growth has pushed RocksDB past the DB device, you will see nonzero slow_used_bytes in ceph daemon osd.<id> bluefs stats. This is a separate but related failure mode covered in the Ceph BLUEFS_SPILLOVER guide.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
ceph_health_detail{name="LARGE_OMAP_OBJECTS"}Direct detection of oversized OMAPActive value 1
ceph_osd_commit_latency_ms per OSDHosting OSD shows elevated commit latencyOutlier greater than 5x cluster median for the same device class
ceph_osd_apply_latency_ms per OSDConfirms whether the issue is local device or replicationOutlier correlated with commit latency
ceph_healthcheck_slow_opsStuck I/O on the hosting OSDSustained nonzero value
ceph_rgw_req and ceph_rgw_failed_reqRGW latency and request rate baselineFailed request rate climbing
ceph_rgw_qlen, ceph_rgw_qactiveRGW queue pressureQueue length disproportionate to request rate
BlueStore slow_used_bytesRocksDB spillover onto the slow deviceNonzero
Per-bucket object count vs shard countLeading indicator before OMAP threshold is crossedShard count less than objects divided by 100,000

Fixes

Allow dynamic resharding to run

If rgw_dynamic_resharding is false, set it to true and restart RGW daemons. By default the background scanner triggers a reshard when a bucket exceeds rgw_max_objs_per_shard (default 100,000 objects per shard). The scanner detects the condition and schedules a reshard entry.

# Process any pending reshard entries now
radosgw-admin reshard process

# Confirm state for a specific bucket
radosgw-admin reshard status --bucket=<bucket-name>

Tradeoff: dynamic resharding briefly locks the bucket during index rebuild. Schedule during low-traffic periods for high-traffic buckets. On multisite deployments, dynamic resharding is supported only on Reef and later. On earlier versions in multisite, manual resharding is the only path.

Manually trigger resharding

For buckets where dynamic resharding is unavailable (multisite pre-Reef) or stalled, run manual resharding.

# Destructive: rewrites the bucket index. Validate object counts first,
# snapshot the index pool if feasible, and test on a non-production
# bucket if you have never run this command. In-flight writes to the
# bucket during reshard can produce index inconsistency.
radosgw-admin bucket reshard --bucket=<bucket-name> --num-shards=<N>

Choose <N> based on expected steady-state object count. Plan for roughly 100,000 objects per shard. Note that rgw_max_dynamic_shards (default 1999) caps dynamic resharding but does not limit manual resharding. For very large buckets, manual resharding can take significant wall time and should be scheduled accordingly.

On multisite, manual resharding must be coordinated across zones and run on the master zone. The new bucket instance needs to propagate before old instances can be cleaned up.

Clean up stale bucket instances

On clusters prior to Luminous 12.2.11 or Mimic 13.2.5, resharding left stale bucket instance entries in the index pool. These accumulate OMAP keys independently and can re-trigger LARGE_OMAP_OBJECTS even after the live bucket has been resharded.

# List stale instances
radosgw-admin reshard stale-instances list

# Delete them
radosgw-admin reshard stale-instances delete

For multisite deployments where deleted buckets leave bilog entries behind, you may also need to trim the bilog before the warning clears. Run radosgw-admin bilog trim --bucket=<bucket-name> --bucket-id=<bucket-id> followed by a deep scrub on the affected PG.

Address BlueStore DB spillover separately

If slow_used_bytes is nonzero on the hosting OSD, resharding reduces future OMAP growth but does not reclaim already-spilled RocksDB data. Plan a DB partition migration using ceph-bluestore-tool, which requires OSD downtime. Resharding first prevents the spill from recurring immediately after the migration.

Restore lifecycle policies on older clusters

On clusters prior to Mimic 13.2.6 or Luminous 12.2.12, lifecycle policies could stop applying to a resharded bucket. If you reshard on an older cluster and lifecycle rules are in use, run the lifecycle reshard fix afterward.

radosgw-admin lc reshard fix --bucket=<bucket-name>

Prevention

  • Pre-shard buckets at creation when object counts are known. Set rgw_override_bucket_index_max_shards in simple deployments or bucket_index_max_shards in zonegroup config. The default for new buckets is 11 shards, which is too few for any bucket expected to grow past roughly one million objects. Pre-sharded buckets show more deterministic performance than relying on dynamic resharding after the fact.
  • Keep rgw_dynamic_resharding enabled unless you are on a multisite version that does not support it. Verify periodically that the reshard queue is draining.
  • Monitor per-bucket object count versus shard count. Alert when a bucket approaches the per-shard threshold. The rule of thumb is roughly 100,000 objects per shard.
  • Tune rgw_max_objs_per_shard if your workload regularly produces buckets that grow past the default. Lowering the threshold makes dynamic resharding trigger sooner, at the cost of more frequent reshard events.
  • On multisite, upgrade to Reef or later to enable dynamic resharding support. Without that, every large bucket requires manual reshard coordination.
  • Schedule periodic stale-instance sweeps on older clusters. radosgw-admin reshard stale-instances list should be part of routine maintenance on pre-Mimic 13.2.5 deployments.
  • Size BlueStore DB partitions for OMAP workload. RGW-heavy clusters need larger DB partitions than the typical sizing guides suggest. Approximately 4 to 5 percent of the data partition is a starting point. More is required for heavy RGW deployments.
  • Add AbortIncompleteMultipartUpload to lifecycle policies. Incomplete multipart uploads contribute to OMAP growth on the index shard, not just data pool consumption.

How Netdata helps

  • The Ceph collector surfaces ceph_health_detail{name="LARGE_OMAP_OBJECTS"} as a labeled gauge, so you can alert on the specific check rather than the umbrella HEALTH_WARN that lumps it in with every other warning.
  • Per-second ceph_osd_commit_latency_ms and ceph_osd_apply_latency_ms per OSD let you spot the hosting OSD as a latency outlier before users complain about slow LISTs.
  • ceph_rgw_req, ceph_rgw_failed_req, ceph_rgw_qlen, and ceph_rgw_qactive give the RGW-side view to correlate client impact with backend OMAP pressure.
  • ceph_healthcheck_slow_ops provides the bridge signal: when it spikes alongside the OMAP warning, you can confirm that the oversized shard is actively blocking I/O rather than just being structurally over threshold.
  • ML-based anomaly detection on per-OSD commit latency catches the slow drift of RocksDB pressure building under a hot bucket-index shard, often before the next deep scrub runs and the health warning fires.
  • Correlating LARGE_OMAP_OBJECTS onset with OSD latency spikes in the same window shortens diagnosis from “vague cluster slowdown” to “this specific bucket, this specific shard, this specific OSD”.