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 / lvm / lvm-pvmove-stuck-or-interrupted ▌

Operations Guides

LVM pvmove stuck or interrupted: temporary mirror state and how to unwind it

You ran pvmove to drain a disk, it has been running for hours, and now something is wrong. Maybe the SSH session died, maybe the host rebooted, maybe someone killed the process. Now lvs shows a mirror LV you never created, and every LVM command against the volume group feels slow or blocked.

This is the pvmove temporary mirror state. It is recoverable in almost every case, but only if you unwind it the way LVM expects: resume it with a bare pvmove, or abort it with pvmove --abort. The one move that turns a tedious situation into a bad one is kill -9 on the pvmove process, or worse, deleting the mirror LV by hand.

What this means

pvmove does not copy extents directly from one PV to another. It creates a temporary internal mirror LV (conventionally named pvmove0), inserts mirror segments in front of the data being moved, syncs one segment at a time, then breaks the mirror and checkpoints the metadata. It repeats this until all extents have been relocated. On large volumes this runs for hours and holds the VG lock for much of that time, which is why unrelated lvs/vgs/pvs calls can stall while it runs.

Two observable markers tell you a migration is in progress or was interrupted:

  • A pvmove0 LV appears in lvs -a output, looking exactly like a mirror you did not create.
  • lv_attr position 1 shows p on the affected LVs, indicating pvmove-type volume (migration in progress).

If pvmove exits cleanly, both disappear. If pvmove is interrupted (crash, reboot, kill, OOM), the temporary mirror persists in the VG metadata and the kernel keeps using it. The system is usually still serving I/O correctly at this point. The mirror is functional; it is just unfinished business that blocks the source PV from being removed and confuses anyone reading lvs output later.

stateDiagram-v2
    [*] --> Normal: LVs on source PV
    Normal --> Migrating: pvmove started
    Migrating --> Normal: completed, mirror torn down
    Migrating --> Interrupted: crash, reboot, kill
    Interrupted --> Migrating: pvmove (no args) resumes from checkpoint
    Interrupted --> RolledBack: pvmove --abort
    RolledBack --> Normal: unmoved segments stay on source
    Normal --> [*]: source PV removable

Common causes

CauseWhat it looks likeFirst thing to check
Session or process deathpvmove0 present, no pvmove process running, lv_attr shows pps aux | grep pvmove
Host reboot or crash mid-movepvmove0 present after boot, migration checkpointed partwaylvs -a -o lv_name,lv_attr,copy_percent
Operator killed pvmove with kill -9Same as above, plus possible stale lock filesls -la /run/lock/lvm/
pvmove genuinely stalled on slow or erroring diskpvmove process alive, copy_percent not advancing, I/O errors in dmesgdmesg | tail -50
Kernel or dm-mirror fault during moveHost panicked or hung; after recovery pvmove0 may be in inconsistent statedmsetup status, kernel logs
Missing dm-mirror targetpvmove refuses to start: “Required device-mapper target(s) not detected in your kernel”lsmod | grep dm_mirror

Quick checks

All read-only. Prefer dmsetup when LVM commands feel slow: it reads kernel state directly and does not take LVM metadata locks or scan devices.

# Find the temporary mirror and migration state
lvs -a -o lv_name,vg_name,lv_attr,copy_percent,seg_pe_ranges

# Confirm the pvmove attribute flag (position 1 = 'p')
lvs -o lv_name,vg_name,lv_attr

# Check which PV is the source of an in-flight move
lvs -a -o lv_name,vg_name,lv_attr,move_pv,copy_percent

# Is a pvmove process actually alive?
ps aux | grep -v grep | grep pvmove

# Kernel-side view without LVM locks
dmsetup status
dmsetup info -c -o name,suspended,open

# Who holds the VG lock?
ls -la /run/lock/lvm/
fuser /run/lock/lvm/* 2>/dev/null

# Underlying disk trouble on source or target?
dmesg | grep -iE 'I/O error|reset|offline' | tail -50

# dm-mirror target available?
lsmod | grep dm_mirror

How to diagnose it

  1. Confirm you are looking at pvmove state, not a real mirror problem. The combination of a pvmove0 LV and p in lv_attr position 1 is the distinguishing signal. A mirror LV with a different name and no p flag is a different incident (see the mirror/RAID sync signal in the LVM mental model).

  2. Determine whether the move is live or orphaned. If a pvmove process is running and copy_percent advances between samples taken a few minutes apart, the move is alive. Let it run or plan an abort; do not interrupt it. If no process exists and the state survived a reboot, it is orphaned and waiting for you to resume or abort.

  3. Check progress and pace. lvs -o lv_name,copy_percent on the pvmove LV. A copy_percent that has not moved in an hour, with a live process, means the source or target disk is slow or erroring. Check dmesg before assuming LVM is the problem.

  4. Check I/O impact on production. pvmove mirrors writes while syncing, so write latency on affected LVs rises during the move. Correlate dm device latency on the source and target PVs against your baseline before deciding to abort for performance reasons. Aborting a move that is 95% done because of latency complaints usually costs more than letting it finish.

  5. Check for lock fallout. If the VG lock seems stuck and the holding PID no longer exists, you may have a stale lock file in /run/lock/lvm/. Confirm the process is truly gone before removing anything.

  6. Decide: resume or abort. Resume when the goal (drain the source PV) still stands and the target disk is healthy. Abort when the target PV is failing, the move was a mistake, or you need the VG lock and I/O bandwidth back urgently.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
pvmove0 presence and copy_percentTracks migration progress and confirms completionLV persists with no pvmove process running
lv_attr position 1Distinguishes pvmove state from unrelated mirror issuesp flag surviving a reboot
dm device latency on source/target PVsThe move competes with production I/OSustained 2x or more above baseline
D-state process count on dm devicesEarly indicator that mirror I/O is hangingCount growing over minutes
LVM command execution timepvmove holds the VG lock; monitoring via lvs/vgs can stalltime vgs over 10 seconds
Kernel I/O errors (dmesg) on source/targetA dying target disk will stall or corrupt the moveAny errors against either PV mid-move

Fixes

Resume an interrupted move

Run pvmove with no PV arguments. It restarts any in-progress operations from the last metadata checkpoint:

# Resume all interrupted pvmove operations in progress
pvmove

This is the default correct action after a reboot or session death when you still want the data off the source PV. Moved segments stay moved; the operation continues from where the metadata says it stopped.

Abort the move

# Abort all in-progress pvmove operations
pvmove --abort

Without --atomic, abort is not a rollback: segments already moved stay on the destination PV, unmoved segments stay on the source. Your LVs end up split across both PVs, which is functionally fine but means the source PV is not drained. If you started pvmove with --atomic, an abort leaves all affected LVs entirely on the source PV, which is the clean “pretend it never happened” outcome. --atomic must be specified when you start the move, not retroactively.

One operational caveat: there are longstanding reports of pvmove --abort hanging and only completing after a reboot. If abort appears stuck, confirm with dmsetup status whether mirror sync activity is actually progressing before assuming it is dead.

Never kill -9, and what to do if someone already did

kill -9 leaves the mirror running in the kernel with no userspace process managing it. The recovery is the same as any other interruption: run bare pvmove to resume, or pvmove --abort to unwind. Do not lvremove the pvmove0 LV and do not hand-edit the dm table. Both risk leaving LVs pointing at extents LVM no longer tracks.

Abort worked, but re-running pvmove fails with “Insufficient free space”

A known trap: after an abort, re-running the move can fail with an extents-needed-versus-available error even when the destination PV shows exactly enough free extents. The usual cause is allocation policy: an LV split into multiple segments (from a previous resize) cannot place two segments on the same PV under the normal allocation policy. The workaround is:

# Relax allocation policy for the move
pvmove --alloc anywhere /dev/sdX /dev/sdY

RAID LVs showing “refresh needed” after the move

After pvmove on RAID LVs, a leg can report lv_health_status of r (refresh needed), and lvconvert --repair may fail with insufficient-space errors because of stale references left by the move. The fix is:

# Refresh the affected LV
lvchange --refresh <vg>/<lv>

pvmove refuses to start: missing dm-mirror target

If pvmove fails with “Required device-mapper target(s) not detected in your kernel”, the dm-mirror module is not loaded:

# Load the mirror target
modprobe dm-mirror

Kernel-level crashes during pvmove

There are documented kernel faults triggered during pvmove, including a NULL pointer dereference in dm-mirror’s mirror_merge on RHEL 7.9 kernels later than 3.10.0-1160.10.1.el7, and a separate report involving the mq_deadline I/O scheduler on kernel 5.5.8. In the worst of these cases the pvmove0 LV is left in a state where neither resume nor --abort works. Manual recovery (deactivating, removing the pvmove LV, restoring VG metadata from /etc/lvm/archive/ via vgcfgrestore) has been described in field reports but is destructive-adjacent and version-specific. Treat this as a “restore from metadata backup, then verify data” scenario, and check your kernel against known pvmove issues before moving large volumes on older distributions.

Prevention

  • Watch it while it runs. pvmove can run for hours holding the VG lock and adding mirror write overhead. Track copy_percent and source/target PV latency for the duration instead of starting it and walking away.
  • Use --atomic when partial placement is unacceptable. If an abort must leave everything on the source, atomic is the only way to get that guarantee.
  • Bound the rework with segment sizing. The allocation/pvmove_max_segment_size_mb setting in lvm.conf caps how much data is mirrored in a single operation (0 means no limit). A non-zero value limits how much work is lost or must be redone after an interruption. The default value is 0 (no limit), per pvmove(8).
  • Verify the target before you start. Check dmesg for errors on the destination PV and confirm dm-mirror is loaded. Moving onto a failing disk converts a maintenance task into an incident.
  • Plan for the lock. Schedule large moves in a window where stalled LVM commands and elevated write latency are tolerable, and use dmsetup status rather than lvs for high-frequency progress checks during the move.

How Netdata helps

  • Per-disk and per-dm-device I/O latency and throughput, per second, so you can see the mirror write overhead of an active pvmove on source and target PVs and tell “slow because syncing” apart from “slow because the disk is dying.”
  • Block device error and reset signals surfaced alongside the latency view, which is the corroboration you need before aborting a move against a suspect target PV.
  • D-state process visibility, so a mirror stall shows up as accumulating uninterruptible processes before the system feels hung.
  • Historical baselines for the affected devices, letting you quantify “2x normal latency” instead of guessing from the incident itself.
  • Alerting that keeps working when LVM commands stall: Netdata reads kernel counters directly, so it does not go blind behind the VG lock the way an lvs-polling script does.