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-cannot-extend-logical-volume ▌

Operations Guides

LVM cannot extend a logical volume: adding a PV when the VG is full

You ran lvextend and it refused with some variation of “insufficient free space” or “insufficient free extents,” while the filesystem that prompted all this sits at 99% and application writes fail. The fix is mechanical once you know which of three independent constraints is actually blocking you.

The trap is that “no space” means three different things in an LVM stack. The filesystem can be full while the LV has room. The VG can be out of free extents while every filesystem looks fine. A thin pool can be 100% full while the VG reports free space. Each constraint has a different remediation, and running the wrong one either does nothing or makes the incident worse.

This guide covers identifying which constraint you hit, the full remediation chain for a genuinely full VG (pvcreate, vgextend, lvextend, then grow the filesystem), and the allocation policy edge cases that block extension even when free space appears to exist.

What this means

lvextend allocates Physical Extents (PEs, default 4 MiB chunks) from the VG’s free pool and appends them to the LV’s segment map. It fails when the VG has zero or insufficient free extents, or when allocation policy rules prevent it from using free extents that do exist. Growing the LV does not grow the filesystem on top of it: they are separate layers, and “filesystem full” and “LV cannot extend” are independent failures that usually arrive together.

flowchart TD
  A[lvextend fails or filesystem at 100%] --> B{Filesystem full but LV has room?}
  B -- yes --> C[resize2fs or xfs_growfs only]
  B -- no --> D{VG free extents available?}
  D -- yes --> E{Thin LV and pool at 100%?}
  E -- yes --> F[Extend the thin pool LV]
  E -- no --> G[Check allocation policy and PV allocatable flag]
  D -- no --> H[pvcreate new device, vgextend, then lvextend]

Decide which branch you are on before touching anything. The quick checks below get you there in under a minute.

Common causes

CauseWhat it looks likeFirst thing to check
VG is out of free extentslvextend reports insufficient free space; vgs shows vg_free at or near zerovgs -o vg_name,vg_size,vg_free
Filesystem full, LV not extended yetdf at 100%, but VG has free spaceCompare lvs LV size to df size
Thin pool data exhaustedAll thin LVs in the pool stall or error; lvs shows data_percent at 100lvs -o lv_name,data_percent,metadata_percent
Thin pool metadata exhaustedPool may show M or F in health attr even with data space freelvs -o lv_name,metadata_percent,lv_attr
Free space exists but allocation policy blocks it“Insufficient suitable allocatable extents” despite vg_free > 0lvs -o lv_name,lv_attr,seg_pe_ranges and pvs -o pv_name,pv_free
Underlying device enlarged but PV not resizedDisk is bigger, VG free unchangedCompare block device size to pvs pv_size
Striped LV needs extents on multiple PVsVG has free space but all on one PVpvs -o pv_name,pv_free per-PV distribution

Quick checks

All read-only and safe to run during an incident.

# Filesystem layer: which constraint is binding
df -h | grep -E 'mapper|Filesystem'

# Current LV sizes and (for thin) pool usage
lvs -o lv_name,vg_name,lv_size,lv_attr,data_percent,metadata_percent

# VG free space: decides whether lvextend can work at all
vgs -o vg_name,vg_size,vg_free,vg_free_count,vg_extent_count

# Per-PV free distribution: uneven spread can block striped
# or policy-constrained LVs
pvs -o pv_name,vg_name,pv_size,pv_free,pv_attr

# LV health flags: p=partial, D=thin pool out of data, F=failed, M=metadata read-only
lvs -o lv_name,vg_name,lv_attr

# Which PVs physically back an LV's segments
lvs -o lv_name,seg_pe_ranges,devices

Two caveats. First, pvs/vgs/lvs read metadata from PV headers and take VG locks, so they can hang if the underlying storage is already in trouble; dmsetup status reads from kernel memory and still works in that case. Second, transient dm device suspension during a resize is normal and sub-second, so do not panic if dmsetup info briefly shows a suspended device while another operation runs.

How to diagnose it

  1. Confirm the filesystem layer. If df shows 100% but the LV is larger than the filesystem (compare df total to lvs lv_size), you do not have an LVM problem. Grow the filesystem (resize2fs for ext4, xfs_growfs for XFS) and stop. XFS can only grow, never shrink.

  2. Check VG free extents. Run vgs -o vg_name,vg_free. If vg_free is zero or smaller than the requested extension, the VG is the binding constraint and you are on the add-a-PV path (or the free-up-space path). See insufficient free extents for reclaiming space before adding hardware.

  3. Check whether the LV is thin. Look at lv_attr position 1 (t for thin pool, V for thin volume) or the data_percent column. If the LV lives in a thin pool and the pool’s data_percent is at or near 100%, the constraint is the pool, not the VG. Extend the pool’s data LV (lvextend against the pool LV itself); this consumes VG free extents, so recheck step 2 afterward. If metadata_percent is at 100%, that is more dangerous: metadata exhaustion can corrupt the pool, and recovery via lvconvert --repair is not guaranteed. Do not improvise on a metadata-exhausted pool.

  4. If vg_free looks sufficient but lvextend still fails, check allocation policy and distribution. An LV with a contiguous or cling allocation policy cannot use free extents that violate the policy, and a striped LV needs free extents on enough distinct PVs to maintain its stripe width. A VG can show 30% free with all of it on one PV, which is useless to a striped LV. Check the LV’s allocation policy in lv_attr and the per-PV free distribution with pvs.

  5. Check the PV itself. If the underlying block device was recently enlarged (cloud volume resize, SAN LUN expansion), the PV does not see the new space until you run pvresize on it. Also verify the PV is marked allocatable; a PV with allocation disabled shows it in pv_attr, and lvextend will refuse its free extents. Re-enable allocation with pvchange -x y /dev/sdX.

  6. Only then run the remediation chain below.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
VG free space (vg_free, percent)Zero means no extension, no snapshots, no thin pool auto-extendBelow 10% and trending down
Thin pool data_percentPool at 100% freezes or errors all thin LVs in itAbove 85%, or fast growth rate
Thin pool metadata_percentMetadata exhaustion risks pool corruption, not just ENOSPCAbove 75%; any steady rise
Filesystem usage per LVThe layer applications actually hitAbove 90% with no VG headroom
Per-PV free distributionStriped and policy-constrained LVs need spread, not totalsOne PV full, others empty
LV health attr (position 9)D, F, M flags mean pool-level failure statesAny value other than -
dmeventd running and auto-extend configAuto-extend threshold defaults to 100, which means disabledAssumed enabled, never verified

Fixes

The VG is genuinely full: add a PV

This is the canonical chain. Each step depends on the previous one.

# 1. Stamp the new device as a physical volume
#    DESTRUCTIVE to any existing data on this device. Verify the device
#    name three times. Never pvcreate a device that holds data you need.
pvcreate /dev/sdX

# 2. Add the PV to the volume group (vgextend can also auto-initialize
#    a device that was not pvcreated, but doing it explicitly is clearer)
vgextend <vg> /dev/sdX

# 3. Confirm the VG now has free extents
vgs -o vg_name,vg_size,vg_free

# 4. Extend the LV. -r resizes the filesystem in the same step.
lvextend -L +50G -r <vg>/<lv>

#    Or consume all remaining VG free space in one go:
lvextend -l +100%FREE -r <vg>/<lv>

If you skip -r, the LV grows but the filesystem does not. Follow up with resize2fs /dev/<vg>/<lv> for ext4 or xfs_growfs <mountpoint> for XFS. Forgetting this is the most common follow-up mistake: the LV looks bigger in lvs, df shows no change, and the application keeps failing.

Tradeoffs to weigh before pvcreate:

  • Physical independence. A PV on the same controller, shelf, or SAN as the existing PVs adds capacity but no failure isolation. If the VG spans failure domains, losing one device can now take out LVs that span it. Linear LVs with extents on a lost PV are immediately inaccessible.
  • Reclaim first if you can. Deleting stale snapshots and forgotten LVs returns extents to the VG without new hardware. Traditional snapshots hold COW space until removed; removing one frees it immediately.
  • The enlarged-device shortcut. If this is a cloud or SAN volume already resized at the hypervisor or array level, skip pvcreate entirely: pvresize /dev/sdX on the existing PV exposes the new space to the VG. Check device size against pv_size before buying disks.

The thin pool is full, not the VG

Extend the pool LV, not the individual thin LVs:

# Extend thin pool data space (consumes VG free extents)
lvextend -L +<size>G <vg>/<thinpool>

If the VG has no free extents, extend the VG first with the pvcreate/vgextend chain above, then extend the pool. If metadata_percent is the exhausted dimension, extend metadata with lvextend --poolmetadatasize, but only on a healthy pool: on a pool already in a failed state, the supported path is lvconvert --repair first, and recovery is not guaranteed. Also verify auto-extend: thin_pool_autoextend_threshold defaults to 100, which means disabled, and even a correctly configured dmeventd fails silently when the VG has no free extents to give.

Free space exists but allocation is refused

  • Policy-constrained LV. Override the allocation policy for one operation with lvextend --alloc normal (or change the VG/LV policy with vgchange --alloc). The anywhere policy is a documented last resort that will use extents even at a performance cost, such as placing two stripes on one PV.
  • Striped LV, uneven free space. Either add PVs so each stripe leg has room, free extents on the PVs the LV already stripes across (pvmove can relocate extents between PVs), or extend with a non-striped segment so the new space comes from wherever it is available.
  • PV marked non-allocatable. Re-enable allocation on the PV with pvchange -x y /dev/sdX so its free extents become usable.

Prevention

  • Alert on VG free space, not just df. VG exhaustion is a cliff: 99% works, 100% fails everything at once. Ticket below 10%, plan below 20%. See the LVM monitoring checklist for the full signal set.
  • Keep headroom for the safety net. If thin pool auto-extend is your plan, the VG must hold enough free extents for at least one extension cycle, and you must have verified dmeventd is running and the threshold is actually below 100.
  • Trend consumption. A VG at 80% that has not moved in months is different from one that consumed 20% last week. Runway math only works with history; the maturity model covers where trending fits.
  • Audit distribution, not just totals. Periodically check per-PV free space so a striped or policy-constrained LV does not surprise you at extension time.
  • Snapshot lifecycle. Traditional COW snapshots consume VG space and invalidate irreversibly at 100%. Do not leave backup snapshots around for weeks.

How Netdata helps

  • Three-layer capacity view. Netdata tracks filesystem usage, VG free space, and thin pool data/metadata percentages as separate dimensions, so the alert that fires tells you which constraint is binding instead of just “disk full.”
  • Trend, not snapshot. VG free space and thin pool usage are cliff-edge resources; per-second history lets you compute consumption rate and runway instead of discovering exhaustion at 100%.
  • Health flag correlation. LV health attributes (p, D, F, M), PV presence, and D-state process counts collected together let you distinguish “VG full, add a disk” from “pool exhausted, processes already hanging.”
  • Baseline for the remediation. After vgextend and lvextend, the dashboards confirm VG free jumped, the LV grew, and filesystem usage started dropping, so you can verify each step of the chain landed.
  • Alert hygiene. Ratio-based thresholds on VG free and pool usage with the maturity-model severities keep capacity alerts actionable instead of noisy.