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 / nvme / nvme-controller-reset-timeout ▌

Operations Guides

nvme nvme0: I/O timeout, Resetting controller: what an NVMe controller reset means

You are here because dmesg or journalctl -k shows a sequence like this:

nvme nvme0: I/O 24 QID 3 timeout, aborting
nvme nvme0: Abort status: 0x0
nvme nvme0: I/O 24 QID 3 timeout, reset controller

On kernels 6.9 and later the timeout line also carries the request tag, command ID, opcode, and queue, e.g. nvme nvme0: I/O tag 24 (0018) opcode 0x1 (I/O Cmd) QID 3 timeout, reset controller; the sequence is the same.

The NVMe driver submitted a command, the controller did not complete it within the I/O timeout (30 seconds by default), the driver tried to abort the command, the abort did not resolve things, and the driver forced a full controller reset. During the reset-recovery cycle, which typically takes 5 to 30 seconds, all I/O to that device stalls. In-flight commands are replayed after the reset completes.

This is the NVMe equivalent of a SCSI bus reset: a brute-force recovery mechanism. Data is typically preserved because commands replay, but the multi-second stall cascades upward. Applications with timeouts shorter than 30 seconds (most databases, most request handlers) fail before the reset even finishes. One reset shows up downstream as database connection timeouts, failed requests, and cluster rebalancing events. The application errors are the symptom; the reset is the cause.

The most important operational fact: this event does not appear in SMART data. A controller reset is a transport and firmware-level event, not a media error. nvme smart-log will often show zero media errors, no new error log entries, and a healthy drive while resets are actively happening. If you only monitor SMART, you will miss this entirely. The reliable sources are the kernel log and controller state in sysfs.

What this means

The kernel NVMe driver tracks every outstanding command. When a command exceeds io_timeout (check /sys/module/nvme_core/parameters/io_timeout, 30 seconds by default), the driver’s timeout handler fires. It first attempts to abort the specific command. If the abort succeeds, life goes on. If the abort itself times out or fails, the driver schedules a controller reset.

A reset is a full reinitialization: the driver tears down the queue pairs, resets the controller hardware, recreates the admin and I/O queues, and replays every in-flight command. From the block layer’s perspective, requests submitted before the reset eventually complete. From the application’s perspective, I/O simply stopped for 5 to 30 seconds.

flowchart TD
  A[Command exceeds io_timeout] --> B[Driver aborts command]
  B -->|abort succeeds| C[I/O resumes normally]
  B -->|abort fails or times out| D[Controller reset scheduled]
  D --> E[All I/O stalled 5-30s]
  E -->|reset succeeds| F[In-flight commands replayed]
  E -->|reset fails| G[Controller state: dead, device removed]
  F --> H{Does it recur?}
  H -->|repeated resets| I[Dying controller, firmware bug, or PCIe fault]
  H -->|isolated| J[Investigate anyway: firmware, APST, thermals, AER]

You can watch the controller move through this in real time via sysfs:

# Controller state: live, resetting, connecting, deleting, dead, new
cat /sys/class/nvme/nvme0/state

A controller stuck in resetting for more than a few seconds, or cycling between resetting and live, is the reset loop pattern: the controller crashes shortly after coming online, the driver resets it again, and the cycle repeats. That pattern is usually unrecoverable without a firmware update or hardware replacement.

Common causes

CauseWhat it looks likeFirst thing to check
Controller firmware hang or bugResets with no temperature spike, no AER errors, no media errors; often reproducible under a specific workloadnvme id-ctrl /dev/nvme0 | grep -i fr for firmware version; search for known issues
APST / aggressive power managementTimeouts after idle periods, on boot, or under light load; consumer drives especiallyKernel log for timeouts correlating with idle-to-active transitions
PCIe link instabilityAER correctable errors accumulating, link retrains in dmesg, possibly link speed/width downgrade/sys/class/nvme/nvme0/device/aer_dev_correctable and link speed vs max
Thermal emergencyTemperature climbing before the reset, warning_temp_time increasing, throttling transitionsnvme smart-log temperature and thermal management counters
Power delivery instabilityResets plus unsafe shutdown count increasing, or power cycles without rebootsnvme smart-log unsafe_shutdowns and power_cycles rates
Dying controller / reset loopRepeated resets (2 or more per hour), device disappears and reappears, failed recoverydmesg reset frequency; /sys/class/nvme/nvme0/state stuck non-live

Two benign cases to rule out first: a VM or guest reboot produces expected controller reset messages on the host’s virtual NVMe device, and host-initiated resets (driver reload, manual trigger via /sys/class/nvme/nvme0/reset_controller) are expected. Some virtualization layers also emulate controller resets during live migration or backend maintenance. Correlate with maintenance windows and VM lifecycle events before treating a reset as a hardware fault.

Quick checks

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

# 1. Count resets and see the full sequence
journalctl -k --no-pager | grep -c "reset controller\|resetting controller"
dmesg -T | grep -i "nvme.*reset\|nvme.*timeout" | tail -50

# 2. Current controller state (ground truth for availability)
cat /sys/class/nvme/nvme0/state

# 3. Confirm the timeout value the driver is using
cat /sys/module/nvme_core/parameters/io_timeout

# 4. PCIe AER counters (should be zero on a healthy link)
cat /sys/class/nvme/nvme0/device/aer_dev_correctable
cat /sys/class/nvme/nvme0/device/aer_dev_nonfatal
cat /sys/class/nvme/nvme0/device/aer_dev_fatal

# 5. Link degradation check: current vs max
cat /sys/class/nvme/nvme0/device/current_link_speed
cat /sys/class/nvme/nvme0/device/max_link_speed
cat /sys/class/nvme/nvme0/device/current_link_width
cat /sys/class/nvme/nvme0/device/max_link_width

# 6. SMART cross-check: expect this to look clean during a timeout incident
nvme smart-log /dev/nvme0 | grep -i "critical_warning\|media_errors\|num_err_log_entries\|temperature\|unsafe_shutdowns\|power_cycles"

# 7. Firmware version and firmware log
nvme id-ctrl /dev/nvme0 | grep -i "^fr "
nvme fw-log /dev/nvme0

# 8. Detailed error entries (circular buffer, check early)
nvme error-log /dev/nvme0

The AER counters live under the PCI device path (/sys/class/nvme/nvme0/device/ resolves to the PCI device), so read permissions depend on system policy, and in containers sysfs may not be mounted.

How to diagnose it

The goal is to attribute the reset to one of the causes above. Work the correlation window: the minutes before the first timeout message.

  1. Establish the timeline. Pull the full kernel log around the event with journalctl -k --since "1 hour ago". Find the first I/O ... timeout line, not just the reset. Note whether anything preceded it: AER messages, link retrain notices, thermal messages, or a period of silence after idle.

  2. Classify the pattern. One reset ever: investigate but do not treat as an emergency. Two or more resets in an hour, or a reset with failed recovery (controller goes to dead or the device disappears): this is the reset loop, treat as page-worthy and plan hardware action.

  3. Rule out the transport layer. Check AER counters. Any uncorrectable fatal or non-fatal error is a severe hardware issue (cable, connector, slot, retimer). A sustained correctable error rate points to marginal signal integrity. Also compare current vs max link speed and width; a downgraded link means the physical layer has already been renegotiating.

  4. Rule out thermals. Pull composite temperature history for the window before the reset. Check warning_temp_time and critical_comp_time in the SMART log: these are cumulative minutes above the warning and critical thresholds, so they reveal thermal stress even if you missed the live event. Rising thermal management transition counts (thm_temp1_trans_count, thm_temp2_trans_count) confirm throttling was active.

  5. Rule out power. Compare unsafe_shutdowns and power_cycles rates against actual reboot and maintenance records. Power cycles without corresponding system reboots suggest slot or PDU power instability.

  6. Suspect firmware and power management last. If temperature is normal, AER is clean, power is stable, and SMART is clean, the most likely remaining causes are a controller firmware hang (often triggered by a specific command pattern or queue depth) or autonomous power state transitions (APST) on consumer-class drives, where the drive enters a deep idle state and fails to wake within the timeout.

  7. Preserve the error log now. The NVMe error information log is a circular buffer. Under a high error rate, root-cause entries get overwritten. Run nvme error-log /dev/nvme0 and save the output before continued operation rotates it.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
Kernel log reset/timeout countThe reset itself exists nowhere else; SMART will not show itAny reset; 2+ in 1 hour is a dying-controller pattern
/sys/class/nvme/nvme0/stateDirect availability signalNon-live sustained over 30 seconds
PCIe AER correctable error rateLink integrity degrades before resets startSustained non-zero rate
PCIe AER uncorrectable (fatal/non-fatal)Severe transport fault, often precedes device lossAny occurrence
Composite temperature + warning/critical temp timeThermal events cause controller hangs and throttlingTemperature near WCTEMP; warning_temp_time rate > 0
Block layer I/O latencyLatency climbs toward the 30s timeout before a reset firesSustained multi-second latency; any I/O over 1s
unsafe_shutdowns / power_cycles ratePower instability triggers controller faultsIncrements without matching reboots
num_err_log_entries rateFirmware and internal errors appear here, not in media_errorsRising rate with flat media_errors

Fixes

Firmware hang or known firmware bug

Check the firmware revision (nvme id-ctrl | grep -i fr) against the vendor’s release notes and advisories. Firmware bugs that trigger hangs under specific workloads are more common than vendors admit, and fixes ship as firmware updates. Apply updates during a maintenance window; firmware activation can itself involve a controller reset, so quiesce I/O first. If the trigger is reproducible, changing the I/O pattern (queue depth, scheduler, I/O size) sometimes avoids the buggy path until you can update.

APST / power management timeouts

Common on consumer NVMe in server or workstation roles. The drive enters an autonomous low-power state and does not wake within the I/O timeout. The widely used workaround is disabling deep power state transitions, either via the kernel command line (nvme_core.default_ps_max_latency_us=0, as documented in the Arch Wiki NVMe troubleshooting page) or per-device:

# Disable autonomous power state transitions (feature 0x0c)
nvme set-feature /dev/nvme0 -f 0x0c -v 0

This does not persist across resets or reboots on all controllers, so the kernel parameter is the durable form. Tradeoff: higher idle power draw and slightly higher idle temperatures. PCIe ASPM can also cause latency spikes and transient link issues, and some operators disable it for the same reason. Validate on one node before rolling out.

Reseat the drive (M.2 connectors especially; vibration and thermal cycling work them loose). Inspect or replace cables and risers on U.2/U.3 paths. If the link has negotiated below max speed or width, a full power cycle (not a warm reboot) forces renegotiation. If AER errors persist after reseating, try a different slot to isolate drive vs slot vs backplane.

Thermal

Restore cooling headroom: verify heatsink contact, chassis airflow, and fan function. Reduce write load while the drive is hot. A drive that has accumulated critical_comp_time has operated in a zone that accelerates NAND wear, so increase monitoring frequency on its endurance signals afterward.

Reset loop / failed recovery

If resets repeat and recovery fails, plan replacement. Verify your redundancy (RAID, replication) is healthy first, then fail the device out cleanly rather than letting the loop continue to stall I/O for the whole box. Check for a firmware update as a last resort before RMA.

What not to do

Do not raise nvme_core.io_timeout or set it to a huge value to “fix” the resets. That only makes applications hang longer before failing and hides the underlying hardware or firmware problem. Do not treat a single successful recovery as resolution; resets recur.

Prevention

  • Alert on the kernel log pattern. nvme.*timeout and reset controller / resetting controller must be a structured log alert, not something you find in a postmortem. Single reset: ticket. Two or more in an hour, or failed recovery: page.
  • Baseline AER counters and link state at provisioning. A Gen4 x4 drive running at Gen3 x2 delivers a quarter of its bandwidth with zero errors. Catch degradation at deployment, not during an incident.
  • Track firmware versions fleet-wide. A known-bad firmware revision is only actionable if you know which drives run it.
  • Baseline PLP and drive class. Consumer drives without power-loss protection and with aggressive APST behave differently under power events and idle transitions. Monitor them accordingly.
  • Monitor temperature continuously, not just SMART thresholds. The cumulative warning and critical temperature time counters reveal thermal events you missed live.
  • Distinguish resets from unsafe shutdowns in your runbooks. Resets are software recovery; unsafe shutdowns are power loss. Different causes, different responses.

How Netdata helps

Netdata does not see the reset itself (nothing in SMART reports it), but it gives you the attribution context around the event:

  • nvme.device_composite_temperature plus nvme.device_warning_composite_temperature_time and nvme.device_critical_composite_temperature_time let you confirm or rule out a thermal lead-up to the reset, including thermal stress that happened while nobody was watching.
  • nvme.device_error_log_entries_rate rising while nvme.device_media_errors_rate stays flat is the fingerprint of firmware or internal controller faults rather than NAND problems.
  • nvme.device_critical_warnings_state per-bit dimensions tell you whether the drive itself assessed a reliability or thermal problem in the same window.
  • nvme.device_unsafe_shutdowns_count and power cycle trends separate power delivery problems from driver-level resets.
  • Per-second block device I/O latency around the event shows the stall building toward the 30 second timeout, which helps you distinguish a slow-burn degradation from a sudden firmware hang.

The practical workflow: alert on the kernel log pattern, then open the Netdata dashboard for that node at the reset timestamp and correlate temperature, error log rate, and block latency in the minutes before the event.