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-warning-critical-temp-time ▌

Operations Guides

NVMe warning and critical temperature time: reading the thermal-stress counters

Most NVMe thermal monitoring is live-state monitoring: you watch composite temperature and alert when it crosses a threshold. That works while you are looking. It tells you nothing about the 40 minutes last night when a backup job pushed an M.2 drive past its warning threshold and the controller quietly throttled your database.

Two fields in the NVMe SMART/Health Information log close that gap: warning_temp_time (Warning Composite Temperature Time) and critical_comp_time (Critical Composite Temperature Time). They are cumulative counters, in minutes, recording how long the drive has spent above its Warning Composite Temperature Threshold (WCTEMP) and Critical Composite Temperature Threshold (CCTEMP). They are the drive’s own thermal-stress history, kept whether or not anyone was watching.

Because they are cumulative and never decrease, the absolute value is mostly trivia. The rate of change is the signal. This article covers what the counters actually count, how to read them, and the three ways they lie to you.

What these counters are

Both fields live in the SMART/Health Information log (Log Identifier 02h) and are reported by nvme smart-log as “Warning Temperature Time” and “Critical Composite Temperature Time”. smartctl -a exposes the same fields as “Warning Comp. Temperature Time” and “Critical Comp. Temperature Time”.

  • warning_temp_time: cumulative minutes the controller has been operational with composite temperature at or above WCTEMP (and below CCTEMP).
  • critical_comp_time: cumulative minutes with composite temperature at or above CCTEMP.

Two properties of the underlying thresholds matter before you interpret anything:

  1. WCTEMP and CCTEMP are vendor-set per model. They live in Identify Controller data, not in the SMART log, which is why most monitoring tools never show them. Typical consumer drives use WCTEMP around 70-80°C and CCTEMP around 85°C; enterprise drives often run higher.
  2. Composite temperature is not a physical sensor reading. It is an implementation-specific computed value that may not correspond to any single physical point in the NVM subsystem. Per-sensor temperatures (visible via hwmon) can diverge from it.

Netdata collects both counters and exposes them as the contexts nvme.device_warning_composite_temperature_time (dimension wctemp) and nvme.device_critical_composite_temperature_time (dimension cctemp), converting the raw minutes to seconds.

How the counters work

The controller samples its composite temperature against the two thresholds while operational. For each minute the temperature sits at or above WCTEMP, warning_temp_time increments. For each minute at or above CCTEMP, critical_comp_time increments. Neither counter ever decrements, resets on reboot, or clears after the drive cools down.

flowchart TD
  S[Composite temperature sampled while controller operational] --> W{At or above WCTEMP?}
  W -->|no| N[No counter increments]
  W -->|yes| C{At or above CCTEMP?}
  C -->|no| WT[warning_temp_time +1 minute]
  C -->|yes| CT[critical_comp_time +1 minute]
  WT --> TH[Controller throttling to self-protect]
  CT --> CR[Thermal emergency zone, shutdown risk]

One dependency silently disables the whole mechanism: if WCTEMP or CCTEMP is reported as 0h in Identify Controller data, the corresponding counter is always 0 regardless of actual temperature. The NVMe spec revision 1.2 and later requires compliant controllers to report a non-zero WCTEMP (and CCTEMP); older controllers may report 0h, which forces the counters to read zero forever.

The counters are 32-bit fields and effectively saturate. The spec spells out a no-wrap rule (“shall not wrap once FFFFFFFFh is reached”) only for the thermal management counters; it does not state one for these two, but you will not see them roll over to zero in practice.

A unit note that trips people up: these two counters are in minutes, but the Thermal Management T1/T2 Total Time fields in the same log page are in seconds. Comparing warning_temp_time against thm_temp1_total_time without converting makes one of them look 60 times larger than reality.

Reading the counters manually

# Pull the two thermal-stress counters from the SMART log
nvme smart-log /dev/nvme0 | grep -i "warning_temp_time\|critical_comp_time"

# Get the thresholds they count against (Identify Controller data, not SMART)
nvme id-ctrl /dev/nvme0 | grep -i "^wctemp\|^cctemp"

# Context: how long has the drive been alive?
nvme smart-log /dev/nvme0 | grep "power_on_hours"

nvme id-ctrl reports WCTEMP and CCTEMP in Kelvin; subtract 273.15 for Celsius. If either prints as 0, the matching counter is disabled and will always read zero.

The useful arithmetic:

  • Time in thermal stress as a fraction of drive life. warning_temp_time / (power_on_hours * 60) tells you what percentage of the drive’s powered-on life it has spent throttling. Low single digits on a busy database server is plausible; 10% or more means the drive is routinely thermally constrained and your effective sustained throughput is lower than you think.
  • Rate of change between samples. Read the counter now, read it again in an hour. Any increment means the drive crossed the threshold during that window, even if current temperature looks fine. This is how you catch thermal events that happened between polling intervals or overnight.
  • Warning vs critical ratio. A drive with large warning_temp_time but zero critical_comp_time is throttling as designed and self-protecting. Any non-zero critical_comp_time means the drive entered the zone where the vendor considers continued operation dangerous.

The three ways these counters lie

A persistent zero does not mean the drive never got hot. This is the most common misreading. Many drives never implement warning_temp_time at all: the counter reads 0 for the drive’s entire life even on heavily abused hardware. Other drives report WCTEMP as 0h, which disables the counter by spec. Before trusting a zero, confirm the drive reports a non-zero WCTEMP via nvme id-ctrl. If it does not, you have no thermal-history counter and must rely on live temperature monitoring alone.

A static non-zero value is history, not a current problem. The counters never decrease. A value of 4,200 minutes might reflect a summer cooling failure two years ago that was fixed the same week. A non-zero value with a zero rate of change tells you the drive was thermally stressed at some point in its life, which is relevant context for interpreting wear (high temperature history accelerates NAND degradation and appears in the “Silent Data Degradation” failure pattern), but it is not an active incident.

The counters and critical_warning bit 1 can disagree. Critical warning bit 1 (temperature threshold exceeded) is a live-ish flag set by firmware; the time counters are the accumulated record. There are field reports (e.g. on consumer drives after firmware updates) of firmware bugs that assert bit 1 on cool drives while the time counters correctly stay at zero; the specific models vary with firmware. If bit 1 is set but current composite temperature is well below WCTEMP and neither counter is incrementing, suspect firmware before you suspect cooling, and check for a firmware update.

What the values tell you operationally

ObservationMeaningResponse
warning_temp_time incrementing during known heavy loadDrive crosses WCTEMP under workload and throttles to copeTICKET. Fix cooling or spread load; throttling is silently taxing latency
warning_temp_time incrementing with no explanationThermal events you are not seeing live: overnight jobs, seasonal ambient riseTICKET. Correlate the increment window with workload and ambient temperature
critical_comp_time incrementingDrive entered the critical thermal zoneUrgent investigation. Verify cooling, fans, heatsink contact immediately
Critical warning bit 1 sustained > 5 minutes AND critical_comp_time increasingActive, non-self-resolving thermal emergencyPAGE. Reduce load now; the drive is near autonomous shutdown
Both counters zero, WCTEMP reported as 0hCounters not implemented, zero is meaninglessRely on live composite temperature monitoring instead
Non-zero but flat for monthsResolved historical eventContext only. Note it when interpreting wear and media errors

High temperature history also changes how you read endurance data. NAND retention and endurance degrade faster at elevated temperature, so a drive with large accumulated thermal-stress minutes deserves more scrutiny of media_errors and available_spare than its percentage_used alone would suggest.

Signals to watch in production

SignalWhy it mattersWarning sign
warning_temp_time rate of changeThe actionable form of the counter: is the drive entering thermal stress nowAny sustained increase
critical_comp_time rate of changeMinutes spent above CCTEMP, the danger zoneAny non-zero increase
Composite temperature (nvme.device_composite_temperature)Live state the counters integrate overApproaching WCTEMP under normal load
Critical warning bit 1 (temp_threshold dimension)The drive’s own threshold-crossing assertionSustained assertion plus rising critical_comp_time
Thermal management transitions (thm_temp1_trans_count, thm_temp2_trans_count)How often the controller actually throttled; TMT total time (in seconds) quantifies the performance costRising transition counts
Throughput and latency during counter incrementsConfirms throttling is the cause of a slowdown, not GC or media issuesThroughput drop correlated with temperature rise
power_on_hoursDenominator for computing what fraction of drive life was spent hotNeeded for any meaningful ratio

The thermal death spiral pattern chains these together: temperature rises, warning_temp_time starts accumulating, throughput declines, latency climbs, TMT transitions increment, and finally bit 1 asserts. Catching the pattern at the second step, from the counter rate, is much cheaper than catching it at the last one.

How Netdata helps

  • Netdata charts both counters as nvme.device_warning_composite_temperature_time and nvme.device_critical_composite_temperature_time, converting the raw minute counters to seconds, so increments are visible on the dashboard instead of requiring manual nvme smart-log diffs.
  • Because the charts are continuous, you can see exactly when an increment happened and overlay it against the workload window, which is the information you need to attribute a thermal event to a backup job, a compaction, or an ambient cooling failure.
  • The composite temperature chart (nvme.device_composite_temperature) on the same dashboard gives the live state; counter rate plus live temperature together distinguish “throttling right now” from “was hot earlier”.
  • Critical warning bit 1 is broken out as the temp_threshold dimension of nvme.device_critical_warnings_state, so you can alert on the escalation path the playbook defines: sustained bit 1 plus rising critical_comp_time.
  • Thermal management transition charts (nvme.device_thermal_mgmt_temp1_transitions_rate, nvme.device_thermal_mgmt_temp2_transitions_rate and the corresponding total-time charts) quantify how often the drive throttled and for how long, closing the loop between thermal stress and observed performance.