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 / smartctl-disk-monitoring / smartctl-current-pending-sector ▌

Operations Guides

Current_Pending_Sector non-zero: unreadable sectors and I/O latency spikes

A non-zero Current_Pending_Sector (SMART attribute ID 197) means the drive has sectors it cannot reliably read. These sectors failed a read and are waiting for either a write to trigger reallocation or an offline scan to confirm the defect. The drive has not yet remapped them to its spare pool.

The operational impact is often misdiagnosed. Every time the filesystem touches one of these sectors, the drive firmware enters a multi-second retry loop. This shows up in iostat as extremely high await with low throughput and idle CPU. Teams chase this as a software freeze, a kernel bug, or a filesystem problem for hours before checking SMART data.

A single pending sector can self-resolve: if the sector is overwritten successfully, the firmware clears it from the pending list or remaps it. Alerting on a single non-zero reading produces false alarms. The count must be sustained across consecutive polls and corroborated by growth in Offline Uncorrectable (ID 198) before it confirms active data loss. Conversely, the count decreasing does not mean the drive is healthy. It means the failure was masked by reallocation.

What this means

The firmware flags a sector as pending when it cannot return data on the first read attempt, or when it needs excessive ECC correction. Instead of immediately remapping (which consumes the finite spare pool), the drive parks the LBA on a pending list and waits for a write to confirm whether reallocation is needed.

Read-only workloads, rarely accessed files, and filesystem caches can all prevent that triggering write from ever happening. The sector sits on the pending list indefinitely. When something does read it, the drive retries repeatedly, consuming seconds of wall-clock time on a single I/O operation.

flowchart TD
    A["Read fails on LBA"] --> B["Sector flagged as pending
ID 197 increments"] B --> C{"Filesystem touches that LBA"} C -->|Read attempt| D["Drive enters retry loop
iostat await spikes to seconds"] C -->|Write to that LBA| E{"Firmware attempts reallocation"} E -->|Write succeeds| F["Sector remapped to spare
ID 5 increments, ID 197 decrements"] E -->|Write fails| G["Sector becomes uncorrectable
ID 198 increments"] D --> H{"Pattern sustains across polls?"} H -->|"Yes + ID 198 rising"| I["PAGE: confirmed active data loss"] H -->|"Transient, self-resolves"| J["TICKET: monitor for recurrence"]

This is the “zombie drive” pattern: the system looks frozen (high iowait, idle CPU), but the root cause is a single bad sector on a drive that is otherwise functional. The drive can operate for weeks or months in this state, with intermittent latency spikes whenever a pending sector is touched.

Common causes

CauseWhat it looks likeFirst thing to check
Progressive media degradation (HDD)ID 197 and ID 5 both climbing slowly over days/weeks. Self-test shows read failure at specific LBA.smartctl -a /dev/sdX for IDs 5, 197, 198. Compare against last baseline.
NAND cell failure (SATA SSD)ID 197 rising alongside declining wear indicator (ID 231, 233, or 177 depending on vendor).smartctl -A /dev/sdX for wear attributes. For NVMe, check Available Spare and Percentage Used in the health log instead of attribute IDs.
Cable or backplane problemID 199 (UDMA CRC) also increasing. Pending sectors may be phantom (transport errors, not media defects). IDs 5 and 198 stable.Check smartctl -A for ID 199 growth. Reseat cable before replacing the drive.
Crucial/Micron SSD false positiveID 197 toggles between 0 and 1 repeatedly on MX500 and similar models. No latency spikes, no reallocated sectors.Check drive model and smartmontools version. Attribute may be an ECC event counter, not pending sectors.
Physical shock or vibration (HDD)Sudden jump in pending sectors. G-Sense Error Rate (ID 221) may also increase.Check smartctl -A for ID 221. Investigate physical environment.

Smartmontools does not publish a complete list of affected MX500 firmware revisions. Its drive database records the behavior as “MX500: May flip 0 <> 1 (ticket #1227)”; smartmontools 7.2 already applied the same attribute rename to CT250/500/1000/2000 MX500 models, and 7.5 also matches CT4000 MX500.

Quick checks

These commands are read-only and safe to run on a production system.

# Check pending sector count and related media attributes
smartctl -A /dev/sdX | grep -iE "Current_Pending|Reallocated|Offline_Uncorrectable"

# Full SMART overview including health assessment
smartctl -a /dev/sdX

# Check the drive's error log for UNC (uncorrectable) errors at specific LBAs
smartctl -l error /dev/sdX

# Check self-test results for read failures with LBA details
smartctl -l selftest /dev/sdX

# Watch per-device I/O latency in real time
iostat -x 1

# Look for kernel-level I/O errors and SCSI error recovery
dmesg | grep -iE "I/O error|medium error|reset|timeout|offline" | tail -20

# Verify the drive identity has not changed unexpectedly
smartctl -i /dev/sdX | grep -iE "Model|Serial|Firmware"

How to diagnose it

  1. Confirm the pending count and check for corroboration. Run smartctl -A /dev/sdX and record the raw values for IDs 5, 197, and 198. A non-zero ID 197 alone is a TICKET. If ID 198 is also increasing, the drive is converting pending sectors to permanent data loss. If ID 5 is also increasing, the spare pool is being consumed.

  2. Check whether the count is sustained. Poll the attribute again after 15-30 minutes (or across your normal monitoring interval). If ID 197 drops to zero without a corresponding increase in ID 5, the sector self-resolved on a successful re-read. This is not the same as healthy: the media is marginal and will likely recur.

  3. Correlate latency spikes with the drive. Run iostat -x 1 during reported slowness. Look for high await on the suspect device while CPU utilization stays low. If await spikes to hundreds of milliseconds or seconds on one device while others are normal, the drive is retrying a bad sector.

  4. Find the affected LBA. The error log (smartctl -l error /dev/sdX) shows UNC errors with the LBA where the read failed. The self-test log (smartctl -l selftest /dev/sdX) also reports the LBA of any read failure. Cross-reference the LBA with the filesystem to determine which file is affected.

  5. Rule out cable problems. Check ID 199 (UDMA_CRC_Error_Count). If CRC errors are increasing alongside pending sectors, the pending sectors may be phantom: the transport layer corrupted the read, so the drive flagged the sector as suspect even though the on-disk data is intact. Fix the cable first, then re-evaluate.

  6. Run an extended self-test if the situation allows. smartctl -t long /dev/sdX scans the full surface and will find latent bad sectors before production I/O hits them. This takes hours on large HDDs and competes with production I/O, so schedule accordingly. If the test reports a read failure at a specific LBA, the defect is confirmed.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
Current_Pending_Sector (ID 197)Direct count of sectors the drive cannot reliably read right nowAny non-zero value. Sustained across polls is critical.
Reallocated_Sector_Ct (ID 5)Spare pool is being consumed as pending sectors are remappedAny increase. Accelerating increase means active failure.
Offline_Uncorrectable (ID 198)Confirms data loss: sectors that could not be recovered at allAny increase from baseline. Combined with non-zero ID 197, confirms terminal failure.
iostat awaitShows the latency impact of sector retry loops in real timeSingle-device await spikes to hundreds of ms or seconds while CPU is idle.
UDMA_CRC_Error_Count (ID 199)Distinguishes media defects from cable/transport problemsIncreasing count suggests pending sectors may be phantom.
ATA Error LogProvides the specific LBA and error type for each failureUNC errors at specific LBAs confirm media failure. ICRC errors indicate transport problems.
SMART Overall Health (PASSED/FAILED)The drive’s own self-assessmentStill PASSED with hundreds of pending sectors. Do not rely on this alone.

Fixes

Force reallocation by overwriting the affected LBA

Writing to a pending sector triggers the firmware’s reallocation path. If the write succeeds, the sector is remapped to a spare and drops off the pending list. ID 197 decrements and ID 5 increments.

# Identify the LBA from the error log or self-test log
smartctl -l error /dev/sdX | grep -i "LBA"

# Overwrite the specific sector to force reallocation.
# WARNING: This destroys data at the target LBA. Ensure data is recoverable
# from redundancy (RAID, replication, backup) before running.
dd if=/dev/zero of=/dev/sdX bs=512 count=1 seek=<LBA> oflag=direct

If dd fails because the drive rejects the write, hdparm can force reallocation at the firmware level:

# WARNING: Destructive. Forces sector reallocation at the firmware level.
# The --yes-i-know-what-i-am-doing flag is required; hdparm refuses without it.
hdparm --write-sector <LBA> --yes-i-know-what-i-am-doing /dev/sdX

This is a bandaid, not a fix. The underlying media is degrading. The sector was remapped because it failed, and the spare pool is now smaller. Plan replacement.

Replace the cable or reseat the connection

If ID 199 (UDMA CRC errors) is increasing alongside ID 197, the pending sectors may be phantom. The transport layer corrupted reads, causing the drive to flag healthy sectors as suspect. Reseat the cable at both ends, or swap with a known-good cable. After the fix, monitor whether ID 197 clears (via scrub or rewrite) without further growth.

Replace the drive

Any growth in pending sectors combined with increasing reallocated or uncorrectable counts warrants replacement. The drive has started to fail. The question is how fast, not whether. Schedule a controlled replacement during a maintenance window rather than waiting for an uncontrolled failure during peak load.

If the drive is in a RAID array, initiate a controlled rebuild now. Do not wait for the drive to fail completely.

Suppress false positives on affected SSD models

Some Crucial/Micron consumer SSDs use attribute 197 as an ECC event counter that toggles between 0 and 1 during normal FTL operation. This is not a pending sector. Smartmontools 7.2 and later handle this through the drive database (drivedb.h), renaming the attribute to avoid false alerts. On older smartmontools, add a vendor-specific attribute override:

# Override attribute 197 interpretation for affected Crucial/Micron SSDs
# Add to smartd.conf or use with smartctl
smartctl -v 197,raw48,Current_Pending_ECC_Cnt -A /dev/sdX

The -v 197,raw48,Current_Pending_ECC_Cnt syntax is valid in smartmontools 7.5. In smartd.conf, renaming attribute 197 changes the default pending-sector check from -C 197 to -C 0; an explicit -C 197 re-enables it. By contrast, -I 197 only ignores attribute-value changes for the -p, -u, or -t tracking directives and does not turn off -C 197.

Prevention

  • Schedule periodic extended self-tests. Drives do not run self-tests automatically. Without a monthly extended test, latent bad sectors hide until production I/O hits them.
  • Run filesystem scrubs regularly. ZFS scrubs and mdadm checks force reads across the entire device, triggering retries on marginal sectors and forcing reallocation during controlled maintenance rather than peak load.
  • Baseline every drive at deployment. Capture a full smartctl -a snapshot when the drive is first installed. Some drives ship with a small non-zero reallocated count from factory provisioning. Without a baseline, you cannot distinguish factory defects from new degradation.
  • Alert on rate of change, not absolute value. A stable count of 5 pending sectors that clears on rewrite is less urgent than a count that went from 0 to 5 this week and keeps climbing.
  • Require multi-signal corroboration before paging. Page only when ID 197 is sustained non-zero across two or more consecutive polls and ID 198 is also increasing. This prevents false alarms from transient single-sector events while catching confirmed active data loss.

How Netdata helps

Netdata’s disk monitoring collector captures SMART attributes at per-second resolution, which is critical for correlating intermittent latency spikes from pending sector retries with the underlying SMART data.

  • Correlate iostat-level latency with SMART attributes on the same timeline. When await spikes on a device, check immediately whether ID 197 is non-zero on that same drive, without switching between tools or time ranges.
  • Track rate of change for IDs 5, 197, and 198 together. The relationship between these three attributes tells you whether the drive is self-healing (pending clearing via reallocation), stagnating (pending but not yet uncorrectable), or in terminal failure (all three climbing).
  • Anomaly detection flags unusual latency patterns. The characteristic spike pattern of a sector retry loop (single-device await jumping to seconds while CPU stays idle) is distinguishable from normal load-driven latency, even before SMART attributes update.
  • Per-device charts let you compare a suspect drive against its neighbors. Compare drives in the same chassis to determine whether the problem is drive-specific or environmental.