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 / vmware-vsphere / vmware-vsphere-vcenter-storage-log-full

Operations Guides

vCenter /storage/log full: the log-bomb disk death spiral

You log in to the vSphere Client and get a 503, or the UI hangs mid-task. You SSH into the VCSA and run df -h: /storage/log is at 100%. The root filesystem may still have plenty of free space, which is why a generic disk-space alert missed it. The VCSA has many dedicated partitions, and they fill independently.

A single failing service can write gigabytes of logs per hour. STS authentication failures, database connection errors, alarm flapping, or a misbehaving SDK client flooding vpxd with errors will take /storage/log from 40% to 100% within hours. Once the partition is full, services that try to log crash. vmon restarts them. The restart itself generates more log lines as the service hits the same fault and tries to log it again. The loop is self-reinforcing, and clearing space temporarily makes the next iteration worse because the service can write again, refilling the partition faster.

This guide covers the failure pattern, how to identify the offending log source, and the correct way to truncate logs (not delete them) without losing the diagnostic evidence you need to fix the underlying cause.

What this means

The /storage/log partition on the VCSA holds logs for every service under vmware-vmon control: vpxd, STS, vPostgres, rhttpproxy, content-library, sps, perfcharts, and roughly two dozen more. Each service writes to its own subdirectory. When the partition hits 100%, every write fails. Some services handle that gracefully. Many crash.

The defining characteristic of a log bomb is that the disk-full state is caused by the same fault the logs are reporting. STS cert rejection causes authentication errors. Authentication errors are logged at high rate. The logs fill the disk. STS crashes because it cannot write logs. vmon restarts STS. STS logs its startup banner, hits the same auth fault, and writes more. Truncating the log file gives you hours of runway, but the partition refills unless you fix the underlying fault.

flowchart TD
    A[Underlying fault:
STS auth, DB connect, alarm flap] --> B[Service logs errors at GB/hour] B --> C[/storage/log fills to 100%] C --> D[Services cannot write logs] D --> E[Service crashes] E --> F[vmon restarts service] F --> G[Restart re-encounters same fault] G --> B C --> H[vpxd and other services crash] H --> I[503 errors, slow UI, management plane impaired]

A related and commonly missed failure mode is inode exhaustion. The partition reports 40% space used but writes still fail with ENOSPC because every rotated log fragment consumes an inode. Always run df -i alongside df -h.

Common causes

CauseWhat it looks likeFirst thing to check
STS authentication floodvmware-sts-idmd.log and sts-runtime.log dominate /storage/log/vmware/sso/STS signing cert expiry, AD/LDAP reachability, NTP offset
vpxd error flood from SDK clientvpxd.log grows fastest, filled with repeated auth or managed-object errorsActive SDK sessions by client IP
Database connection errorsvpxd.log shows ODBC or Postgres connection failures, vPostgres may be down/storage/db partition, vPostgres service status
Alarm flappingvpxd.log and event tables fill with the same alarm triggering and clearingAlarms oscillating on a single host or VM
Log rotation bugOne specific log grows unbounded; rotation policy missing or wronglogrotate config for that service
Crash loop abandoned by vmonRestart log grows; same service restarts repeatedly, then stopsvmon-cli --list for FAILED or oscillating services

Quick checks

Run these read-only from the VCSA shell as root.

# Identify which partition is full
df -h

# Inode exhaustion can hit before space exhaustion
df -i

# Find the largest consumers under /storage/log
du -shx /storage/log/vmware/* 2>/dev/null | sort -h | tail -20

# Drill into the top offender
du -shx /storage/log/vmware/<service>/* 2>/dev/null | sort -h | tail -20

# Service status and restart state
/usr/lib/vmware-vmon/vmon-cli --list

# Errors in vpxd in the last hour
grep -c -i "error" /var/log/vmware/vpxd/vpxd.log

# SSO authentication failures
grep -c -E "LOGIN_FAILED|Authentication.*failed" /var/log/vmware/sso/vmware-sts-idmd.log

# Functional probe of vpxd through rhttpproxy
# 503 = vpxd unavailable; 401 or 200 = service is responding
curl -sk -o /dev/null -w "%{http_code}\n" https://localhost/sdk

Use -x on du to prevent it from crossing into other mounts via symlinks. Redirect stderr to suppress noise from special files and broken symlinks.

How to diagnose it

  1. Confirm the partition. Run df -h and note which /storage/* mount is at 100%. Do not assume /storage/log. /storage/db, /storage/seat, /storage/core, and /storage/updatemgr can also fill, with overlapping symptoms.
  2. Identify the offending service. Sort subdirectories of /storage/log/vmware/ by size. One service will typically dominate by an order of magnitude.
  3. Identify the offending log file. Within that service directory, find the file growing fastest. ls -la repeated at 30-second intervals is often faster than du and does not walk the whole tree.
  4. Read the tail of that file. The last 200 lines almost always reveal the underlying fault: STS cert rejection, ODBC connection refused, repeated managed-object reference, certificate validation error. Capture this evidence before truncating.
  5. Check vmon state. /usr/lib/vmware-vmon/vmon-cli --list shows whether the service is STARTED, STOPPED, or FAILED, and whether vmon has hit its max-restart limit. A service in FAILED state after many restarts has been abandoned by vmon and will not recover on its own.
  6. Check for inode exhaustion. Run df -i. If IUse% is near 100% on /storage/log, you have too many files, not too much data. Look for thousands of rotated fragments or state files under /storage/log/vmware/.
  7. Check the upstream fault domain. Correlate with certificate expiry (/usr/lib/vmware-vmafd/bin/vecs-cli entry list --store sts), NTP offset (chronyc tracking), vPostgres health (service-control --status vmware-vpostgres), and AD/LDAP reachability.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
/storage/log utilizationThe partition that fills first in a log bombSustained upward trend, especially accelerating
/storage/log growth rate (bytes/hour)Absolute level lags the incident; rate is the leading indicatorGrowth rate >10x baseline for the same hour of day
df -i on /storage/logInode exhaustion looks like disk full but is not solved by truncationIUse% climbing toward 100% while space remains
vmon restart count per serviceSilent crash loops are invisible to external probesAny service restarting more than once per 15 minutes
vpxd error rateError logging is the cause, not just a symptomSustained >3x baseline
STS authentication failure rateThe most common log-bomb triggerFailure rate above 10% of attempts
NTP offsetClock skew causes SAML token rejection, which generates auth errorsOffset >30 seconds
Certificate days-to-expiryExpired STS signing cert is the most devastating log-bomb sourceSTS cert <30 days to expiry

Fixes

Truncate, never delete

The first action is to free space on /storage/log so services can write again. Use truncation, not deletion.

# Truncate the offending log file in place. The writing process keeps
# its file descriptor; space is released immediately.
> /storage/log/vmware/<service>/<logfile>
# or equivalently:
truncate -s 0 /storage/log/vmware/<service>/<logfile>

Never rm an open log file. The writing process holds the file descriptor, the kernel keeps the inode and the blocks allocated until that descriptor closes, and df continues to show 100% full even though ls no longer lists the file. This is one of the most common mistakes during a log-bomb incident and it makes diagnosis harder, not easier.

Before truncating, copy the last few hundred lines somewhere off-appliance if another partition has space. The tail is usually the only evidence of the underlying fault.

Stop the underlying log source

Truncation buys hours, not a fix. The partition refills as soon as the service hits the same error again. Once you have the evidence from the tail of the log, address the fault:

  • STS cert expiry: follow the STS signing certificate renewal procedure. This is non-trivial and may require a maintenance window.
  • AD/LDAP connectivity: restore DNS and network reachability to domain controllers.
  • NTP skew: restore NTP synchronization (chronyc tracking) before restarting STS, or the auth errors will resume immediately.
  • vpxd error flood from an external SDK client: identify the client by source IP and session count, then throttle, rate-limit, or temporarily block it.
  • Alarm flapping: disable the alarm that is oscillating, then fix the underlying host or datastore condition.
  • Crash loop abandoned by vmon: after fixing the underlying fault, manually start the service with service-control --start <service>.

Inode exhaustion

If df -i shows IUse% near 100%, truncation does not help. You need to remove files, not free bytes. Look for directories containing thousands of small rotated fragments:

# Find directories with the most files under /storage/log
find /storage/log -xdev -type d \
  -exec sh -c 'echo "$(ls -1 "$1" | wc -l) $1"' _ {} \; \
  | sort -rn | head -20

Rotate-and-compress policies that produce thousands of .gz fragments are the usual culprit. Removing the older fragments is safe because they are closed files, not held open by a writer.

Resize the partition

If /storage/log is chronically undersized for your environment, expand the VMDK and grow the LVM volume. The VCSA partitions are sized at deployment time based on deployment size (Tiny, Small, Medium, Large, X-Large), and an environment that has grown past its original sizing needs the partition grown to match.

After expanding the VMDK in the vSphere UI, run /usr/lib/applmgmt/support/scripts/autogrow.sh as root to expand the LVM volume without a reboot. From vCenter 8.0 U3h onward, /storage/log defaults to 50 GB; earlier deployments that have grown past their original sizing should be resized to this target.

A snapshot on the vCenter VM blocks VMDK growth. Remove snapshots before resizing.

Do not restart services first

Resist the urge to bounce vpxd or vPostgres to “clear the issue.” If /storage/log is still full, the restart generates more log lines (startup banners, inventory cache rebuild messages) and accelerates the spiral. Always truncate first, identify the cause, then restart only the specific service that was crash-looping.

Prevention

  • Monitor every /storage/* partition independently, not just root. Alert on each.
  • Alert on growth rate, not just absolute level. A partition going from 30% to 60% in an hour is an active incident even if 60% is below threshold.
  • Include df -i in monitoring. Treat IUse% above 70% as a warning.
  • Track vmon restart count per service. Any service restarting more than once per 15 minutes is in a crash loop.
  • Track STS signing certificate expiry with a 60-day warning lead time. The renewal procedure is complex enough that shorter runway is an emergency, not a plan.
  • Monitor NTP offset and SDK authentication failure rate. Both are leading indicators for the most common log-bomb triggers.
  • Right-size the VCSA. A Tiny or Small appliance running a Large inventory fills /storage/log faster and recovers more slowly because vpxd has less headroom.

How Netdata helps

Netdata’s per-second metrics let you catch the partition-fill event and correlate it with the upstream cause, provided the right signals are collected from the VCSA guest.

  • Per-partition disk utilization on every /storage/* mount surfaces the specific partition filling, not just root. A log bomb on /storage/log is visible even when / looks healthy.
  • Disk space rate-of-change flags the leading indicator: a partition filling at 5 GB/hour is an active incident even if absolute utilization is still below threshold.
  • Inode utilization is tracked alongside space utilization, so inode exhaustion from thousands of rotated fragments is caught before it looks like a disk-full incident.
  • Service-level metrics for vpxd, vPostgres, STS, and rhttpproxy correlate the failing service with the filling partition.
  • Anomaly advisories on log volume and error rate can flag the start of a log-bomb spiral before /storage/log crosses the page threshold.
  • Correlation across signals ties the partition-fill event to the upstream cause: NTP drift, certificate expiry, or a new SDK client appearing just before the log rate spiked.
The Netdata solution

VMware vSphere monitoring with Netdata

Netdata auto-discovers vCenter, ESXi hosts, VMs, and datastores through the vSphere API and collects them per second with ML-powered anomaly detection. Correlate CPU ready and co-stop, ballooning and host swap, datastore latency, and snapshot growth against the host and guest signals behind them, so you catch the incidents in these runbooks before they page anyone.