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-vm-heartbeat-red

Operations Guides

vSphere VMware Tools heartbeat red: guest crash vs extreme CPU starvation

A red guestHeartbeatStatus on a powered-on vSphere VM means VMware Tools has stopped sending heartbeats to the VMkernel. The common assumption is a guest OS crash. The actual cause may be extreme CPU starvation, a hung guest, a crashed Tools process, or a transient vCenter API flap.

The risk is the automation attached to the signal. With vSphere HA VM Monitoring enabled, a sustained red heartbeat plus no I/O causes HA to reset the VM. If the root cause is CPU starvation, the reset does not fix it: the VM returns, gets descheduled again, loses heartbeats again, and HA resets again. A misread cascades into restart loops.

Always correlate heartbeat red with CPU ready time (%RDY), co-stop (%CSTP), and max-limited (%MLMTD) before declaring a crash. Starvation produces a VM that is alive but cannot run the Tools process fast enough to send heartbeats. That distinction decides whether you restart the VM or rebalance the host.

What this means

VMware Tools (or open-vm-tools) runs a process inside the guest that sends periodic heartbeats to the VMkernel via hostd. The API exposes this as guestHeartbeatStatus with four values:

  • green: heartbeat received normally
  • yellow: intermittent heartbeat, often tied to guest load
  • red: no heartbeat received; guest stopped responding or Tools failed to send
  • gray: Tools not installed or status unknown

Red on a VM that vCenter believes is powered on is the ambiguous case. The hypervisor cannot tell, from the heartbeat alone, whether the guest panicked, hung, or simply cannot get enough CPU time to run the Tools process.

VM Monitoring (the HA feature, distinct from host-level HA) does not reset on heartbeat loss alone. It also checks for disk and network I/O activity over an interval controlled by das.iostatsInterval, which defaults to 120 seconds. Only when both heartbeats and I/O are absent for the configured failure interval does HA reset the VM. The failure interval depends on monitoring sensitivity: High is roughly 30 seconds, Medium 60 seconds, Low 120 seconds.

The I/O guard is the single most important differentiator in practice. A CPU-starved VM that is still doing I/O will not be reset, even if its heartbeat is red. A completely stalled VM, with no heartbeats and no I/O, will be reset whether the cause is a crash or a hard hang.

Gray is an instrumentation gap, not an outage. A VM without Tools cannot be heartbeat-monitored, and VM Monitoring has no signal to act on. Treat gray as a Tools installation or startup problem, not as a crash.

Common causes

CauseWhat it looks likeFirst thing to check
Guest OS crash (BSOD or panic)Red heartbeat, I/O stopped, no %RDY elevationConsole screenshot HA saved to the datastore, guest crash dump
Hung guest or deadlockRed or yellow, I/O stalled, low %RDYIn-guest stack trace via console, guest logs
Extreme CPU starvationRed, %RDY high, possibly %CSTP high on SMP VMs, %MLMTD if a limit is setesxtop %RDY, %CSTP, %MLMTD on the host
VMware Tools stopped or crashedRed, guest otherwise responsive, I/O continuesIn-guest Tools service status
Transient API flapGreen to red to green within seconds, no HA eventvCenter health, NTP, vCenter version
Instrumentation gap (gray)No heartbeat signal possibleTools install and running status

Quick checks

# Heartbeat and Tools status per VM (read-only)
Get-VM | Select Name,
  @{N='PowerState';E={$_.PowerState}},
  @{N='ToolsStatus';E={$_.ExtensionData.Guest.ToolsRunningStatus}},
  @{N='Heartbeat';E={$_.ExtensionData.GuestHeartbeatStatus}}

# CPU ready time per VM. Convert raw ms to a percentage:
#   value_ms / (20000 * vCPU_count) * 100 = %RDY
Get-Stat -Entity (Get-VM "myvm") -Stat cpu.ready.summation -Realtime

# On the host running the VM, open the CPU view and read
# %RDY, %CSTP, %MLMTD per VM world
esxtop
#   press 'c' for CPU view

# HA VM Monitoring reset events in the last 24 hours
Get-VIEvent -Types "VmResettingEvent" -Start (Get-Date).AddHours(-24)

# vCenter version and build
$global:DefaultVIServer | Select Version, Build

The das.iostatsInterval cluster setting is not exposed by a single stock cmdlet in every PowerCLI build. Verify it in the vSphere Client under Cluster, Configure, vSphere HA, Advanced Options, and confirm it is 120, not 0. A value of 0 disables the I/O activity guard entirely. Broadcom KB 419168 also says any value below 50 is not recommended because it can cause HA to misinterpret normal resource changes as a Tools heartbeat failure.

The vCenter-side transient gray behavior after a vpxd restart is release-dependent. Treat it as a hypothesis to confirm against the exact vCenter release notes and build; do not assume a fixed version range.

How to diagnose it

flowchart TD
    A["heartbeat red"] --> B{"VM powered on?"}
    B -- no --> C["host failure or power-off"]
    B -- yes --> D{"%RDY / %CSTP / %MLMTD high?"}
    D -- yes --> E["CPU starvation"]
    D -- no --> F{"disk or net I/O continuing?"}
    F -- yes --> G["Tools process issue"]
    F -- no --> H["guest crash or hang"]
    E --> I{"I/O continuing?"}
    I -- yes --> J["HA will not reset"]
    I -- no --> K["HA may reset"]
  1. Confirm the VM is actually powered on. If not, the red is a downstream symptom of a host failure or power-off, not a guest crash.
  2. Pull heartbeat and Tools status. If Tools status shows Tools not running, the red may be a Tools problem, not a guest crash.
  3. SSH to the host running the VM and read %RDY, %CSTP, %MLMTD in esxtop. Elevated ready time with a red heartbeat points to starvation.
  4. Check whether the VM is still generating I/O. If %RDY is high but I/O continues, VM Monitoring will not reset the VM, and the red is a starvation artifact, not a crash.
  5. If %RDY is low and I/O has stopped, the guest has likely crashed or hung. Check the console screenshot HA saved to the VM’s datastore folder for forensic context.
  6. Look for recent VmResettingEvent entries. These tell you whether HA already acted, and when.
  7. Check the vCenter version and whether a vpxd restart preceded the red. Transient red or gray after a restart is often vCenter-side, not guest-side.
  8. Verify das.iostatsInterval. A value of 0 disables the I/O guard and makes HA reset on heartbeat loss alone.

There is no Broadcom-documented CPU ready percentage at which heartbeat delivery is guaranteed to fail. The threshold is environment-dependent, driven by vCPU count, host contention pattern, and how the guest scheduler prioritizes the Tools process. Correlate %RDY spikes with the heartbeat red timestamps in your own environment rather than trusting a fixed cutoff.

Metrics and signals to monitor

SignalWhy it mattersWarning sign
guestHeartbeatStatusPrimary guest liveness signal from ToolsRed on a VM vCenter believes is powered on
CPU ready %RDYDistinguishes starvation from crashSustained elevation correlated with heartbeat red
CPU co-stop %CSTPSMP co-scheduling penaltyElevated on multi-vCPU VMs alongside %RDY
CPU max-limited %MLMTDArtificial CPU limit throttleNon-zero means a forgotten limit is starving the VM
VM disk and network I/OHA guard inputI/O continuing means the VM is alive and HA will not reset
HA VM Monitoring eventsAudit trail of resetsVmResettingEvent without a corresponding host failure
das.iostatsIntervalHA I/O guard window0 disables the guard
VMware Tools statusInstrumentation healthGray means VM Monitoring is blind to this guest

Fixes

If the cause is CPU starvation

Reduce %RDY directly rather than tuning around it.

  • vMotion the VM to a less contended host, or reduce contention on the current host by moving other VMs off.
  • Right-size vCPUs. An oversized SMP VM accumulates co-stop and ready time because the scheduler must find many free pCPUs at once. Fewer vCPUs schedule more easily and often run faster.
  • Remove forgotten CPU limits when %MLMTD is non-zero. Limits throttle identically to contention but are invisible to the guest.
  • Moderate HA sensitivity if resets are firing on load spikes while you fix the host. This does not cure starvation, but it stops the restart loop.

If the cause is a guest crash or hang

  • Review the console screenshot HA saved and the in-guest crash logs (Windows BSOD dump, Linux kernel panic).
  • Treat the crash as an application or OS problem, not a vSphere problem.
  • If crashes repeat, capture a memory dump before restarting so the forensic state is preserved.

If the cause is a Tools process problem

  • Restart the Tools service inside the guest, or reinstall Tools.
  • Confirm the status moves back to green. A VM stuck on gray is unmonitorable by VM Monitoring.

If the cause is HA over-sensitivity

  • Verify das.iostatsInterval is 120, not 0. A value of 0 disables the I/O guard and makes HA reset on heartbeat loss alone.
  • Lower monitoring sensitivity if resets fire on normal load spikes. High, at roughly 30 seconds, is aggressive for loaded VMs that briefly stall the Tools process.

Prevention

  • Monitor %RDY, %CSTP, %MLMTD per VM alongside heartbeat. Starvation is the preventable cause of false red. If you only watch heartbeat, you cannot tell a crash from a scheduling problem.

  • Track das.iostatsInterval as configuration drift, especially in VCF-managed clusters. Broadcom KB 419168 documents VCF 5.2 deployments in which the setting is automatically configured to 0 and recommends restoring the default 120.

  • Keep vCenter patched. If heartbeat-gray follows a vpxd restart, check the vCenter release notes and fixed-build status before treating it as guest-side.

  • Close gray gaps. A VM without Tools is invisible to VM Monitoring. Treat missing Tools as an inventory problem.

  • Watch storage latency too. A VM stalled by extreme datastore latency can look like a heartbeat loss, and if I/O also stops, HA may reset it. See the storage latency guides below.

How Netdata helps

  • Correlate heartbeat red with per-second CPU ready, co-stop, and max-limited on the same view, so starvation is visible next to the symptom rather than in a separate tool.
  • Per-host CPU utilization and per-VM ready time show which host is oversubscribed and needs a vMotion, turning a vague “VM keeps resetting” into a concrete placement decision.
  • HA reset events and configuration drift such as das.iostatsInterval changes surface as events you can alert on.
  • vCenter service health, NTP offset, and version context help separate transient API flaps from genuine guest problems.
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.