The only agent that thinks for itself
Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.
Centralized metrics streaming and storage
Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.
Fully managed cloud platform
Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.
Deploy Netdata Cloud in your infrastructure
Run the full Netdata Cloud platform on-premises for complete data sovereignty and compliance with your security policies.
Powerful, intuitive monitoring interface
Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.
Monitor on the go
Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.
The future of infrastructure observability
See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.
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
True Real-Time and Simple, even at Scale
90% Cost Reduction, Full Fidelity
See and Map Your Entire Network
Single Pane of Glass
Control Without Surrender
Integrations
800+ collectors and notification channels, auto-discovered and ready out of the box.
Connect any MCP-compatible AI to your observability data. Automate workflows, playbooks, and incident response.
AWS, GCP, Azure—unified observability across all providers.
On-prem and cloud infrastructure in a single view.
Your metrics stay on your infrastructure. Always.
Reduced monitoring costs by 46% while cutting staff overhead by 67%.
— Leonardo Antunez, Codyas
No data shipping. No central storage costs. Query at the edge.
Real-time connection and device maps, built in the agent — no scheduled discovery scans.
SNMP, flows, traps, and topology unified with your full-stack observability.
So many out-of-the-box features! I mostly don't have to develop anything.
— Simon Beginn, LANCOM Systems
Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.
Enterprise efficiency without enterprise complexity—real ROI from day one.
Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.
Auto-discovered and configured. No manual setup required.
Slack, PagerDuty, Teams, email, webhooks—all built-in.
Built for the People Who Get Paged
Every Industry Has Rules. We Master Them.
Monitor Any Technology. Configure Nothing.
Complete Visibility. Total Control.
Don't Take Our Word for It
Government
Falkland Islands Government
99% less downtime, 30% cloud cost reduction
Transportation
TMB Barcelona
"A rare unicorn that obeys the Pareto rule"
Gaming
Nodecraft
Troubleshooting in 30 seconds, not 3 minutes
Technology
Codyas
46% cost reduction, 67% less monitoring staff
Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.
— Eduard Porquet Mateu, TMB Barcelona
Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.
— Falkland Islands Government
Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.
Reduced monitoring staff by 67% while cutting operational costs by 46%.
— Codyas
Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.
From 2-3 minutes to 30 seconds—instant visibility into any node issue.
— Matthew Artist, Nodecraft
20% less downtime and 40% budget optimization from out-of-the-box monitoring.
Pay per Node. Unlimited Everything Else.
One price per node. Unlimited metrics, logs, users, and retention. No per-GB surprises.
What's Your Monitoring Really Costing You?
Most teams overpay by 40-60%. Let's find out why.
Your Infrastructure Is Unique. Let's Talk.
Because monitoring 10 nodes is different from monitoring 10,000.
Monitoring That Sells Itself
Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.
Per-Second Metrics at Homelab Prices
Same engine, same dashboards, same ML. Just priced for tinkerers.
$1,000 Per Referral. Unlimited Referrals.
Your colleagues get 10% off. You get 10% commission. Everyone wins.
"Netdata's significant positive impact" — LANCOM Systems
Compare vs Datadog, Grafana, Dynatrace
"Cut costs by 46%, staff by 67%" — Codyas
"Reduced cloud bill by 30%" — Falkland Islands Gov
"Better observability with Netdata than combining other tools." — TMB Barcelona
DPA, SLAs, on-prem, volume pricing
One command, 30 seconds, real data—no sandbox needed
Auto-config + per-node pricing = predictable profit
8-episode Netdata tutorial by LearnLinux.tv
3rd most starred monitoring project
Customers report 40-67% cost cuts, 99% downtime reduction
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.
Engineering Insights & Product Updates
Sep 2026
Introducing Infrastructure Knowledge: …
Netdata AI sees everything your …
Aug 2026
Chart Annotations: Pin the Deploy, the …
A chart shows you that CPU jumped at 15:57. …
Introducing MCP Connections: Netdata AI …
Netdata AI can now connect outward to the …
Jul 2026
Native macOS Monitoring: Logs, Sensors, …
We’ve overhauled macOS monitoring in …
Never Fight Fires Alone
Docs, community, and expert help—pick your path to resolution.
60 Seconds to First Dashboard
One command to install. Zero config. 850+ integrations documented.
Level Up Your Monitoring
76,000+ Engineers Strong
Per-Second. 90% Cheaper. Data Stays Home.
See why teams switch from Datadog, Prometheus, Grafana, and more.
Trace issues directly in the source code
Get architecture recommendations
Real-time operational status, incident history, and uptime for all Netdata Cloud services.
Copy, paste, monitoring in 60 seconds
Every collector documented
PostgreSQL, NGINX, K8s, and more
Maturity model and implementation
76k+ stars and growing daily
Engineers helping engineers
Netdata is modern, fast, full-stack observability with per-second metrics, AI-powered troubleshooting, and predictable pricing.
One of the most popular open-source monitoring projects
Enterprise-grade security and compliance
Your metrics stay on your infrastructure
"Most energy-efficient monitoring solution" — ICSOC 2023, peer-reviewed
"Doesn't miss alerts—mission-critical trust for safety software"
Global community improving monitoring for everyone
Trusted by teams worldwide
Free forever, fully open source agent
Work from anywhere, async-friendly culture
Your work helps millions of systems
March 4–5, London, UK
February 13, Bengaluru, India
November 17–19, Las Vegas
Pricing, volume discounts, and enterprise needs
Docs, community, and expert help
Continuous compliance monitoring by Drata. View our live security posture and audit reports.
Learn how the Kafka (Exporter) integration connects with Netdata and how to configure it.
Learn how the Kafka (go.d.plugin prometheus) integration connects with Netdata and how to configure it.
Practical guides for running, troubleshooting, and monitoring Apache Kafka in production.
Diagnose and fix unbounded growth of Kafka's __consumer_offsets topic caused by a stalled or crashed log cleaner thread.
Diagnose and recover when the cluster-wide sum of Kafka ActiveControllerCount deviates from 1, indicating no active controller or split brain.
Diagnose why Kafka clients fail with 'Broker may not be available' even when the bootstrap server is reachable. Covers advertised.listeners misconfiguration, TLS and SASL handshake failures, firewall blocks, and genuine broker outages.
Diagnose and recover when a Kafka broker exhausts disk space on its log directories, including the cliff-edge shutdown behavior, uneven directory fill, and silent compaction failures.
Operational guide to diagnosing CommitFailedException caused by consumers evicted after exceeding max.poll.interval.ms during slow batch processing, and stopping rebalance storms.
Diagnose growing Kafka consumer group lag, convert offsets to time, and identify root causes from slow consumers to broker-side page cache and disk bottlenecks.
Diagnose and fix Kafka consumer groups that rebalance too frequently. Covers heartbeat timeouts, session expiry, max.poll.interval.ms, assignor behavior, and static membership.
Diagnose and fix Kafka consumer groups that oscillate between Stable and PreparingRebalance, driven by max.poll.interval.ms timeouts and client-side processing delays.
Diagnose and recover when the Kafka controller's event queue backs up, stalling leader elections and metadata propagation.
Diagnose elevated disk I/O latency on Kafka brokers using iostat await and LocalTimeMs. Distinguish disk degradation from page cache misses and transient load.
Diagnose rising Kafka FailedProduceRequestsPerSec, correlate with ISR and replication health, and stop producer-visible failures before they cascade.
Diagnose elevated Kafka fetch request latency by distinguishing consumer fetches from replica fetches and identifying page cache misses as the root cause.
Diagnose ISR shrink storms, flapping replicas, and the cascade to offline partitions in Kafka production clusters.
Diagnose and fix Kafka broker JVM heap pressure and Full GC pauses that trigger ISR shrinks, ZooKeeper session timeouts, and request latency spikes.
Diagnose and recover a KRaft quorum that has lost its leader when current-leader drops to -1 and metadata updates freeze.
Diagnose transient and persistent Kafka LEADER_NOT_AVAILABLE errors by correlating leader elections, controller health, ISR state, and offline partitions.
Diagnose and fix silent Kafka log cleaner thread crashes that cause compacted topics like __consumer_offsets to grow without bound.
Troubleshoot Kafka brokers with offline log directories due to disk I/O errors, JBOD failures, and recover partition availability without data loss.
Why acks=all without min.insync.replicas only guarantees leader durability, and how to configure Kafka replication for real fault tolerance without blocking writes.
A production monitoring checklist for Apache Kafka organized by maturity level: survival, operational, mature, and expert signals every SRE should watch.
Diagnose and fix low NetworkProcessorAvgIdlePercent in Kafka, including network thread saturation from TLS handshakes, connection storms, and large fetch responses.
Diagnose persistent NOT_LEADER_FOR_PARTITION errors by distinguishing transient leader elections from controller event queue backup and broker metadata desync.
Diagnose and fix Kafka NotEnoughReplicasException when acks=all writes fail because the ISR shrank below min.insync.replicas.
Diagnose and recover Kafka partitions with no active leader when OfflinePartitionsCount is nonzero.
Fix and prevent Kafka OffsetOutOfRangeException when consumer lag outruns log retention, causing data loss or forced offset resets.
Fix Kafka message-size rejections by aligning producer, broker, topic, replica, and consumer limits end to end.
Diagnose and fix growing Kafka replica fetcher lag before it triggers ISR shrinks and write rejections.
Diagnose and fix Kafka REQUEST_TIMED_OUT errors when acks=all produce requests expire waiting for replication, request queue backup, or slow disk.
Diagnose and fix Kafka broker file descriptor exhaustion caused by log segments and network connections, including quick checks, fixes, and prevention.
What to do when Kafka's UncleanLeaderElectionsPerSec metric rises above zero, confirming silent data loss, and how to recover without deepening the damage.
How to read Kafka's UnderMinIsrPartitionCount metric, distinguish it from under-replication, and confirm producers are actively blocked.
Troubleshoot and clear Kafka under-replicated partitions by identifying lagging followers, correlating disk, network, and GC signals, and applying the right fix without causing further ISR shrink.
Triage ZooKeeper NoNode errors: separate application bugs from session-expiration cascades with read-only checks and mntr signals.
A deep dive into the causes of consumer lag- how to monitor it- and how to tune your Kafka consumers for optimal performance
Unpacking the power of Apache Kafka for modern data pipelines - from real-time analytics to robust messaging systems.
Learn everything about monitoring & troubleshooting Kafka Consumer Lag, what metrics are important to monitor and why, and how to monitor Kafka Consumer Lag with Netdata.
Learn everything about monitoring & troubleshooting Kafka, what metrics are important to monitor and why, and how to monitor Kafka with Netdata.
Learn everything about monitoring & troubleshooting Kafka ZooKeeper, what metrics are important to monitor and why, and how to monitor Kafka ZooKeeper with Netdata.
We ranked 10 Kafka monitoring tools on consumer lag depth, collection resolution, alerting, and cost. See where Netdata, Prometheus, and Datadog land.
See how Netdata can improve visibility, reduce downtime, and simplify monitoring — no commitment required.