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.
Monitor RabbitMQ clusters, nodes, queues, connections, messages, churn, alarms, and resource usage.
Practical guides for running, troubleshooting, and monitoring RabbitMQ in production.
Diagnose RabbitMQ 'ACCESS_REFUSED - Login was refused using authentication mechanism PLAIN' errors: stale credentials after rotation, disabled users, guest-from-remote, LDAP backend failures, and brute-force floods, plus how to stop the reconnect churn they cause.
Why RabbitMQ connections enter the blocking or blocked state, how to tell it apart from flow control, and how to unblock publishers frozen by a memory or disk resource alarm.
What RabbitMQ's per-connection flow state actually means, how credit-based backpressure works inside the broker, and when sustained flow is a real write-path bottleneck.
Diagnose and stop a RabbitMQ connection storm: reconnect loops driving churn, file descriptor and socket pressure, and Erlang scheduler CPU burned on connection handshakes.
Why RabbitMQ closes channels with 'delivery acknowledgement timed out', how the consumer_timeout mechanism works, and how to diagnose and fix slow or stuck consumers.
RabbitMQ shows consumers attached but ack rate is zero and messages_ready is rising. How to diagnose stuck consumers, zombie connections, and downstream stalls before the memory alarm fires.
Diagnose and recover from the RabbitMQ disk_free_alarm that blocks all publishers cluster-wide when free disk drops below disk_free_limit.
Why RabbitMQ's default 50MB disk_free_limit halts publishing cluster-wide on any modern server, and how to set a safe absolute or relative limit with a sane alerting floor.
Diagnose and fix RabbitMQ file descriptor exhaustion when fd_used approaches fd_total, new connections are refused, and queue file operations start failing.
RabbitMQ has two independent throttling mechanisms: per-connection credit-based flow control (state: flow) and cluster-wide resource alarms (state: blocked). Learn to tell them apart and alert on each correctly.
What the RabbitMQ memory resource limit alarm means, why one node blocks publishers cluster-wide, and how to find and fix the cause without restarting the broker.
How to read RabbitMQ's mem_used and mem_limit, why the ratio is the leading gauge before the memory alarm, and what to do when it climbs past 0.7.
Why RabbitMQ messages disappear after a broker restart: the durable queue plus persistent message requirement, transient traps, and the classic queue fsync gap.
A four-level RabbitMQ monitoring checklist for production brokers, from survival signals like mem_alarm and disk_free_alarm to expert signals like head message age and consumer utilisation.
What the Network Partitions section of rabbitmqctl cluster_status means, how to confirm a real split versus a false positive, and how to respond without making data divergence worse.
How to distinguish a genuinely dead RabbitMQ node from a network-partitioned one, using the running field, partitions array, cluster link traffic, and the quorum-critical check.
How to use rabbitmq-diagnostics check_if_node_is_quorum_critical and the /api/health/checks/node-is-quorum-critical endpoint to gate rolling restarts so you never take a quorum queue below its online majority.
Why RabbitMQ closes your channel with 404 NOT_FOUND when you publish to or consume from an exchange or queue that does not exist, how to find what is missing, and how to stop it recurring after deploys.
Why RabbitMQ closes the channel with 406 PRECONDITION_FAILED when a client redeclares a queue or exchange with different arguments, and how to reconcile it safely.
Diagnose and fix RabbitMQ channel error 405 RESOURCE_LOCKED when a second connection tries to use an exclusive queue still owned by another connection.
Learn everything about monitoring & troubleshooting RabbitMQ, what metrics are important to monitor and why, and how to monitor RabbitMQ with Netdata.
Harnessing Real-Time Insights for Scalable and Reliable Production
Overcoming Cloud Migration Challenges and Enhancing Operational Resilience
Compare the 10 best RabbitMQ monitoring tools for 2026: queue depth, message rates, and broker health tracked by Netdata, Prometheus, Datadog, and more.
See how Netdata can improve visibility, reduce downtime, and simplify monitoring — no commitment required.