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
Jul 2026
Native macOS Monitoring: Logs, Sensors, …
We’ve overhauled macOS monitoring in …
Jun 2026
Fleet Observability: Linux Edge Device …
It feels less like managing devices and more …
Real Time Network Monitoring: Topology, …
Interface counters tell you a port is busy. …
5 Best SolarWinds Alternatives for 2026
As organizations modernize their …
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.
Keep your gaming platform fast and stable with real-time visibility, ML detection, and AI-powered root cause analysis for 99.9% uptime. Book a demo now!
Diagnose and mitigate hot partitions in Apache Cassandra when a single key concentrates traffic, saturating replicas and spiking tail latency.
Distinguish client-side driver timeouts from server-side ReadTimeout and WriteTimeout in Cassandra, correlate the right signals, and turn the correct knob.
Diagnose server-side Cassandra read timeouts where the coordinator fails to gather enough replica responses within read_request_timeout_in_ms.
Fix high SSTable counts in Cassandra before read amplification crushes latency. Diagnosis, emergency compaction, and root-cause remediation for LCS and STCS.
Localize the single slow OSD blocking client writes, read the op pipeline stage, and decide disk vs network vs op queue.
Diagnose and fix Ceph BLUEFS_SPILLOVER when BlueStore RocksDB metadata overflows the DB partition and tanks OSD commit latency.
Diagnose and resolve Ceph SLOW_OPS warnings where operations exceed osd_op_complaint_time (default 30s) and stall in the OSD pipeline.
Diagnose and break the ZooKeeper/Keeper saturation spiral that turns replicated ClickHouse clusters read-only.
Diagnose and fix ClickHouse P99 query latency spikes caused by tail latency, hot shards, cold data, and resource contention.
Diagnose and fix ClickHouse query storms when max_concurrent_queries is reached, including retry amplification and concurrency saturation.
Diagnose CockroachDB context deadline exceeded errors by tracing KV exec latency, round-trip latency, L0 sublevels, and admission control queues to find the slow layer.
Diagnose and resolve CockroachDB storage_disk_stalled alerts before the node self-terminates to prevent data inconsistency.
Diagnose and resolve ReadWithinUncertaintyInterval restarts in CockroachDB, the near-diagnostic signal of clock skew between nodes.
Diagnose and fix CockroachDB RETRY_SERIALIZABLE errors by distinguishing writetooold, readwithinuncertainty, and txnpush causes and implementing proper retry logic.
Diagnose CockroachDB admission control throttling across its five queues, correlate store-write depth with LSM health, and determine when queuing is protective versus capacity-limiting.
Diagnose and fix Docker container latency caused by CFS CPU throttling, even when average CPU usage looks moderate.
Find and fix Elasticsearch queries that burn CPU and heap. Covers leading wildcards, regex, deep pagination, scripts, and the diagnostic signals that expose them.
Why HAProxy emits 504 Gateway Timeout when timeout server fires, how the backend timeout cascade builds, and how to diagnose it with rtime, qcur, econ, and frontend vs backend 5xx.
What HAProxy Idle_pct actually measures, how to diagnose event-loop CPU saturation when it drops, and why the metric is meaningless when busy-polling is enabled.
A production checklist of the HAProxy signals that matter, organized by monitoring maturity: liveness, backend health, saturation, latency, errors, TLS, and certificate expiry.
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 elevated Kafka fetch request latency by distinguishing consumer fetches from replica fetches and identifying page cache misses as the root cause.
Diagnose and fix Kafka REQUEST_TIMED_OUT errors when acks=all produce requests expire waiting for replication, request queue backup, or slow disk.
Detect elevated etcd latency in Kubernetes before it cascades into control plane saturation, 429 rejections, and cluster-wide write failures.
Diagnose and fix a slow or unresponsive Kubernetes API server. Covers etcd latency, admission webhooks, APF throttling, memory pressure, and re-list storms with concrete checks and fixes.
Diagnose growing log_send_queue_size and redo_queue_size in Always On Availability Groups, estimate failover RTO, and resolve replication lag.
SQL Server Error 825 means a disk read eventually succeeded after retries, but the storage medium is deteriorating and a hard 823/824 is coming.
Diagnose PAGEIOLATCH_SH and PAGEIOLATCH_EX by separating memory pressure from slow storage, using sys.dm_io_virtual_file_stats and wait stats deltas.
Diagnose and fix WiredTiger cache eviction stalls when MongoDB application threads start evicting pages, causing sudden latency spikes.
Diagnose and fix MongoDB connection churn where a climbing totalCreated delta with stable current connections drives thread creation overhead and latency.
Detect, diagnose, and fix high WiredTiger journal sync latency in MongoDB before it stalls j:true and w:majority writes.
Diagnose and fix high MongoDB collection and metadata lock wait times caused by DDL operations such as createIndex, dropIndex, and collMod.
Diagnose MongoDB MaxTimeMSExpired errors. Understand why maxTimeMS kills operations, how to distinguish server-side timeouts from client socket timeouts, and how to find root causes with currentOp and the slow query log.
Diagnose and fix the failure mode where MongoDB queries silently switch to collection scans after an index drop or planner regression, causing read latency to grow with collection size.
Diagnose and fix MongoDB collection scans (COLLSCAN) that cause slow queries by identifying missing indexes, query plan regressions, and inefficient predicates.
Learn why WiredTiger dirty ratio is a stronger leading indicator than cache fill, how to diagnose it before latency spikes, and what to fix.
Diagnose and break the MongoDB WiredTiger cache pressure cascade before eviction stalls and latency spikes bring down your replica set.
Understand how InnoDB purge lag works, why the history list length grows, and how MVCC read views turn a single idle transaction into fleet-wide slowdown.
Diagnose asymmetric routing that hides reverse-path degradation behind healthy forward-path measurements.
How to interpret NGINX timing variables to distinguish backend latency from client-side and disk I/O delays.
Diagnose nginx 499 errors where clients abandon requests before the server responds. Learn to distinguish slow upstreams from network drops and load-balancer noise.
Fix nginx 504 Gateway Timeout by isolating slow upstreams, tuning proxy_read_timeout, and distinguishing 504 from 502.
Interpret NGINX stub_status Reading, Writing, and Waiting states to distinguish healthy keepalive reuse from slow clients, slow upstreams, and connection exhaustion.
Diagnose and fix the cascade failure where one slow upstream exhausts nginx worker connections, overloads healthy backends, and brings down your entire proxy tier.
How nginx's limit_req leaky bucket rate limiting works, why rejected requests return 503 by default, and how to interpret excess rejections in error logs.
A four-level monitoring maturity model for NGINX covering survival, operational, mature, and expert signals every production server needs.
Large upstream responses exceeding proxy_buffers spill to temporary files on disk, causing silent latency spikes with no error log entry.
Triage elevated NGINX $request_time by isolating client-side delays, upstream latency, temp-file spill, and CPU saturation using access log variables and OS signals.
Diagnose and fix nginx upstream timeout errors. Learn to distinguish connect, send, and read phases, interpret retry encoding in $upstream_response_time, and tune proxy_next_upstream without causing cascades.
Understand why nginx buffers client request bodies to temporary files, how client_body_buffer_size controls the threshold, and when to tune or disable buffering for streaming uploads.
A practical troubleshooting guide for diagnosing PostgreSQL slow queries using pg_stat_statements, log_min_duration_statement, auto_explain, and execution plan analysis.
Diagnose and fix Redis latency caused by oversized keys and O(N) commands blocking the single-threaded event loop.
Diagnose Redis main-thread CPU saturation. Learn why single-threaded command execution creates a linear latency ramp, which metrics expose it, and how to relieve the bottleneck.
Diagnose and fix Redis event loop blocking caused by slow commands, Lua scripts, and large key operations.
Diagnose and fix Redis production outages caused by the KEYS command blocking the single-threaded event loop, and replace it with SCAN.
Diagnose and fix elevated Redis fork latency caused by Transparent Huge Pages, NUMA misconfiguration, and memory overcommit issues.
Diagnose and break the Redis memory pressure spiral where eviction, cache misses, and re-population writes feedback into each other.
How to read vSphere's GAVG, DAVG, and KAVG counters to localize high datastore latency to the array, the VMkernel, or both.
What the ZooKeeper fsync warning really means, why it is the most critical disk signal in any ensemble, and how to triage it before it costs you quorum.
Why zk_avg_latency hides write stalls on read-heavy ensembles, and how to monitor zk_updatelatency and zk_readlatency separately to catch them.
Why ZooKeeper fsync latency spikes when the transaction log shares a disk with snapshots, how to confirm it, and how to move the log to a dedicated device safely.
A four-level maturity checklist for monitoring production ZooKeeper ensembles, from liveness and quorum to fsync latency, GC pauses, and data integrity signals.
Stop fearing your rollouts- Learn which deployment KPIs and alerts will make your NGINX-powered progressive delivery a success
A Guide to Synthetic Checks and How Netdata Helps You Monitor Service Healthg
A Comprehensive Guide For DevOps & SRE Professionals
Learn about monitoring & troubleshooting HTTP Endpoints, what metrics are important to monitor and why, and how to monitor HTTP Endpoints with Netdata.
Learn everything about monitoring & troubleshooting Ping, what metrics are important to monitor and why, and how to monitor Ping with Netdata.
Learn about monitoring & troubleshooting TCP endpoints, what metrics are important to monitor and why, and how to monitor TCP endpoints with Netdata.
Learn everything about monitoring & troubleshooting TCP/UDP Endpoints, what metrics are important to monitor and why, and how to monitor TCP/UDP Endpoints with Netdata.
Yellow Brick Road's Monitoring Journey with Netdata
Proactive Strategies for Disk Health and Performance
Optimizing Memory Usage
Tracking Connectivity For Optimal Online Experience
A Game-Changer for DevOps and Developers
Key Strategies For Maintaining Optimal Web Server Health
Ensuring Web Service Availability and Performance
Optimizing DNS Performance for Better Network Efficiency
Techniques for Ensuring Network Availability and Performance
Addressing Performance Hiccups in Kubernetes Deployments
See how Netdata can improve visibility, reduce downtime, and simplify monitoring — no commitment required.