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.
Monitor ClickHouse connections, queries, resources, replication, I/O, and data operations through its HTTP interface and system tables.
Practical guides for running, troubleshooting, and monitoring ClickHouse in production.
Operational guide to diagnosing and stopping ClickHouse active part count growth before it triggers insert delays, throttling, or too-many-parts errors.
Diagnose and recover when ClickHouse loses its ZooKeeper or ClickHouse Keeper coordination layer, including connection checks, 4lw probes, and replica readonly states.
Detect and remediate ClickHouse data corruption from checksum mismatches, broken parts, and detached parts before replication divergence spreads.
Troubleshoot and resolve ClickHouse exception code 252 when inserts fail because a partition has accumulated too many active parts.
Understand why ClickHouse DelayedInserts climbs, how the insert throttle works, and what to check before inserts start rejecting.
Why ClickHouse background merges need temporary disk headroom and how crossing the 85-90% threshold triggers a self-reinforcing spiral of stalled merges, accumulating parts, and accelerating consumption.
Understand ClickHouse disk space as an operational dependency, not just capacity. Interpret system.disks metrics, maintain merge headroom, and avoid the disk space death spiral.
Diagnose and fix ON CLUSTER DDL queries that hang or never finish in ClickHouse. Identify stuck hosts, reconcile schema drift, and restore coordination with ZooKeeper or Keeper.
Diagnose why ClickHouse queries scan every row and how to fix partition pruning and primary key misalignment.
Diagnose and break the ZooKeeper/Keeper saturation spiral that turns replicated ClickHouse clusters read-only.
Why ClickHouse is killed by the Linux OOM killer even when internal memory tracking looks healthy, and how to close the gap between RSS and MemoryTracking.
Operational guide for identifying, diagnosing, and terminating ClickHouse queries that consume excessive resources or stall indefinitely.
Troubleshoot ClickHouse error code 241 when per-query memory limits breach, including high-cardinality GROUP BY, unbounded DISTINCT, and Cartesian-product JOINs.
Diagnose and fix the ClickHouse server-wide MEMORY_LIMIT_EXCEEDED error (code 241) when MemoryTracking hits max_server_memory_usage.
Diagnose and break the feedback loop where memory pressure, query kills, retries, and spill-to-disk compound into cascading failure.
Break the feedback loop where ClickHouse inserts outrun background merges, parts pile up, and writes are delayed or rejected.
Diagnose why ClickHouse background merges stall, starve, or fall behind, and fix the root cause before parts accumulate into a rejection crisis.
A production monitoring checklist for ClickHouse organized by maturity level, from survival signals to expert diagnostics.
Diagnose and recover stuck ClickHouse mutations when parts_to_do stops decreasing, including quick checks, root causes, and safe remediation steps.
Why ALTER UPDATE/DELETE mutations starve the merge pool, how to spot the starvation before parts explode, and what to do about it.
Emergency recovery procedures and root-cause analysis for ClickHouse servers that hit disk-full conditions, including safe space reclamation and merge death-spiral prevention.
Triage a ClickHouse query error spike by exception code. Diagnose memory limits, too many parts, ZooKeeper issues, and schema drift using system.query_log and system.events.
Diagnose and fix ClickHouse P99 query latency spikes caused by tail latency, hot shards, cold data, and resource contention.
Diagnose and recover a ClickHouse replica that has silently diverged from its peers using SYSTEM RESTART REPLICA and SYSTEM RESTORE REPLICA.
Diagnose ClickHouse replication lag using system.replicas, system.replication_queue, and background pool signals. Learn to tell a saturated fetch pool from a stuck mutation or a readonly replica.
Diagnose and fix stuck ClickHouse replication queue entries by reading num_tries, last_exception, and entry types instead of relying on delay alone.
Understand how single-row and micro-batch inserts create part accumulation in ClickHouse, the signals that expose the pattern, and the client-side fixes that actually work.
Diagnose and recover replicated ClickHouse tables stuck in readonly mode caused by lost Keeper sessions, coordination failures, or quorum loss.
How high-cardinality partition keys in ClickHouse create thousands of isolated part pools, why parts never merge across partitions, and how this drives per-partition limit violations.
Diagnose and fix ClickHouse query storms when max_concurrent_queries is reached, including retry amplification and concurrency saturation.
Diagnose and recover when ClickHouse replicas lose ZooKeeper sessions, become read-only, and stop accepting writes.
Understand when ClickHouse server-side async insert buffering genuinely reduces part creation versus when it silently relocates too-many-parts risk into an in-memory buffer.
Learn everything about monitoring & troubleshooting ClickHouse, what metrics are important to monitor and why, and how to monitor ClickHouse with Netdata.
The 10 best ClickHouse monitoring tools ranked for 2026: coverage depth, data resolution, alerting, and real cost shape, from Netdata to Site24x7.
Slow queries, running operations, deadlocks, and errors for PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, and more.
See how Netdata can improve visibility, reduce downtime, and simplify monitoring — no commitment required.