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

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

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.
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
> Start monitoring your lab—free
$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
"Absolutely Incredible"

"We tested every monitoring system under the sun." — Benjamin Gabler, CEO Rocket.Net

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

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
See Netdata in Action

Watch real-time monitoring in action—demos, tutorials, and engineering deep dives.

Product demos and walkthroughs
Real infrastructure, not staged
> Start with the 3-minute tour
Level Up Your Monitoring
Real problems. Real solutions. 112+ guides from basic monitoring to AI observability.
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
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

Compliance
SOC 2 Type 2

Audited security controls

GDPR Ready

Data stays on your infrastructure

Blog

Why is data replication important?

Ensuring Data Availability and Integrity Across Systems
by Alex Malkov · October 12, 2022

High availability. This is what every monitoring tool needs to ensure that you never compromise on IT infrastructure visibility. On top of high availability, do you really want to enable all available features on your production system? It is important for the monitoring tool to have a low footprint on your CPU consumption and memory usage. Let’s dive deeper into the recommended way of configuring Netdata to ensure high availability and a low resource footprint through data replication.

First of all, each node monitored by Netdata has the ability to replicate its database to another node monitored by Netdata. Each Netdata node can play the role of a “Parent” (receive metrics) or a “Child” (send metrics). The Parent node can store all data collected by the Child node. This allows replicating collected data across multiple Netdata nodes that can be connected to the Netdata Cloud to increase data availability. 

Netdata Cloud builds an infrastructure topology and directs traffic to available nodes, taking into account the availability aspect, retention, and distance from the production system. In case the data, for the requested time period, is already available on the Parent, Netdata Cloud does not need to query a Child directly as it is more likely running on your production system.

An example

You would like to monitor the Kubernetes cluster. 

In this case, you would probably install Netdata on each node and connect it directly to the Netdata Cloud, as shown in the following diagram.

Data Replication Setup 1

However, if Node 2 were to go down in this scenario, you would lose the data collected on this Node. By introducing the Parent, the data from Node 2 are streamed to the Parent in real-time, allowing you to keep querying the Parent to understand the state of the node before the node goes down, and this data will continue to be available even after Node 2 goes down, as shown in the following diagram.

Data Replication Setup 2

In case you would like to get the full benefit of the Netdata Parent/Child relationship, you can keep all of your Kubernetes nodes, or any other nodes outside of your Kubernetes cluster, inside your Private Network and allow only the Parent to be publicly accessible. 

We recommend setting up two Parents streaming to each-other (active-active) and configuring all of your Children nodes to stream data to any of the Parents.

In this case, you can deploy Netdata as it is shown in the following diagram.

Data replication scenario 3

As you can see, this approach is more secure, as you do not need to expose all your production nodes to the public network. And it is more robust as well, due to high availability. By claiming the Parent node, all Child nodes will appear automatically in the dashboard.

Netdata Parent benefits

Let’s summarize the reasons it is important to introduce Netdata Parent inside your ecosystem:

  • Production nodes are secure and not addressable from the outside world
  • Production nodes do not have (reliable) internet connection
  • Production nodes are ephemeral (can go away at any point in time, but we need to keep their data for post-mortem analysis)
  • Production nodes do not have (or shouldn't provide) the resources for monitoring (when for example we need to maintain long retention or execute a lot of data queries)
  • We need high availability of metric data
In this scenario, you can also play with configuration and tune Netdata to suit your needs.

For example, you do not need to run Machine Learning on every Production Agent (Child) as it can be only enabled on Parent as well as the health checks (alerts). You can attach bigger storage to keep more data on the Parent as you can have some limitations on your Child.

Below there are a few examples for Parent and Child configs. These will allow you to reduce the resource constraints and decrease the load on production systems.

Parent - Child setup

In order to setup a streaming from Child to Parent, we need to instruct the Child to stream data to Parent and for Parent to allow the streaming from a Child. So, both agents need to edit their stream.conf. In addition, when setting up streaming, we use an API key.

To find more details about various configuration setups and options go here

An API key is a key created with by the user with “uuidgen” and is used to provide some level of “security” and/or customization in the Parent side. I.e. a Child will stream using the API_KEY, and a Parent is configured to accept connections from Child but can also apply different options to a child using the API_KEY or to another child using the ANOTHER_API_KEY.

In essence though, every Child on a user’s setup can use the same API_KEY if no special config is required.

In this simple setup (a Child streaming data to a Parent) we need the following configuration:

Child config

The recommended way is to not claim the Child directly during your setup to avoid establishing an ACLK connection between Netdata Agent and Netdata Cloud.

netdata.conf

As already described, it is important to reduce the footprint of the Netdata Agent on your production system; this is why some capabilities can be switched OFF on the Child and keep them ON on the Parent. 

For example, Machine Learning can be disabled on the Child node and allow only the Parent to calculate it for you. The same applies for the Health Checks.

On the child node, edit netdata.conf by using the edit-config script: /etc/netdata/edit-config netdata.conf set the following parameters:

[db]
    # https://learn.netdata.cloud/docs/agent/database
    # none = no retention, alloc = some retention in ram
    mode = alloc
    # in case of alloc, retention in seconds
    # how much tolerance the child has to find a parent in order to transfer the data
    # for IoT can be lowered to 120
    retention = 1200
    # you may increase this to lower CPU resources
    update every = 1
[ml]
    # disable Machine Learning
    enabled = no
[health]
    # disable Health Checks
    enabled = no
[web]
    # disable local dashboard
    bind to = lo
[plugins]
    # disable all external plugins on extreme IoT cases
    # enable running new plugins = no

stream.conf

You would also need to change the edit stream.conf by using the edit-config script: /etc/netdata/edit-config stream.conf to configure multiple parents. The Netdata Child will pick the 1st successful connection to stream data. In case the Parent 1 is not available, it will automatically pick the next one.

Set the following parameters:

[stream]
    # stream metrics to another Netdata
    enabled = yes
    # the IP and PORT of the parent, you can set multiple destinations
    destination = PARENT_1_IP_ADDRESS:19999 PARENT_2_IP_ADDRESS:19999
    # API KEY - created by the user with uuidgen and is used to provide some level of “security” and/or customization in the parent side.
    api key = API_KEY

Parent config

Here, we will not only configure the streaming but also provide an example configuration for the tiering. To learn more about tiering go here. You can also learn more about how Netdata stores metrics here.

Example config for 10 children, for about 2k metrics each. 

  • 1s granularity at tier 0 for 1 week
  • 1m granularity at tier 1 for 1 month
  • 1h granularity at tier 2 for 1 year
Requiring:
  • 25GB of disk
  • 3.5GB of RAM (2.5GB under pressure)

netdata.conf

On the Parent node, edit netdata.conf by using the edit-config script: /etc/netdata/edit-config netdata.conf and set the following parameters:

[db]
    mode = dbengine
    storage tiers = 3
    # to allow memory pressure to offload index from ram
    dbengine page descriptors in file mapped memory = yes
    # storage tier 0
    update every = 1
    dbengine multihost disk space MB = 12000
    dbengine page cache size MB = 1400
    # storage tier 1
    dbengine tier 1 page cache size MB = 512
    dbengine tier 1 multihost disk space MB = 4096
    dbengine tier 1 update every iterations = 60
    dbengine tier 1 backfill = new
    # storage tier 2
    dbengine tier 2 page cache size MB = 128
    dbengine tier 2 multihost disk space MB = 2048
    dbengine tier 2 update every iterations = 60
    dbengine tier 2 backfill = new
[ml] 
    # Enabled by default
    # enabled = yes
[health]
    # Enabled by default
    # enabled = yes
[web]
    # Enabled by default
    # bind to = *

stream.conf

On the Parent node, edit stream.conf by using the edit-config script: /etc/netdata/edit-config stream.conf, and then set the following parameters:

[API_KEY]
    # Allow receiving metrics from other Agents with the specified API key
    enabled = yes

Parent - Parent (active-active) setup

In order to setup an active-active streaming between Parent 1 and Parent 2, you need to instruct Parent 1 to stream data to Parent 2 and Parent 2 to stream data to Parent 1. So, in both, cases need to edit their stream.conf.

On both Netdata Parent nodes, edit stream.conf by using the edit-config script: /etc/netdata/edit-config stream.conf to configure parents synchronization

Set the following parameters on Parent 1:

[stream]
    # stream metrics to another Netdata
    enabled = yes
    # the IP and PORT of the parent, you can set multiple destinations
    destination = PARENT_2_IP_ADDRESS:19999
    # API KEY - created by the user with uuidgen and is used to provide some level of “security” and/or customization in the parent side.
    api key = API_KEY
[API_KEY]
    # stream metrics to Parent 2
    enabled = yes

Set the following parameters on Parent 2:

[stream]
    # stream metrics to another Netdata
    enabled = yes
    # the IP and PORT of the parent, you can set multiple destinations
    destination = PARENT_1_IP_ADDRESS:19999
    api key = API_KEY
[API_KEY]
    # stream metrics to Parent 1
    enabled = yes

Your turn

In case you need more help, please do not hesitate to reach out to us on Discord or Github. We would be happy to understand your challenges and address your needs now or in future releases.