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

The future of infrastructure observability

See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.

AI-native observability
Full-stack signal coverage
Operational intelligence
Enterprise platform maturity
Agent releases every 6 weeks
Cloud continuous delivery
> Explore Product Roadmap

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

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.

See and Map Your Entire Network

Live topology, flow analytics, and SNMP device and trap monitoring — unified with your full-stack observability.

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
> Get the Homelab Plan

$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
Free Video Course

8-episode Netdata tutorial by LearnLinux.tv

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

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.

Deployment & configuration
Troubleshooting & sizing
Alerts & notifications
Evidence-based answers
> Ask Nedi now

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

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
Meet the Team Behind Netdata
Conferences, meetups, and tradeshows where you can see Netdata in action and talk to the engineers who build it.
Live demos and deep dives
Book 1-on-1 meetings
Talks and panel sessions
Event recaps and photos
> See all events
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

Reliability

Understanding Error Budgets And Their Importance In SRE

A Practical Guide to Implementing Error Budgets for Enhanced Service Reliability and Innovation- Key Concepts for DevOps and SRE Professionals
by Netdata Team · May 18, 2025

In the quest for flawless digital experiences, the reality is that 100% uptime is an elusive, if not impossible, goal. Systems inevitably encounter issues, and services can experience disruptions. This is where the concept of an error budget becomes a cornerstone for modern Site Reliability Engineering (SRE) and DevOps practices. Understanding and effectively managing your error budget can mean the difference between fostering innovation and constantly firefighting.

So, what is an error budget? Simply put, it’s the quantifiable amount of unreliability or downtime that a service can tolerate over a specific period without breaching its Service Level Objectives (SLOs) or upsetting users. It’s the acknowledged margin for error, a critical component in balancing the drive for new features with the imperative of maintaining a stable and reliable service. For SRE teams, the sre error budget is not just a metric- it’s a vital tool for decision-making.

The Core Purpose of Error Budgets

Why should you and your tech teams care about error budgets? The primary purpose is to strike a delicate balance between innovation velocity and service reliability. Product owners and development teams are eager to roll out new features and improvements. Simultaneously, operations and SRE teams are focused on keeping services stable and available. An error budget provides a data-driven framework that aligns these seemingly opposing goals.

It tracks whether a company is meeting its contractual promises (often defined in Service Level Agreements - SLAs) and its internal reliability targets (SLOs). More importantly, it acts as a gauge- if you have “room” in your budget, you can afford to take calculated risks, such as deploying new code or experimenting with features. If the budget is depleted, it signals a need to prioritize reliability work over new development. This mechanism prevents organizations from pursuing innovation so aggressively that it jeopardizes the stability customers depend on.

To fully grasp what is an error budget, it’s essential to understand its relationship with other key SRE concepts:

  • Service Level Objectives (SLOs): These are specific, measurable targets for a service’s performance or reliability, agreed upon internally. For example, an SLO might state that a particular API endpoint should successfully process 99.9% of requests over a 30-day window. The slo error budget is derived directly from this. If your SLO is 99.9% availability, your error budget is the remaining 0.1%.
  • Service Level Indicators (SLIs): These are the actual metrics used to measure compliance with an SLO. For an availability SLO, an SLI might be the percentage of successful HTTP requests or the proportion of time a service is accessible. SLIs provide the raw data that tells you whether you’re meeting your SLO and how much of your error budget you’ve consumed.
  • Service Level Agreements (SLAs): These are formal, externally-facing contracts with customers that define the level of service they can expect and often include penalties if these levels are not met. SLAs usually promise a lower level of reliability than internal SLOs to provide a buffer. If an SLO is breached (meaning the error budget is exhausted), it doesn’t necessarily mean an SLA has been violated, but it’s a warning sign.

Consider this example: A service has an SLA promising 99% uptime to customers. Internally, the team sets a more ambitious SLO of 99.9% availability for a 28-day period. The error budget is therefore 100% - 99.9% = 0.1%. In a 28-day window (40,320 minutes), this 0.1% translates to approximately 40.32 minutes of permissible downtime. If the SLI (actual measured uptime) drops below 99.9%, the team has consumed its error budget for that period.

Effectively managing this requires diligent monitoring of your SLIs. Tools that offer real-time, high-granularity metrics are invaluable here, as they allow teams to see trends and react before an SLO is breached and the error budget is fully spent.

Calculating and Using Your Error Budget

The most common way to calculate an error budget is based on time. If your SLO is for 99.95% uptime over a 30-day month (approximately 43,200 minutes):

  1. Calculate allowed downtime: 100% - 99.95% = 0.05%
  2. Convert to minutes: 0.05% of 43,200 minutes = 0.0005 * 43200 = 21.6 minutes.

This means your service can be down for a total of 21.6 minutes in that month before you’ve exhausted your error budget.

Here are a few more examples, often seen in google sre error budget discussions:

  • 99.99% SLO (“four nines”): Allows for approximately 4.38 minutes of downtime per month, or 52.6 minutes per year.
  • 99.9% SLO (“three nines”): Allows for approximately 43.8 minutes of downtime per month, or 8.76 hours per year.
  • 99.5% SLO: Allows for approximately 3.65 hours of downtime per month.

An error budget calculator can be a simple spreadsheet or a more sophisticated internal tool to help teams quickly understand their remaining budget.

The Error Budget Policy in Action

Having an error budget is one thing; knowing what to do with it is another. This is where an error budget policy comes into play. This policy outlines how the organization responds when the error budget is being consumed or is close to depletion.

Key aspects of an error budget policy include:

  • Alerting thresholds: When should teams be notified about error budget consumption? For example, alerts might trigger at 50%, 75%, and 90% consumption.
  • Decision-making framework: Who decides whether to slow down releases or prioritize stability work? Typically, this involves SRE, development, and product teams.
  • Consequences of budget exhaustion: What happens if the entire error budget is spent? This could trigger:
    • A “code freeze” or “feature freeze,” where no new features are deployed until reliability improves.
    • A “code yellow” or “code red,” where all available engineering resources are redirected to fix stability issues.
    • Mandatory rollbacks of recent changes if they are suspected culprits.
  • Post-incident reviews: How are incidents that consumed the error budget analyzed to prevent recurrence?

The goal of an error budget policy is to make SLOs actionable. It transforms the error budget from a passive metric into an active control mechanism for balancing risk and innovation.

Benefits of Adopting Error Budgets

Implementing error budgets brings several significant advantages to technology organizations:

  1. Data-Driven Decision Making: Instead of relying on gut feelings or inter-departmental friction, decisions about release velocity and stability investments are based on objective data. If the service is consistently well within its error budget, it’s a green light for more innovation.
  2. Shared Responsibility: Error budgets create a shared understanding and responsibility for reliability across development, operations, and product teams. Reliability isn’t just “Ops’ problem” anymore.
  3. Fosters Innovation (Safely): By explicitly defining an acceptable level of failure, error budgets empower development teams to innovate and take calculated risks. As long as they stay within the budget, they have the freedom to experiment and deploy new features.
  4. Improved User Experience: Ultimately, the goal is to protect the user experience. Error budgets ensure that reliability doesn’t degrade to a point that significantly impacts customers.
  5. Reduces Blame Culture: When incidents occur, the focus shifts from blaming individuals or teams to understanding why the error budget was consumed and how to prevent it in the future.
  6. Aligns Incentives: It helps align the incentives of developers (who want to ship features) and SREs (who want to maintain stability). Both teams work towards the common goal of utilizing the error budget wisely.

Without a clear view of how system performance impacts your error budget, you’re flying blind. Comprehensive monitoring solutions provide the necessary visibility into your SLIs, allowing you to track error budget consumption in real-time. This proactive approach enables teams to identify and address issues before they exhaust their budget and impact users.

Embracing Reliability Through Error Budgets

Adopting error budgets is a transformative step for any organization serious about site reliability and sustainable innovation. It provides a clear, quantifiable framework for making tough decisions and fosters a culture where reliability is a shared responsibility. By understanding what is an error budget and implementing a robust error budget policy, teams can confidently navigate the trade-offs between launching new capabilities and ensuring their services remain dependable. This proactive stance not only improves system stability but also empowers teams to innovate more effectively.

To truly master your error budgets, you need deep, real-time insights into your system’s performance. Explore how Netdata can provide the per-second granularity and comprehensive metrics you need to effectively monitor your SLIs and manage your error budgets by visiting Netdata’s website.