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

$ guides / proxysql / proxysql-galera-group-replication-hostgroups ▌

Operations Guides

ProxySQL Galera and Group Replication hostgroups: automatic writer/reader routing

ProxySQL’s mysql_galera_hostgroups and mysql_group_replication_hostgroups tables automate writer/reader hostgroup assignment for synchronous replication clusters. Instead of manually assigning nodes to writer and reader hostgroups in mysql_servers, you define the hostgroup IDs and let the monitor module reassign nodes based on live cluster topology. When a Galera cluster’s active writer shifts during a split-brain resolution, or a Group Replication member wins a primary election, ProxySQL re-routes traffic without operator intervention.

Both cluster types expose their own state. Galera nodes report wsrep_local_state, wsrep_desync, and wsrep_reject_queries. Group Replication nodes report membership state and role through performance_schema.replication_group_members (MySQL 8.0+) or a user-installed sys.gr_member_routing_candidate_status view on older versions. ProxySQL polls these on its monitor interval and moves nodes between writer, reader, backup, and offline hostgroups. This differs from async replication read/write splitting, where ProxySQL relies on read_only checks against statically configured backends. With these tables, the cluster’s own state source is authoritative.

What it is and why it matters

Both mysql_galera_hostgroups and mysql_group_replication_hostgroups share the same table schema. You configure a row that maps four hostgroup IDs to their roles:

ColumnPurpose
writer_hostgroupWhere write traffic goes. Only nodes the monitor confirms as the cluster primary or a synced writer land here.
backup_writer_hostgroupOverflow for writer-eligible nodes when max_writers is exceeded.
reader_hostgroupWhere read traffic goes. Populated from SYNCED or SECONDARY nodes.
offline_hostgroupWhere nodes go when they are not viable (donor, RECOVERING, UNREACHABLE, desynced).
activeEnables or disables the row.
max_writersMaximum number of nodes that can simultaneously occupy writer_hostgroup.
writer_is_also_readerControls whether writers also serve reads (0, 1, or 2).
max_transactions_behindLag threshold. Nodes exceeding this are SHUNNED or moved offline, depending on version.
commentFree text.

Once you insert a row and load it to runtime, the monitor takes over hostgroup management for the referenced nodes. The initial placement in mysql_servers does not matter. ProxySQL reads the cluster state variables and reassigns nodes to the correct hostgroup.

You still need entries in mysql_servers for each backend node, assigned to one of the four hostgroup IDs. The monitor module moves them between hostgroups at runtime based on cluster state. The mysql_servers entry is the registration; the hostgroup table tells the monitor how to interpret each node’s role.

How it works

The monitor module runs Galera and Group Replication checks on separate intervals from the generic ping, connect, and read-only checks. Each module reads cluster-specific state variables and makes assignment decisions.

flowchart TD
    A["Monitor reads cluster state"] --> B{"Galera or\nGroup Replication?"}
    B -->|"Galera: wsrep_local_state"| C{"Synced and\nnot desynced?"}
    B -->|"GR: performance_schema"| D{"Member ONLINE\nwith PRIMARY role?"}
    C -->|"Yes"| E["Candidate for writer"]
    C -->|"No (donor/SST)"| F["offline_hostgroup"]
    D -->|"Yes"| E
    D -->|"SECONDARY"| G["reader_hostgroup"]
    D -->|"RECOVERING/UNREACHABLE"| F
    E --> H{"Active writers\nbelow max_writers?"}
    H -->|"Yes"| I["writer_hostgroup"]
    H -->|"No"| J["backup_writer_hostgroup"]

Galera state checks

For each node in a Galera cluster, the monitor reads three variables:

  • wsrep_local_state: The node’s Galera sync state. Value 4 means Synced. Value 2 means Donor/Desynced, typically because the node is serving a State Snapshot Transfer (SST) or Incremental State Transfer (IST) to another node. Values 1 (Joining) and 3 (Joined but not yet synced) indicate the node is not yet fully operational.
  • wsrep_desync: When set to ON, the node is intentionally removed from the cluster’s flow control. ProxySQL treats this as non-viable for writes.
  • wsrep_reject_queries: When set to a non-zero value, the node rejects all incoming queries. ProxySQL moves it to the offline hostgroup.

Group Replication state checks

A member with state ONLINE and role PRIMARY goes to the writer hostgroup. A member with state ONLINE and role SECONDARY goes to the reader hostgroup. Members in RECOVERING, ERROR, or UNREACHABLE states go to the offline hostgroup.

Recent ProxySQL versions support replica autodiscovery for Group Replication via performance_schema.replication_group_members, reducing manual configuration when nodes are added or removed from the group.

max_writers and backup_writer_hostgroup

When max_writers is set to 1 (the common single-primary case), only one node occupies the writer hostgroup at a time. If the monitor detects multiple synced primary-eligible nodes, it promotes one and moves the excess to backup_writer_hostgroup.

When max_writers is greater than 1 (multi-writer Galera), multiple nodes can simultaneously occupy the writer hostgroup. This is valid for Galera’s multi-primary mode but requires application-level conflict handling for concurrent writes to the same rows.

writer_is_also_reader

This setting controls whether writer nodes also appear in the reader hostgroup:

  • 0: Writers are excluded from the reader hostgroup. All read traffic goes to reader-only nodes.
  • 1: Writers are also placed in the reader hostgroup. Read traffic can hit the writer.
  • 2: Only nodes in backup_writer_hostgroup are also placed in the reader hostgroup. The active writer is excluded.

Setting writer_is_also_reader=2 with max_writers=1 means the active writer is excluded from reads, and only backup writers serve reads. If all backup writers become non-viable, the cluster ends up with no readers. Plan your reader capacity accordingly.

Lag-based behavior

The max_transactions_behind column sets the lag threshold. When a node exceeds this, ProxySQL takes action. The behavior is version-dependent:

  • Group Replication: Before v2.3.0, lagging nodes were moved to the offline hostgroup. v2.3.0 and later SHUNNED instead of moved offline. For Group Replication, v2.3.0 introduced a two-stage shunning process: nodes are first SHUNNED when transactions behind exceed the threshold, then existing connections are terminated if the lag persists and doubles.
  • Galera: Lagging nodes (those with WSREP_LOCAL_RECV_QUEUE above max_transactions_behind) are moved to the offline_hostgroup, dropping existing connections.

SHUNNED is graceful: new queries avoid the node, but in-flight queries complete. Moving to offline_hostgroup is disruptive: connections are killed mid-query.

The Group Replication monitor in recent versions also preserves OFFLINE_SOFT status set by an operator. In older versions, the monitor would override OFFLINE_SOFT on the next state check, making graceful draining impossible during GR hostgroup management.

Where it shows up in production

Galera SST during backups. When a new node joins a Galera cluster or a node restarts, it receives an SST from a donor. The donor node’s wsrep_local_state changes to 2 (Donor/Desynced). ProxySQL moves the donor to the offline hostgroup, removing it from both writer and reader rotation. If the donor was the active writer, there is a detection gap before the monitor promotes a replacement from backup_writer_hostgroup. Schedule SST operations with this in mind.

With xtrabackup-based SST, the donor node may remain capable of serving queries, but ProxySQL still moves it offline based on wsrep_local_state=2. This can reduce capacity unnecessarily during backups.

Group Replication primary failover. When the GR primary fails, the group elects a new primary. ProxySQL’s monitor detects the role change on its next check interval and moves the new primary to the writer hostgroup. The old primary, if it returns as ONLINE with role SECONDARY, goes to the reader hostgroup. During the election window, the writer hostgroup may briefly have no viable nodes.

Node desync for maintenance. Setting wsrep_desync=ON on a Galera node causes ProxySQL to move it to the offline hostgroup. This is useful for planned maintenance, but the node will not receive traffic until wsrep_desync is set back to OFF and the monitor re-checks on its next interval.

Lag spikes during bulk operations. A large INSERT, ALTER TABLE, or batch job on the primary causes replication lag on followers. If lag exceeds max_transactions_behind, ProxySQL shuns the lagging nodes (v2.3.0+) or moves them offline (pre-v2.3.0). Read traffic concentrates on remaining healthy readers, which may also be approaching the threshold.

Tradeoffs and when to use it

Use these tables only with actual Galera or Group Replication clusters. For async replication (primary-replica), use the standard read/write split with read_only checks in mysql_servers and mysql_replication_hostgroups instead. The Galera and GR tables expect cluster-specific state variables and will not function correctly without them.

max_writers=1 creates a hard writer dependency. With a single writer, any issue on that node stops all writes. Failover depends on the monitor detecting the change and promoting a backup writer. Monitor interval length determines detection latency.

writer_is_also_reader=2 can leave you without readers. If all backup writers become non-viable, no nodes serve reads. With writer_is_also_reader=1 or 0, the reader hostgroup has dedicated reader nodes that are not subject to writer-hostgroup churn.

The promotion order is deterministic but not always intuitive. When weights are equal, hostname and port decide which node becomes the writer. A DNS change or a node replacement with a different hostname can shift which node is promoted, even if the previous writer is still healthy.

Configuration sync conflicts in ProxySQL Cluster. When multiple ProxySQL instances sync configuration via proxysql_servers, the Galera or GR hostgroup auto-assignment can conflict with cluster config propagation. If one peer reassigns a node while another is pushing a config update, runtime state may diverge. Monitor stats_proxysql_servers_checksums for divergence when using both ProxySQL Cluster and Galera or GR hostgroups together.

Signals to watch

SignalWhy it mattersWarning sign
runtime_mysql_servers status per nodeShows which hostgroup each node is in and its status (ONLINE, SHUNNED, OFFLINE_SOFT, OFFLINE_HARD).A node stuck in the wrong hostgroup, or the writer hostgroup with zero ONLINE nodes.
Servers_table_version in stats_mysql_globalIncrements when the hostgroup manager reassigns nodes.Rapid increments indicate cluster instability or monitor oscillation.
MySQL_Monitor_connect_check_OK / ERRWhether the monitor can reach backends at all.ERR rate rising means network issues between ProxySQL and cluster nodes.
MySQL_Monitor_ping_check_OK / ERRWhether backends respond to pings.ERR rate rising on a specific node precedes SHUNNED transitions.
ConnERR per backend in stats_mysql_connection_poolFailed connection attempts to specific backends.Rising ConnERR on a node that the monitor reports as ONLINE suggests a credential or firewall mismatch between data-plane and monitor connections.
backend_lagging_during_queryQueries that hit a node after it was detected as lagging.Any non-zero rate means queries were routed to a node that was already behind.
backend_offline_during_queryQueries that were in flight when a backend went offline.Spikes correlate with cluster topology changes (failover, SST, desync).
Per-hostgroup query distributionWhether traffic is balanced across the reader hostgroup.All read traffic on one reader suggests others are SHUNNED or offline.

How Netdata helps

Netdata collects ProxySQL’s internal stats at per-second granularity. During a Galera or GR failover, the metrics that matter are:

  • runtime_mysql_servers transitions. Netdata captures each node’s hostgroup and status changes, so you can pinpoint exactly when a node moved between writer, reader, and offline, and correlate it with system-level events on the backend host.
  • Monitor check failure rates. Spikes in MySQL_Monitor_connect_check or MySQL_Monitor_ping_check errors that precede SHUNNED transitions indicate monitor-driven routing changes, not data-plane failures.
  • Connection pool saturation during failover. When the writer hostgroup loses its active writer, remaining readers absorb redirected traffic. Netdata surfaces ConnUsed, ConnFree, and ConnPool_get_conn_failure per backend, so you can catch pool exhaustion before it becomes a client-visible timeout.
  • Multi-proxy divergence. If you run multiple ProxySQL instances, Netdata lets you compare backend status and routing decisions across peers side by side, catching checksum divergence before it causes split-brain routing.