PostgreSQL HA Expert
Expert Patroni Services
Professional PostgreSQL High Availability Made Simple
Partner with certified Patroni experts to implement PostgreSQL high availability with automated failover, leader election, streaming replication, and cluster management. Our Patroni consultants deliver enterprise-grade HA solutions using etcd, Consul, or ZooKeeper integration.
- Patroni Cluster Setup
- Professional installation and configuration of Patroni clusters with streaming replication.
- Configuration & Tuning
- Optimize Patroni settings for your specific workload and high availability requirements.
- Monitoring & Alerting
- Comprehensive monitoring of cluster health, failover events, and performance metrics.
Integration Options
Flexible Integration Options
Patroni integrates seamlessly with popular distributed coordination systems and cloud platforms.
etcd
Distributed key-value store for reliable cluster coordination and leader election.
Consul
Service mesh solution with built-in service discovery and health checking.
ZooKeeper
Centralized coordination service for distributed applications and systems.
Kubernetes
Cloud-native deployment with Kubernetes operators and StatefulSets.
Complete Patroni Suite
Patroni Services We Provide
From initial cluster setup to advanced disaster recovery, we provide end-to-end Patroni services to ensure your PostgreSQL infrastructure delivers maximum availability and reliability.
Patroni Capabilities
What's Included in Our Patroni Services
Patroni at Enterprise Scale
Our Patroni implementations deliver enterprise-grade availability across all PostgreSQL environments.
- Failover Time
- <30s
- System Uptime
- 99.99%
- Recovery Speed
- Zero-touch
- Response Time
- <24h
Architecture
How Patroni Works: High Availability Architecture
Understanding Patroni's distributed consensus architecture helps you design resilient PostgreSQL clusters.
Leader Election Process
1. Distributed Lock Acquisition
When a cluster starts, each Patroni node attempts to acquire a distributed lock in the DCS (etcd/Consul/ZooKeeper). Only one node can hold the lock at a time, becoming the leader.
2. TTL-Based Leadership
The leader must continuously renew its lock before the TTL (time-to-live) expires. If the leader fails to renew, the lock is released and other nodes can compete for leadership.
3. Standby Promotion
When a standby acquires the lock, Patroni promotes PostgreSQL to primary mode, updates the DCS with the new leader information, and other standbys reconfigure to follow the new primary.
Automatic Failover Flow
Primary Failure Detected
Leader's TTL expires in DCS (typically 30s)
Election Begins
Standbys race to acquire the distributed lock
Best Candidate Wins
Node with latest WAL position wins (configurable)
Promotion Complete
New primary accepts writes, standbys follow
Cluster State & Communication
DCS (Distributed Configuration Store)
The DCS stores the cluster state including leader key, cluster configuration, and member information. All Patroni nodes watch the DCS for changes and react accordingly.
- • /service/cluster-name/leader
- • /service/cluster-name/config
- • /service/cluster-name/members/
REST API Endpoints
Each Patroni node exposes a REST API for health checks, cluster management, and integration with load balancers like HAProxy.
- • GET /primary - returns 200 if primary
- • GET /replica - returns 200 if replica
- • GET /health - cluster health status
- • POST /switchover - trigger switchover
PostgreSQL Streaming Replication
Patroni manages PostgreSQL's native streaming replication. Standbys automatically connect to the primary for WAL streaming.
- • Synchronous or async replication
- • Automatic pg_basebackup for new nodes
- • WAL slot management
- • Replication lag monitoring
Configuration
Patroni Configuration & Deployment Patterns
Production-ready configuration examples for different deployment scenarios.
Basic Patroni Configuration (patroni.yml)
Core settings for a production Patroni cluster with etcd
scope: postgres-cluster
name: pg-node1
restapi:
listen: 0.0.0.0:8008
connect_address: pg-node1.internal:8008
etcd3:
hosts: etcd1:2379,etcd2:2379,etcd3:2379
bootstrap:
dcs:
ttl: 30
loop_wait: 10
retry_timeout: 10
maximum_lag_on_failover: 1048576
synchronous_mode: true
postgresql:
use_pg_rewind: true
parameters:
max_connections: 200
shared_buffers: 2GB
effective_cache_size: 6GB
wal_level: replica
hot_standby: "on"
max_wal_senders: 10
max_replication_slots: 10
initdb:
- encoding: UTF8
- data-checksums
postgresql:
listen: 0.0.0.0:5432
connect_address: pg-node1.internal:5432
data_dir: /var/lib/postgresql/15/main
bin_dir: /usr/lib/postgresql/15/bin
authentication:
superuser:
username: postgres
password: secret
replication:
username: replicator
password: secretHAProxy Configuration for Patroni
Load balancer setup with health checks for read/write splitting
global
maxconn 1000
defaults
mode tcp
timeout connect 10s
timeout client 30m
timeout server 30m
listen postgres-primary
bind *:5000
option httpchk GET /primary
http-check expect status 200
default-server inter 3s fall 3 rise 2 on-marked-down shutdown-sessions
server pg-node1 pg-node1.internal:5432 check port 8008
server pg-node2 pg-node2.internal:5432 check port 8008
server pg-node3 pg-node3.internal:5432 check port 8008
listen postgres-replica
bind *:5001
balance roundrobin
option httpchk GET /replica
http-check expect status 200
default-server inter 3s fall 3 rise 2 on-marked-down shutdown-sessions
server pg-node1 pg-node1.internal:5432 check port 8008
server pg-node2 pg-node2.internal:5432 check port 8008
server pg-node3 pg-node3.internal:5432 check port 80083-Node Cluster (Standard)
Most common setup: 1 primary + 2 standbys. Survives single node failure with automatic failover.
- ✓ Simple to manage
- ✓ Cost-effective
- ✓ Good for most workloads
- ✓ Quorum-based decisions
Multi-DC (Disaster Recovery)
Nodes spread across datacenters with synchronous replication to DR site for zero data loss.
- ✓ Geographic redundancy
- ✓ RPO = 0 (sync mode)
- ✓ RTO < 60 seconds
- △ Higher latency
Kubernetes (Cloud Native)
StatefulSet deployment with K8s endpoints for leader election. Auto-scales with demand.
- ✓ No external DCS needed
- ✓ GitOps deployment
- ✓ Horizontal scaling
- ✓ Operator support
Patroni Best Practices
High Availability
- • Use 3+ node DCS cluster for consensus
- • Enable synchronous_mode for zero data loss
- • Set appropriate TTL (30s recommended)
- • Configure maximum_lag_on_failover wisely
Performance
- • Use PgBouncer for connection pooling
- • Enable pg_rewind for faster rejoin
- • Monitor replication lag continuously
- • Size DCS TTL based on network latency
Security
- • Use TLS for all DCS communication
- • Enable SSL for PostgreSQL replication
- • Restrict REST API access to internal network
- • Use secrets management for credentials
Operations
- • Test failover procedures regularly
- • Monitor Patroni logs and DCS health
- • Use patronictl for cluster management
- • Implement backup strategy with pgBackRest
FAQ
Frequently Asked Questions
Common questions about our Patroni services and PostgreSQL high availability solutions.
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