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PostgreSQL Replication Deep Dive: From High Availability to Multi-Master Clusters

Posted on October 8, 2025October 8, 2025 by admin

Monitoring and Tuning Replication Lag

Replication lag means your replica is behind the primary.
Too much lag can cause stale reads or failed failovers.

Check lag:

SELECT application_name, write_lag, flush_lag, replay_lag
FROM pg_stat_replication;

Common causes:

  • Slow disk on replica
  • Network latency
  • WAL retention too low (wal_keep_size too small)
  • High write load on primary

Tuning tips:

SettingDescription
wal_keep_sizeKeep enough WAL files so replicas don’t fall behind
max_wal_sendersAllow enough replicas to connect
checkpoint_timeoutAdjust to control WAL file rotation
hot_standby_feedbackPrevent conflicts with vacuum

You can also monitor replication lag using:

  • pg_stat_replication view
  • Prometheus + Grafana dashboards
  • pg_stat_activity for long queries on replicas

Backup and PITR (Point-In-Time Recovery)

Replication isn’t a backup.
If you delete data by mistake, the replica will delete it too.

Always keep backups with pg_basebackup and WAL archiving for Point-In-Time Recovery (PITR).

Example:

restore_command = 'cp /var/lib/postgresql/wal_archive/%f %p'

Summary

GoalTechniqueTool
High AvailabilityReplication + FailoverPatroni, Stolon, pg_auto_failover
Read ScalingStreaming replicationpgpool-II, HAProxy
Multi-MasterLogical replication (BDR)BDR, pglogical
MonitoringReplication lag & metricsPrometheus, Grafana
Disaster RecoveryPITRWAL archiving

With the right setup, PostgreSQL can achieve near-zero downtime, reliable failover, and even global data consistency.

Related posts:

PostgreSQL Write-Ahead Log (WAL): Durability, Performance Tuning, and Recovery Explained

Understanding PostgreSQL WAL, Slot, Publication, LSN, and Replication Lag

Smart Automation in PostgreSQL: Managing Time-Based Data with pg_partman and pg_cron

See also  Debezium Architecture – How It Works and Core Components
Pages: 1 2 3 4
Category: PostgreSQL

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