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SAYGINSOFT BİLİŞİM HİZMETLERİ

Solutions · 03

PostgreSQL Expertise

We run your PostgreSQL estate with the same discipline as SQL Server: performance analysis, maintenance, replication, high availability, backup and version management, using methods and tools native to its ecosystem.

01Problems we solve

What organisations most often face in this area.

  • P.01

    Bloated tables and slowing queries

    Autovacuum is not tuned to the workload; dead tuples (bloat) grow and plans degrade.

  • P.02

    Hitting the connection limit

    Applications connect straight to the database; there is no connection pool, or it is sized wrongly.

  • P.03

    Replication lag and failover uncertainty

    Standby lag is not monitored; nobody has defined what happens if the primary fails.

  • P.04

    Version and backup risk

    Major versions out of support; point-in-time recovery (PITR) has never been tried.

02PostgreSQL architecture

Replication, pooling, archiving and automatic failover.

A typical production PostgreSQL design. Components are chosen to fit the workload and continuity targets.

Illustrative example — not real client data

ApplicationsConnection poolPrimary

↓ Streaming replication ↓

Synchronous standbyAsynchronous standby
WAL archive and backup (PITR)Cluster manager

Maintenance board — table bloat

  • order_linesNeeds tuning
  • stock_movementsWatching
  • customerHealthy
  • session_logNeeds tuning

Relative dead-tuple ratio; autovacuum is tuned per table.

03Our approach

How we work.

  1. 01

    Measure

    pg_stat_statements, the pg_stat_* views and logs give the workload and wait profile.

  2. 02

    Maintenance and configuration

    Autovacuum, memory and checkpoint settings are tuned to the workload; bloat is brought under control.

  3. 03

    Continuity

    Streaming replication, automatic failover and WAL-archived backups are built and tested.

  4. 04

    Ongoing management

    A version plan, monitoring and regular health checks bring the estate into operations.

04Technical scope

Engineering depth.

Performance

  • pg_stat_statements analysis
  • Plan review with EXPLAIN (ANALYZE, BUFFERS)
  • Index strategy (B-tree, GIN, BRIN, partial indexes)
  • Connection pooling

Maintenance and administration

  • Autovacuum and statistics tuning
  • Bloat monitoring and removal
  • Role, schema and privilege management
  • Major version upgrades (pg_upgrade, logical replication)

Replication, HA and backup

  • Streaming replication (synchronous / asynchronous)
  • Logical replication
  • Automatic failover with a cluster manager
  • WAL archiving and point-in-time recovery (PITR)

05Value to the organisation

What changes for management.

Equal depth

PostgreSQL estates are run to the same standard, on-call rotation and reporting as SQL Server.

Predictable performance

Because maintenance and configuration fit the workload, performance does not decay over time.

Proven continuity

Failover and failback are rehearsed; target data loss and recovery time are known.

Related solutions

Let's review your environment together.

Let's clarify the current state with a discovery call or a health assessment and set priorities together.