PostgreSQL / Advanced: evidence and reliable operations
PostgreSQL β Advanced: evidence and reliable operations
Plan performance, flexible data, partition lifecycle and recoverable change.
What you will learn
- Investigate workload limits without universal tuning claims.
- Evaluate PostgreSQL recovery, replication and migration boundaries.
Performance investigation and estimate quality
Diagnose a slow dispatch report from query work, estimates and resource waits. Make performance changes with representative evidence instead of universal memory or planner switches.
Start learningJSONB data and index strategies
Store flexible parcel metadata with typed relational boundaries. Distinguish json from jsonb, missing paths from JSON null, and operator-specific indexes.
Start learningPartitioning and data lifecycle
Use time partitions for a justified retention and query pattern. Explain routing, pruning, uniqueness and maintenance instead of treating partitioning as universal acceleration.
Start learningBackup, restore and point-in-time recovery
Choose logical or physical artifacts from recovery objectives and rehearse a complete restore chain. Separate crash recovery from undoing a committed business mistake.
Start learningReplication, consistency and failover
Compare physical standby and logical replication contracts, then observe receipt and replay independently. Define write ownership and recovery requirements before failover.
Start learningOperations, migrations and reliability
Connect query correctness to controlled PostgreSQL service changes. Review version compatibility, transactional DDL exceptions, connection budgets and reversible cutover evidence.
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