PostgreSQL / Advanced: evidence and reliable operations

PostgreSQL β€” Advanced: evidence and reliable operations

Plan performance, flexible data, partition lifecycle and recoverable change.

6 lessons Β· No account required

What you will learn

  • Investigate workload limits without universal tuning claims.
  • Evaluate PostgreSQL recovery, replication and migration boundaries.
  1. 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.

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  2. JSONB 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.

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  3. Partitioning 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.

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  4. Backup, 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.

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  5. Replication, consistency and failover

    Compare physical standby and logical replication contracts, then observe receipt and replay independently. Define write ownership and recovery requirements before failover.

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  6. Operations, 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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