PostgreSQL Savepoints: Partial Recovery in a Transaction
Use PostgreSQL savepoints with explicit partial-failure rules, rollback boundaries, correct release behavior, driver checks, and external side-effect limits.
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Software guides for Python, Git, PostgreSQL, Docker, and Kubernetes. Understand configuration, data boundaries, testing, troubleshooting, and recovery.
Use PostgreSQL savepoints with explicit partial-failure rules, rollback boundaries, correct release behavior, driver checks, and external side-effect limits.
Plan PostgreSQL materialized views with a clear freshness contract, compatible refresh mode, unique-index requirements, safe scheduling, and result validation.
Use PostgreSQL Serializable with whole-transaction retries, fresh decisions, bounded attempts, protected external effects, and realistic concurrent tests.
Plan Kubernetes resource quotas with namespace budgets, LimitRange defaults, rollout headroom, object limits, admission checks, and capacity-aware monitoring.
Design Kubernetes init containers with repeatable setup, narrow mounts and credentials, bounded dependency waits, resource planning, and failed-start tests.
Use Python dataclasses with safe mutable defaults, deliberate equality, explicit validation, careful serialization, and tested frozen-object limits.
Design Python context managers with explicit resource ownership, reliable cleanup, exception behavior, ExitStack composition, and failure-path tests.
Use Git cherry-pick with reviewed commit dependencies, clean worktrees, careful conflicts, traceable backports, tests, and deliberate shared-history decisions.
Plan Git LFS with committed attributes, pointer-aware checkout, artifact access, CI verification, quota review, and complete backup and migration checks.
Design PostgreSQL UPSERT with correct conflict keys, explicit update rules, batch deduplication, authorization, concurrency tests, and useful result handling.