
Database Migration Strategies for Zero-Downtime Deployments
Run database schema migrations without downtime using expand-contract patterns, backward-compatible changes and phased rollouts that keep serving traffic.
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Run database schema migrations without downtime using expand-contract patterns, backward-compatible changes and phased rollouts that keep serving traffic.

Configure and tune database connection pools for high-throughput Node.js: pool sizing, health checks, connection lifecycle and what exhausts a pool.

Build CDC pipelines that stream database changes downstream in real time: log-based capture with Debezium, event formats, schema evolution, exactly-once.

Compare offset, cursor and keyset pagination with practical implementations: performance characteristics, trade-offs and where each one fits your API.

A practical breakdown of read uncommitted, read committed, repeatable read and serializable: the anomalies each prevents and what they cost you.

A practical guide to database sharding: partitioning strategies, shard key selection, cross-shard queries and the operational cost of distributing data.

Redis data structures beyond strings: sorted sets for leaderboards, streams for event logs, HyperLogLog for cardinality and bitmaps for feature flags.

How to configure and monitor database connection pools — covering pool sizing, leak detection, failover handling, and common misconfiguration pitfalls.

Patterns for integration tests that are reliable, fast, and catch real bugs — covering database setup, API testing, and avoiding flaky test syndrome.

Practical techniques for identifying and fixing slow SQL queries using EXPLAIN plans, indexing strategies, and query restructuring patterns.

Opening a new database connection per request is a silent performance killer — connection pools solve this with a managed set of reusable connections.

Schema changes are the most dangerous deploys — here are the patterns for zero-downtime migrations, rollback safety, and avoiding data loss.