Keep your PostgreSQL database healthy with comprehensive monitoring. This guide covers query latency, connection usage, disk I/O, cache hit ratios, and alerting with pg_stat_statements and Prometheus.
Learn how to evolve your database schema in production without downtime. This guide covers expand-contract patterns, backward-compatible migrations, rollback strategies, and tools.
When to intentionally duplicate data for read performance. Tradeoffs with normalization, update anomalies, and application-level denormalization strategies.
Learn MongoDB and CouchDB data modeling, embedding vs referencing, schema validation, and when document stores fit better than relational databases.
Learn Transparent Data Encryption (TDE), application-level encryption, and key management using AWS KMS and HashiCorp Vault. Performance overhead explained.
Storing state changes as immutable events. Event store implementation, event replay, schema evolution, and comparison with traditional CRUD approaches.
Automatic failover patterns. Health checks, failure detection, split-brain prevention, and DNS TTL management during database failover.
Understand GDPR requirements: deletion, portability, consent, agreements, breach notification. Database implementation strategies.
Learn Neo4j graph database modeling with Cypher. Covers nodes, edges, social networks, recommendation engines, fraud detection, and when graphs are not the right fit.
A practical guide to database indexes. Learn when to use B-tree, hash, composite, and partial indexes, understand index maintenance overhead, and avoid common performance traps.