Database Insights

Use Azure Cosmos DB for globally distributed workloads — consistency levels, partitioning, and API choices

A practical guide to database sharding strategies — hash sharding, range sharding, directory-based sharding — with trade-offs, resharding complexity, and decision criteria for MySQL and PostgreSQL.

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Model data in Cassandra around query patterns — partition key design, clustering columns, and anti-patterns to avoid

Compare CDC, ETL, and ELT — latency, complexity, cost, and when each pattern fits your data pipeline needs

Configure PostgreSQL logical replication for selective table sync, zero-downtime upgrades, and multi-tenant setups

Comprehensive summary of database schema design best practices for scalability. Quick reference guide covering all essential patterns, anti-patterns, and optimization techniques.

Use Apache Airflow to orchestrate database ETL, backup jobs, and maintenance tasks — DAGs, sensors, and best practices

Use Kafka Connect source and sink connectors to stream data between databases, warehouses, and event systems

A practical guide to Redis use cases in production — cache-aside pattern, sliding window rate limiting, Pub/Sub vs Streams, BRPOP queues with delayed job scheduling, and session storage with persistence configuration.

Understand Kafka from a database perspective — partitions, offsets, consumer groups, and durability guarantees

A comprehensive guide to database connection pooling — comparing PgBouncer, ProxySQL, and HikariCP with configuration examples, pool mode trade-offs, and production sizing recommendations.