Database Insights

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.

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

Understand MySQL max_connections, thread caching, and connection pool sizing to handle high-concurrency workloads

Deep dive into advanced database indexing strategies including composite indexes, covering indexes, and partial indexes. Optimize query performance with expert indexing techniques.

Understand RDS Multi-AZ for HA and Read Replicas for read scaling — failover behavior, replication lag, and costs

Explore the trade-offs between database normalization and denormalization for optimal performance. Learn when to normalize for data integrity and when to denormalize for query speed.

Design MongoDB sharded clusters — choose shard keys, manage chunk balancing, and avoid hot shards in production

Choose between ElastiCache Redis and Memcached — data structures, persistence, replication, and cost considerations

Configure Redis Cluster for horizontal scaling — hash slots, replication, failover, and client-side routing

Use Aurora Serverless v2 for cost-effective scaling — ACU configuration, scaling behavior, and when it fits

Complete MongoDB guide covering document modeling, aggregation pipelines, sharding, replication, and Atlas deployment. Learn when MongoDB is the right choice for your application.

Implement zero-downtime database migrations with versioning strategies. Learn about Flyway, Liquibase, schema evolution patterns, and rollback strategies.