Database Insights

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

Apply DynamoDB advanced patterns — GSI overloading, sparse indexes, single-table design, and access pattern modeling

Choose the right Cassandra compaction strategy for your workload — STCS for write-heavy, LCS for read-heavy, TWCS for time-series

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

Compare Redis RDB snapshots and AOF logging — durability trade-offs, performance impact, and recovery scenarios

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

Master MongoDB aggregation pipeline stages — $lookup, $group, $facet, explain plans, and index optimization

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

Define meaningful SLOs and SLAs for your database tier — latency, availability, durability, and error budgets

A practical runbook for database incidents — triage, diagnosis, escalation, and post-mortem for MySQL and PostgreSQL

Set up MySQL Orchestrator for automatic failover, topology discovery, and master election at scale

Size and configure the InnoDB buffer pool correctly to maximize cache hit ratios and minimize disk I/O