Database Insights

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

Configure pgBackRest for full, differential, and WAL archiving backups with S3 storage and point-in-time recovery

Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime

Manage MySQL binary logs safely — set retention, purge old logs, and avoid disk exhaustion in production

Fine-tune PostgreSQL autovacuum to eliminate dead tuples, prevent table bloat, and maintain query performance

Use MySQL Performance Schema to profile queries, monitor memory, and diagnose bottlenecks without guesswork

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production