Deep dives on PostgreSQL, MySQL, MongoDB and more — performance tuning, high availability, migrations and production war stories from our DBAs.
397 articles
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Complete guide to StarRocks monitoring with Prometheus and Grafana. Covers resource saturation, cluster health, and application availability alerts with PromQL expressions and runbooks.
Showing 12 of 397 articles
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
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
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
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