Expert insights on database management, performance optimization, and reliability engineering from industry professionals
Showing 12 of 387 articles
Deploy PgBouncer in transaction mode for high-concurrency PostgreSQL workloads — config, monitoring, and tuning
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.
Essential MySQL diagnostic queries every DBA needs. Quickly identify slow queries, lock contention, replication lag, memory issues, and connection problems.
Understand Kafka from a database perspective — partitions, offsets, consumer groups, and durability guarantees
Build blazing-fast analytics with ClickHouse columnar database. Learn MergeTree engine, data modeling, query optimization, and cluster deployment strategies.
A comprehensive guide to database connection pooling — comparing PgBouncer, ProxySQL, and HikariCP with configuration examples, pool mode trade-offs, and production sizing recommendations.
MySQL replication filters let you replicate only specific databases or tables — but misconfiguration can silently drop transactions. Here's how to use binlog-do-db, replicate-do-db, and replicate-do-table safely.
Cut DynamoDB costs by 50% or more with capacity mode optimization, TTL strategies, and smart data modeling. Learn on-demand vs provisioned capacity decision frameworks.
Understand MySQL max_connections, thread caching, and connection pool sizing to handle high-concurrency workloads
A comprehensive guide to MySQL replication lag — why it happens, why Seconds_Behind_Master lies, how to measure accurately with pt-heartbeat, and how to fix it with multi-threaded replication and LOGICAL_CLOCK parallelism.
Deep dive into advanced database indexing strategies including composite indexes, covering indexes, and partial indexes. Optimize query performance with expert indexing techniques.
MySQL's EXPLAIN command reveals exactly how the query optimizer plans to execute your SQL — which indexes it will use, how many rows it expects to examine, and where it may sort or create temporary tables.
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