Expert insights on database management, performance optimization, and reliability engineering from industry professionals
Showing 12 of 238 articles
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.
Understand MySQL max_connections, thread caching, and connection pool sizing to handle high-concurrency workloads
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.
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.
Explore TiDB distributed SQL database for HTAP workloads. Learn TiKV/TiFlash architecture, MySQL compatibility, horizontal scaling, and deployment strategies.
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.
Deploy PMM to get deep MySQL and PostgreSQL visibility — query analytics, dashboards, and alerting in one tool
Choose the optimal EC2 instance for your database workload. Compare R, X, I, and Graviton families with real-world benchmarks and cost-performance analysis.
A production guide to online MySQL schema changes — when to use pt-online-schema-change vs gh-ost vs MySQL 8.0 INSTANT DDL, configuration parameters, the cutover mechanism, and a step-by-step safety playbook.
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.
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