Database Insights

A production guide to MySQL slow query log — enabling with long_query_time and log_queries_not_using_indexes, analyzing with pt-query-digest, reading EXPLAIN output, and fixing full table scans and N+1 loops.

Optimize MySQL connection management for maximum throughput. Learn connection pooling with HikariCP, ProxySQL load balancing, and thread pool configuration.

MySQL 8.0 finally supports true descending indexes — eliminating the filesort that MySQL 5.7 required when sorting results in descending order. Here's how descending indexes work and when to add them.

Deploy Airbyte to replicate data from MySQL, PostgreSQL, and MongoDB to your warehouse — connectors, scheduling, and transforms

A complete guide to PostgreSQL memory configuration and performance tuning, covering shared_buffers, work_mem, effective_cache_size, checkpoint tuning, and autovacuum settings that matter in production.

Build fault-tolerant MySQL clusters with Group Replication. Learn multi-primary vs single-primary modes, conflict resolution, network partitioning handling, and failover strategies.

Most MySQL maintenance tasks still rely on cron, but systemd timers offer better logging, dependency management, and failure handling. Here's how to convert your MySQL maintenance scripts to systemd services.

Optimize database performance by choosing the right data types and constraints. Learn about VARCHAR vs TEXT, INT sizes, ENUM optimization, and constraint best practices.

Master Amazon DynamoDB for serverless and high-scale applications. Learn single-table design, GSI/LSI strategies, capacity planning, and cost optimization techniques.

Avoid these common MySQL configuration mistakes that cripple performance. Learn proper buffer pool sizing, connection limits, and InnoDB settings for production workloads.

Performing online schema changes on MySQL tables with triggers is a known pain point — pt-osc creates conflicting triggers, and gh-ost has its own limitations. Here are the safe approaches.

Complete MongoDB guide covering document modeling, aggregation pipelines, sharding, replication, and Atlas deployment. Learn when MongoDB is the right choice for your application.