MySQL
MySQL is the world's most popular open-source relational database, powering some of the largest web applications and services globally. With proven scalability and reliability, I leverage MySQL for high-performance database solutions.
Overview
MySQL has been the database of choice for web applications since 1995, powering platforms like Facebook, Twitter, YouTube, and WordPress. Acquired by Oracle in 2010, MySQL continues to evolve while maintaining its open-source roots through the Community Edition. Its simplicity, performance, and reliability make it ideal for web-scale applications.
My MySQL Experience
I have deployed MySQL in high-traffic web applications, implemented replication for read scaling and high availability, optimized slow queries, and managed database migrations. My experience includes both traditional deployments and managed cloud services like AWS RDS.
High-Traffic Deployments
Architected MySQL solutions handling millions of queries per day, implemented master-slave replication with multiple read replicas for horizontal read scaling, configured ProxySQL for intelligent query routing, and optimized InnoDB buffer pool and other critical parameters for workload characteristics.
Query Optimization
Used EXPLAIN to analyze query execution plans, created covering indexes to avoid table lookups, optimized JOIN operations with proper index selection, configured query cache for frequently accessed data (pre-8.0), and denormalized schemas where appropriate for read performance.
Operational Excellence
Implemented automated backup strategies with mysqldump and binary logs, configured monitoring with MySQL Enterprise Monitor and open-source tools, performed zero-downtime schema migrations using pt-online-schema-change, and established disaster recovery procedures with point-in-time recovery.
Key Strengths
MySQL's core strengths include proven reliability at web scale, excellent read performance with optimization, mature replication capabilities, extensive ecosystem and tooling, straightforward administration, wide adoption and community support, multiple storage engine options, and strong managed service offerings from major cloud providers.
Architecture Best Practices
Best practices include master-slave replication for read scaling, ProxySQL or MySQL Router for connection management, proper indexing strategy (avoid over-indexing), partitioning large tables by date or key ranges, regular optimization with ANALYZE TABLE, monitoring slow query log, and implementing connection pooling at application layer.
Common Use Cases
MySQL is ideal for web applications (LAMP/LEMP stack), content management systems like WordPress, e-commerce platforms with read-heavy workloads, SaaS applications requiring multi-tenancy, data warehousing for small to medium datasets, logging and analytics applications, and embedded database applications.