MySQL Services
We design, optimize, and maintain MySQL databases for web applications and APIs. From initial schema design through production query tuning, replication setup, and migration planning, we treat the database as a first-class engineering concern rather than an afterthought.
Capabilities
What we do with MySQL
Tables · Indexes · Relations
Schema Design
Logical and physical schema design that accounts for query patterns, write volumes, and growth trajectory. We normalize where it matters and denormalize where query performance demands it.
EXPLAIN · Slow query log
Query Optimization
Diagnosing slow queries using EXPLAIN, the slow query log, and performance schema. We optimize the SQL, the indexes, and the application-layer query patterns together.
Primary / replica
Replication Setup
MySQL primary-replica replication for read scaling and high availability. We configure replication correctly, monitor lag, and plan the failover process before the first replica is created.
Schema · Platform
Migration Planning
Migrating schemas between environments, between MySQL versions, or from MySQL to another database. We test compatibility and performance before touching production data.
Managed MySQL
Amazon RDS Configuration
Configuring MySQL on Amazon RDS and Aurora MySQL, including parameter group tuning, storage configuration, backup retention, and multi-AZ deployment for production workloads.
Server-side logic
Stored Procedures and Triggers
Writing stored procedures, functions, and triggers for business logic that belongs close to the data. We also review existing stored procedures and identify candidates for migration to the application layer.
Our approach
Index design is schema design
The indexes on a MySQL table are as important as the columns. We design indexes based on the actual query patterns the application uses, not on what seems like it should be indexed. An over-indexed table is a write-performance problem; an under-indexed table is a read-performance problem.
Replication is not a backup
We configure proper backup procedures separately from replication. Replication propagates writes, including accidental deletes. Point-in-time recovery requires binary log-based backups configured independently of the replication topology.
Application-layer interaction matters
A well-designed schema can still perform poorly if the application issues N+1 queries, holds transactions open too long, or uses connection pooling incorrectly. We review the database interaction layer alongside the schema rather than treating them as separate concerns.
Test on production-sized data
Query plans change at scale. A query that runs in 10 milliseconds on a 10,000-row table may take 30 seconds on a 10-million-row table with the same indexes. We test on representative data volumes before certifying any optimization as production-ready.
All engineering work is done by US-based engineers. We do not offshore any development or architecture work.
Part of our software engineering services. We work across the full stack, cloud platforms, and architectural patterns.
FAQ
Common questions
Virginia · United States
Need MySQL expertise?
If you have a schema to design, a slow query to fix, or a migration to plan, reach out and we will discuss the requirements before any work begins.