MySQL runs a large share of the web's production traffic, but most performance problems we're called in for aren't the database's fault — they're unindexed queries, bad schema decisions, or replication set up once and never revisited. We help teams get a MySQL setup that stays fast and predictable as data grows, not just at launch.
MySQL is forgiving early on and unforgiving at scale. A focused consulting engagement finds the problems before your users do.
We profile slow queries with EXPLAIN and real execution data, then fix the indexes and query shapes — not just add caching on top of a slow query.
Primary-replica setups, failover strategy, and read/write splitting configured for your actual traffic pattern, not a generic tutorial setup.
Column types, normalization, and constraints reviewed against how your application actually queries the data.
Version upgrades and engine migrations planned with rollback paths, so schema changes don't mean risky downtime.
The person tuning your queries has done it on production systems before — not learning MySQL internals on your database.
Scoped to the problem you actually have — a slow dashboard query or a full HA rebuild are very different engagements.
Slow query logs, EXPLAIN plans, and index review to find what's actually causing latency.
Primary-replica and multi-node replication for read scaling and failover.
Moving between MySQL versions, hosting providers, or to a different database engine when that's the right call.
Data modeling for new applications or cleanup of schemas that grew without a plan.
Monitoring, backup strategy, and on-call tuning for teams without a dedicated DBA.
Both are solid, mature choices. MySQL tends to be simpler to operate and very fast for read-heavy web workloads; PostgreSQL has richer data types and stronger support for complex queries and constraints. We look at your actual data model and query patterns before recommending one over the other.
Yes. Most slow-query issues come down to missing or wrong indexes, N+1 query patterns from the application layer, or queries that scan far more rows than needed. We profile with the slow query log and EXPLAIN, then fix the root cause.
Yes. We set up and tune primary-replica replication, read/write splitting, and failover strategies, and we review existing replication setups that were configured once and never revisited.
Yes. We handle migrations to PostgreSQL or other engines when the data model or scaling needs justify it, including schema translation, data migration, and a rollback plan — we won't recommend a migration unless it actually solves a problem you have.
Tell us what's slow or what you're planning — we'll scope a fixed approach, whether it's a quick tuning pass or a full replication rebuild.