MySQL development company
Krapton designs, tunes and scales MySQL databases behind production applications: InnoDB schema work, query and index fixes, replication and failover, managed-cloud migrations, and version upgrades planned so the application keeps serving traffic throughout.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
MySQL work that holds up under load
Krapton is a MySQL development company for teams whose product depends on a relational database that must stay fast, consistent and recoverable as data grows. Most MySQL trouble is not exotic: missing composite indexes, queries that scan millions of rows through an ORM, long transactions that hold locks, replicas drifting behind the primary, and backups nobody has restored. Our engineers start from evidence, using the slow query log, EXPLAIN ANALYZE, Performance Schema and the sys schema to find where time is actually spent. From there the work is concrete: schema and index changes shipped as reviewed migrations, online DDL with gh-ost or pt-online-schema-change for large tables, InnoDB buffer pool and redo log sizing, and replication or Group Replication set up with tested failover. We also say when MySQL is the wrong tool, for example heavy analytical queries that belong in a columnar store, or document-shaped data that fits PostgreSQL JSONB better.
MySQL development services
Schema and index design
Normalized InnoDB schemas with correct primary keys, composite and covering indexes, foreign keys where they help, and data types chosen for storage size, collation behavior and the queries the product actually runs.
Query performance tuning
Slow query log and Performance Schema analysis, EXPLAIN ANALYZE review, rewriting N+1 ORM patterns and correlated subqueries, and index changes measured against production-like data before release.
Replication and high availability
Asynchronous and semi-synchronous replication, Group Replication and InnoDB Cluster with MySQL Router, ProxySQL for read/write splitting, and failover drills so the recovery path is proven rather than assumed.
Cloud and version migrations
Moves from self-hosted MySQL to Amazon RDS, Aurora MySQL, Cloud SQL or Azure Database for MySQL, and upgrades from 5.7 or 8.0 to 8.4 LTS, checked with MySQL Shell’s upgrade checker.
Backup and recovery engineering
Percona XtraBackup or MySQL Shell dump utilities, binary log retention for point-in-time recovery, encrypted off-site copies, and scheduled restore tests that prove each backup produces a working database.
Application data layer work
Stored procedures, triggers and views where they earn their place, plus ORM tuning in Laravel Eloquent, Django, Prisma or Hibernate so the application issues fewer, cheaper queries.
Why teams choose Krapton for MySQL
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Evidence before index changes
Every recommendation is tied to a query digest, an EXPLAIN plan or a Performance Schema metric, so you can see why an index or rewrite is proposed and what it should change.
Schema changes without downtime
Large-table alterations run through INSTANT or INPLACE algorithms where MySQL supports them, and through gh-ost or pt-online-schema-change otherwise, with replica lag monitored throughout the copy.
Honest engine recommendations
If your workload is analytical, heavily JSON-based or needs PostGIS-grade geospatial queries, we will say so and outline the alternative instead of forcing MySQL to do the job.
Runbooks you keep
Handover includes documented my.cnf settings with reasons, backup and restore procedures, failover steps, and dashboards in Percona Monitoring and Management or Grafana that your own team can operate.
How a MySQL project runs with Krapton
01
Workload audit
We review schema, slow query digests, buffer pool hit rates, lock waits and replication health, then rank problems by their effect on users and on data safety.
02
Design and plan
Schema changes, index plans and topology decisions are written up with rollback steps, expected impact and the migration method for each large table.
03
Staged rollout
Changes land first on a staging copy with realistic data volumes, then in production behind replicas or during agreed windows, with metrics compared before and after.
04
Operate and hand over
Monitoring, alerting on replica lag and disk growth, restore tests and upgrade paths are documented so ownership can stay with us or move to your team.
The MySQL stack we build with
MySQL development: questions answered
What does a MySQL development company do beyond writing queries?
It owns the full life of the database, not only the SQL. That covers schema and index design, query tuning, replication and failover, backups with tested restores, version upgrades and cloud migrations. At Krapton the work also reaches into the application, because many MySQL problems start in ORM code that issues hundreds of small queries per request or wraps slow external calls inside open transactions.
When is MySQL the right database, and when is it not?
MySQL fits transactional web and SaaS workloads with well-defined relations, heavy reads and a team that values mature tooling and managed hosting on every major cloud. It is a weaker fit for large analytical scans, where ClickHouse or a warehouse performs better, and for workloads leaning on rich JSON querying, advanced indexing types or extensions, where PostgreSQL usually wins. Many products run MySQL for transactions and stream changes elsewhere for analytics.
Can you upgrade our MySQL 5.7 or 8.0 database to 8.4 without breaking the application?
Yes, provided the upgrade is rehearsed rather than run in place on production. We run MySQL Shell’s upgrade checker, review removed features, SQL mode and authentication changes (8.4 disables mysql_native_password by default), restore a production copy on the new version, and replay real queries against it. A 5.7 server steps through 8.0 first. Cutover happens by promoting an upgraded replica, which leaves the old primary untouched until the new version has proven itself.
How do you scale MySQL when one server is no longer enough?
Usually by fixing queries and indexes before adding hardware or topology. Many apparent capacity limits disappear once execution plans and buffer pool sizing are right. Next come read replicas behind ProxySQL, with care for replication lag on read-after-write paths, then caching hot reads in Redis. Sharding with Vitess or application-level partitioning is reserved for write volumes a single primary truly cannot absorb, because it adds lasting operational cost.
What decides the cost of a MySQL project?
Cost depends on the state of the database and the risk of changing it, not on a fixed rate card. The main drivers are data volume and table sizes, how many applications share the schema, whether migrations must happen with zero downtime, replication and compliance requirements, and how much ORM or stored procedure code needs rework. An initial workload audit usually narrows these into a fixed scope.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.