Administration We keep production databases healthy: tested backups and PITR, replication and failover, tuning, patching, and monitoring you can actually read.
Backups you have actually restored, failover that works on a bad day, and a database that stays fast under real load. We run Postgres, MySQL, SQL Server, and Mongo in production, and hand you runbooks, not mystery.
What’s inside
Backups, PITR & disaster recovery Replication & high availability Performance tuning & indexing Upgrades & patching Monitoring with Grafana Analysis We turn raw tables into answers, optimized queries, governed warehouses, ETL pipelines, and BI dashboards leadership trusts.
Slow reports, numbers that disagree across teams, and dashboards no one believes, we fix the layer underneath. Optimized queries, a governed warehouse, and BI people actually use.
What’s inside
Query optimization Reporting & BI in Tableau Data warehousing ETL pipelines Dashboards leadership trusts Development We build the data layer: versioned migrations, stored procedures, APIs over your data, and tests that catch regressions before deploy.
Versioned migrations, server-side logic where it belongs, and APIs that expose your data safely. We write the database code your app team can ship against, SQL and NoSQL, tested and reviewable.
What’s inside
Schema migrations Stored procedures & functions APIs over your data SQL and NoSQL Testing Design We model data right the first time, normalized schemas, the correct SQL-or-NoSQL call, a partitioning plan, and constraints that protect your data.
Most production pain traces back to an early modeling shortcut. We design schemas that are normalized where it counts, pick the right engine for the workload, and plan for scale before it’s an emergency.
What’s inside
Data modeling & normalization Choosing SQL vs NoSQL Partitioning & scaling Integrity & constraints Documentation
