Tepia designs and manages databases: PostgreSQL schemas, safe migrations, tuning, tested backups and audit ready access. 3 to 8 week engagements.
Tepia designs, tunes and manages the databases behind custom software: PostgreSQL schemas modeled on your real workflows, migrations that do not lose data, backups that restore, and query performance your users can feel. US led, documented, and handed over.
Tepia designs schemas from your User Stories so the data model matches the business and new features stop fighting the database.
Read: Backend and Cloud Development
Tepia runs actual restore drills with point in time recovery, because an untested backup is a hope rather than a plan.
Read: Legacy System Modernization
Live schemas change through small, staged migrations: add, backfill, switch, retire. No weekend cutover anyone has to fear.
Read: Cloud Architecture (AWS, Azure, GCP)
Every engagement ends with a written data model and conventions your engineers follow, so you own your data layer outright.
Read: Data Analytics & DashboardsIndustry figures Tepia plans around when scoping data work.
Engineering postmortems routinely trace around half of perceived app slowness to database queries and missing indexes.
People spend around 88 percent of mobile time inside apps, per eMarketer, and every screen leans on the data layer.
Schema problems fixed at design time take a fraction of the effort compared with fixing them after data spreads through a live system.
Slow screens, wrong reports and painful features usually trace back to one place: a schema that no longer matches how the business works. Data models drift, columns get reused, and every new feature takes longer than the last. Tepia designs databases from the workflows in your User Stories, so the model matches the business and features stop fighting the data.
Tepia has designed and operated the data layer behind thirteen years of client products, from grocery ordering at Mother’s Nutritional Center to IoT device data at Maximum Controls.
| Service | What Tepia delivers |
|---|---|
| Schema design | A PostgreSQL model built from your workflows, with constraints that keep data honest |
| Migrations | Versioned, reversible schema changes that ship with the code that needs them |
| Performance tuning | Query analysis, indexing and caching where users feel the slowness |
| Backups and recovery | Automated backups, tested restores, point in time recovery |
| Access and audit | Least privilege roles, encryption at rest, audit logs for regulated data |
| Reporting foundations | Read models and exports that keep analytics off the production hot path |
Most database work happens on live systems, so the method matters as much as the target. Tepia changes schemas in small, reversible migrations: add the new structure, backfill, switch reads, then retire the old shape. No big bang conversion, no weekend everyone fears.
Performance work follows the same discipline: measure first with real query plans, fix the top offenders, measure again. Users feel the difference in the screens they open most, which is the only metric that matters.
Discovery investigates your current data model, the queries that hurt and the reports people build around the system, and produces an Investigation Summary with a target model. Design maps every workflow to the schema before a migration is written. Development ships migrations alongside application changes, tested on production like data.
Testing includes restore drills, because a backup that has never been restored is a hope, not a plan. Training documents the model and conventions for your engineers, and Support stays available for the changes that follow. The work pairs naturally with backend and cloud development and legacy system modernization.
Reports disagree with each other, simple features take weeks because of data gymnastics, the one engineer who understands the schema is a single point of failure, or growth is making yesterday’s queries slow. Any one of these pays for the fix.
Focused schema and migration work typically runs 3 to 8 weeks depending on system size. Tepia hands over a documented model, which is the difference between owning your data and renting it from your own codebase.
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