Tepia builds CI/CD pipelines: automated builds, test gates, staged rollouts and monitoring for web and mobile. Working pipeline in 4 to 8 weeks.
Tepia builds DevOps pipelines that take code from commit to production safely: automated builds, test gates, staged rollouts and monitoring, for web backends and iOS and Android apps alike. Most pipelines are running within 4 to 8 weeks.
Tepia builds pipelines where every commit builds, tests run automatically and shipping is a button, so the safe path is the easy path.
Read: Mobile App Release Management
Every pipeline ships with a staged rollout and a rollback path Tepia proves in a deliberate failure drill before handover.
Read: Backend and Cloud Development
Signed builds, TestFlight and Play beta tracks, release trains and phased store rollouts, automated end to end by Tepia.
Read: QA & Automated Testing
Pipelines run in your own GitHub and cloud accounts with documentation, so nothing has to be unwound later.
Read: App Maintenance and SupportIndustry figures Tepia plans around when scoping devops work.
High performing teams deploy on demand, often multiple times a day, according to DORA State of DevOps research.
More than three quarters of new app users stop using an app within a week, so shipping fixes fast protects retention.
Teams with automated pipelines and tested rollbacks recover from failed deploys several times faster, per DORA summaries.
Teams that ship rarely do not lack discipline, they lack a pipeline. When a release means a checklist, a long manual test pass and a nervous deploy, releases get batched, batches get big, and big releases break. Tepia builds the pipeline that makes the safe path the easy path: every commit builds, tests run automatically, and shipping is a button, not a ceremony.
Tepia applies this to its own thirteen years of client work, and builds the same automation for teams whose product is live but whose release process has not caught up.
| Stage | What happens | What it catches |
|---|---|---|
| Build | Every commit compiles in CI with dependencies pinned | Broken builds, dependency drift |
| Automated tests | Unit and integration suites run as a merge gate | Regressions before review |
| Staging deploy | Merged code lands on a production like environment | Configuration and integration surprises |
| Beta track | TestFlight and Play internal testing for mobile | Real device issues before public release |
| Staged rollout | Release reaches 5, 25, then 100 percent of users | Problems while they are still small |
| Monitor and rollback | Sentry and Crashlytics alerts with a tested rollback path | Incidents measured in minutes, not days |
Tepia builds this pattern with GitHub Actions and the native build services of AWS, Azure or GCP, adapted to your stack.
Shipping iOS and Android adds store review, signing certificates, beta tracks and staged rollouts that web teams never face. Tepia automates the whole path: signed builds on every merge, TestFlight and Play internal distribution for stakeholders, release trains so features catch the next departure instead of delaying it, and phased store rollouts with crash monitoring.
The deeper treatment lives on the mobile app release management page. Teams that already have an app but ship slowly are exactly who this work serves.
Discovery reviews your repositories, current release steps and past incidents, and interviews the engineers who ship. You get an Investigation Summary and User Stories for the pipeline itself, treated like any product. Development builds the pipeline in stages, so a first win (automated builds and tests) usually lands within the first two weeks.
Testing includes deliberate failure drills: a bad deploy rolled back, an alert traced end to end. Training hands your engineers the pipeline with documentation, and Support remains available. Tepia’s engineering leadership is US based, and the pipeline is yours, in your accounts, when the engagement ends.
Teams typically go from monthly or quarterly releases to weekly or better, with smaller changes and fewer emergencies. The rollback path removes the fear that made releases big in the first place. Because the whole system lives in your own GitHub and cloud accounts, there is no vendor to unwind later.
A working pipeline typically takes 4 to 8 weeks depending on stack count and test coverage, and pairs well with QA and automated testing work when suites are thin.
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