Ayush Jain

Technical Delivery Audit

A forensic assessment of your "Path to Production." Evaluating Engineering Rigor, Program Governance, and Developer Experience.

Target State

Continuous Delivery

Zone 1: Flow & Velocity

Baseline

From code commit to running in Production. Includes build, test, and deploy. If it takes longer, feedback loops are broken.

Advanced

Developers merge to Main at least daily. No long-lived feature branches that cause "Merge Hell" at the end of the sprint.

Technical

Dependencies (NPM/Maven) are cached. We do not re-download the internet on every build. Build time is optimized.

Baseline

GitHub/GitLab enforces review. Merging to Main is impossible without approval from a designated code owner.

Security

Automated scanning (e.g., TruffleHog) runs on commit. Environment variables are injected at runtime, not hardcoded.

Advanced

We build once. The exact same Docker image/Binary deployed to QA is the one promoted to Prod. No rebuilding per environment.

Baseline

70% Unit Tests (Fast), 20% Integration, 10% E2E (Slow). We rely on fast feedback, not overnight regression suites.

Technical

We can run the deployment script 10 times in a row without breaking anything. It checks state before acting.

Advanced

Dashboards and Alerts are version controlled (e.g., Terraform). We don't manually click-to-configure Datadog/NewRelic.

Baseline

"It works on my machine" is solved. Local environments use Docker/Containers that mirror Production exactly.

Documentation

If the build fails or an alert fires, there is a linked Runbook with step-by-step resolution instructions.

Advanced

Alerts are actionable. We don't have "Warning" channels that everyone ignores. If it's not urgent, it's not a PagerDuty alert.

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