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Case Study HealthTech

Deployment Frequency: Weekly to Daily

An anonymized HealthTech team moved from manual weekly releases to safe daily deployments using CI/CD automation, quality gates, and a rollback-first release process.

CI/CD Setup & Hardening Fractional CTO

Results

Deploy frequency
Daily

From weekly manual releases

Rollback time
< 5 min

Overview

The team shipped valuable product updates, but releases were painful. Deployments happened about once per week and were executed manually, creating avoidable risk in a regulated environment. The goal was to move to safe daily deployments with clear quality gates and a rollback-first operating model.

Starting point

Before the engagement, promotions between environments were inconsistent and relied on tribal knowledge. Verification steps were spread across docs and Slack messages, and rollbacks were possible but slow and error-prone. The team needed CI/CD that supported speed and auditability.

Goals & success criteria

  • Move from manual releases to automated, repeatable deployments
  • Introduce quality gates (tests, scans, approvals where needed) without slowing delivery
  • Achieve fast, predictable rollbacks (< 5 minutes)
  • Standardize environment configuration and promotion rules
  • Improve release confidence through better visibility and runbooks

What we did

  • Release workflow redesign: defined a clear promotion path (dev → staging → production), and documented what “ready to promote” means.
  • CI/CD pipeline implementation: automated build, test, scanning, and deployment steps with staged gates.
  • Artifact and configuration discipline: ensured builds were immutable and environments converged on shared patterns.
  • Rollback-first tooling: made rollback a one-command operation, rehearsed it, and added runbooks.
  • Lightweight operating cadence: introduced small, sustainable practices (release notes, incident review checklists) to keep quality high without process bloat.

Key technical decisions

  • Treat deployments as repeatable automation, not heroics
  • Use staged promotions with explicit verification rather than ad hoc “looks good” checks
  • Add security checks that are fast and actionable (not noise)
  • Keep pipelines understandable: clear naming, small steps, and “why” documented
  • Align monitoring and alerts to customer-facing impact to catch regressions quickly

Risk management

  • Validation gates: deployments only progressed when checks passed
  • Rollback rehearsal: rollbacks were practiced, not assumed
  • Auditability: release artifacts and changes were traceable
  • Blast radius control: incremental rollouts where appropriate

Outcomes

The team moved from weekly manual releases to daily deployments, and rollbacks became predictable and fast (< 5 minutes). Release stress decreased, and shipping velocity increased without sacrificing reliability.

Handoff & operating model

  • Pipeline documentation and ownership
  • Runbooks for deploy/rollback and common failure modes
  • A sustainable cadence for release notes and post-incident learning
  • Metrics that help the team detect delivery regressions early

If you’re facing a similar challenge

If you want higher shipping velocity with stronger reliability, start with CI/CD Setup & Hardening.

Engagement Notes

Context

Manual releases were risky and slow for a regulated product. The team needed a release process that improved reliability without adding heavy process or constant meetings.

Constraints

  • Small team with limited release engineering time
  • Need for reliable rollbacks and auditability
  • Multiple environments with inconsistent promotion and config practices
  • Quality expectations that required repeatable, documented checks

Approach

  1. Implemented a pipeline with staged promotions and automated checks
  2. Added artifact integrity, dependency scanning, and guardrails for secrets
  3. Standardized environment configuration, deployments, and rollback tooling
  4. Introduced lightweight release, incident, and change-notes practices
  5. Aligned delivery metrics and alerts to customer-impacting signals

Stack

GitHub Actions Terraform AWS Container registry

Lessons Learned

  • Daily deployments require boring reliability: consistent config, clear ownership, and automated checks.
  • Rollback speed matters more than perfect deployments.

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