Real outcomes · Anonymised
Case Studies
Examples of delivery and reliability improvements we have made for UK product teams.
Release Pipeline Sprint
From manual releases to safe deployments in 8 days
UK SaaS team · 6–20 engineers · B2B product
The problem
- Releases required manual steps on production servers
- No automated tests in the deploy path
- Rollback meant restoring from a backup (hours of downtime)
- Engineers avoided releasing on Fridays
What we did
- Built a CI pipeline: tests, lint, dependency scan, build
- Created staging and production deploy workflows with health checks
- Added a 1-click rollback that takes under 5 minutes
- Documented the full pipeline and delivered a release checklist
Results
Deploy time
45 min → 8 min
Failed deployments
~30% → <5%
Release frequency
Monthly → Weekly
Environments as Code Package
Repeatable dev/staging/prod environments for a growing team
UK product team · 21–50 engineers · Cloud-native app
The problem
- Dev and staging environments drifted from production
- Infrastructure changes were applied manually with no review trail
- Onboarding a new engineer took 2–3 days of environment setup
- Two production incidents in 3 months caused by config drift
What we did
- Defined dev, staging, and prod environments as code
- Implemented a plan / review / apply change workflow
- Standardised access roles and secrets management
- Delivered architecture diagrams and an operations runbook
Results
Environment setup time
2 days → 20 min
Config drift incidents
2 per quarter → 0
Infra changes reviewed
0% → 100%
Observability & Incident Readiness
Faster incident diagnosis with dashboards, alerts, and runbooks
UK SaaS team · 6–20 engineers · Multi-tenant platform
The problem
- Incidents took 2–4 hours to diagnose because logs were unstructured
- Alerts were either missing or too noisy to act on
- No shared runbook — every engineer investigated differently
- Customers often reported incidents before the team detected them
What we did
- Added structured logging to the application
- Built 3 core dashboards (errors, latency, availability)
- Implemented alert rules mapped to real user impact
- Wrote 5 runbooks for the most common failure modes
Results
Mean time to diagnose
3 hrs → 18 min
Alert noise reduced
~75% fewer alerts
Customer-reported incidents
Dropped by 60%
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