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Case study · Software product teams

Releases that are boring, in the best way

Many product teams still deploy by hand, from one person's laptop, on a Friday evening. This is how we set up automated pipelines and infrastructure as code so every change is built, tested and deployed the same way, environments can be recreated on demand and rollbacks take minutes.

Project overview

Automated delivery and repeatable infrastructure.

Industry
Software products
Client
Confidential
Solution
CI/CD and IaC
Pipelines
GitHub Actions / Azure DevOps
Timeline
8–14 weeks
Team
2–3 people
IaC
Terraform or Bicep
Environments
Dev, test, staging, production
Cloud
Azure or AWS

Expected business outcomes

What the client set out to achieve

Measured with the delivery metrics most teams already recognise.

  • Daily or better Deployment frequency

    Small changes deployed routinely instead of big risky releases.

    Reached once pipelines and tests were trusted

  • Minutes To roll back

    Previous versions redeployed from the pipeline.

    Where deployments are versioned

  • Minutes To create an environment

    Infrastructure defined as code and recreated on demand.

    For environments covered by IaC

Business challenges

Where the client started

Deployments depend on people and memory.

Deployments

Manual steps written in a wiki, if at all.

Environments

Configured by hand and drifting apart over time.

Testing

Tests exist but aren't run on every change.

Secrets

Passwords in config files and chat messages.

Risk

One person knows how production is really set up.

Proposed solution

What the setup covers

Pipelines, infrastructure and the guardrails around them.

  • CI pipelines

    Every change built, tested and scanned automatically.

  • CD pipelines

    Deployments through environments with approvals for production.

  • Infrastructure as code

    Environments defined in Terraform or Bicep and reviewed like code.

  • Secrets management

    Secrets moved into a vault and injected at deploy time.

  • Security checks

    Dependency and container scanning in the pipeline.

  • Monitoring

    Deployment markers, logs and alerts to catch problems quickly.

Project requirements

What the client asked us for

The request was automated deployments. The foundation is infrastructure as code, so environments are identical and can be rebuilt, not hand-crafted.

We build with the team, not for it, so they own and extend the pipelines afterwards.

What the project had to deliver

  • 01Every change tested automatically
  • 02Identical, reproducible environments
  • 03Secrets out of code
  • 04Fast, safe rollbacks

Key challenges & considerations

What made it harder, and what we did

  1. Existing environments nobody fully understands

    What we did

    The existing environments were captured in code before anything was changed.

  2. Flaky or slow tests

    What we did

    Flaky tests were fixed or quarantined before the pipeline depended on them.

  3. Database migrations in deployments

    What we did

    Database migrations were automated and made reversible.

  4. Compliance approval steps

    What we did

    Approval steps were built into the pipeline with an audit trail.

What we watched for

  • Capture existing environments in code first
  • Fix flaky tests before trusting pipelines
  • Keep secrets out of repositories
  • Let the team own the pipelines

Development process

Codify, automate, hand over

Existing environments are captured in code before anything is rebuilt.

  1. Stage 1

    Assessment

    Current build, deploy and hosting reviewed.

  2. Stage 2

    Infrastructure as code

    Environments captured in code and recreated in test.

  3. Stage 3

    CI

    Build, test and scan pipelines for every repository.

  4. Stage 4

    CD

    Automated deployments with approvals and rollbacks.

  5. Stage 5

    Handover

    Documentation and pairing so the team owns it.

Technology stack

Modern delivery tooling

Standard tools the team can hire for and maintain.

Pipelines

  • GitHub Actions
  • Azure DevOps Pipelines

Infrastructure

  • Terraform
  • Bicep
  • Containers

Security

  • Key Vault / Secrets Manager
  • Dependency scanning

Observability

  • Application Insights / CloudWatch
  • Alerts

Quality assurance & deployment

Rehearsed before production, monitored after

Infrastructure changes were proved before they touched production. Every change was made as code, tested in a copy of the environment and rehearsed with a rollback.

  • Infrastructure defined as code and reviewed like application code
  • Changes tested in a non-production copy first
  • Load tests before any resize or cut-over
  • Backup restores and failover rehearsed, not assumed
  • Security baselines checked automatically

Deployment

  • 01CDAutomated deployments with approvals and rollbacks.
  • 02HandoverDocumentation and pairing so the team owns it.
  • 03Rehearsed cut-oversEach change window was planned, rehearsed and reversible.
  • 04Monitoring and handoverDashboards, alerts and runbooks handed to the client's team, and six months of free bug fixing.

Final deliverables

Shipping without holding your breath

Every change goes through the same automated path to production, environments are rebuilt from code and a bad release is rolled back in minutes.

Deployment knowledge lives in the repository, not in one person's head.

  • Automated CI/CD
  • Infrastructure as code
  • Managed secrets
  • Fast rollbacks

Handed over to the client

  • 01Infrastructure as codeIn the client's repository
  • 02PipelinesBuild, test and deploy
  • 03Monitoring and alertsDashboards and on-call routing
  • 04RunbooksFor releases, recovery and failover
  • 05Six-month warrantyFree bug fixing after delivery

Success metrics

How success is measured

MeasureOutcomeHow it is measured
Deployment frequency Daily or better Reached once pipelines and tests were trusted
To roll back Minutes Where deployments are versioned
To create an environment Minutes For environments covered by IaC

Verified reviews

What clients say about our custom software work

Verified reviews from our clients on the same kind of work, published on Clutch.

5.0 27 verified reviews

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