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[ DEVOPS AUTOMATION ]

FROM A COMMIT, A RELEASE.
FROM RELEASES, MOMENTUM.

Build, test and deployment pipelines that turn every change into a safe, repeatable release.

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01 / Approach

Releases should be routine.

When deployments depend on manual steps and the one person who knows them, teams release less often and every release carries more risk. We automate the path from commit to production: builds, tests, security checks and deployments. Small changes ship often, problems surface early, and rolling back becomes an ordinary operation.

02 / What we build

Six capabilities, one pipeline.

01

CI/CD Pipelines

Automated build, test and deployment pipelines for every application, from the first commit to production.

  • Build
  • Test
  • Deploy
02

Test Automation

Unit, integration and end-to-end tests wired into the pipeline, so quality is checked on every change.

  • Unit
  • Integration
  • End-to-end
03

Release Strategies

Blue-green, canary and feature-flag releases that reduce the risk of each deployment.

  • Blue-green
  • Canary
  • Feature flags
04

Environments on Demand

Consistent development, test and staging environments created automatically from code.

  • IaC
  • Containers
  • Preview environments
05

DevSecOps

Dependency scanning, secret detection and static analysis built into the pipeline instead of left to the end.

  • SAST
  • Dependency scanning
  • Secrets
06

Observability & SRE

Logs, metrics, traces and alerts, plus the on-call practices that turn incidents into improvements.

  • Monitoring
  • Alerting
  • SLOs

03 / Delivery pipeline

Every step automated.

Stage Typical question What we automate Tooling Result
Commit Is every change reviewed and traceable? Branch policies, pull request checks, code review Git, Azure Repos, GitHub Reviewed, traceable changes
Build Does it build the same way every time? Reproducible builds, versioned artifacts, container images Azure Pipelines, GitHub Actions, Docker Versioned build artifacts
Test Did this change break anything? Unit, integration and end-to-end test runs xUnit, Playwright, test reports Fast feedback on every commit
Secure Are we about to ship a known vulnerability? Dependency, secret and static code scanning Dependabot, SonarQube, Defender for DevOps Security gate in the pipeline
Release Can we deploy without downtime? Staged deployments, approvals, rollback Azure Pipelines, Helm, feature flags Safe, repeatable releases
Operate Will we know about a problem before users do? Monitoring, alerting, dashboards, SLOs Application Insights, Azure Monitor, Grafana Production visibility

04 / Method

From manual steps to a working pipeline.

  1. 01

    Audit

    Map how code gets to production today, and where time and risk are lost.

  2. 02

    Design

    Define the target pipeline, branching model and release strategy.

  3. 03

    Automate

    Build the pipelines and environments, starting with the most painful step.

  4. 04

    Adopt

    Move teams onto the new workflow, with documentation and pairing where needed.

  5. 05

    Improve

    Track delivery metrics and keep shortening the path to production.

05 / What we measure

Delivery you can measure.

DevOps work should show up in numbers. These are the delivery metrics we track together with your team.

  1. Deployment frequency

    How often changes reach production.

  2. Lead time for changes

    How long a commit takes to get from the repository to users.

  3. Change failure rate

    How many deployments cause an incident or need a rollback.

  4. Time to restore

    How quickly service recovers when something goes wrong.

  5. Pipeline duration

    How long developers wait for feedback on each change.

  6. Test coverage of critical paths

    How much of the business-critical functionality is checked automatically.

Do releases still feel risky?

Show us how code gets to production today. We'll show you which steps to automate first.

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