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Discover
Delivery path mapped end to end, with bottlenecks and failure points identified.
Output: documented current state.
The engineering behind every release
Automated pipelines, infrastructure as code, and monitoring that catches a bad release before your customers do.
A practice of automating how software gets built, tested, released and run. It covers delivery pipelines, infrastructure automation, containerization, security in the release process, and monitoring that tells you whether a deployment worked.

43.5%
Teams take more than a week to get a change from commit to production.
DORA, State of DevOps, 2025
39.5%
Teams have a change of failure rate above 16%, meaning roughly one deployment in six causes a problem.
DORA, State of DevOps, 2025
56.5%
Teams take between one day and one week to restore service after a failed deployment.
DORA, State of DevOps, 2025
Build, test and deployment pipelines with automated quality gates, environment promotion and validated rollback paths.
Automated provisioning and configuration management, producing consistent, reproducible environments across the estate.
Security controls embedded in the pipeline. Dependency and container scanning, secret detection and policy enforcement on every build.
Progressive delivery through blue-green deployment, canary releases and feature flags, limiting exposure on every change.
Application packaging and orchestration with Docker and Kubernetes, sized to actual workload requirements.
Declarative infrastructure in Terraform, version controlled and peer reviewed. Reproducible, auditable and independent of tribal knowledge.
Local environment parity, reduced feedback cycle times, and internal tooling that removes friction from the development loop.
Instrumented delivery metrics across build duration, review latency, deployment frequency and change failure rate.
Our DevOps Engineering & consulting services runs Launch and Evolve on The Pivot.
Application changes required to support automated delivery run through Product Engineering or Legacy Modernization.
A delivery process your team runs without thinking about it.
Often not. Kubernetes solves problems that appear at a certain scale and creates operational overhead below it. We will tell you if something simpler fits what you actually run.
Yes. Most engagements improve something that already exists rather than replacing it. Rebuilding from scratch is a recommendation we make when the current setup genuinely cannot be fixed.
Your servers, networking and databases written in files rather than configured by hand. It means environments can be recreated exactly, changes are reviewable, and the knowledge lives in your repository rather than in one person's head.
Your team. Everything is built in your accounts and repositories with documentation written for the people who will maintain it. We are available afterwards, but nothing depends on us being there.
Describe how code reaches production today and what goes wrong.
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