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Delivery Pipeline Optimisation

Delivery Pipeline Optimisation

Your CI shouldn't be
the bottleneck

Every minute your pipeline sits idle is a minute your engineers aren't shipping. Waiting 30 minutes for a build to fail kills developer focus and drains your budget. We optimise pipelines to provide near-instant feedback — turning slow ceremonies into rapid iteration loops. Parallel matrices, layer caching, thread-level parallelism. Working workflows, delivered.

What We Do

Three levers that actually move the needle

01

Matrix-based Test Splitting & Parallelism

We split your test suite across parallel runners using CI matrix strategies — each runner gets a balanced slice of test files. On top of that, we configure thread-level parallelism within each runner to utilise all available CPU cores. Works with any test framework, any language. The more runners, the faster the feedback — infinite horizontal scaling without touching your test code.

GHA Matrix
GitLab parallel
Thread parallelism
Any framework

02

Docker Layer & Image Caching

Rebuilding the same Docker image on every run wastes minutes. We configure layer caching, reuse Docker Compose services already defined in your project, and persist caches across runs. We eliminate the "nothing changed but everything is rebuilding" problem — so only what actually changed gets rebuilt.

Layer cache
Docker Compose reuse
Registry cache

03

Job Parallelisation & Ordering

Most pipelines run jobs sequentially by default. We restructure your workflow DAG — lint, security scans, unit tests, and integration tests run in parallel where possible, with hard dependencies only where they're actually needed.

Job DAG
Dependency caching
Workflow structure
Platforms We Work With

Same techniques. Any CI platform.

GitHub Actions

Matrix strategies, composite actions, reusable workflows, and cache actions. The most flexible CI platform — and the one most teams underuse.

GitLab CI

Parallel jobs, DAG pipelines, include templates, and Docker-in-Docker caching. We've optimised complex mono-repo pipelines with dozens of stages.

Your Platform

Using something else? Jenkins, CircleCI, Bitbucket Pipelines, AWS CodePipeline — the techniques are the same. Matrix strategies, caching, and job DAGs work everywhere.

What You Get

Faster pipelines, delivered as code

The deliverables

Optimised workflow files

Matrix configuration

Caching strategy

Parallel test setup

The real impact

Engineers get feedback in minutes, not half an hour

Fewer context switches — faster iteration loops

Deploys stop being a 40-minute ceremony

Your team ships more, waits less

Start Here

How long does your pipeline run? Let's cut it in half.

Send us your current workflow file. We'll tell you exactly what's slowing it down and how we'd fix it — before any commitment.