Capability · DevOps & CI/CD

DevOps & CI/CD automation

Repeatable, automated delivery your team can actually trust.

Map my release bottlenecks or view the fixed-scope entry

180+

migrations version-controlled

60%

fewer failed production releases

14 min

DB deployment (from 50m)

85%

less manual SQL execution

Measured on one engagement — anonymised client, verified with the owner.

Sound familiar?

Two or more of these means this page is for you.

1Releases are events — scheduled, staffed and feared
2One deployment takes hours of engineer attention, so it happens rarely
3Rollback means re-deploying whatever was there before, by hand, under pressure
4Database changes travel as exchanged SQL scripts and hope
5Every environment is a little different, and nobody trusts staging
6CI exists — but the pipeline stops where the risk starts: production

The transformation

How this discipline behaves when it's done right

1
Pipeline design & automation
CI/CD that takes a commit to production through the same tested path every time — no snowflake releases.
2
Infrastructure as code
Environments defined in Terraform, so staging actually rehearses production and drift stops being a mystery.
3
Release governance
Gates, approvals and rollback designed into the pipeline — including database changes as versioned, validated migrations.
4
GitOps operations
The running system reconciled continuously to git, so what is deployed is what is declared.

Decisions

The calls we make — and why

Fix the pipeline or the process first?

The bottleneck decides. We measure where releases actually wait — build, review, approval, environment — and automate the constraint, not the whole diagram at once.

How much release governance is too much?

Gates that run inline and fail loudly earn their place; gates that queue on humans get skipped under pressure. We automate the check, not the meeting.

Do database changes go through the same pipeline?

Yes — schema changes are release artifacts. Versioned migrations with validation and rollback, coordinated with the application release, not exchanged as scripts.

Artifacts

What you hold at the end

Code
CI/CD pipelines as code, rollback built in
Code
Terraform environment definitions
Gate
Release gates and approval workflow
Ledger
Versioned database-migration baseline
Runbook
Deployment and rollback runbooks

Evidence

What it did on a real system

Situation

An enterprise software platform coordinating application and database releases through manually exchanged SQL scripts.

Intervention

Versioned migrations (Liquibase) wired into application delivery, with quality gates, production approval and rollback readiness.

Measured result

180+ migrations version-controlled; database deployment fell from 50 to 14 minutes; failed production releases down 60% across the engagement's release cycles.

Verified with the engagement owner · client anonymised by agreement.

Read the full engagement

Start here

Typically starts with a Cloud/DevOps Maturity Assessment or a defined pipeline build; many teams continue with us operating and improving delivery as managed DevOps.

View scope: Cloud / DevOps Maturity Assessment

Delivery & ongoing

CI/CD pipeline design and automation
Infrastructure as code
GitOps and release automation
Environment and configuration management

Delivered as code with handover — or run ongoing as managed operations.

Before you engage

We already have CI. What's usually missing?

The last mile: environments as code, deployment automation with rollback, and database changes inside the pipeline. CI without those automates the easy half of the release.

Will more gates slow us down?

The engagement above shipped more often with fewer failures. Inline automated gates are faster than the manual coordination they replace — that's the point.

Not in scope