Automated delivery pipelines
for every platform.
From SAP CAP apps on BTP to containerised microservices on Azure — we design, build, and operationalise GitHub Actions pipelines that ship your code safely, repeatably, and fast. No more manual deployments, no more Friday-night anxiety.
What we deliver
Pipeline Design & Architecture
We model your full delivery lifecycle before writing a single workflow file — branch strategy, trigger rules, build matrix, multi-environment promotion, and approval chains all mapped and agreed upfront.
GitHub Actions Implementation
Production-grade workflow files with reusable composite actions, matrix builds, environment protection rules, and OIDC-based secret-free deployments — no stale credentials, no copy-paste drift.
Quality Gates & Security Scanning
Unit tests, integration tests, static analysis, SAST, dependency vulnerability scanning, container image signing, and IaC linting — all blocking bad code before it reaches production.
Environment Management
Dev → QA → staging → production promotion flows with manual approval gates, automated rollback on health-check failure, and environment-scoped secrets managed cleanly via GitHub Environments.
Observability & Audit Trails
Deployment frequency dashboards, pipeline duration metrics, and full audit logs attached to every release — so you always know what shipped, who approved it, and exactly when it went out.
Team Enablement
Hands-on workshops, operational runbooks, and architecture documentation your team actually wants to read — so they can own, extend, and troubleshoot pipelines independently long after we’re done.
Platform coverage
MTA build, CAP build, Fiori UI5 tooling — all containerised in GitHub-hosted or self-hosted runners with full layer caching
Jest / Java JUnit unit tests, OPA5 UI tests, BTP service binding validation, and ABAP unit runs via abapGit
CF push, MTA deploy, or Helm chart to Kyma across dev, test, and production subaccounts — with OIDC, no hardcoded keys
Smoke tests, BTP health-check gates, and automatic rollback on failure before the next environment is unlocked
Docker image build, multi-arch manifests, and layer caching — images pushed to GHCR, ECR, or ACR with full provenance attestation
Trivy / Grype image scanning, SAST, IaC linting with Checkov, SBOM generation, and Sigstore image signing
Helm / Kustomize to AKS, EKS, or GKE — or Azure Container Apps, ECS, or Cloud Run for serverless — via OIDC Workload Identity
Blue-green or canary release with automated health gates, rollback on failure, changelog generation, and GitHub Release creation
How we work
Discovery
We audit your current delivery process — what’s manual, what’s fragile, where teams lose time. We map every dependency: repos, environments, approval chains, and the humans who own each one.
Design
Branch strategy, workflow topology, secret management model, and environment promotion logic are fully documented and signed off before a single workflow file is written. No surprises mid-build.
Build
We implement iteratively, starting with the critical deploy path and layering in quality gates, notifications, caching, and edge-case handling. You ship to real environments from sprint one.
Handover
Complete runbooks, architecture decision records, and a live workshop walking your team through every pipeline they’ll own. Handover means they’re self-sufficient — not just holding the keys.
Key principles
Workflow files live in your repository alongside application code — versioned, reviewed in pull requests, and fully auditable. No click-ops, no shadow configuration in a UI somewhere.
OIDC / Workload Identity Federation for all cloud deployments. Credentials that expire by design, not by accident. No service account keys committed to repos, ever.
Linting, tests, and security scans run on every pull request — catching issues in minutes rather than finding them in production days or weeks later when they’re expensive to fix.
Composite actions and reusable workflows mean common patterns are defined once and shared across all your repos. One fix propagates everywhere — no copy-paste drift between teams.
Parallelism, aggressive caching, and conditional job skipping keep pipeline runtimes short. A slow pipeline is one developers work around — we design pipelines people actually trust.
Automated rollback, health gates, and canary releases mean deploying on a Friday afternoon stops being a risk and becomes a normal, unremarkable event.
Ready to ship faster?
Let’s build your pipeline.
Tell us about your workloads and current delivery pain points — we’ll scope an engagement that gets you to automated, auditable deployments with confidence.
Get in touch →