CI/CD Automation Services
CI/CD Automation Services | Continuous Integration & Delivery | Stonetusker

Stop Shipping by Hand.
Build a Pipeline That Does It for You.

Most teams don’t have a deployment problem. They have a process problem. Manual builds, environment inconsistencies, and fragile release scripts that only one person knows how to run. We replace all of that with automated CI/CD pipelines your whole team understands and owns.

No retainers  ·  NDA before any technical discussion  ·  30-minute call, no pitch deck

Is your release process the bottleneck?

Growing engineering teams hit a point where the way they’ve always shipped software stops working. Deployments that took an afternoon start taking a day. A release that should be straightforward needs three people in a call to babysit it.

The problem is usually not the code. It’s the pipeline around it. Manual steps, no consistent test environments, slow feedback on failures, and no real visibility into what’s happening between a commit and production. These things compound fast.

Deployments take longer than they should and the team isn’t sure why. Each release has a slightly different set of steps.
Bugs reach production that testing should have caught because the test suite isn’t reliably part of every release.
One engineer carries the release process in their head. If they’re unavailable, the release waits. Or goes wrong.
There’s no clear audit trail of what was deployed, when, by whom, and what changed. Rollback is a conversation, not a button.

Results from client implementations

70% Faster build and deployment cycles after pipeline automation
5x Increase in release frequency. Teams ship features more often with less effort.
90% Reduction in deployment errors. Automated testing catches what manual processes miss.
Full Traceability from every commit to every production release, with rollback built in

Six areas we work on, every engagement

01 Pipeline Design and Build We design and build automated CI/CD workflows using GitHub Actions, Jenkins, or GitLab CI, matched to your existing stack and team. No off-the-shelf templates forced onto your environment.
02 Automated Testing Integration Unit tests, integration tests, and security scans embedded directly into your pipeline so they run on every push. Failures are caught before they reach staging, not after.
03 Continuous Deployment Zero-downtime deployments using blue-green or canary strategies, with automated rollback if something goes wrong. Releasing to production stops being a high-stakes event.
04 Containerised Environments Docker and Kubernetes-based build environments that work consistently across development, staging, and production. The "works on my machine" problem stops here.
05 Cloud-Native Delivery Pipeline integration with AWS, Azure, and GCP, including cloud-native build services and marketplace deployments. Works for SaaS products, embedded cloud control planes, and everything between.
06 Monitoring, Alerting, and Rollback Real-time build and deployment metrics, failure alerts to the right people, and automated rollback triggers. Your team knows what’s happening in the pipeline at all times, and can act on it without digging through logs to find out what went wrong.

What actually happens when we start

We look at what you’ve got

Before proposing anything, we review your current build and release process. How deployments actually happen today, where the manual steps are, what’s breaking and how often, and who’s carrying the knowledge. We’ve signed an NDA before this conversation starts.

We design the pipeline around your actual stack

The pipeline design is specific to your technology, your team structure, and your deployment targets. We pick the right tools for your environment, not the ones we happen to prefer. The plan is shared with your team before we write a line of pipeline code.

We build it with your engineers, not around them

Your team is involved throughout. We explain decisions as we make them, document everything as we go, and make sure your engineers understand how the pipeline works, not just that it does. By the time we hand over, there’s nothing in the system only we know about.

We stay alongside during the live period

After handover, we run a two-week live operations period where your team runs the pipeline and we’re available to answer questions and fix anything that comes up. Most teams don’t need us after that. If you do, support is available without a retainer.

CI/CD Power Launch

From manual deployments to a fully automated pipeline.
In 30 days.

A structured sprint for teams that want to move fast. We scope it, build it, and hand it over, with documentation and a live period, in a single calendar month.

Workflow assessment We map your current process, find the bottlenecks and risks, and agree on the scope before any work starts.
End-to-end pipeline build Custom automation for your environment, whether that’s AWS, Azure, GCP, on-prem, or a mix. Built with GitHub Actions, Jenkins, or GitLab CI depending on what you’re already using.
Quality and security gates built in Automated testing, vulnerability scanning, and compliance checks embedded into the pipeline from the start.
Performance dashboards and alerting Build time, deployment frequency, failure rate, and time to restore — all visible and tracked from day one.

Zero-risk guarantee

If deployment performance doesn’t measurably improve in 30 days, we keep working until it does. At no extra cost.

We put this in the agreement, not just on the page. If you don’t see measurable improvement in build times, deployment frequency, or error rate within 30 days, we continue working with your team at no additional charge until the targets are hit. No negotiation required.

Client testimonial

Stonetusker streamlined our entire build and release process. We went from multi-day manual releases to fully automated, reliable deployments in under a week.

Head of Engineering Global SaaS Company

See the full case studies

Questions we hear before every CI/CD engagement

We’re already using Jenkins. Do we have to switch tools?

No. We work with what you have. If you’re on Jenkins, we optimise and extend your existing Jenkins setup. If GitHub Actions or GitLab CI makes more sense for your workflow, we’ll make the case and you decide. Tool migration is only recommended when it genuinely solves a problem your current tooling can’t solve. We don’t switch tools for the sake of it.

Our stack is complex. We have hardware components, a cloud service, and a mobile app. Can CI/CD actually work across all of that?

Yes. Multi-component stacks are common in our engagements. We’ve built pipelines across embedded firmware, Yocto builds, Golang services, Python ML models, and React frontends, sometimes in the same project. The assessment at the start of the engagement is specifically designed to map out your components and design a pipeline that handles each part appropriately. We don’t apply a single pipeline template to everything.

What happens if the pipeline breaks six months after you’ve finished?

The two-week live operations period at the end of the engagement is there specifically for this. Your team runs the pipeline, and we’re alongside to fix anything that comes up and explain why. Everything is documented — runbooks, architecture decisions, common failure modes and how to fix them. Most teams are self-sufficient well before the handover ends. If something does come up later, support is available without a retainer.

Your pipeline should work for your team.
Let’s make it do that.

30 minutes. No pitch deck. We arrive having already looked at your public stack and we’ll tell you exactly what we’d change first and why.

No retainers  ·  No lock-in  ·  NDA signed before we discuss your architecture

30-minute call  ·  No pitch deck  ·  We come with a plan specific to your stack

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