DevOps and CI/CD automation
We set up the pipeline that builds, tests, and deploys your product, plus the monitoring to watch it. We work with Docker, Kubernetes, and AWS, and you work directly with the engineer doing the work.
CI/CD pipelines that make releases boring
A good release should be uneventful. We build CI/CD pipelines with GitHub Actions or GitLab CI that build, test, and deploy every change, so shipping is a button press rather than a manual ritual. Each change runs through review and automated checks before it reaches production, which means fewer surprises and faster, more confident releases for your team.
- GitHub Actions or GitLab CI pipelines
- Automated tests and checks on every change
- Low-drama, repeatable deployments
Containers and orchestration, sized to your needs
We package services with Docker so they run the same everywhere, and bring in Kubernetes when your workload genuinely needs orchestration rather than as a default that adds complexity. The result is infrastructure that scales when it has to and stays simple enough for your team to operate without a dedicated platform department.
- Docker for consistent environments
- Kubernetes when the workload calls for it
- Infrastructure your team can run
Monitoring before your users notice
We set up monitoring, logging, and alerts with tools like Prometheus and Grafana so problems surface early, with the context to fix them fast. Instead of hearing about an outage from a customer, your team sees the warning signs in time. We focus the alerts on what matters so the signal does not get lost in noise.
- Metrics, logs, and dashboards
- Alerts tuned to real problems
- Faster diagnosis when something breaks
Automated on AWS, as code
We automate your deployments and infrastructure on AWS, defined as code so it is repeatable and reviewable. That ties the pipeline, the cloud, and the application together, instead of leaving deployment as a fragile step that only one person understands. We can set it up once or stay on to improve it as part of a monthly squad.
- AWS automation defined as code
- Pipeline, cloud, and app joined up
- One-off setup or ongoing support
DevOps as part of the whole build
We set up DevOps alongside the product itself, from the Python backend to the Next.js front end and AI integration and automation. Need a specialist? You can hire a senior DevOps engineer, or see why teams choose us over an agency.
DevOps questions
CI/CD pipelines, Docker and Kubernetes where appropriate, infrastructure as code, and monitoring and alerting. The aim is reliable, repeatable deployments and clear visibility into how your system behaves in production.
Usually, yes. We assess what you have, fix the slow or fragile parts, and add what is missing rather than rebuilding from scratch when it is not needed.
Yes. We automate deployments and infrastructure on AWS and pair DevOps with cloud architecture when you need both, all defined as code.
Either. You can bring on a single senior DevOps engineer by the hour or as part of a monthly squad alongside backend and cloud engineers. Tell us the scope and we will suggest the right shape.
Yes. We regularly drop into existing teams, learn how you ship, and improve the pipeline without taking over. You stay in control, and we hand over clear documentation so your team can run it.
Most engagements begin with a free scoping call to agree the work, and we can usually start within days. The quickest way in is the contact form or an email to info@shapeincloud.com.
Let's build, scale, or automate it.
Hire a full senior team or a single specialist across frontend, backend, AWS, DevOps, and AI. You work directly with the engineers, not an account manager.