DevOps & Cloud Computing
Streamline deployment, automate processes, and leverage the cloud to ensure your systems are reliable and scalable.
Infrastructure work aimed at making deployment boring. That means CI/CD so shipping isn't a manual ritual, infrastructure as code so environments are reproducible, and monitoring so you find out about problems before your users tell you. We work across AWS, GCP, and Azure, and handle migrations off setups that have outgrown themselves.
What's included
- Cloud infrastructure setup (AWS / GCP / Azure)
- CI/CD pipeline implementation
- Infrastructure as code
- Monitoring & alerting
- Cloud migration
- Cost optimization
How we work
- 1Infrastructure audit
- 2Architecture design
- 3Automation & pipeline setup
- 4Migration & rollout
- 5Monitoring & ongoing support
Typical timeline: 3–8 weeks depending on scope
DevOps & Cloud Computing in practice
DevOps & Cloud Computing questions
- Which cloud providers do you work with?
- AWS, GCP, and Azure. If you're starting fresh we'll recommend based on your stack, team familiarity, and cost profile rather than defaulting to one. If you're already committed to a provider, we work within it.
- Can you reduce our cloud bill?
- Often, yes. Cost optimisation usually comes down to over-provisioned instances, storage nobody cleaned up, and unused resources still billing. We audit first and show you where the spend actually goes before changing anything.
- Will our team be able to maintain what you set up?
- That's the intent. Infrastructure as code means the setup is readable and version-controlled rather than a configuration someone clicked together, and we document and hand over so you're not locked into us.
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Available now
Let's work together
Have questions or ready to start a project? We're here to help you