Good software architecture is of little use if you cannot deploy it reliably. My cloud and DevOps work is about designing infrastructure that scales, looks after itself and does not wake you at 3 a.m.
I have designed multi-tenant environments for SaaS products, migrated monolithic applications to Kubernetes and automated deployments that previously required hours of manual work. The principle is always the same: Infrastructure as Code, reproducible pipelines and observability from day one.
Typical stack
- AWS / Azure — Main cloud providers. VPCs, IAM, RDS, S3, Lambda and ECS.
- Terraform — Everything as code. No exceptions.
- Kubernetes / Docker — Container orchestration for complex environments.
- GitHub Actions / CI/CD — Continuous integration and deployment pipelines.
Real projects
- Multi-tenant AWS infrastructure for a SaaS platform: 45% reduction in operational costs and new environments provisioned in minutes.
- Migration from manual releases to automated Terraform and GitHub Actions pipelines for a 12-developer team.
- High-availability architecture for an application with seasonal traffic spikes such as Black Friday and sale periods.
FAQ
- What does a well-designed cloud architecture include?
- It includes infrastructure as code, reproducible deployments, observability, baseline security, cost control and a clear scaling strategy that does not depend on manual intervention.
- Can you improve an existing infrastructure?
- Yes. I usually start by auditing deployments, costs, failure points, permissions and observability, then prioritise changes that reduce risk without stopping the product.
- Do you work with AWS, Azure and Kubernetes?
- Yes. I work with AWS, Azure, Docker, Kubernetes, Terraform and CI/CD pipelines, choosing the right level of complexity for each team.
If your deployments are manual or your infrastructure does not scale, there is room for improvement. Contact me at [email protected].