Cloud engineering and DevOps for systems that have to stay up.

What the cloud practice covers

• AWS cloud architecture

  We design AWS environments as a system: accounts, networks, identity, compute, data, and the path a request takes. The architecture is drawn before it is built, and the build is checked against that drawing.

• Cloud infrastructure design

  Network tiers, environment separation, and failure domains are decided up front. A design that cannot be sketched on one page is usually a design that will be hard to operate.

• EC2, VPC, IAM, S3, RDS, and load balancers

  These are the core building blocks of most business platforms we deliver. Compute stays replaceable, data stays private, object storage is deliberate, and identity is granted to roles rather than shared keys.

• Kubernetes and Docker

  Containers are a packaging and runtime choice. We use Docker to make releases consistent, and Kubernetes when the application needs orchestrated rollouts, scaling, and recovery.

• CI/CD with Jenkins and GitHub Actions

  A change should be built and tested the same way every time. We implement pipelines in GitHub Actions or Jenkins, with a staged path and an explicit step before production.

• Terraform and infrastructure as code

  The cloud environment is described in Terraform so it can be reviewed, repeated, and changed without relying on memory of the console.

• Prometheus, Grafana, and CloudWatch

  CloudWatch covers the AWS platform. Prometheus and Grafana cover workloads and the signals a team wants on one screen. Alerts are written for conditions someone should answer.

• Cloud security

  Security is designed into the network, identity, data access, and the pipeline. We prefer private data paths, least-privilege roles, encrypted storage, and secrets that are not stored in repositories.

• Cost optimisation

  Cost work starts with knowing what is running and why. We look at sizing, idle resources, storage class, and architecture choices that spend money without serving the product.

• Infrastructure automation

  Repeated operational tasks are turned into code: provisioning, releases, scheduled jobs, and the checks that confirm an environment is still in the intended shape.

• Cloud migration

  Migrations are sequenced. We inventory dependencies, design the target, rehearse the cutover, and keep a way back until the new environment has proven itself.