Cloud architecture
Network, compute, storage and security design on AWS, Google Cloud or Azure — sized to actual load.
Service / 05
Cloud environments defined as code, deployed through automated pipelines and observable in production. We design infrastructure that scales horizontally and can be rebuilt from a repository.
The test of a cloud setup is not whether it runs today. It is whether you could rebuild it from scratch tomorrow. If the answer involves someone remembering which console settings were changed, the environment is a liability regardless of how well it performs.
We define infrastructure as code, containerise services so they run identically in every environment, and put deployment behind a pipeline with automated checks and a rollback path. What you get is an environment that is reproducible, reviewable and safe to change.
Capabilities
Network, compute, storage and security design on AWS, Google Cloud or Azure — sized to actual load.
Docker images and Kubernetes or managed container platforms, so environments stay identical.
Automated build, test, security scan and deploy, with staged environments and rollback.
Environments defined in version control and provisioned repeatably, not clicked together by hand.
Metrics, logs and traces with alerts tied to conditions that actually matter.
Right-sizing, autoscaling policies and cost visibility so spend tracks usage.
Approach
We review the current environment, workloads and constraints, and set the target architecture and budget.
Networks, clusters and services are defined in version control and applied through review.
Build, test, scan and deploy automated end to end, with environment promotion and rollback.
Monitoring, alerting, incident runbooks and a scaling policy tuned against observed traffic.
Technology
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