Cloud architecture
Well-architected designs on AWS, GCP or Azure with clear boundaries, failure domains and cost attribution per service.
Capabilities
Ten disciplines, one delivery team.
Most engagements combine two or three. We staff them from the same pod so nothing gets lost between vendors.
All servicesDevOps & Architecture
Cloud architecture, infrastructure as code, CI/CD and observability that turn releases into a non-event.
Overview
Slow, scary releases are an architecture problem. We rebuild the path from commit to production: reproducible infrastructure, automated pipelines, sensible environments and monitoring that tells you what broke before your customers do. Then we cut the cloud bill that grew while nobody was measuring.
Typical outcomes
-43% — Average cloud spend reduction
Capabilities
Pick the parts you need. We will tell you honestly which ones you do not.
Well-architected designs on AWS, GCP or Azure with clear boundaries, failure domains and cost attribution per service.
Terraform and Pulumi modules so every environment is reproducible, reviewable and recoverable.
Pipelines with automated tests, preview environments, blue-green and canary deploys, and instant rollback.
Right-sized clusters, autoscaling, service mesh where justified — and a straight answer when you do not need Kubernetes.
Metrics, logs and traces unified, with SLOs, error budgets, actionable alerts and incident runbooks.
Rightsizing, commitment planning, storage lifecycle rules and load testing to find the ceiling before your users do.
Deliverables
Every engagement ends with artefacts your team can use without us in the room.
Technology we use
Cloud
IaC & config
Pipelines
Observability
Process
Timelines vary with scope, but the sequence and the checkpoints do not.
Infrastructure, pipeline and incident-history review producing a ranked list of risks and quick wins.
Fix the things that wake people up: backups, alerts, secrets, single points of failure.
Move infrastructure into code, environment by environment, with no manual console changes left.
Pipeline rework to get deploys measured in minutes and rollbacks in seconds.
Cost and performance tuning, then knowledge transfer so your team runs it confidently.
FAQ
Usually not. Most teams are better served by managed containers or serverless. We recommend Kubernetes only when your scale, multi-tenancy or portability requirements genuinely justify the operational cost.
Yes. Platform work runs in parallel with product delivery, and we sequence changes so each one is independently shippable and reversible.
We offer on-call retainers with defined response times, or we train your team and hand over the runbooks. Both are common.
Pairs well with
Next step
Send a short brief and a senior specialist will reply within one business day with questions, an approach and an honest cost range.