Service

Cloud-native on AWS

Your team should be building the product, not running the servers under it. A senior, AWS-certified architect designs cloud-native systems on AWS (containers, serverless and managed services) that scale with demand and stay efficient when idle.

Running on AWS is not the same as being built for it. Plenty of applications are lifted onto EC2 and run much as they did in a data centre. Instances sit idle waiting for peak load. Scaling is a manual job someone does at the worst possible moment. Patching, capacity planning and failover all still land on your team. Cloud-native is the opposite. You let AWS handle the undifferentiated work, the scaling, the availability and the servers themselves, so your team spends its time on the product rather than the plumbing.

Who this is for

This is for teams whose operational load is growing as fast as their application. Often there is a trigger. A traffic spike that fell over, a scaling ceiling you keep bumping into, ops work quietly eating the roadmap, or a new product you want built the right way from day one. It is also for teams paying for capacity they rarely use and wondering why the cloud has not made that better.

How we work

We design to how your application actually behaves, not to a reference diagram. That usually means containers on Amazon ECS with AWS Fargate, serverless with AWS Lambda where it genuinely fits, and managed data and messaging services such as Amazon Aurora, Amazon DynamoDB and Amazon SQS. We size resources to real demand and lean on managed services to cut the operational load your team carries.

The whole thing is defined as code, so it can scale and change without surprises. Because we have built and run these systems hands-on, we make the trade-offs deliberately rather than copying a pattern. A named senior architect owns the engagement, so the decisions made early are the ones carried through.

What you get

An architecture that scales with demand and stays efficient when idle, instead of paying for peak capacity around the clock. Less operational load, because the platform handles the work that used to land on your team. Infrastructure defined as code, so growth and change are routine rather than risky. And one architect accountable for it end to end, with no handoff to a team that was not in the room.

Common questions

Containers or serverless, which is right for us?

It depends on the workload, and often the answer is both. Steady, long-running services usually suit containers on ECS and Fargate. Spiky or event-driven work often suits Lambda. We choose per workload rather than forcing everything down one path, and we tell you why.

Do we have to rebuild everything at once?

No. We move things across incrementally, starting where cloud-native pays off the most. Your existing system keeps running while we migrate piece by piece, so there is no risky big-bang switch.

Will this lock us into AWS?

Managed services are a trade-off, and we are honest about it. They remove a lot of operational work, which is usually worth it, but they do tie parts of the stack to AWS. We keep your core application logic portable where it matters, lean on AWS where the operational saving is real, and make that call with you rather than for you.

For a worked example, see how we rebuilt Integriser’s e-commerce platform to handle four times the traffic at comparable cost.

What's included