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We help turn MVPs into production-ready applications, running on AWS. If you are scaling your application from MVP to production you know AI can help you build an application faster than ever. But what happens when that application needs to become a real production system? That’s where things can get messy. A vibe-coded MVP may work perfectly well as a prototype, but once real customers, real data and production workloads are involved, someone needs to work out: what can stay

You may be monitoring your AWS workloads. But are you monitoring the changes being made to AWS itself? When we review AWS environments, we often see good operational monitoring in place: EC2 CPU utilisation RDS storage and performance ECS task health Lambda errors Application availability That kind of monitoring is important. But it only tells part of the story. One area that is often overlooked is monitoring changes to the AWS control plane — the configuration and management

Here's a question every digital platform should be able to answer: "If our AWS production environment became unavailable today, how quickly could we recover?" Many cloud-native businesses assume that because they run entirely on AWS, disaster recovery is largely taken care of. It's a surprisingly common misconception. Having backups is important. But having backups is not a disaster recovery strategy. If a critical application became unavailable today, could your team answer