Copilot for Tech Stack Architecture

One of the hardest things as a technical leader is getting a deep understanding of your product’s current architecture and finding the right building blocks to extend it. Every team I’ve worked with has built their own tooling to try and understand this, and none of them have been happy with the result. Platforms like Catio, which can leverage the scale of data and surface optimizations in this space with AI, will become increasingly important to running those kinds of businesses effectively and efficiently.

As an organization it was very challenging getting quantifiable visibility on cost performance of our cloud operation as many engineers were spinning things up to best accomplish their day-to-day tasks. If Catio can deliver on the promise of delivering these insights along with potential recommendations in an easily digestible manner, it would be a game changer as a go-to tool to track and jointly evaluate technical roadmaps and cost performance without interfering with the need for decentralized decision making.

Understanding our use of the cloud has been a major pain point throughout my career. We meet for an hour each week to debate architectural approaches, when there is either no right answer and the debate is pointless, or there is an obvious answer we wish to be advised on. Auditing our cloud architecture would save us morale, help us drive to solutions, and improve our overall development quality. Beyond, our CTO would welcome gaining broader objective visibility across our architecture performance, to effectively relay it to our CEO and the board. If Catio can fulfill these needs, it would be tremendously valuable to any organization.