A few months back, we saw a tweet about how every Infrastructure SaaS company needs to separate the control plane from the data plane to build a successful product. Reading this got us excited since we were working on a platform that would make this really easy. We would love to talk to you if you are already familiar with these patterns and are building an Infrastructure SaaS product
We spent the last six years at Confluent, helping transform it into a world-class Infrastructure SaaS company. We shared the same sentiment as this tweet - building Infrastructure SaaS products can be much simpler if we have a platform that helps develop a reliable control plane. Companies could save significant costs and time, and they could leverage their engineers to focus more on their core products. We thought it would be helpful to explain the end-to-end architecture of an Infrastructure SaaS product, the role of the data plane and control plane, and the problems that make this challenging.
Infrastructure SaaS refers to any infrastructure or platform product provided as a service. It includes data infrastructure, data analytics, machine learning/AI, security, developer productivity, and observability products. Sai Senthilkumar from Redpoint wrote an excellent article on this topic and how these Infrastructure SaaS companies are among the fastest-growing companies.