When you launch an application in the public cloud, you usually put everything on one provider, but what if you could choose the components based on cost and technology and have your database one place and your storage another?
That’s what Cast.ai says that it can provide, and today it announced a healthy $7.7 million seed round from TA Ventures, DFX, Florida Funders and other unnamed angels to keep building on that idea. The round closed in June.
Company CEO and co-founder Yuri Frayman says that they started the company with the idea that developers should be able to get the best of each of the public clouds without being locked in. They do this by creating Kubernetes clusters that are able to span multiple clouds.
“Cast does not require you to do anything except for launching your application. You don’t need to know […] what cloud you are using [at any given time]. You don’t need to know anything except to identify the application, identify which [public] cloud providers you would like to use, the percentage of each [cloud provider’s] use and launch the application,” Frayman explained.
This means that you could use Amazon’s RDS database and Google’s ML engine, and the solution decides how to make that work based on your requirements and price. You set the policies when you are ready to launch and Cast will take care of distributing it for you in the location and providers that you desire, or that makes most sense for your application.
The company takes advantage of cloud native technologies, containerization and Kubernetes to break the proprietary barriers that exist between clouds, says company co-founder Laurent Gil. “We break these barriers of cloud providers so that an application does not need to sit in one place anymore. It can sit in several [providers] at the same time. And this is great for the Kubernetes application because they’re kind of designed with this [flexibility] in mind,” Gil said.
Developers use the policy engine to decide how much they want to control this process. They can simply set location and let Cast optimize the application across clouds automatically, or they can select at a granular level exactly the resources they want to use on which cloud. Regardless of how they do it, Cast will continually monitor the installation and optimize based on cost to give them the cheapest options available for their configuration.
The company currently has 25 employees with four new hires in the pipeline, and plans to double to 50 by the end of 2021. As they grow, the company is trying keep diversity and inclusion front and center in its hiring approach and they currently have women in charge of HR, marketing and sales at the company.
“We have very robust processes on the continuous education inside of our organization on diversity training. And a lot of us came from organizations where this was very visible and we took a lot of those processes [and lessons] and brought them here,” Frayman said.
This post first appeared here: https://techcrunch.com/2020/11/25/cast-ai-nabs-7-7m-seed-to-remove-barriers-between-public-clouds/