Harness the power of natural language to simplify complex cloud operations.

We are thrilled to announce a new way to interact with the Omnistrate platform: native Agentic AI integrations powered by our new MCP server. This innovation is set to redefine how you interact with your cloud infrastructure, making DevOps and SRE tasks more intuitive, efficient, and accessible than ever before for your distribution channels. Our MCP tools are purpose-built and deliver on the primarily value of an integration with an AI Agent: to sift through unstructured data from multiple data sources.

Now in Part 3, we turn to the solution: What if you didn’t have to abandon your existing stack, but could augment it with a purpose-built control plane, one that handled tenant lifecycle, deployment orchestration, and multi-cloud complexity out of the box?

Imagine a data analytics SaaS startup, “DataCo”, that wants to build Redis SaaS as an example. They use Argo CD to deploy their analytics application (a set of microservices + some Spark jobs) onto the EKS cluster.

Modern platform engineering teams often assemble “DIY” control planes for their Products using open-source building blocks: Kubernetes for the runtime, Terraform for infrastructure provisioning, and Argo CD for continuous deployment. This stack promises cloud-agnostic flexibility and full control. But as many CTOs and platform VPs have learned, stitching these tools together into a robust control plane is hard.