The proteanTecs platform has seen substantial growth, both functionally and from an end-user standpoint. In the early stages of the company’s history, application stability and availability were the most critical factors, but as its solution scaled, it began to notice sub-optimized resources impacting its budget.

“Our development team builds their microservices and chooses their own resource request and limits,” explained Amit Daniel, Director of DevOps in proteanTecs. “However, the developers tended to allocate risk-averse resources to ensure their services were working as expected. This approach kept our systems available and stable, but it was inefficient from a cost standpoint.”

The DevOps team focused on optimizing its Kubernetes environment to eliminate unnecessary resources and reduce cloud costs. However, its toolset had several gaps at the time, making optimization a complex and time-consuming task.

“With tools like Datadog, we can see whatever we want; requests, limits, etc., but they only give us visibility. We needed better insights into what resources our microservices need to run properly,” Daniel said. “PerfectScale by DoiT provides us with the exact visibility and insights we need to optimize our Kubernetes costs. It compares the resources we have allocated for each service vs actual utilization to identify over-provisioning, then tells us what actions we need to take to cut costs safely.”