Resource Control within a FinOps Strategy

A FinOps graphic

Densify is a proud member of the FinOps Foundation

Complete FinOps Programs Include Resource Control and Optimization

Many enterprises struggle with the infrastructure optimization part of FinOps programs.  Finance tools that make suggestions on optimizations are quickly discounted because application owners don’t want to change the resources or single cloud instances of applications that are currently running well based on basic suggestions.

Kubernetes stacks are even more complex, and resources play a critical role in performance and reliability, so making changes to cut cost can be daunting.  The result is that most organizations maintain a significant amount of excess capacity.

Densify sets the bar on precision in optimizing the resources of “Full-Stack” Kubernetes and Cloud by offering the greatest depth of analytics and configurability to drive recommendations that application owners will trust.

Densify can help your platform owners balance infrastructure cost and performance by providing:

  • Precision analytics that examine workloads and key app specific constraints to provide actionable resource and instance specifications that meet the needs of workloads AND a reasonable “spend tolerance” as established by FinOps policy
  • Detailed information on why alternates that cost less will meet the needs of an application safely
  • Flexible ways to integrate into processes and approval workflows that initiate execution and can end in automated application of the approved changes

Densify does not conflict with FinOps  processes and tools. The focus is on tackling the consumption part of the challenge by matching application demands to the right resources and instances at the container or cloud instance level.

When resources are optimized, cloud bills get smaller and apps run better.

Visualizing the impact of changing the Spend Tolerance guardrail for an app deployed on an Azure VM
(Catalog Map filtered to only show commonly used instance types)