As organizations seek to utilize legacy data centers while maximizing the agility of clouds like Amazon Web Services, Microsoft Azure, and Google Cloud, most organizations operate in a hybrid cloud model. Tasked with supporting mission-critical infrastructure and under pressure to mitigate costs, cloud, engineering, and IT operations teams are often caught in the middle of applications and finance.

Application architectures have grown increasingly complex—highly distributed and often as microservices hosted across multiple environments. To assure performance, there is pressure to over-allocate resources: Larger EC2 instances, bigger volumes, more vCPU, more vMem. However, this wasteful resource allocation has financial and environmental costs—and doesn’t solve for continuous performance. Engineers’ hands are tied—without the right data, insights, and action plan.

In order to get maximum business value for every dollar invested, organizations need continuous and actionable insights to manage the tradeoffs between application performance and cost. With such a capability in place, organizations can innovate with confidence that hybrid cloud resources are properly allocated, costs are controlled, and performance is assured.