Every change is a project
Teams must identify and prioritize the right opportunities, find the owner, prepare the change, assess the risk, get it reviewed, ship it and measure the cost savings.
Cloud Cost Optimization Platform
Finitizer analyzes your cloud environment to find cost-saving opportunities across AWS, Google Cloud, and BigQuery. It identifies waste and architecture improvements, estimates the savings, prepares a safe change for engineering review, and verifies the result after implementation.
Cloud spend stays high because finding waste and architecture inefficiencies is difficult, and acting on them is harder.
Teams must identify and prioritize the right opportunities, find the owner, prepare the change, assess the risk, get it reviewed, ship it and measure the cost savings.
Engineering teams are busy running the business and delivering revenue-generating work, leaving limited time for optimization.
At $10 million in annual cloud spend, an organization may need 5,000 to 10,000 cost-saving changes. Finding, prioritizing, and implementing that volume manually can take years without significant automation.
Expertise is also fragmented: a data engineer, for example, will not be able to optimize AI, Kubernetes, networking, storage, or cloud commitments.