Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.

Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.

Cloudchipr has saved over 40% in cloud costs and around 1,500 hours of engineering work. It’s a game-changer for our DevOps team, running multiple workflows that detect data transfer anomalies, back up and deactivate unused cloud resources, identify resource owners, and more.

Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.

With Cloudchipr, it took us less than 3 minutes to identify wasted cloud resources accounting for 30% of our total cloud costs. Now, Cloudchipr’s automation workflows check our clouds every hour and notify us or take action when savings opportunities are found.

Cloudchipr is a FinOps platform powered by automation workflows that saved us over $500,000 on cloud costs across AWS, GCP, and Azure. We use workflows to automatically stop expensive GPU nodes and Kubernetes clusters when they are idle for more than 24 hours.