“With CloudZero, we can see what we’re spending per individual feature and product easier than within the AWS billing console. We were trying to get this information with raw tags in AWS, but it was never accurate. It’s empowering to share that data with the individual product owners, so their teams can take ownership of their costs.”
No more manually setting budgets, defining parameters, or creating sets of rules for the program to follow. CloudZero uses machine learning to automatically determine which anomalies are worth addressing, helping you fix issues before they get out of control.
CloudZero sorts data by product, feature, or Dev team— then sends alerts directly to that team’s dedicated Slack channel. Ensuring that teams only receive data relevant to them helps eliminate frustration and keep your Devs buzzing along towards great, cost-effective products.
Without any manual input, CloudZero organizes your resources by product, feature, and team — even when they're running in containers. That gives you clear oversight and understanding of your cloud costs based on the metrics that matter most — and helps you do something about it before you receive an eye-popping bill.
CloudZero collects both cost and engineering data, showing you the source of a cost in minutes. This significantly reduces the time it takes to understand what happened and how you can fix it.
For workloads running in containers orchestrated by Kubernetes, CloudZero combines container utilization data with your actual AWS costs to give you accurate allocation of costs within a Kubernetes cluster.
And CloudZero integrates with GitHub, Jenkins, or other parts of your CI/CD pipeline to collect data, making the connection between a cost event and the engineering activity that caused it even clearer.
Immediately understand if the bug fix or new feature you just just pushed to prod caused your costs to change.
Learn about the the ways cloud savvy companies are using CloudZero.