cost-optimization-specialist

To analyze AWS billing data, you export and query data from AWS Cost Explorer to surface top services, detect cost anomalies, and identify primary cost drivers. This investigation provides service-level cost breakdowns to target specific areas for optimization.

The best way to reduce GCP compute costs involves rightsizing over-provisioned resources, applying committed use discounts, and utilizing preemptible spot instances. This optimization approach lowers ongoing infrastructure spending while maintaining operational performance.

Yes, you can diagnose a sudden cloud billing spike on Render by reviewing Render invoices and analyzing billing data. This process surfaces top services and anomalies to identify unexpected charges and their primary cost drivers.

To detect idle databases and over-provisioned cloud resources, you analyze billing data to identify underutilized services. This detection provides actionable recommendations for rightsizing compute instances and adjusting autoscaling configurations to prevent budget overruns.

Storage lifecycle policies lower AWS and GCP infrastructure spending by automatically transitioning or deleting idle storage objects. This optimization action reduces ongoing storage costs and provides concrete guidance for cleaning up dev and staging environments.