What's New with CloudKeeper?

The primary goal of this recommendation is to reduce unnecessary compute cost by eliminating underutilized instances and optimizing resource allocation. 

This recommendation identifies Google Cloud Storage buckets that contain incomplete multipart uploads.

This recommendation detects AlloyDB instances that are overprovisioned relative to their actual workload. 

This recommendation detects Cloud SQL instances that are overprovisioned relative to their actual workload.

This recommendation detects Cloud Run services whose container configurations are larger than their actual workload requires.

This recommendation identifies Cloud SQL instances running on end-of-life (EOL) major versions of MySQL or PostgreSQL that are incurring extended support charges in GCP. 

App Engine support to the Scheduler, enabling automatic start and stop scheduling for App Engine versions to reduce compute costs during off-hours.

Securely access CloudKeeper Tuner insights directly from AI assistants like Cursor, Claude, Kiro, and VS Code Copilot using natural language—without leaving your workflow. 

Introduced the Azure File Storage Cost Breakup Dashboard to provide comprehensive visibility into Azure File Storage costs, usage trends, and storage cost distribution.

We've extended the GCP Resource-Based Scheduler on CK Tuner to support Stateless Managed Instance Groups (MIGs). Customers can now automate Stop/Start actions on their MIGs to reduce compute costs during off-hours or low-traffic windows.