GCP Resource-Based Scheduler for Compute Engine & Cloud SQL
This feature enables automated scheduling for Compute Engine VMs and Cloud SQL instances, so users can run resources only when needed.
AWS & GCP – Saving Achieved Page
The new Savings Achieved Dashboard provides visibility into actual cost savings realized from successfully remediated Cleaner recommendations.

AWS & GCP - Recommendation History
The new Recommendation History page provides a consolidated view of inactive recommendations across the following categories: Cleaner, OverProvisioned, and Modernization.

GCP | Account Onboarding to incorporate GCP Resource-Based Scheduling
Scheduler onboarding is now available on GCP Tuner, allowing users to enable Recommendations and Scheduler as part of a unified project onboarding flow

Tuner - GCP Recommendations - Cleaner | App Engine
Identifies App Engine services or versions with zero HTTP requests that continue to incur compute, storage, and logging costs. Deleting unused services or switching to automatic scaling reduces unnecessary charges and cleans up associated resources.

AWS & GCP - Recommendation Age
A new Recommendation Age column has been added to the Recommendations → Insights page for both AWS and GCP.

Tuner - GCP Recommendations - Cleaner | DataProc
Identifies Dataproc clusters with no job activity, which continue to incur compute, storage, and management costs. Stopping or deleting these idle clusters helps reduce unnecessary charges and maintain a clean, cost-efficient environment.

Tuner - GCP Recommendations - OverProvisioned | PD
Identifies Persistent Disks with IOPS or throughput consistently below provisioned capacity, leading to unnecessary costs. Rightsizing these disks based on actual usage reduces spend while maintaining safe performance headroom for workloads.

AWS & GCP | Recommendation Explainer
A new Recommendation Info Drawer has been introduced to enhance the Recommendations experience in CK Tuner.

Custom Reports (AWS)
Enabled configurable, saveable cost reports with advanced grouping and filtering options.

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