Label-Based Scheduler (CloudKeeper Tuner - GCP)
Label-Based Scheduler is now available on GCP Tuner, enabling customers to automate start and stop actions for GCP resources using labels and recurring schedules to reduce compute costs.

Customizable Cost Comparator (AWS, GCP, Azure)
Introduced the Cost Comparator with customizable multi-month comparisons, enabling users to compare costs across selected months with intuitive visual indicators.

Billing Summary Revamp (Azure)
Revamped the Azure Billing Summary to achieve feature parity with AWS and GCP, delivering a unified experience with enhanced cost insights, trends, and detailed billing analytics.

Gemini API Dashboard Revamp (GCP)
Revamped the Gemini API Cost Breakup Dashboard under the API section in GCP Lens to provide enhanced cost visibility, detailed usage insights, and comprehensive cost analysis.

VM Manager Dashboard Revamp (GCP)
Revamped the VM Manager Cost Breakup Dashboard under the Logging & Monitoring section in GCP Lens to provide enhanced cost visibility, structured breakdowns, and deeper usage insights.

2 New Recommendations (AWS)
Introduced new recommendations for ElastiCache and OpenSearch to identify resources incurring Extended Support charges and help users reduce unnecessary costs by upgrading to supported engine versions.

Recommendations Revamp (GCP)
Revamped the GCP Lens Recommendations experience with a modernized interface, enhanced recommendation insights, improved filtering, and a streamlined navigation experience

Virtual Machines Dashboard (Azure)
Introduced the Azure Virtual Machines Cost Breakup Dashboard to provide comprehensive visibility into Azure VM costs, spending trends, and compute cost distribution.

Log Analytics Dashboard (Azure)
Introduced the Azure Log Analytics Cost Breakup Dashboard to provide comprehensive visibility into Log Analytics costs, workspace-level spending, and usage trends.

SQL Database Dashboard (Azure)
Introduced the Azure SQL Database Cost Breakup Dashboard to provide comprehensive visibility into SQL Database costs, spending trends, and service-level cost distribution.
