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

Anomaly Detection – Enhancements (AWS & GCP)
Enhanced the AWS Anomaly Detection experience with improved anomaly insights, refined cost metrics, and better alignment between the Lens UI and anomaly email notifications.
Files Dashboard (Azure)
Introduced the Azure File Storage Cost Breakup Dashboard to provide comprehensive visibility into Azure File Storage costs, usage trends, and storage cost distribution.

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.
