
Sandeepa Bhat developed and enhanced cloud cost management features in the harness/mcp-server repository, focusing on cost visibility, forecasting, and observability. Over three months, Sandeepa delivered API endpoints and client functions in Go to retrieve and analyze compute commitment coverage, supporting flexible queries and grouping by service, type, and region. The work included integrating AWS data, implementing daily utilization APIs, and adding logging for improved monitoring and debugging. By updating documentation and refining orchestrator workflows, Sandeepa enabled more reliable, modular, and data-driven cost governance. The engineering demonstrated depth in backend development, API integration, and cloud cost analysis without introducing regressions.

September 2025 monthly summary for harness/mcp-server focusing on observability and debugging improvements. Implemented CCM commitment analysis logging to enhance visibility into utilization data handling, enabling faster debugging and more reliable monitoring. The change is aligned with CCM-25456 and delivered with a traceable commit.
September 2025 monthly summary for harness/mcp-server focusing on observability and debugging improvements. Implemented CCM commitment analysis logging to enhance visibility into utilization data handling, enabling faster debugging and more reliable monitoring. The change is aligned with CCM-25456 and delivered with a traceable commit.
August 2025 monthly summary for harness/mcp-server: Deliveries focused on cost visibility, forecasting, and orchestrator reliability. Implemented EC2 Commitment Analysis with RI/Savings Plans insights, utilization breakdowns, and a Savings Estimator tool; introduced a daily utilization API for commitments. Added Commitment Coverage Grouping by type, instance family, and regions with context-aware follow-up prompts to generate actionable insights. Enhanced the CCM Orchestrator with system prompts, a detailed workflow for creating cost perspectives, and a modular orchestrator client to improve modularity and handling of array parameters. Fixed a critical issue in CCM tools around string array parameter handling to improve reliability. These efforts collectively improve cost optimization visibility, forecasting accuracy, and the maintainability of CCM workflows, enabling faster, data-driven decision making for cost management.
August 2025 monthly summary for harness/mcp-server: Deliveries focused on cost visibility, forecasting, and orchestrator reliability. Implemented EC2 Commitment Analysis with RI/Savings Plans insights, utilization breakdowns, and a Savings Estimator tool; introduced a daily utilization API for commitments. Added Commitment Coverage Grouping by type, instance family, and regions with context-aware follow-up prompts to generate actionable insights. Enhanced the CCM Orchestrator with system prompts, a detailed workflow for creating cost perspectives, and a modular orchestrator client to improve modularity and handling of array parameters. Fixed a critical issue in CCM tools around string array parameter handling to improve reliability. These efforts collectively improve cost optimization visibility, forecasting accuracy, and the maintainability of CCM workflows, enabling faster, data-driven decision making for cost management.
July 2025: Delivered Cloud Cost Management (CCM) commitment coverage retrieval in harness/mcp-server by introducing an API endpoint and a client function to fetch compute commitment coverage data. The feature supports date-range queries and optional filters for services and cloud accounts, with documentation updated in README. This enhances cost visibility and governance for CCM workloads with minimal surface-area change and clean integration with existing CCM workflows.
July 2025: Delivered Cloud Cost Management (CCM) commitment coverage retrieval in harness/mcp-server by introducing an API endpoint and a client function to fetch compute commitment coverage data. The feature supports date-range queries and optional filters for services and cloud accounts, with documentation updated in README. This enhances cost visibility and governance for CCM workloads with minimal surface-area change and clean integration with existing CCM workflows.
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