
Preeti Dewani developed and deployed a comprehensive observability framework for the modelcontextprotocol/registry service over three months. She implemented OpenTelemetry metrics instrumentation and integrated Prometheus-compatible monitoring, enabling real-time tracking of request latency, counts, and errors. Using Go and YAML, she established a unified stack with VictoriaMetrics, VMAgent, Grafana, and centralized logging via VictoriaLogs and the OpenTelemetry Collector. Her work extended to Kubernetes, enhancing the Collector DaemonSet to capture resource metrics and events, improving detection of pod failures and resource pressure. This engineering effort provided end-to-end visibility, streamlined troubleshooting, and supported capacity planning, demonstrating depth in cloud-native observability practices.

October 2025 — ModelContext Protocol Registry: Implemented OpenTelemetry-based Kubernetes telemetry enhancements to expand failure-mode visibility beyond existing logs, focusing on the default namespace. Enhanced the OpenTelemetry Collector DaemonSet with additional permissions and configurations to collect Kubernetes events and resource metrics, improving detection and diagnosis of pod startup issues and resource pressure. This work strengthens observability, reduces MTTR, and supports capacity planning.
October 2025 — ModelContext Protocol Registry: Implemented OpenTelemetry-based Kubernetes telemetry enhancements to expand failure-mode visibility beyond existing logs, focusing on the default namespace. Enhanced the OpenTelemetry Collector DaemonSet with additional permissions and configurations to collect Kubernetes events and resource metrics, improving detection and diagnosis of pod startup issues and resource pressure. This work strengthens observability, reduces MTTR, and supports capacity planning.
2025-09 Monthly Summary for repository modelcontextprotocol/registry: Delivered a unified observability stack enabling end-to-end visibility for MCP-registry pods, combining metrics, storage, dashboards and alerting with a dedicated logging pipeline. Impact includes faster troubleshooting, proactive alerting, and improved uptime. No major bug fixes were recorded this month. Technologies demonstrated include VictoriaMetrics, VMAgent, Grafana, VictoriaLogs, and OpenTelemetry Collector, with traceability via commits a9ff705d80d37ce4fc4c1831515c4e592ad629d3 and 6ed625f4763b030d1cb97a3d75d41036d063e046.
2025-09 Monthly Summary for repository modelcontextprotocol/registry: Delivered a unified observability stack enabling end-to-end visibility for MCP-registry pods, combining metrics, storage, dashboards and alerting with a dedicated logging pipeline. Impact includes faster troubleshooting, proactive alerting, and improved uptime. No major bug fixes were recorded this month. Technologies demonstrated include VictoriaMetrics, VMAgent, Grafana, VictoriaLogs, and OpenTelemetry Collector, with traceability via commits a9ff705d80d37ce4fc4c1831515c4e592ad629d3 and 6ed625f4763b030d1cb97a3d75d41036d063e046.
August 2025 monthly summary for modelcontextprotocol/registry. Focused on delivering observability improvements through OpenTelemetry metrics instrumentation. Implemented Prometheus client dependencies, initialized metrics, registered with the HTTP server, and added a request middleware to capture latency, request counts, and errors. This work enables real-time monitoring, alerting, and data-driven performance optimization, supporting SLA adherence and capacity planning. Commits: d237fc90f8a56a6fa6e2869421181f83ccdbfc3b.
August 2025 monthly summary for modelcontextprotocol/registry. Focused on delivering observability improvements through OpenTelemetry metrics instrumentation. Implemented Prometheus client dependencies, initialized metrics, registered with the HTTP server, and added a request middleware to capture latency, request counts, and errors. This work enables real-time monitoring, alerting, and data-driven performance optimization, supporting SLA adherence and capacity planning. Commits: d237fc90f8a56a6fa6e2869421181f83ccdbfc3b.
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