Sthaha contributed to the sustainable-computing-io/kepler repository, architecting and implementing a robust power monitoring and analytics platform for cloud-native and bare-metal environments. Over seven months, Sthaha rewrote core components for maintainability, introduced structured logging, and expanded observability with Prometheus and Grafana integration. Leveraging Go, YAML, and shell scripting, Sthaha engineered features such as dynamic power attribution, Redfish and RAPL integration, and VM-aware monitoring, while improving deployment flexibility through Helm and OCI registry support. The work emphasized concurrency safety, configuration management, and comprehensive documentation, resulting in a scalable, testable system that streamlines diagnostics, deployment, and power analytics for operators.
September 2025: Delivered Kepler power monitoring enhancements using Redfish PowerSubsystem with fallback to the legacy Power API, enabling on-demand, multi-chassis power visibility and a new Prometheus metric kepler_platform_watts. Also produced comprehensive OCI Helm chart deployment documentation to streamline production deployments, GitOps workflows, monitoring, and troubleshooting. No major bugs fixed this month; focus was on feature delivery, reliability, and documentation. Overall, these efforts improve observability, reliability, and deployment agility, while laying groundwork for scalable power analytics across bare-metal fleets.
September 2025: Delivered Kepler power monitoring enhancements using Redfish PowerSubsystem with fallback to the legacy Power API, enabling on-demand, multi-chassis power visibility and a new Prometheus metric kepler_platform_watts. Also produced comprehensive OCI Helm chart deployment documentation to streamline production deployments, GitOps workflows, monitoring, and troubleshooting. No major bugs fixed this month; focus was on feature delivery, reliability, and documentation. Overall, these efforts improve observability, reliability, and deployment agility, while laying groundwork for scalable power analytics across bare-metal fleets.
2025-08 Monthly Summary for sustainable-computing-io/kepler focused on delivering architectural clarity, deployment flexibility, and improved observability. Key features delivered include comprehensive Kepler Architecture Documentation detailing system components, data flow, concurrency patterns, interfaces, and configuration management, plus an MSR fallback power meter support proposal (EP-002) to broaden deployment options when Intel RAPL is unavailable. A major bug fix improved QEMU-KVM VM detection accuracy on CentOS/RHEL/OpenStack by expanding detection patterns to include '/usr/libexec/qemu-kvm' alongside '/bin/qemu-system-*', ensuring VM metrics are captured in OpenStack deployments. Overall impact includes better onboarding, maintainability, and broader hardware coverage with more reliable metrics collection. Technologies/skills demonstrated include architecture documentation, MSR/RAPL concepts, Linux VM detection patterns, CentOS/RHEL/OpenStack deployment considerations, and cross-team documentation collaboration.
2025-08 Monthly Summary for sustainable-computing-io/kepler focused on delivering architectural clarity, deployment flexibility, and improved observability. Key features delivered include comprehensive Kepler Architecture Documentation detailing system components, data flow, concurrency patterns, interfaces, and configuration management, plus an MSR fallback power meter support proposal (EP-002) to broaden deployment options when Intel RAPL is unavailable. A major bug fix improved QEMU-KVM VM detection accuracy on CentOS/RHEL/OpenStack by expanding detection patterns to include '/usr/libexec/qemu-kvm' alongside '/bin/qemu-system-*', ensuring VM metrics are captured in OpenStack deployments. Overall impact includes better onboarding, maintainability, and broader hardware coverage with more reliable metrics collection. Technologies/skills demonstrated include architecture documentation, MSR/RAPL concepts, Linux VM detection patterns, CentOS/RHEL/OpenStack deployment considerations, and cross-team documentation collaboration.
July 2025 performance summary for sustainable-computing-io/kepler focused on stabilizing long-running workloads, expanding deployment flexibility, and strengthening developer velocity. Key outcomes include memory-safe terminated workload tracking with energy-based prioritization, configurable web server listen addresses, Kubernetes deployment with Helm and artifact release, extensive documentation governance, and an improved developer tooling experience. The work reduces operational risk, accelerates deployments, and provides clearer governance around power measurement and deployment practices.
July 2025 performance summary for sustainable-computing-io/kepler focused on stabilizing long-running workloads, expanding deployment flexibility, and strengthening developer velocity. Key outcomes include memory-safe terminated workload tracking with energy-based prioritization, configurable web server listen addresses, Kubernetes deployment with Helm and artifact release, extensive documentation governance, and an improved developer tooling experience. The work reduces operational risk, accelerates deployments, and provides clearer governance around power measurement and deployment practices.
June 2025 highlights: Advanced energy attribution improvements and reliability enhancements in the Kepler project, with a focus on business value through accurate power accounting, stable monitoring, and streamlined development/testing workflows.
June 2025 highlights: Advanced energy attribution improvements and reliability enhancements in the Kepler project, with a focus on business value through accurate power accounting, stable monitoring, and streamlined development/testing workflows.
May 2025 (2025-05) summary: Kepler development delivered production-grade build readiness, expanded observability and power-aware monitoring, VM instrumentation, and Grafana integration, while tightening reliability and testing capabilities. Key outcomes include: improved release readiness through production build support; real-time process/container visibility; configurable monitor cadence and staleness with per-process/container power calculation and exporter metrics; VM resource tracking and Prometheus-ready VM metrics; and enhanced Grafana dashboards and tooling. These changes drive faster issue diagnosis, better capacity planning, and more reliable deployments across cloud-native environments.
May 2025 (2025-05) summary: Kepler development delivered production-grade build readiness, expanded observability and power-aware monitoring, VM instrumentation, and Grafana integration, while tightening reliability and testing capabilities. Key outcomes include: improved release readiness through production build support; real-time process/container visibility; configurable monitor cadence and staleness with per-process/container power calculation and exporter metrics; VM resource tracking and Prometheus-ready VM metrics; and enhanced Grafana dashboards and tooling. These changes drive faster issue diagnosis, better capacity planning, and more reliable deployments across cloud-native environments.
April 2025 Highlights for sustainable-computing-io/kepler: Significant progress across logging, configuration, power analytics, and reliability. Key features shipped include migrating to structured logging with slog, Kingpin-based configuration parsing with host sysfs configuration, and a service-oriented power monitoring stack with RAPL support, node-level metrics, Prometheus exporter, and API server. Dynamic power data collection at regular intervals was added to improve analytics cadence. Maintenance and tooling improvements enhanced test coverage, licensing hygiene, and code quality. Reliability improvements fixed concurrency issues in the Power Collector, refactored monitor snapshot handling to atomic pointers, and expanded concurrency testing, while startup sequencing and lifecycle management were streamlined for simpler, more robust operations. These efforts deliver clearer observability, scalable configuration, richer power analytics, and more robust startup/shutdown behavior, enabling faster diagnostics and targeted power analytics for operators and developers.
April 2025 Highlights for sustainable-computing-io/kepler: Significant progress across logging, configuration, power analytics, and reliability. Key features shipped include migrating to structured logging with slog, Kingpin-based configuration parsing with host sysfs configuration, and a service-oriented power monitoring stack with RAPL support, node-level metrics, Prometheus exporter, and API server. Dynamic power data collection at regular intervals was added to improve analytics cadence. Maintenance and tooling improvements enhanced test coverage, licensing hygiene, and code quality. Reliability improvements fixed concurrency issues in the Power Collector, refactored monitor snapshot handling to atomic pointers, and expanded concurrency testing, while startup sequencing and lifecycle management were streamlined for simpler, more robust operations. These efforts deliver clearer observability, scalable configuration, richer power analytics, and more robust startup/shutdown behavior, enabling faster diagnostics and targeted power analytics for operators and developers.
March 2025 monthly summary for sustainable-computing-io/kepler. Focused on establishing a solid foundation for a maintainable and auditable codebase through a project rewrite and governance setup. Delivered foundational documentation and coding standards, enabling consistent development, testing, and reviews.
March 2025 monthly summary for sustainable-computing-io/kepler. Focused on establishing a solid foundation for a maintainable and auditable codebase through a project rewrite and governance setup. Delivered foundational documentation and coding standards, enabling consistent development, testing, and reviews.
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