February 2026 monthly summary for the Kepler portfolio across sustainable-computing-io/kepler and related OpenShift ecosystem work. Focused on reliability, visibility, and scalability to deliver business value through accurate metrics and cost-aware optimizations. Key activities spanned deterministic data collection improvements, GPU power/energy telemetry expansions, a kubelet-based informer to reduce API server load, and a new Kepler operator release with RBAC and enhanced monitoring.

January 2026 monthly summary for sustainable-computing-io/kepler focused on delivering a GPU power monitoring foundation across vendor backends, enabling per-process power attribution, GPU sharing modes, and idle power detection for Kubernetes/ML workloads. Implemented NVIDIA NVML-based monitoring with device discovery, metrics, and Prometheus integration; established a vendor-agnostic backend registry and core GPUPowerMeter infrastructure to support multi-vendor backends (NVIDIA in this release, with placeholders for AMD/Intel). Added extensive tests and a configurable experimental.gpu.enabled flag to ensure safe rollout. Prepared Grafana-ready observability with key metrics and dashboards, setting the stage for energy visibility, cost savings, and more predictable workload behavior in GPU-heavy deployments.

Monthly work summary for 2025-11 focused on expanding test coverage for container QoS detection in OpenShift with cgroup v2, together with quality improvements in the kepler project. This month centered on validating QoS detection paths under cgroup v2 and capturing scenarios that ensure reliable container classification in OpenShift environments.

August 2025 (2025-08) delivered a lightweight README enhancement for the sustainable-computing-io/kepler repository: a GitHub Star History Chart added to the README to visualize project star growth over time. This feature improves visibility of engagement for contributors, stakeholders, and potential sponsors, supporting faster onboarding and marketing momentum. No major bugs were reported or fixed this month; maintenance focused on delivering the feature and documenting it for long-term maintainability. The work demonstrates strong documentation-driven delivery, low maintenance overhead, and solid commit hygiene.

July 2025 monthly summary for sustainable-computing-io/kepler: Key feature delivered: Metrics configuration refactor and new MetricsLevelAll. Refactored metrics level types from the internal exporter package to the config package; introduced new constant MetricsLevelAll; updated imports and tests to align with the new structure. Commit: ea7568eb687ba480c8ba09e0bbe89bcc5221b012.

June 2025: Kepler delivered notable improvements in observability, labeling fidelity, and quality assurance. Key features focused on pod-aware container metrics with enhanced labeling, configurable Prometheus metric exposure, and CI/quality upgrades. The changes increase data fidelity for container/pod mapping and power metrics, reduce toil with better test coverage, and strengthen maintainability.

May 2025 monthly summary for sustainable-computing-io/kepler: Delivered secure TLS configuration via a web config file, expanded power observability with a new stdout exporter, and introduced Kubernetes pod-level power metrics. Upgraded the toolchain to Go 1.23, and improved logging to stderr for better aggregation and debugging. These changes strengthen security, enhance real-time visibility into power usage, support scalable Kubernetes workloads, and improve developer efficiency.

April 2025 monthly summary for sustainable-computing-io/kepler focused on expanding observability, performance profiling, and metric standardization to drive data-driven optimization and energy-aware resource management. Delivered core features, initiated profiling capabilities, and ran a targeted performance spike to compare observation approaches, laying groundwork for faster incident response and cost-efficient operation.