IBM/cp4waiops-samples
Dec 2025 – Feb 2026
3 Months active
Languages Used
JSONMarkdown
Technical Skills
AIOpsData VisualizationGrafanaKubernetesMonitoringPrometheus
Arturo Cabre
PROFILE
Arturo Cabre
Contributed to IBM/cp4waiops-samples by developing and refining Grafana dashboards to enhance observability and monitoring for AIOps and Kubernetes environments. Focused on building dashboards for analytics, policy automation, and Kubernetes (k3s) monitoring, the work included improving metric accuracy, updating dashboard versions, and ensuring compatibility across Grafana releases. Enhanced Prometheus integration and clarified documentation to streamline onboarding and maintenance. Addressed issue tracking by improving Jira and GitHub descriptions, supporting faster triage and resolution. Utilized skills in Grafana, Prometheus, and Kubernetes, with technical contributions in JSON and Markdown, resulting in more reliable monitoring solutions and improved operational visibility for users.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
13Total
Bugs
1
Commits
13
Features
6
Lines of code
389,475
Activity Months3
Your Network
1005 peopleSame Organization
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Work History
February 2026
1 Commits
Feb 1, 2026February 2026: Maintained issue quality for IBM/cp4waiops-samples with a focus on the AIOps Usage Dashboard. No new features released; major work centered on clarifying Jira and GitHub issue descriptions to improve issue tracking clarity and triage efficiency. Commit reference: 5930d9961396a7d6ed5da54c907e2178f706787c.
1 Commits
Feb 1, 2026February 2026: Maintained issue quality for IBM/cp4waiops-samples with a focus on the AIOps Usage Dashboard. No new features released; major work centered on clarifying Jira and GitHub issue descriptions to improve issue tracking clarity and triage efficiency. Commit reference: 5930d9961396a7d6ed5da54c907e2178f706787c.
February 2026
January 2026
7 Commits • 3 Features
Jan 1, 2026Summary for 2026-01 focusing on delivering improved observability and Kubernetes monitoring in IBM/cp4waiops-samples. The month emphasized Grafana dashboard cleanup, accuracy improvements, and the addition of a Kubernetes (k3s) monitoring dashboard, alongside Prometheus monitoring configuration enhancements and updated documentation. These changes reduced dashboard noise, improved metric reliability, and expanded monitoring coverage for Kubernetes clusters, enabling faster issue detection and data-driven operational decisions.
January 2026
7 Commits • 3 Features
Jan 1, 2026Summary for 2026-01 focusing on delivering improved observability and Kubernetes monitoring in IBM/cp4waiops-samples. The month emphasized Grafana dashboard cleanup, accuracy improvements, and the addition of a Kubernetes (k3s) monitoring dashboard, alongside Prometheus monitoring configuration enhancements and updated documentation. These changes reduced dashboard noise, improved metric reliability, and expanded monitoring coverage for Kubernetes clusters, enabling faster issue detection and data-driven operational decisions.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for IBM/cp4waiops-samples: Delivered three Grafana-focused enhancements to strengthen observability and policy automation, plus documentation refinements to ease onboarding. Key features delivered include Grafana Dashboards for AIOps Analytics (metrics for Spark jobs, event classification, and API performance) with version updates and dynamic-link compatibility; Grafana Dashboard for Policy Automation (monitoring pod performance and resource utilization) with a Grafana version range update (4.6.1 → 4.10.1); and Grafana Dashboards Documentation Improvements (clarified setup instructions in the README and fixed a typo). Major bugs fixed: none reported this month; the work included compatibility and stability improvements (dynamic links, Grafana version compatibility) embedded in feature commits. Overall impact: enhanced visibility into AIOps workloads and policy automation, enabling faster troubleshooting, better capacity planning, and smoother onboarding for teams relying on IBM Cloud Pak for AIOps. Technologies/skills demonstrated: Grafana dashboards design and integration, version management and compatibility fixes, documentation craftsmanship for onboarding and maintenance, and repository collaboration in IBM/cp4waiops-samples.
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for IBM/cp4waiops-samples: Delivered three Grafana-focused enhancements to strengthen observability and policy automation, plus documentation refinements to ease onboarding. Key features delivered include Grafana Dashboards for AIOps Analytics (metrics for Spark jobs, event classification, and API performance) with version updates and dynamic-link compatibility; Grafana Dashboard for Policy Automation (monitoring pod performance and resource utilization) with a Grafana version range update (4.6.1 → 4.10.1); and Grafana Dashboards Documentation Improvements (clarified setup instructions in the README and fixed a typo). Major bugs fixed: none reported this month; the work included compatibility and stability improvements (dynamic links, Grafana version compatibility) embedded in feature commits. Overall impact: enhanced visibility into AIOps workloads and policy automation, enabling faster troubleshooting, better capacity planning, and smoother onboarding for teams relying on IBM Cloud Pak for AIOps. Technologies/skills demonstrated: Grafana dashboards design and integration, version management and compatibility fixes, documentation craftsmanship for onboarding and maintenance, and repository collaboration in IBM/cp4waiops-samples.
December 2025
Activity
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Quality Metrics
Correctness96.8%
Maintainability89.2%
Architecture92.4%
Performance90.8%
AI Usage26.2%
Skills & Technologies
Programming Languages
JSONMarkdown
Technical Skills
AIOpsData AnalysisData VisualizationGrafanaKubernetesKubernetes MonitoringMonitoringOpenShiftPrometheusdashboard configurationdashboard developmentdata visualizationdocumentationmonitoring solutionsmonitoring tools
Repositories Contributed To
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