porter-dev/porter-charts
Jan 2025 – Feb 2026
9 Months active
Languages Used
YAMLyamlCSSGoHTMLJavaScriptJSON
Technical Skills
DevOpsHelmInfrastructureKubernetesBackend DevelopmentDashboard Development
Marcelo F. Cândido
PROFILE
Marcelo F. Cândido
Marcelo Candido contributed to the porter-dev/porter-charts repository by building and enhancing monitoring, dashboard, and deployment features for Kubernetes environments. He developed unified monitoring dashboards using Grafana and Prometheus, integrating CPU, memory, and log metrics to improve observability and incident response. Marcelo improved deployment reliability by refining YAML configuration references and automating dashboard provisioning, ensuring accurate data visualization and reducing misconfigurations. His work included backend and frontend development, leveraging Go, YAML, and JavaScript to streamline configuration management and dashboard integration. The depth of his contributions is reflected in the repository’s increased stability, maintainability, and visibility across diverse cluster topologies.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
18Total
Bugs
5
Commits
18
Features
7
Lines of code
3,548
Activity Months9
Your Network
13 peopleShared Repositories
13
Ben GreenbergMember
bengreenberg5Member
David TownleyMember
David TownleyMember
Edwin HermansMember
georgez98Member
Gilad KMember
Kevin CarterMember
Mauricio AraujoMember
Work History
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for porter-dev/porter-charts: Delivered a targeted fix to YAML configuration references for scaling and deployment, strengthening reference integrity and naming conventions to support reliable deployments and autoscaling. The change prevents misconfigurations in scaleTargetRef and value references, improving deployment stability and CI/CD confidence.
1 Commits
Feb 1, 2026February 2026 monthly summary for porter-dev/porter-charts: Delivered a targeted fix to YAML configuration references for scaling and deployment, strengthening reference integrity and naming conventions to support reliable deployments and autoscaling. The change prevents misconfigurations in scaleTargetRef and value references, improving deployment stability and CI/CD confidence.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 20262026-01 monthly summary for porter-charts. Delivered Grafana dashboards and corrected data source IDs to improve monitoring reliability for general and node dashboards. These changes ensure accurate data fetching and visualization, enabling faster issue diagnosis and better visibility of system health.
January 2026
1 Commits • 1 Features
Jan 1, 20262026-01 monthly summary for porter-charts. Delivered Grafana dashboards and corrected data source IDs to improve monitoring reliability for general and node dashboards. These changes ensure accurate data fetching and visualization, enabling faster issue diagnosis and better visibility of system health.
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on elevating observability and data-driven decision-making through unified monitoring dashboards in porter-charts. Delivered an integrated visualization surface using Prometheus/Loki for metrics and logs, complemented by a Grafana node-metrics dashboard for Kubernetes. The work enables faster incident detection, better capacity planning, and clearer performance insights for stakeholders.
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on elevating observability and data-driven decision-making through unified monitoring dashboards in porter-charts. Delivered an integrated visualization surface using Prometheus/Loki for metrics and logs, complemented by a Grafana node-metrics dashboard for Kubernetes. The work enables faster incident detection, better capacity planning, and clearer performance insights for stakeholders.
December 2025
October 2025
2 Commits
Oct 1, 2025October 2025 monthly summary for porter-dev/porter-charts: Focused on stabilizing Metabase addon deployment by correcting environment variable handling and YAML parsing. This work reduced deployment failures and improved reliability for Metabase dashboards.
October 2025
2 Commits
Oct 1, 2025October 2025 monthly summary for porter-dev/porter-charts: Focused on stabilizing Metabase addon deployment by correcting environment variable handling and YAML parsing. This work reduced deployment failures and improved reliability for Metabase dashboards.
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 focused on improving Metabase deployment reliability, scalability, and configuration correctness in porter-dev/porter-charts. Key features delivered included configurable replicas and node placement options to optimize resource use and reduce downtime, while deployment environment variables and secrets handling were corrected to prevent misconfigurations and failures. These changes enhance stability, enable efficient resource utilization, and lower risk during production deployments.
4 Commits • 1 Features
Sep 1, 2025September 2025 focused on improving Metabase deployment reliability, scalability, and configuration correctness in porter-dev/porter-charts. Key features delivered included configurable replicas and node placement options to optimize resource use and reduce downtime, while deployment environment variables and secrets handling were corrected to prevent misconfigurations and failures. These changes enhance stability, enable efficient resource utilization, and lower risk during production deployments.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025For 2025-08, delivered a focused feature to control Karpenter disruption for job pods via the cronjob template, with default annotation simplification, improving stability and reducing configuration overhead. This work enhances batch job reliability and aligns with Karpenter defaults.
August 2025
2 Commits • 1 Features
Aug 1, 2025For 2025-08, delivered a focused feature to control Karpenter disruption for job pods via the cronjob template, with default annotation simplification, improving stability and reducing configuration overhead. This work enhances batch job reliability and aligns with Karpenter defaults.
May 2025
1 Commits
May 1, 2025Month: 2025-05 Overview: This monthly summary covers work in the porter-dev/porter-charts repository focused on Grafana add-on compatibility and dashboard visibility. The primary delivery this month was to address an oversight in add-on values to ensure the general-visualization dashboard is recognized and available within the Grafana add-on, improving observability for users.
1 Commits
May 1, 2025Month: 2025-05 Overview: This monthly summary covers work in the porter-dev/porter-charts repository focused on Grafana add-on compatibility and dashboard visibility. The primary delivery this month was to address an oversight in add-on values to ensure the general-visualization dashboard is recognized and available within the Grafana add-on, improving observability for users.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — Porter Charts (porter-dev/porter-charts) delivered a focused dashboard enhancement and ensured dashboard metadata accuracy, driving clearer insights and improved governance of metrics across Porter dashboards. Key changes implemented in this period include the Porter Dashboard Enhancement, which integrates existing dashboard queries and adds new ones to provide a more comprehensive metrics view. This work reinforces data-driven decision-making for product and business stakeholders by expanding visibility into core KPIs and performance indicators. A companion effort for metadata accuracy corrected the Dashboard Description to reflect the intended fix, ensuring the dashboard’s metadata remains aligned with its capabilities.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 — Porter Charts (porter-dev/porter-charts) delivered a focused dashboard enhancement and ensured dashboard metadata accuracy, driving clearer insights and improved governance of metrics across Porter dashboards. Key changes implemented in this period include the Porter Dashboard Enhancement, which integrates existing dashboard queries and adds new ones to provide a more comprehensive metrics view. This work reinforces data-driven decision-making for product and business stakeholders by expanding visibility into core KPIs and performance indicators. A companion effort for metadata accuracy corrected the Dashboard Description to reflect the intended fix, ensuring the dashboard’s metadata remains aligned with its capabilities.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for porter-charts: Delivered two feature enhancements that broaden deployment flexibility and observability. Grafana add-on: introduced a new template and updated ingress logic to support multiple wildcard ingress configurations, enabling multiple host-specific rules for more flexible Grafana routing. Datadog add-on: extended DaemonSet tolerations to allow deployment on non-default node groups (porter.run/node-group-id) and GPU-enabled nodes (nvidia.com/gpu), expanding monitoring coverage across diverse workloads and hardware. These changes reduce onboarding friction, improve reliability of Grafana access across environments, and extend observability to GPU nodes and non-default worker pools. Overall impact: increased deployment flexibility, broader visibility, and lower operational risk when scaling or evolving cluster topologies. Technologies/skills demonstrated: Kubernetes scheduling (tolerations), DaemonSet management, Helm templating, and multi-host ingress templating.
3 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for porter-charts: Delivered two feature enhancements that broaden deployment flexibility and observability. Grafana add-on: introduced a new template and updated ingress logic to support multiple wildcard ingress configurations, enabling multiple host-specific rules for more flexible Grafana routing. Datadog add-on: extended DaemonSet tolerations to allow deployment on non-default node groups (porter.run/node-group-id) and GPU-enabled nodes (nvidia.com/gpu), expanding monitoring coverage across diverse workloads and hardware. These changes reduce onboarding friction, improve reliability of Grafana access across environments, and extend observability to GPU nodes and non-default worker pools. Overall impact: increased deployment flexibility, broader visibility, and lower operational risk when scaling or evolving cluster topologies. Technologies/skills demonstrated: Kubernetes scheduling (tolerations), DaemonSet management, Helm templating, and multi-host ingress templating.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.8%
Architecture87.8%
Performance84.4%
AI Usage21.2%
Skills & Technologies
Programming Languages
CSSGoHTMLJSONJavaScriptYAMLyaml
Technical Skills
Backend DevelopmentConfiguration ManagementDashboard DevelopmentData VisualizationDevOpsFrontend DevelopmentGrafanaHelmInfrastructureKubernetesKubernetes monitoringMonitoringPrometheusYAML configurationdashboard development
Repositories Contributed To
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