project-koku/koku
Nov 2024 – Oct 2025
12 Months active
Languages Used
PythonSQLShellyamlYAMLpythonshellsql
Technical Skills
API DevelopmentBackend DevelopmentBuild AutomationCI/CDCode FormattingData Engineering
Michael Skarbek
PROFILE
Michael Skarbek
Over twelve months, Michael Skarbek engineered robust cost management and data processing features for the project-koku/koku repository, focusing on reliability, scalability, and maintainability. He modernized cloud data pipelines by migrating to AWS Glue Data Catalog, enhanced cost attribution with granular metrics, and improved reporting accuracy through refined SQL and API development. Leveraging Python, SQL, and Kubernetes, Michael consolidated dependency management, automated worker autoscaling, and strengthened security by centralizing credentials. His work included optimizing CI/CD workflows, introducing cache invalidation endpoints, and streamlining legacy code, resulting in a resilient backend that supports precise, multi-cloud cost analytics and efficient, secure deployments.
Overall Statistics
Feature vs Bugs
74%Features
Repository Contributions
119Total
Bugs
19
Commits
119
Features
53
Lines of code
36,791
Activity Months12
Your Network
2567 people
Work History
October 2025
12 Commits • 5 Features
Oct 1, 2025Oct 2025: Delivered multiple features to improve data accuracy, reliability, and user experience in Koku. Implemented Node Architecture Tagging in OCPNode with a DB migration and YAML labels to improve cost attribution. Reworked Azure data access by migrating to BlobServiceClient and adding robust authorization error handling to increase cost data reliability. Fixed critical forecasting RBAC filtering and ensured OCP summaries trigger with valid metadata, improving data visibility and trust. Standardized GCP report filtering and set ForecastListPaginator default to 100 for a consistent UX. Added Kubernetes deployment annotations to suppress kube-linter warnings and enable cost-saving deployment configurations. Completed maintenance tasks—test fixes, dependency bumps, and CI cleanup—to boost stability and release velocity.
12 Commits • 5 Features
Oct 1, 2025Oct 2025: Delivered multiple features to improve data accuracy, reliability, and user experience in Koku. Implemented Node Architecture Tagging in OCPNode with a DB migration and YAML labels to improve cost attribution. Reworked Azure data access by migrating to BlobServiceClient and adding robust authorization error handling to increase cost data reliability. Fixed critical forecasting RBAC filtering and ensured OCP summaries trigger with valid metadata, improving data visibility and trust. Standardized GCP report filtering and set ForecastListPaginator default to 100 for a consistent UX. Added Kubernetes deployment annotations to suppress kube-linter warnings and enable cost-saving deployment configurations. Completed maintenance tasks—test fixes, dependency bumps, and CI cleanup—to boost stability and release velocity.
October 2025
September 2025
8 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for project-koku/koku focusing on business value, scalability, security, and reliability. Implemented automated scaling for download and summary workers to optimize resource usage and reduce latency under load. Centralized AWS credential management via Kubernetes secrets to improve security posture. Simplified feature flag management by delegating to Unleash at worker startup. Delivered data reliability and accuracy improvements to prevent processing failures and improve reporting quality.
September 2025
8 Commits • 4 Features
Sep 1, 2025September 2025 monthly summary for project-koku/koku focusing on business value, scalability, security, and reliability. Implemented automated scaling for download and summary workers to optimize resource usage and reduce latency under load. Centralized AWS credential management via Kubernetes secrets to improve security posture. Simplified feature flag management by delegating to Unleash at worker startup. Delivered data reliability and accuracy improvements to prevent processing failures and improve reporting quality.
August 2025
16 Commits • 5 Features
Aug 1, 2025August 2025: Delivered targeted data precision improvements, de-risked pipelines by removing legacy flows, strengthened operational reliability, and improved developer experience—driving both business value and maintainability for project-koku/koku.
16 Commits • 5 Features
Aug 1, 2025August 2025: Delivered targeted data precision improvements, de-risked pipelines by removing legacy flows, strengthened operational reliability, and improved developer experience—driving both business value and maintainability for project-koku/koku.
August 2025
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for project-koku/koku: Implemented core reporting reliability and performance enhancements, expanded tagging capabilities, and streamlined CI/CD, delivering more accurate multi-provider cost reporting and faster deployment cycles.
July 2025
8 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for project-koku/koku: Implemented core reporting reliability and performance enhancements, expanded tagging capabilities, and streamlined CI/CD, delivering more accurate multi-provider cost reporting and faster deployment cycles.
June 2025
8 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for project-koku/koku: Delivered notable features across cost management, data integrity, autoscaling, and stability. Focused on consolidating dependencies, expanding cost metrics, improving data schema for temporary tables, and enhancing scaling capabilities. Reduced alert noise while preserving behavior.
8 Commits • 4 Features
Jun 1, 2025June 2025 monthly summary for project-koku/koku: Delivered notable features across cost management, data integrity, autoscaling, and stability. Focused on consolidating dependencies, expanding cost metrics, improving data schema for temporary tables, and enhancing scaling capabilities. Reduced alert noise while preserving behavior.
June 2025
May 2025
9 Commits • 3 Features
May 1, 2025Concise monthly performance summary for project-koku/koku (May 2025) focusing on business value and technical achievements. Overview: Delivered security hardening, pipeline modernization, reliability fixes, and stability improvements across the data processing and deployment stack. Resulted in improved security posture, more robust data processing, and increased system reliability for both internal teams and external consumers.
May 2025
9 Commits • 3 Features
May 1, 2025Concise monthly performance summary for project-koku/koku (May 2025) focusing on business value and technical achievements. Overview: Delivered security hardening, pipeline modernization, reliability fixes, and stability improvements across the data processing and deployment stack. Resulted in improved security posture, more robust data processing, and increased system reliability for both internal teams and external consumers.
April 2025
6 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for project-koku/koku focusing on delivering cost model distribution improvements, ROSA cost analysis environment setup, and tooling/CI enhancements. Achievements include improved cost accuracy and data quality, new ROSA YAMLs for demonstrations, and clearer ImportError handling in CI, with OpenShift doc cleanup for maintainability.
6 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for project-koku/koku focusing on delivering cost model distribution improvements, ROSA cost analysis environment setup, and tooling/CI enhancements. Achievements include improved cost accuracy and data quality, new ROSA YAMLs for demonstrations, and clearer ImportError handling in CI, with OpenShift doc cleanup for maintainability.
April 2025
March 2025
6 Commits • 4 Features
Mar 1, 20252025-03 Monthly summary for project-koku/koku focused on platform upgrades, reliability improvements, and developer productivity. Delivered a PostgreSQL 16 upgrade across config and Docker, optimized CI/CD workflows for reliability and security, refreshed dependencies and CloudWatch integration, and added programmatic cache invalidation capabilities via a new API endpoint. These changes reduce maintenance overhead, improve performance, and strengthen observability.
March 2025
6 Commits • 4 Features
Mar 1, 20252025-03 Monthly summary for project-koku/koku focused on platform upgrades, reliability improvements, and developer productivity. Delivered a PostgreSQL 16 upgrade across config and Docker, optimized CI/CD workflows for reliability and security, refreshed dependencies and CloudWatch integration, and added programmatic cache invalidation capabilities via a new API endpoint. These changes reduce maintenance overhead, improve performance, and strengthen observability.
February 2025
13 Commits • 5 Features
Feb 1, 2025February 2025 performance summary for project-koku/koku focused on platform modernization, cost visibility, and CI/CD resiliency. Key deliverables include migrating the Hive Metastore to AWS Glue Data Catalog, simplifying deployment credentials, and enabling Glue usage in daily tests with progress logging. Additional improvements encompassed secrets/credential handling, OpenShift cost reporting, Kafka status checks modernization, and CI/CD infrastructure upgrades. These efforts reduce operational complexity, improve data governance, accelerate test cycles, and enhance cost accuracy across OpenShift and cloud components.
13 Commits • 5 Features
Feb 1, 2025February 2025 performance summary for project-koku/koku focused on platform modernization, cost visibility, and CI/CD resiliency. Key deliverables include migrating the Hive Metastore to AWS Glue Data Catalog, simplifying deployment credentials, and enabling Glue usage in daily tests with progress logging. Additional improvements encompassed secrets/credential handling, OpenShift cost reporting, Kafka status checks modernization, and CI/CD infrastructure upgrades. These efforts reduce operational complexity, improve data governance, accelerate test cycles, and enhance cost accuracy across OpenShift and cloud components.
February 2025
January 2025
23 Commits • 10 Features
Jan 1, 2025January 2025 (2025-01) monthly performance summary for project-koku/koku. Focused on security hygiene, deployment reliability, and data/catalog readiness. Key features delivered include consolidated dependency management with grouped upgrades/removals and Dependabot configuration, preparation for AWS Glue Data Catalog migration, and Celery task ID chaining to improve observability of asynchronous workflows. Security and configuration hygiene were strengthened through removal of ephemeral secrets in clowdapp, cleanup of unused environment variables, and fixes to ephemeral bucket naming. Deployment safety was enhanced with Quay API tag availability checks and PR/test readiness improvements to support safer releases. These efforts reduce operational risk, shorten CI/CD feedback loops, and establish a solid foundation for future data catalog migrations and automation. Technologies/skills demonstrated: Python, Celery, AWS Glue Data Catalog, Dependabot, Quay API, Docker Compose, SQL fixes, security hygiene, CI/CD scripting.
January 2025
23 Commits • 10 Features
Jan 1, 2025January 2025 (2025-01) monthly performance summary for project-koku/koku. Focused on security hygiene, deployment reliability, and data/catalog readiness. Key features delivered include consolidated dependency management with grouped upgrades/removals and Dependabot configuration, preparation for AWS Glue Data Catalog migration, and Celery task ID chaining to improve observability of asynchronous workflows. Security and configuration hygiene were strengthened through removal of ephemeral secrets in clowdapp, cleanup of unused environment variables, and fixes to ephemeral bucket naming. Deployment safety was enhanced with Quay API tag availability checks and PR/test readiness improvements to support safer releases. These efforts reduce operational risk, shorten CI/CD feedback loops, and establish a solid foundation for future data catalog migrations and automation. Technologies/skills demonstrated: Python, Celery, AWS Glue Data Catalog, Dependabot, Quay API, Docker Compose, SQL fixes, security hygiene, CI/CD scripting.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for project-koku/koku focusing on security and compatibility through dependency updates in Pipfile.lock. The work enhances security posture and stability by keeping core dependencies up-to-date with security patches and compatibility across runtimes, while maintaining CI reliability for ongoing development.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for project-koku/koku focusing on security and compatibility through dependency updates in Pipfile.lock. The work enhances security posture and stability by keeping core dependencies up-to-date with security patches and compatibility across runtimes, while maintaining CI reliability for ongoing development.
December 2024
November 2024
8 Commits • 5 Features
Nov 1, 2024November 2024 (project-koku/koku) Highlights include currency expansion, build/tooling improvements, observability enhancements, dependency upkeep, and data extraction performance optimization. Delivered INR and BRL currency support with API and DB migrations, plus naming capitalization fixes for consistency across descriptions. Strengthened CI/CD and code quality with a switch to pipenv --deploy and a pre-commit JSON formatting hook. Added detailed SUBSDataExtractor logging to improve debugging of data extraction workflows. Updated core dependencies (pandas, azure-core, etc.) and operator versions to maintain fixes and compatibility. Refactored subs data extraction to use Trino subqueries for joining with PostgreSQL, removing an expensive Django ORM excluded-IDs fetch and boosting overall workflow efficiency. Focused on business value through expanded currency support, improved reliability, faster data pipelines, and maintainable tooling.
November 2024
8 Commits • 5 Features
Nov 1, 2024November 2024 (project-koku/koku) Highlights include currency expansion, build/tooling improvements, observability enhancements, dependency upkeep, and data extraction performance optimization. Delivered INR and BRL currency support with API and DB migrations, plus naming capitalization fixes for consistency across descriptions. Strengthened CI/CD and code quality with a switch to pipenv --deploy and a pre-commit JSON formatting hook. Added detailed SUBSDataExtractor logging to improve debugging of data extraction workflows. Updated core dependencies (pandas, azure-core, etc.) and operator versions to maintain fixes and compatibility. Refactored subs data extraction to use Trino subqueries for joining with PostgreSQL, removing an expensive Django ORM excluded-IDs fetch and boosting overall workflow efficiency. Focused on business value through expanded currency support, improved reliability, faster data pipelines, and maintainable tooling.
Activity
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Quality Metrics
Correctness88.8%
Maintainability88.4%
Architecture85.4%
Performance80.8%
AI Usage20.2%
Skills & Technologies
Programming Languages
BashDockerfileINIMakefileMarkdownPythonSQLShellYAMLbash
Technical Skills
API DevelopmentAPI IntegrationAWSAWS GlueAWS SDKAsynchronous Task ProcessingAutoscalingAzureAzure SDKBackend DevelopmentBug FixBuild AutomationCI/CDCSV ParsingCache Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline