project-koku/koku
Oct 2024 – Oct 2025
13 Months active
Languages Used
PythonSQLShellYAMLCSSHTMLMarkdown
Technical Skills
API DevelopmentBackend DevelopmentDRFDatabase InteractionDjangoCelery
Cody Myers
PROFILE
Cody Myers
Cody Myers developed and enhanced cost reporting and data processing features for the project-koku/koku repository, focusing on OpenShift and multi-cloud environments. He engineered robust backend solutions using Python and SQL, implementing granular cost modeling, tag-based billing, and cross-provider data extraction pipelines. Cody refactored database accessors and optimized SQL queries to improve reporting accuracy and system maintainability, while integrating cloud technologies such as AWS, Azure, and GCP. His work addressed data integrity, cost attribution, and performance, including dependency management and technical debt reduction. The depth of his contributions enabled reliable, scalable cost analytics and streamlined cloud cost management for enterprise users.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
84Total
Bugs
17
Commits
84
Features
32
Lines of code
19,941
Activity Months13
Work History
October 2025
4 Commits • 2 Features
Oct 1, 2025Monthly work summary for 2025-10 focusing on features, bugs, impact and skills in project-koku/koku. Delivered changes enhance cross-provider cost visibility, improve reporting reliability, and reduce maintenance risk, with clear business value tied to cost attribution and budgeting for multi-cloud OpenShift deployments.
4 Commits • 2 Features
Oct 1, 2025Monthly work summary for 2025-10 focusing on features, bugs, impact and skills in project-koku/koku. Delivered changes enhance cross-provider cost visibility, improve reporting reliability, and reduce maintenance risk, with clear business value tied to cost attribution and budgeting for multi-cloud OpenShift deployments.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025: Completed key OpenShift cost reporting enhancements, including memory-based cost calculations for non-CPU distributions and improved visibility with GCP disk capacity tracking and resource matching for OpenShift clusters, enabling more accurate cost allocation. Fully removed unattributed storage feature flags in AWS and Azure, simplifying configuration and rollout. Performed essential maintenance by updating koku-nise to 5.1.15 to maintain security and stability. These efforts collectively improve cost accuracy, operational simplicity, and platform reliability, delivering clear business value through better budgeting, forecasting, and governance.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025: Completed key OpenShift cost reporting enhancements, including memory-based cost calculations for non-CPU distributions and improved visibility with GCP disk capacity tracking and resource matching for OpenShift clusters, enabling more accurate cost allocation. Fully removed unattributed storage feature flags in AWS and Azure, simplifying configuration and rollout. Performed essential maintenance by updating koku-nise to 5.1.15 to maintain security and stability. These efforts collectively improve cost accuracy, operational simplicity, and platform reliability, delivering clear business value through better budgeting, forecasting, and governance.
August 2025
7 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for project-koku/koku focusing on performance-optimized OpenShift and cloud cost reporting, with enhancements across OpenShift and GCP data pipelines to improve accuracy, reliability, and data governance.
7 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for project-koku/koku focusing on performance-optimized OpenShift and cloud cost reporting, with enhancements across OpenShift and GCP data pipelines to improve accuracy, reliability, and data governance.
August 2025
July 2025
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for project-koku/koku focusing on delivering business value through cost reporting enhancements, OpenShift cost modeling, and repository hygiene. The work improved cost visibility for OCP across cloud providers, stabilized data inserts, and reduced technical debt while laying groundwork for future performance and scalability.
July 2025
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for project-koku/koku focusing on delivering business value through cost reporting enhancements, OpenShift cost modeling, and repository hygiene. The work improved cost visibility for OCP across cloud providers, stabilized data inserts, and reduced technical debt while laying groundwork for future performance and scalability.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for project-koku/koku: Delivered end-to-end VM cost modeling and data enrichment, plus a key accuracy fix that improved usage reporting. Key features: VM Core Cost Modeling (Hourly/Monthly) and Tag-based Costs, implemented via SQL scripts and Python logic, with data cleanup and refactored parameter handling; VM Virtualization Data Population and UI Summary, introducing new SQL-driven ETL for temporary and final reporting tables and updated accessors for virtualization costs and UI summaries. Major bug fix: OCP Usage Summary Accuracy by excluding records with an empty node field, ensuring pods are correctly associated with a node and improving daily usage reporting. Impact: enables accurate, flexible OpenShift cost reporting with support for core-based and tag-based models, improves data reliability and UI fidelity, and showcases strong data modeling, ETL, and query optimization capabilities. Technologies/skills demonstrated: SQL scripting for ETL and reporting tables, Python-based cost calculations, data migration/refactoring, and UI data access layer updates.
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for project-koku/koku: Delivered end-to-end VM cost modeling and data enrichment, plus a key accuracy fix that improved usage reporting. Key features: VM Core Cost Modeling (Hourly/Monthly) and Tag-based Costs, implemented via SQL scripts and Python logic, with data cleanup and refactored parameter handling; VM Virtualization Data Population and UI Summary, introducing new SQL-driven ETL for temporary and final reporting tables and updated accessors for virtualization costs and UI summaries. Major bug fix: OCP Usage Summary Accuracy by excluding records with an empty node field, ensuring pods are correctly associated with a node and improving daily usage reporting. Impact: enables accurate, flexible OpenShift cost reporting with support for core-based and tag-based models, improves data reliability and UI fidelity, and showcases strong data modeling, ETL, and query optimization capabilities. Technologies/skills demonstrated: SQL scripting for ETL and reporting tables, Python-based cost calculations, data migration/refactoring, and UI data access layer updates.
June 2025
May 2025
9 Commits • 4 Features
May 1, 2025May 2025 performance summary for project-koku/koku: Key features delivered: - Granular per-usage-account data extraction for providers: Added per-provider usage_account filtering to AWS and Azure data extraction pipelines to enable precise cost and usage reporting. This supports multi-account setups and improves data accuracy for billing and analytics. (Commits: d269287e873f676b10601f41eaee48305e714799) - Track last subscription event sent for audit and monitoring: Introduced latest_event_sent in SubsLastProcessed with a new column and timestamp; migration completed to surface the dispatch timestamp for subscription-related events, improving traceability and compliance. (Commits: 931414df7ceab9ac83098390a49336389fe4e2eb; 25ccdb16872945a86ef608ccfab91f45d072e94d) - Tag mapping enhancements for multi-provider environments: Improved tag handling to support parent/child mappings and added resilience when a parent mapping no longer exists, ensuring correct grouping across providers. (Commits: d937706205d49184546475e95e15e86c86f31779; ff7942d7f70ae4bcf301f3932b3012efc3042152) - Codebase cleanup and dead code removal: Removed deprecated subs extractor code and unused GCP cost-reporting paths to reduce maintenance risk and surface area. (Commits: 3f4511477e43f003529fa2f214e834e509605e9b; 62c50869f39134e61c1244049bd2ab61387316cb) Major bugs fixed: - VM reporting data correctness: Corrected vm_guest_os_version_id to vm_guest_os_version in usage and aggregation mappings to fix VM OS reporting. (Commit: 340893c1e4cfca3f0144cd3857596aa75c7d33bb) - Handle invalid operator versions in provider manager: Added validation and test coverage to ensure vm_cpu_core_cost_model_support remains false on invalid operator versions and avoid crashes. (Commit: 0bf6af739e0c6cb389032186ede3b55b27a747b2) Overall impact and accomplishments: - Increased data accuracy and auditability across cloud providers; improved governance with explicit event-tracking; reduced maintenance burden via code cleanup; enhanced robustness against misconfigurations in provider operator versions; enabled more reliable cross-provider cost and usage analytics for better decision-making and billing accuracy. Technologies/skills demonstrated: - SQL/database migrations and schema evolution (latest_event_sent column; related migrations) - Data extraction and filtering logic for per-usage accounts in multi-cloud contexts - Robust error handling and test coverage for provider manager components - Tagging logic and multi-provider data modeling - Code cleanup and refactoring to remove dead code paths and simplify maintenance
May 2025
9 Commits • 4 Features
May 1, 2025May 2025 performance summary for project-koku/koku: Key features delivered: - Granular per-usage-account data extraction for providers: Added per-provider usage_account filtering to AWS and Azure data extraction pipelines to enable precise cost and usage reporting. This supports multi-account setups and improves data accuracy for billing and analytics. (Commits: d269287e873f676b10601f41eaee48305e714799) - Track last subscription event sent for audit and monitoring: Introduced latest_event_sent in SubsLastProcessed with a new column and timestamp; migration completed to surface the dispatch timestamp for subscription-related events, improving traceability and compliance. (Commits: 931414df7ceab9ac83098390a49336389fe4e2eb; 25ccdb16872945a86ef608ccfab91f45d072e94d) - Tag mapping enhancements for multi-provider environments: Improved tag handling to support parent/child mappings and added resilience when a parent mapping no longer exists, ensuring correct grouping across providers. (Commits: d937706205d49184546475e95e15e86c86f31779; ff7942d7f70ae4bcf301f3932b3012efc3042152) - Codebase cleanup and dead code removal: Removed deprecated subs extractor code and unused GCP cost-reporting paths to reduce maintenance risk and surface area. (Commits: 3f4511477e43f003529fa2f214e834e509605e9b; 62c50869f39134e61c1244049bd2ab61387316cb) Major bugs fixed: - VM reporting data correctness: Corrected vm_guest_os_version_id to vm_guest_os_version in usage and aggregation mappings to fix VM OS reporting. (Commit: 340893c1e4cfca3f0144cd3857596aa75c7d33bb) - Handle invalid operator versions in provider manager: Added validation and test coverage to ensure vm_cpu_core_cost_model_support remains false on invalid operator versions and avoid crashes. (Commit: 0bf6af739e0c6cb389032186ede3b55b27a747b2) Overall impact and accomplishments: - Increased data accuracy and auditability across cloud providers; improved governance with explicit event-tracking; reduced maintenance burden via code cleanup; enhanced robustness against misconfigurations in provider operator versions; enabled more reliable cross-provider cost and usage analytics for better decision-making and billing accuracy. Technologies/skills demonstrated: - SQL/database migrations and schema evolution (latest_event_sent column; related migrations) - Data extraction and filtering logic for per-usage accounts in multi-cloud contexts - Robust error handling and test coverage for provider manager components - Tagging logic and multi-provider data modeling - Code cleanup and refactoring to remove dead code paths and simplify maintenance
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025: Strengthened data accuracy and cost transparency for project-koku/koku. Key changes include null-safe VM tag resource calculations improving VM tag sums, removal of an unnecessary SQL DELETE in the OCP report DB accessor to reduce redundant work, and a new tag-based VM cost pricing model for hourly and monthly billing with updated queries and node-label handling. These changes improve reliability of cost reporting, enable tag-based billing, and reduce maintenance overhead.
5 Commits • 1 Features
Apr 1, 2025April 2025: Strengthened data accuracy and cost transparency for project-koku/koku. Key changes include null-safe VM tag resource calculations improving VM tag sums, removal of an unnecessary SQL DELETE in the OCP report DB accessor to reduce redundant work, and a new tag-based VM cost pricing model for hourly and monthly billing with updated queries and node-label handling. These changes improve reliability of cost reporting, enable tag-based billing, and reduce maintenance overhead.
April 2025
March 2025
6 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for project-koku/koku: Delivered key cost-visibility capabilities and reliability improvements across Azure, virtualization, and OCP storage domains. Highlights include new scraping and reporting capabilities for cost data, enhanced sorting and labeling for accurate cost analysis, and stability improvements through dependency updates. Business value centers on actionable cost insights, accurate mappings, and maintainable codebase.
March 2025
6 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for project-koku/koku: Delivered key cost-visibility capabilities and reliability improvements across Azure, virtualization, and OCP storage domains. Highlights include new scraping and reporting capabilities for cost data, enhanced sorting and labeling for accurate cost analysis, and stability improvements through dependency updates. Business value centers on actionable cost insights, accurate mappings, and maintainable codebase.
February 2025
12 Commits • 3 Features
Feb 1, 2025February 2025 focused on delivering cross-cloud OCP cost reporting enhancements, strengthening data integrity, and stabilizing the reporting pipelines across Azure, GCP, and AWS. Completed feature work, fixed critical data ingestion and environment setup issues, and updated dependencies to ensure long-term stability. These efforts improved multi-cloud cost visibility, reduced risk of data duplication, and increased system resilience while maintaining tight alignment with managed flow.
12 Commits • 3 Features
Feb 1, 2025February 2025 focused on delivering cross-cloud OCP cost reporting enhancements, strengthening data integrity, and stabilizing the reporting pipelines across Azure, GCP, and AWS. Completed feature work, fixed critical data ingestion and environment setup issues, and updated dependencies to ensure long-term stability. These efforts improved multi-cloud cost visibility, reduced risk of data duplication, and increased system resilience while maintaining tight alignment with managed flow.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for project-koku/koku focused on reliability, scalability, and accurate cost attribution. The team delivered an integration enabling MinIO as an S3-compatible storage endpoint, enhanced the GCP OCP managed flow to support multi-resource ingestion with supporting changes, and fixed a critical storage cost attribution bug to ensure fair cost allocation across clouds.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for project-koku/koku focused on reliability, scalability, and accurate cost attribution. The team delivered an integration enabling MinIO as an S3-compatible storage endpoint, enhanced the GCP OCP managed flow to support multi-resource ingestion with supporting changes, and fixed a critical storage cost attribution bug to ensure fair cost allocation across clouds.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 summary for project-koku/koku: Delivered two major features and performed significant code cleanup to reduce flag management and dead code. Removed the unused OpenShift amortized monthly cost flag and the Unleash flag for GCP resource matching, simplifying provider configuration and lowering maintenance burden. Added a SQL-based verification script to detect discrepancies in managed resources for OpenShift on GCP, providing granular insights when initial verification fails to improve data integrity of GCP cost reporting. These changes improve data accuracy, reduce operational overhead, and strengthen cost visibility for OpenShift on GCP.
3 Commits • 2 Features
Dec 1, 2024December 2024 summary for project-koku/koku: Delivered two major features and performed significant code cleanup to reduce flag management and dead code. Removed the unused OpenShift amortized monthly cost flag and the Unleash flag for GCP resource matching, simplifying provider configuration and lowering maintenance burden. Added a SQL-based verification script to detect discrepancies in managed resources for OpenShift on GCP, providing granular insights when initial verification fails to improve data integrity of GCP cost reporting. These changes improve data accuracy, reduce operational overhead, and strengthen cost visibility for OpenShift on GCP.
December 2024
November 2024
13 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for the project-koku/koku, focusing on delivering core cost reporting capabilities for OpenShift-related workloads, stabilizing data processing, and reducing maintenance overhead. The month emphasized business value through expanded coverage, reliability improvements, and simplification of gating controls across providers.
November 2024
13 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for the project-koku/koku, focusing on delivering core cost reporting capabilities for OpenShift-related workloads, stabilizing data processing, and reducing maintenance overhead. The month emphasized business value through expanded coverage, reliability improvements, and simplification of gating controls across providers.
October 2024
1 Commits • 1 Features
Oct 1, 2024Delivered the OpenShift Infrastructure Map Regeneration API for the project-koku/koku repo. Implemented a new API endpoint that rechecks/regenerates the infrastructure map for a specified OpenShift provider UUID within a given date range, enabling accurate correlation of cloud provider data with OpenShift sources. Added a new view and URL route, and extended OCPCloudUpdaterBase to support the new workflow. This work was supported by Masu tooling updates to drive the recheck operation (commit c7009c7d1557e57363502fcd5ab5be5369076875).
1 Commits • 1 Features
Oct 1, 2024Delivered the OpenShift Infrastructure Map Regeneration API for the project-koku/koku repo. Implemented a new API endpoint that rechecks/regenerates the infrastructure map for a specified OpenShift provider UUID within a given date range, enabling accurate correlation of cloud provider data with OpenShift sources. Added a new view and URL route, and extended OCPCloudUpdaterBase to support the new workflow. This work was supported by Masu tooling updates to drive the recheck operation (commit c7009c7d1557e57363502fcd5ab5be5369076875).
October 2024
Activity
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Quality Metrics
Correctness87.8%
Maintainability87.6%
Architecture85.4%
Performance80.4%
AI Usage21.0%
Skills & Technologies
Programming Languages
CSSHTMLMarkdownPythonSQLShellYAML
Technical Skills
API DevelopmentAWSAzureAzure SDKBackend DevelopmentCeleryCloudCloud ComputingCloud Cost ManagementCloud Cost OptimizationCode RefactoringConfiguration ManagementCost AnalysisCost ManagementCost Modeling
Repositories Contributed To
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