instructure/canvas-lms
Apr 2025 – Sep 2025
5 Months active
Languages Used
RubyGraphQLHTMLJavaScriptDockerfileERBSQLTypeScript
Technical Skills
Data FixesDatabase MigrationPerformance OptimizationAPI DevelopmentBackend DevelopmentConcurrency
Keith T. Garner
PROFILE
Keith T. Garner
Over five months, K Garner enhanced the instructure/canvas-lms repository by delivering features and fixes focused on security, performance, and maintainability. Garner implemented JWT-based public URL access with expiration, refactored GraphQL data lookups for concurrency, and introduced feature-flagged access controls for file thumbnails. Using Ruby, Ruby on Rails, and Docker, Garner modernized deployment workflows, optimized database migrations, and improved API documentation to reflect current usage. The work included targeted code refactoring, technical debt cleanup, and migration from Crocodoc to Canvadocs, demonstrating depth in backend development and a thoughtful approach to system stability, access control, and operational efficiency.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
15Total
Bugs
4
Commits
15
Features
10
Lines of code
2,641
Activity Months5
Your Network
352 peopleSame Organization
@instructure.com184
Ahmed NaguibMember
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
Nagy AdamMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HermannMember
Shared Repositories
168
Ádám MátéMember
Adam_MikulasMember
Adam MolnarMember
Adam SzaboMember
Adrian GruberMember
akemenyMember
Akos HorvathMember
Alexandre DosSantosMember
alvaro.talaveraMember
Work History
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms. Highlights include modernization of the deployment environment, performance optimizations, and API/tooling cleanups. Key outcomes: streamlined Docker deployment aligned with Jammy base image (tzdata included), removal of puma port mapping in override YAML, and task generation adjustments; reduced render calls by batching module rendering; removal of Crocodoc integration in favor of Canvadocs for document preview and annotation; and cleanup of API documentation to reflect current usage and deprecations. Business impact: faster, more reliable deployments; improved rendering performance; simplified document preview workflows; clearer API usage and deprecation handling.
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for instructure/canvas-lms. Highlights include modernization of the deployment environment, performance optimizations, and API/tooling cleanups. Key outcomes: streamlined Docker deployment aligned with Jammy base image (tzdata included), removal of puma port mapping in override YAML, and task generation adjustments; reduced render calls by batching module rendering; removal of Crocodoc integration in favor of Canvadocs for document preview and annotation; and cleanup of API documentation to reflect current usage and deprecations. Business impact: faster, more reliable deployments; improved rendering performance; simplified document preview workflows; clearer API usage and deprecation handling.
September 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: Delivered reliability and capability improvements for instructure/canvas-lms. Key outcomes include a bug fix for S3 presigned URL parameter handling, a stability improvement by upgrading to a forked StackProf, and a new Avatar Location Tagging feature with location-based URL generation and access control. These efforts enhance reliability, observability, and user context-awareness, delivering business value through fewer errors, improved profiling stability, and richer, safer user experiences.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: Delivered reliability and capability improvements for instructure/canvas-lms. Key outcomes include a bug fix for S3 presigned URL parameter handling, a stability improvement by upgrading to a forked StackProf, and a new Avatar Location Tagging feature with location-based URL generation and access control. These efforts enhance reliability, observability, and user context-awareness, delivering business value through fewer errors, improved profiling stability, and richer, safer user experiences.
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms focusing on security enhancements, access controls, and code quality improvements that delivered measurable business value: time-limited public URL access, safer thumbnail rendering, and cleanup of legacy routes and before_action logic to reduce runtime errors and maintenance overhead.
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for instructure/canvas-lms focusing on security enhancements, access controls, and code quality improvements that delivered measurable business value: time-limited public URL access, safer thumbnail rendering, and cleanup of legacy routes and before_action logic to reduce runtime errors and maintenance overhead.
June 2025
May 2025
3 Commits • 3 Features
May 1, 2025May 2025 monthly summary for instructure/canvas-lms: Delivered security and performance improvements in GraphQL-backed workflows, with policy enforcement and streamlined file access. Key outcomes include: 1) feature-flag controlled Secure File URL Verifier removal from GraphQL file URLs to improve security and access efficiency (guarded by disable_adding_uuid_verifier_in_api); 2) concurrent GraphQL data lookups for Discussion Entries by refactoring to a chain of promises, reducing bottlenecks and enabling better parallel processing; 3) re-enabled GraphQL restrictions in production by removing temporary disablement, simplifying schema configuration and enforcing policies. These changes reduce risk, lower latency for file access and data lookups, and strengthen governance across the platform.
May 2025
3 Commits • 3 Features
May 1, 2025May 2025 monthly summary for instructure/canvas-lms: Delivered security and performance improvements in GraphQL-backed workflows, with policy enforcement and streamlined file access. Key outcomes include: 1) feature-flag controlled Secure File URL Verifier removal from GraphQL file URLs to improve security and access efficiency (guarded by disable_adding_uuid_verifier_in_api); 2) concurrent GraphQL data lookups for Discussion Entries by refactoring to a chain of promises, reducing bottlenecks and enabling better parallel processing; 3) re-enabled GraphQL restrictions in production by removing temporary disablement, simplifying schema configuration and enforcing policies. These changes reduce risk, lower latency for file access and data lookups, and strengthen governance across the platform.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for instructure/canvas-lms: Focused on datafix efficiency and stability for attachment root account ID updates. A targeted refactor reduced database write load and introduced a sleep interval between batches to avoid aggressive writes that previously caused database backups and WAL issues, improving overall system stability during migrations.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for instructure/canvas-lms: Focused on datafix efficiency and stability for attachment root account ID updates. A targeted refactor reduced database write load and introduced a sleep interval between batches to avoid aggressive writes that previously caused database backups and WAL issues, improving overall system stability during migrations.
April 2025
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Quality Metrics
Correctness94.6%
Maintainability92.0%
Architecture92.0%
Performance90.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileERBGraphQLHTMLJavaScriptRubySQLTypeScriptYAML
Technical Skills
API DevelopmentAPI DocumentationAPI IntegrationAuthenticationAuthentication and AuthorizationAuthorizationBackend DevelopmentCloud Storage IntegrationCode RefactoringConcurrencyData FixesDatabase ManagementDatabase MigrationDevOpsDocker
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline