aws-samples/aurora-dsql-samples
May 2025 – Feb 2026
6 Months active
Languages Used
RustYAMLJavaTypeScriptGradleJavaScriptMarkdownShell
Technical Skills
API IntegrationAWS SDKCI/CDRefactoringRustCode Cleanup
Daniel Frankcom
PROFILE
Daniel Frankcom
Frank Combs contributed to the aws-samples/aurora-dsql-samples repository by developing and maintaining backend sample code that demonstrates integration with AWS Aurora DSQL. Over six months, Frank delivered features such as token-based authentication in Node.js and Sequelize, integrated the Aurora DSQL JDBC Connector into Java and Spring Boot samples, and refactored Rust cluster management tooling to support the latest AWS SDK. His work emphasized CI/CD automation, dependency management, and repository hygiene, using technologies like TypeScript, Java, and Rust. These efforts improved security, onboarding, and reliability, while ensuring the sample suite remained current, maintainable, and aligned with evolving AWS best practices.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
32Total
Bugs
1
Commits
32
Features
14
Lines of code
37,649
Activity Months6
Your Network
1542 peopleShared Repositories
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Aleksandar MaksimovicMember
Aleksandar MaksimovicMember
Daniel FrankcomMember
Deepak KhamitkarMember
Dipen PatelMember
Mitchell ElholmMember
DataTechBridgeMember
Ian ForsterMember
gxjx-xMember
Work History
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for aws-samples/aurora-dsql-samples: Delivered significant CI/CD automation and maintenance improvements that enhance merge reliability, security, and developer velocity. Key work included unifying CI checks to support automerge for Dependabot PRs, removing outdated samples to reduce confusion, and updating dependency management cadence to daily to ensure samples stay current and safe.
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for aws-samples/aurora-dsql-samples: Delivered significant CI/CD automation and maintenance improvements that enhance merge reliability, security, and developer velocity. Key work included unifying CI checks to support automerge for Dependabot PRs, removing outdated samples to reduce confusion, and updating dependency management cadence to daily to ensure samples stay current and safe.
February 2026
January 2026
11 Commits • 3 Features
Jan 1, 2026Monthly work summary for 2026-01 focusing on delivering stability, reliability, and automation improvements for aws-samples/aurora-dsql-samples, with emphasis on business value, security, and developer experience.
January 2026
11 Commits • 3 Features
Jan 1, 2026Monthly work summary for 2026-01 focusing on delivering stability, reliability, and automation improvements for aws-samples/aurora-dsql-samples, with emphasis on business value, security, and developer experience.
December 2025
6 Commits • 4 Features
Dec 1, 2025December 2025 — Delivered security- and maintainability-focused improvements to the aws-samples/aurora-dsql-samples repo. Implemented token-based authentication integration for the Sequelize sample via the Aurora DSQL Node.js connector; completed configuration cleanup and documentation enhancements; and added testing improvements for psycopg examples. These changes reduce onboarding friction, improve reliability, and demonstrate strong cross-stack collaboration. Status: Token-based auth integration wired; awaiting upstream connector publication (PR #92) before merge; CI may fail until published.
6 Commits • 4 Features
Dec 1, 2025December 2025 — Delivered security- and maintainability-focused improvements to the aws-samples/aurora-dsql-samples repo. Implemented token-based authentication integration for the Sequelize sample via the Aurora DSQL Node.js connector; completed configuration cleanup and documentation enhancements; and added testing improvements for psycopg examples. These changes reduce onboarding friction, improve reliability, and demonstrate strong cross-stack collaboration. Status: Token-based auth integration wired; awaiting upstream connector publication (PR #92) before merge; CI may fail until published.
December 2025
October 2025
9 Commits • 3 Features
Oct 1, 2025October 2025 performance highlights for aws-samples/aurora-dsql-samples. Key outcomes include delivering integrated Aurora DSQL JDBC Connector across Java samples, hardening CI/CD workflows for security and reliability, and removing outdated samples to focus on tested, supported implementations. These changes enable customers to adopt DSQL with IAM-based authentication more easily, improve build consistency, and reduce maintenance overhead.
October 2025
9 Commits • 3 Features
Oct 1, 2025October 2025 performance highlights for aws-samples/aurora-dsql-samples. Key outcomes include delivering integrated Aurora DSQL JDBC Connector across Java samples, hardening CI/CD workflows for security and reliability, and removing outdated samples to focus on tested, supported implementations. These changes enable customers to adopt DSQL with IAM-based authentication more easily, improve build consistency, and reduce maintenance overhead.
September 2025
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 summary for aws-samples/aurora-dsql-samples focusing on maintainability and stability improvements in the sample suite. Executed routine dependency maintenance and repository hygiene to reduce risk and set the stage for upcoming features.
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 summary for aws-samples/aurora-dsql-samples focusing on maintainability and stability improvements in the sample suite. Executed routine dependency maintenance and repository hygiene to reduce risk and set the stage for upcoming features.
September 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on API migration and maintenance of cluster management tooling for AWS Aurora DSQL samples. The primary work involved updating Rust-based cluster management examples to align with the new AWS SDK for the DSQL API, ensuring forward compatibility and smoother migration for downstream users.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on API migration and maintenance of cluster management tooling for AWS Aurora DSQL samples. The primary work involved updating Rust-based cluster management examples to align with the new AWS SDK for the DSQL API, ensuring forward compatibility and smoother migration for downstream users.
Activity
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Quality Metrics
Correctness96.8%
Maintainability94.8%
Architecture96.6%
Performance93.8%
AI Usage22.4%
Skills & Technologies
Programming Languages
C#C++GoGradleJSONJavaJavaScriptMarkdownPythonRuby
Technical Skills
API IntegrationAWSAWS Aurora DSQLAWS SDKBuild AutomationCI/CDCluster ManagementCode CleanupConfiguration ManagementContinuous IntegrationDatabase ConfigurationDatabase ManagementDependency ManagementDevOpsDocumentation
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