aws/integrations-on-dotnet-aspire-for-aws
Apr 2026 – Apr 2026
1 Month active
Languages Used
C#
Technical Skills
AWS LambdaC# DevelopmentCloud DevelopmentEvent-Driven Architecture
msmourao
PROFILE
Msmourao
Worked on the aws/integrations-on-dotnet-aspire-for-aws repository to address stability concerns in cloud-based event-driven architectures. Focused on resolving a resource naming collision that occurred when multiple SQS event sources were attached to a single AWS Lambda function. Implemented a unique naming scheme by combining the queue name with a hash, ensuring each resource name remained distinct and preventing deployment conflicts. Utilized C# and AWS Lambda within a cloud development context, validating the solution through targeted tests and code review. Updated documentation and code comments to clarify the new approach, resulting in reduced operational risk for multi-source Lambda configurations.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
110
Activity Months1
Work History
April 2026
1 Commits
Apr 1, 2026April 2026: Stability improvements for aws/integrations-on-dotnet-aspire-for-aws by fixing resource naming collisions when multiple SQS event sources attach to a single Lambda function. Introduced a unique naming scheme combining the queue name with a hash to ensure resource names are unique, preventing deployment conflicts and reducing operational risk. This work involved a targeted bug fix and review, with one commit addressing the issue.
1 Commits
Apr 1, 2026April 2026: Stability improvements for aws/integrations-on-dotnet-aspire-for-aws by fixing resource naming collisions when multiple SQS event sources attach to a single Lambda function. Introduced a unique naming scheme combining the queue name with a hash to ensure resource names are unique, preventing deployment conflicts and reducing operational risk. This work involved a targeted bug fix and review, with one commit addressing the issue.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#
Technical Skills
AWS LambdaC# DevelopmentCloud DevelopmentEvent-Driven Architecture
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