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Shiyang Yang

PROFILE

Shiyang Yang

Over four months, contributed to awslabs/mcp and aws-observability/aws-otel-java-instrumentation by building features that enhanced observability, governance, and deployment readiness. Developed audit tooling and SLO compliance features for CloudWatch Application Signals MCP using Python and Boto3, enabling detailed root-cause analysis and improved incident response. Implemented default environment variable handling in Java for OpenTelemetry instrumentation, simplifying configuration for non-Lambda deployments. Strengthened monitoring and auditing through IAM permission updates and standardized environment configurations. Authored documentation for GenAI token monitoring in Amazon Bedrock services, focusing on auditability and anomaly detection. Work emphasized configuration management, documentation quality, and cross-team collaboration for future scalability.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
6
Lines of code
9,453
Activity Months4

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026 monthly summary for awslabs/mcp focused on GenAI token monitoring documentation. Key delivery: documented GenAI token monitoring to audit documentation, outlining input/output token usage patterns and anomaly detection in Amazon Bedrock services. This work enhances auditability, governance, and readiness for future GenAI feature adoption. No major bugs were fixed this month; the priority was documentation quality and alignment with compliance requirements. Collaboration with cross-team stakeholders helped ensure clear guidance for future implementation and monitoring.

November 2025

3 Commits • 3 Features

Nov 1, 2025

Concise monthly summary for 2025-11 focused on strengthening monitoring, governance, and deployment readiness for awslabs/mcp. No major bugs reported this month.

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary: Delivered audit tooling for AWS services and SLO compliance within the CloudWatch Application Signals MCP server, expanding service- and operation-level analysis and enabling comprehensive root-cause investigation through auditing. Implemented ListAuditFindings API tooling to support detailed findings retrieval and investigation workflows. This work strengthens governance, improves incident response, and contributes to regulatory readiness.

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025 monthly summary (aws-observability/aws-otel-java-instrumentation): Focused on reliability and ease of use for non-Lambda deployments by introducing default environment variable values for essential OpenTelemetry configurations (metrics exporters, trace samplers, endpoint configurations) when running outside Lambda to prevent runtime errors and simplify setup. This work reduces setup complexity and stabilizes telemetry across environments.

Activity

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Quality Metrics

Correctness95.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage40.0%

Skills & Technologies

Programming Languages

JavaMarkdownPythonplaintext

Technical Skills

API IntegrationAWS Application SignalsAWS IAMBoto3Cloud MonitoringCloudWatchConfiguration ManagementDocumentationEnvironment VariablesJavaObservabilityOpenTelemetryPythonRoot Cause AnalysisService Level Objectives (SLOs)

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

awslabs/mcp

Sep 2025 Mar 2026
3 Months active

Languages Used

MarkdownPythonplaintext

Technical Skills

API IntegrationAWS Application SignalsBoto3CloudWatchObservabilityPython

aws-observability/aws-otel-java-instrumentation

Mar 2025 Mar 2025
1 Month active

Languages Used

Java

Technical Skills

Configuration ManagementEnvironment VariablesJavaOpenTelemetry