NHSDigital/nhs-notify-supplier-api
Jan 2026 – Feb 2026
2 Months active
Languages Used
JSONJavaScriptTypeScript
Technical Skills
AWS LambdaNode.jsperformance testingCloudWatchMetrics Logging
Vlasis-Perdikidis
PROFILE
Vlasis-perdikidis
Vlasis Perdikidis developed two core features for the NHSDigital/nhs-notify-supplier-api repository over a two-month period, focusing on performance and observability. He built a performance testing framework using Node.js and AWS Lambda to simulate 2,500 prepared letter requests, enabling the team to validate scalability and establish baseline metrics for capacity planning. In the following month, he integrated AWS CloudWatch metrics into Lambda functions, allowing real-time monitoring of letter processing and related events. By leveraging JavaScript, TypeScript, and metrics logging, Vlasis enhanced the system’s reliability and provided actionable insights for operational dashboards, supporting data-driven decisions and improved service monitoring.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
30,606
Activity Months2
Your Network
209 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NHSDigital/nhs-notify-supplier-api. Key feature delivered: CloudWatch Metrics Integration for Lambda Functions to emit metrics for letter processing and related events, enabling improved monitoring and observability. Commit reference: 4545aa0a5ce703d9d39e27ad2fa5ddd718d4d08b. Major bugs fixed: None reported this period. Overall impact: enhanced observability and reliability for the supplier API, enabling dashboards, proactive alerting, and data-driven capacity planning; supports faster issue resolution and SLA adherence. Technologies/skills demonstrated: AWS CloudWatch, Lambda, serverless observability, metrics instrumentation, deployment traceability via commit.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for NHSDigital/nhs-notify-supplier-api. Key feature delivered: CloudWatch Metrics Integration for Lambda Functions to emit metrics for letter processing and related events, enabling improved monitoring and observability. Commit reference: 4545aa0a5ce703d9d39e27ad2fa5ddd718d4d08b. Major bugs fixed: None reported this period. Overall impact: enhanced observability and reliability for the supplier API, enabling dashboards, proactive alerting, and data-driven capacity planning; supports faster issue resolution and SLA adherence. Technologies/skills demonstrated: AWS CloudWatch, Lambda, serverless observability, metrics instrumentation, deployment traceability via commit.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01. Key focus: performance validation for high-volume prepared letter requests in NHSDigital/nhs-notify-supplier-api. Delivered a Performance Testing Framework that simulates and manages 2,500 prepared letter requests to validate scalability and reliability of the supplier API. This framework establishes baseline performance metrics for peak traffic and informs capacity planning. The work was implemented with a commit: f0d8593a0f92f98723f1eee001be2f8075e7e8f2 (performance test for 2500 prepared letter requests (#354)).
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01. Key focus: performance validation for high-volume prepared letter requests in NHSDigital/nhs-notify-supplier-api. Delivered a Performance Testing Framework that simulates and manages 2,500 prepared letter requests to validate scalability and reliability of the supplier API. This framework establishes baseline performance metrics for peak traffic and informs capacity planning. The work was implemented with a commit: f0d8593a0f92f98723f1eee001be2f8075e7e8f2 (performance test for 2500 prepared letter requests (#354)).
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JSONJavaScriptTypeScript
Technical Skills
AWS LambdaCloudWatchMetrics LoggingNode.jsperformance testing
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