govuk-one-login/performance-testing
Nov 2024 – Jun 2025
6 Months active
Languages Used
TypeScriptCSV
Technical Skills
DebuggingDevOpsLoad TestingPerformance TestingTest Data Managementperformance testing
Richie Vinod
PROFILE
Richie Vinod
Richie Vinod contributed to the govuk-one-login/performance-testing repository by designing and refining performance test profiles, enhancing test data management, and improving production observability. Over six months, Richie delivered features such as realistic load profiles for identity workflows, expanded and refreshed test datasets, and fixed configuration issues to ensure accurate and reliable performance baselines. Using TypeScript, CSV, and k6, Richie focused on configuration management, scripting, and debugging to support robust regression and load testing. The work demonstrated disciplined version control, close QA collaboration, and a strong emphasis on traceability, resulting in more stable, data-driven performance validation for critical user journeys.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
25Total
Bugs
6
Commits
25
Features
12
Lines of code
1,061,278
Activity Months6
Your Network
307 peopleSame Organization
@digital.cabinet-office.gov.uk297
Work History
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 – govuk-one-login/performance-testing: Implemented perf006 spike/peak profiles (perf006Iteration4SpikeTest, perf006Iteration5SpikeTest, perf006Iteration5PeakTest) and aligned DVLA driving permit data in ClaimsTextPayload. This delivers more realistic load testing coverage and stable test data for DVLA scenarios, reducing flaky tests and enabling earlier performance risk detection. Key contributions: three commits delivering spike/peak profiles (QA-1157, QA-1182, QA-1195); one commit aligning DVLA test data (QA-1106). Technologies/skills: performance testing configuration, test data management, traceability to QA tasks, Git commit hygiene.
4 Commits • 1 Features
Jun 1, 2025June 2025 – govuk-one-login/performance-testing: Implemented perf006 spike/peak profiles (perf006Iteration4SpikeTest, perf006Iteration5SpikeTest, perf006Iteration5PeakTest) and aligned DVLA driving permit data in ClaimsTextPayload. This delivers more realistic load testing coverage and stable test data for DVLA scenarios, reducing flaky tests and enabling earlier performance risk detection. Key contributions: three commits delivering spike/peak profiles (QA-1157, QA-1182, QA-1195); one commit aligning DVLA test data (QA-1106). Technologies/skills: performance testing configuration, test data management, traceability to QA tasks, Git commit hygiene.
June 2025
May 2025
7 Commits • 4 Features
May 1, 2025May 2025 performance-testing monthly summary for govuk-one-login/performance-testing focused on IPVCore performance observability, test data readiness for development perf, and test stability. Delivered targeted profiling enhancements, updated dev/perf data and scripts, and fixed a critical DL Spike profile to shorten feedback loops and reduce risk of performance regressions.
May 2025
7 Commits • 4 Features
May 1, 2025May 2025 performance-testing monthly summary for govuk-one-login/performance-testing focused on IPVCore performance observability, test data readiness for development perf, and test stability. Delivered targeted profiling enhancements, updated dev/perf data and scripts, and fixed a critical DL Spike profile to shorten feedback loops and reduce risk of performance regressions.
April 2025
8 Commits • 5 Features
Apr 1, 2025April 2025 performance-testing: Delivered key test profile capabilities and refreshed test data to strengthen performance validation for identity workflows. Implemented M1C peak load profile for IPVCore, added idReuse load profile for identityM1CPeakTest, and integrated a Regression profile into the IPVCore script. Fixed a load profile typo to reduce confusion and refreshed idReuseTestData.csv with fresh test data for QA-886 across multiple commits to improve data fidelity and test reliability. These changes improve test realism, detection of performance regressions, and overall business confidence in performance readiness.
8 Commits • 5 Features
Apr 1, 2025April 2025 performance-testing: Delivered key test profile capabilities and refreshed test data to strengthen performance validation for identity workflows. Implemented M1C peak load profile for IPVCore, added idReuse load profile for identityM1CPeakTest, and integrated a Regression profile into the IPVCore script. Fixed a load profile typo to reduce confusion and refreshed idReuseTestData.csv with fresh test data for QA-886 across multiple commits to improve data fidelity and test reliability. These changes improve test realism, detection of performance regressions, and overall business confidence in performance readiness.
April 2025
January 2025
1 Commits
Jan 1, 2025January 2025 performance-testing sprint: Fixed a misconfiguration in L2 spike test load profiles and implemented disciplined test traceability. Key correction ensures L2 spike tests (fraud and passport) use LoadProfile.spikeNFRSignUpL2 instead of LoadProfile.spikeNFRSignUp, aligning test inputs with expected user journeys and load shapes. This change is captured in commit 8475f5d4e0054fe7c10d9a83f25ac60688ecdeb4 (QA-714 Update Lime for L2 Spike tests). Overall impact: improved test accuracy and reliability, reduced false positives, and more trustworthy performance baselines. Skills demonstrated: load profile configuration, performance testing, version control, QA workflow, and collaboration with Lime test framework.
January 2025
1 Commits
Jan 1, 2025January 2025 performance-testing sprint: Fixed a misconfiguration in L2 spike test load profiles and implemented disciplined test traceability. Key correction ensures L2 spike tests (fraud and passport) use LoadProfile.spikeNFRSignUpL2 instead of LoadProfile.spikeNFRSignUp, aligning test inputs with expected user journeys and load shapes. This change is captured in commit 8475f5d4e0054fe7c10d9a83f25ac60688ecdeb4 (QA-714 Update Lime for L2 Spike tests). Overall impact: improved test accuracy and reliability, reduced false positives, and more trustworthy performance baselines. Skills demonstrated: load profile configuration, performance testing, version control, QA workflow, and collaboration with Lime test framework.
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for govuk-one-login/performance-testing: Delivered two major features to enhance performance testing coverage and robustness. Implemented Level 2 spike load profiles for IPV core tests and expanded the id reuse test data, enabling more realistic load scenarios and broader data coverage. These changes improve realism for capacity planning, strengthen regression detection, and support more data-driven insights for performance decisions.
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for govuk-one-login/performance-testing: Delivered two major features to enhance performance testing coverage and robustness. Implemented Level 2 spike load profiles for IPV core tests and expanded the id reuse test data, enabling more realistic load scenarios and broader data coverage. These changes improve realism for capacity planning, strengthen regression detection, and support more data-driven insights for performance decisions.
December 2024
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — Focused on code quality, observability, and production-readiness in the govuk-one-login/performance-testing repo. Delivered a targeted cleanup to remove an unnecessary debug log, reducing log noise and enabling cleaner production telemetry for performance tests. This change aligns with QA guidance and improves issue diagnosis during run-time.
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — Focused on code quality, observability, and production-readiness in the govuk-one-login/performance-testing repo. Delivered a targeted cleanup to remove an unnecessary debug log, reducing log noise and enabling cleaner production telemetry for performance tests. This change aligns with QA guidance and improves issue diagnosis during run-time.
Activity
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Quality Metrics
Correctness92.8%
Maintainability92.0%
Architecture87.2%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVTypeScript
Technical Skills
ConfigurationConfiguration ManagementData GenerationData ManagementDebuggingDevOpsLoad ProfilingLoad TestingPerformance TestingRegression TestingScriptingSystem IntegrationTest AutomationTest Data ManagementTest Data Preparation
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