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All ideas/load testing, performance engineering/A SaaS platform that automates load testing for OAuth flows, token issuance, session creation, API endpoints, and failover with integrated analysis and recommendations.
GitHubB2BDevToolsload testing, performance engineering

A SaaS platform that automates load testing for OAuth flows, token issuance, session creation, API endpoints, and failover with integrated analysis and recommendations.

Scouted 3 hours ago

7.5/ 10
Overall score

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Score breakdown

Urgency9.0
Market size7.0
Feasibility8.0
Competition6.0
Pain point

There is a lack of comprehensive load testing solutions to identify bottlenecks and validate capacity before production.

Who'd pay for this

Software development and operations teams deploying applications with OAuth authentication needing to ensure performance and scalability in production.

Source signal

"Execute load testing using k6 to identify performance bottlenecks and validate capacity for production."

Original post

P1: Load Testing & Capacity Planning - Identify Bottlenecks

Published: 3 hours ago

Repository: kushin77/code-server Author: kushin77 ## Objective Execute load testing using k6 to identify performance bottlenecks and validate capacity for production. ## Background All infrastructure deployed and healthy. Missing: load testing to understand throughput, latency, and capacity limits. ## Scope 1. OAuth Login Flow Load Test 2. JWT Token Acquisition Load Test 3. Session Creation Load Test 4. API Endpoint Load Test 5. Failover Load Test ## Testing Framework Tool: k6 (golang-based load testing) Scenarios: 5+ test scripts Results: Throughput, latency percentiles, error rates Documentation: Capacity planning recommendations ## Effort Estimate 10-12 hours (test development, execution, analysis, documentation) ## Definition of Done Implement and execute scenarios, identify bottlenecks, document capacity and scaling recommendations. ## Priority P1 (validates production readiness)