Contact person: AI-Driven Scalability Testing Framework

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Location: Singapore, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a proof-of-concept framework that uses AI techniques to stress, model, and predict scalability limits across several environments: web applications, mobile apps, micro-services, and relational / NoSQL databases. The goal is to move beyond simple load scripts and give my team an adaptive harness that can learn from previous runs, identify the next bottleneck automatically, and recommend capacity planning actions.

Here is how I picture the work:
• Model generation – train or tune an ML component (Python, TensorFlow, or similar) that recognises patterns in response times and resource saturation as concurrent users grow.
• Scenario builder – on each iteration, the AI should propose new loads or traffic mixes, then launch them through an underlying engine such as JMeter, k6, Locust, or Gatling (your choice, but open-source preferred).
• Cross-platform agents – lightweight collectors that can be dropped into web front ends, mobile back ends, micro-service clusters, and database nodes to stream real-time metrics (CPU, memory, I/O, thread pools).
• Insights & alerts – a concise dashboard or CLI report that flags scalability thresholds (e.g., 80 % CPU at 2 000 RPS) and suggests configuration changes.
• Documentation – setup steps, architecture diagram, and example test plan so my in-house team can extend the framework.

Acceptance criteria
1. Framework reliably spins up a test run against a sample web API, mobile gateway, and database, then outputs a scalability curve without manual tuning.
2. Adding a new micro-service target requires no code change—only a YAML or JSON config entry.
3. All components run in Docker containers and can be orchestrated through a single command or CI job.
4. Codebase and models pass a short peer review focused on clarity and reproducibility.

When you reply, please point me to past work that demonstrates similar AI-assisted performance or load-testing projects; that’s the main factor I’ll use to shortlist proposals." (client-provided description)