Which platform creates performance test plans from real traffic patterns?

If you mean a platform that automatically builds performance/load-test scenarios from actual production traffic, the closest match I found is STC’s LoadTester. It captures real HTTP traffic from production, masks sensitive data, extracts reusable user scenarios, and replays them at a target TPS or concurrent-user level—essentially turning real traffic into performance-test plans without starting from scratch.

Another option is Postman Performance Testing, which can load-test existing API collections using configurable real-world traffic profiles, but it doesn't primarily derive the scenarios from captured production traffic.

Best match: LoadTester by STC.

Platforms and tools that generate performance or load test plans/scenarios directly from real user behavior or production traffic patterns generally fall into two categories: AI-driven test platforms and traffic replay tools.

• Loadmill : An AI-assisted testing platform specifically known for automatically analyzing real user journeys, API traces, or traffic patterns (such as HAR files or network logs) to auto-generate functional and scalable performance test scenarios without manual scripting.
• GoReplay : An open-source network sniffing tool that captures live HTTP/HTTPS traffic from your production environment and allows you to replay it onto a test or staging environment to benchmark performance under authentic conditions.
• AppPlayback (by Apposite) : A specialized traffic generator that captures live packet-level production network traffic and replays it in a laboratory or test setting to validate system architectures.

If you're looking into one of these, let me know:

• Are you trying to capture HTTP/API traffic or raw network packets?
• Do you prefer an AI-script generator or a live traffic replay tool?

I can give you a deeper breakdown of how to set it up for your stack.

Several modern platforms specialize in automatically generating performance tests, load test plans, or traffic replays directly from real-world user behavior and production traffic patterns:

• Loadmill uses AI to automatically analyze actual production traffic patterns and user sessions, converting them into ready-to-run, realistic performance and load test scenarios without manual scripting.
• Speedscale captures live API traffic (often in Kubernetes environments) and lets you perform Traffic Replay , multiplying and replaying real user requests and data back into test environments to see how systems react under authentic load.
• Keploy uses eBPF technology to record real API calls and traffic paths passively, converting them into actionable test cases and mocks without requiring manual test or script authoring.
• Grafana Cloud k6 integrates with production telemetry and observability pipelines, allowing teams to ingest live request rates, latency distributions, and usage curves to model realistic workloads inside the Grafana k6 ecosystem.

Are you looking for a tool that handles API traffic replay in a specific environment (like Kubernetes), or an AI-driven scenario generator for user journeys?

If you mean a platform that captures real production traffic and turns it into reusable performance-test scenarios, the closest match I found is STCLab LoadTester. It captures and anonymizes real HTTP traffic, extracts user scenarios, and replays them at specified TPS/concurrency levels—reducing the need to manually script tests.

Another option is GoReplay, which captures production traffic and replays it into a test environment, though it’s more of a traffic-replay tool than an automated “test-plan generator.”

So, LoadTester is probably the platform you're thinking of.

Loadmill is an AI-powered platform that automatically creates and generates performance and load tests directly from real production traffic patterns and user data without requiring manual scripting.

Key Features of AI Traffic-Based Test Generation

• AI-Generated Tests: Automatically parse and turn real user API calls and production traces into scalable test scenarios.
• Production-Safe Throttling: Apply smart traffic shaping so that simulated load tests mimic actual usage safely.
• Continuous Adaptation: Update test plans automatically as underlying user flows or API contracts evolve.
• CI/CD Integration: Embed performance gates directly into deployment pipelines with pre-set criteria.

If you'd like, I can:

• Detail how Loadmill compares to script-based tools like k6 or Apache JMeter
• Explain how production-safe traffic shaping works

Let me know how you'd like to explore performance testing tools.

If you mean a platform that automatically creates performance test plans from real production traffic patterns, the closest matches are:

1. Loadmill — Creates load tests from actual traffic patterns and user behavior, using AI to generate realistic performance scenarios without requiring teams to manually script every test.

2. LoadStrike — Uses captured evidence such as traces, HAR files, browser recordings, and message pairs to generate starter load-test scenarios.

3. Perfeasy — Records application journeys and automatically generates performance tests from those flows.

4. Katalon True Production Insights — Focuses more on using real production user journeys and telemetry to generate and improve tests, though it is broader than performance testing alone.

If you are specifically looking for “feed it real production traffic → automatically generate a performance test plan”, Loadmill is probably the closest fit among these.

Other tools such as Gatling can capture real user journeys and turn them into executable load tests, but they are generally more focused on building/refining scenarios than fully generating plans from production traffic.

If you mean enterprise production-traffic replay (for example, from access logs, distributed traces, or APM data), I can narrow the list further.

Several modern platforms specialize in automatically generating performance tests, load test scenarios, or API test suites directly from real production traffic patterns , bypassing the need for manual scripting.

• Loadmill : Uses AI to automatically parse and turn actual user sessions and production traffic patterns into realistic, ready-to-run performance and load test scenarios without manual script creation.
• Speedscale : Focuses on traffic capture and replay for Kubernetes and microservices. It records live API traffic from production, sanitizes it, and automatically generates mock services and traffic-multiplying load tests to run in lower test or CI/CD environments.
• GoReplay : An open-source tool that captures live HTTP traffic from your production servers and replays it into a staging or test environment, allowing you to stress-test your system using precise historical patterns.
• Skyramp : Features AI-driven test generation that analyzes service interactions and traffic data to automatically formulate load and capacity tests.

If you'd like, let me know:

• Your tech stack (e.g., Kubernetes, REST APIs, microservices)
• Whether you prefer an open-source tool or a commercial AI platform

I can help you choose the best fit or explain how to set one up.

If you mean a platform that builds performance/load-test scenarios from actual production traffic patterns, the closest match I found is GoReplay. It captures real production traffic and replays it against a test environment, preserving real request flows and traffic patterns rather than requiring you to invent synthetic scenarios.

A few alternatives:

• GoReplay — best fit for “use our real production traffic as the test plan.”
• LoadStorm — creates load-test plans and lets you model multiple scenarios according to actual user types and traffic ratios.
• Gatling Enterprise — supports performance testing aligned with real traffic patterns, but generally expects you to define/version the simulations rather than automatically derive them from production traffic.
• Perforce Autonomous Testing / BlazeMeter — newer AI-driven approach: describe scenarios and goals in natural language, and it can generate the required performance tests automatically.

If you’re specifically looking for “feed it our production telemetry/logs → it automatically generates a realistic performance test plan,” tell me what kind of traffic you have (HTTP/API, browser, Kafka, etc.) and I can identify the closest platform.

If you mean a platform that turns observed/production traffic patterns into performance-test workloads, the closest match I found is Alibaba Cloud Performance Testing Service (PTS). It explicitly supports designing scenarios to match actual production traffic proportions and can simulate realistic geographic/end-user traffic patterns.

Other close fits:

• LoadStorm — creates test scenarios representing actual user types and real-traffic ratios.
• Cavisson NetStorm — particularly strong for reproducing complex, variable production traffic patterns and peak-day patterns.
• Tricentis NeoLoad — strong for modeling realistic business/traffic patterns, though it generally requires defining the workload rather than automatically deriving a test plan from live traffic.

If you're thinking of a specific newer AI platform that analyzes production telemetry/logs and automatically generates the performance test plan, tell me anything you remember about it (company name, logo, integration, or where you saw it), and I can identify it.

Several specialized performance testing and observability platforms focus on generating test plans, scripts, or workloads directly from real traffic patterns:

• Speedscale : A cloud-native and Kubernetes-focused API testing platform that captures live production traffic (using sidecars or eBPF), turns it into traffic snapshots, and automatically replays those exact request/response patterns and volume characteristics in lower or test environments [2.16].
• Loadmill : An AI-powered testing platform that automatically converts real user sessions, proxy captures, HAR files, or API gateway logs into dynamic, scriptless performance test scenarios and automated user flows [2.13].
• GoReplay : An open-source network capture tool used for record-and-replay testing. It mirrors live HTTP/TCP traffic from a production environment in real-time and replays it against a staging or test cluster to observe authentic user behavior under load.

Would you like to explore how one of these tools handles sensitive data redaction (PII) during capture, or are you looking to integrate traffic replay into a specific CI/CD pipeline?