Which platform creates performance test plans from real traffic patterns?

If you mean a platform that takes real production traffic patterns and turns them into performance/load-test scenarios, the closest match I found is STCLab LoadTester. It captures real HTTP traffic from production, anonymizes it, extracts reusable scenarios, and replays them at specified TPS or concurrent-user levels.

Two other close fits:

• Kentik Synthetics — uses actual network traffic to automatically set up synthetic tests and updates them as traffic patterns change.
• Postman Performance Testing — lets you model real-world traffic with load profiles and, with Agent mode, automatically determine the load at which an API starts breaking.
• Katalon TrueTest — analyzes real production user journeys and generates automated tests, though it's more focused on functional/regression coverage than load testing.

If you specifically mean “observe production traffic → automatically create a performance test plan,” I'd pick STCLab LoadTester.

Several specialized open-source and enterprise tools capture, analyze, and convert real production traffic or server logs into executable performance/load test plans:

• GoReplay : An open-source network sniffing tool that captures live HTTP/HTTPS traffic from your production servers and records it. You can save these requests to a file and replay them against a staging or test environment at exact speeds, scaled-up throughput (e.g., 200% load), or shadow live environments.
• Tandem / Log-Replay Tools (Custom & Open Source) : Many engineering teams build customized pipelines using log aggregation platforms (like Grafana Loki or ELK stacks) combined with micro-services or lightweight runners (such as loveholidays' open-source ripley tool) to parse web access logs and replay real request distributions against staging environments.
• Apache JMeter (via HTTP Archive / Proxies) : JMeter allows youbrowser or proxy recordings (like .har files or recording via the JMeter HTTP(S) Test Script Recorder) to transform real user browser interactions into a structured test plan with realistic timers and sequences.
• Grafana k6 (via HAR conversion) : While k6 primarily relies on JavaScript-based synthetic scripting, it officially supports converting recorded browser sessions (.har files exported from developer tools during real user flows) into ready-to-run k6 load testing scripts via tools like har-to-k6.

Would you like to know more about setting up traffic recording with GoReplay , or are you looking to convert browser HAR files/access logs into a specific framework like JMeter or k6?

Several modern performance testing platforms and tools specialize in turning real production traffic, telemetry, or logs into actionable test plans and executable scripts:

• • Loadmill: An AI-driven performance testing platform that automatically generates realistic load test scenarios and test plans directly from your actual production traffic patterns and traces without requiring manual scripting.
• • Grafana Cloud k6: Features capabilities (such as integrations with observability data and AI assistants) to analyze service context and actual production telemetry/request rates, automatically mapping real-world traffic patterns to k6 arrival-rate executors and stages.
• • Skyramp: Utilizes automated test generation tools that parse traces and specifications to build load-testing workflows matching expected production behaviors.
• • GoReplay: An open-source tool focused purely on capturing live, real-world HTTP traffic from your production application ports and replaying it directly into staging or test environments at varying speeds.

Would you like to explore AI-based traffic generation (like Loadmill) or do you prefer an observability-driven approach (like Grafana k6) integrated with your current monitoring stack?

If you mean a platform that automatically derives performance/load-test scenarios from actual production traffic, the closest match I found is Mockarty. Its traffic recorder captures real network traffic and can generate a performance-test script from the captured requests.

A related option is Keploy, which captures real API traffic using eBPF and automatically turns it into replayable tests, although its primary focus is functional regression, not performance/load testing.

If you're specifically looking for “analyze production traffic → infer traffic patterns → automatically create a JMeter/k6 performance test plan”, I can find the platforms that do exactly that.

If you mean a platform that automatically turns production/real-traffic patterns into performance-test scenarios or plans, ContextQA is a strong match. It says it can model realistic traffic mixes and load profiles and build performance tests from described traffic/SLA requirements without scripting.

Another close match is LoadStorm, which supports test plans with multiple scenarios reflecting actual user types and real-traffic ratios.

If you're referring to a specific product you saw described as “creates performance test plans from real traffic patterns,” tell me where you saw it (or paste the wording), and I can identify the exact platform.

Loadmill is a dedicated platform that automatically creates performance and load test plans directly from real production traffic patterns using AI, eliminating the need for manual scripting.

How Traffic-Based Test Generation Works

• Traffic Analysis: The platform ingests or analyzes real user requests, API calls, and transaction logs from live environments.
• AI Scenario Generation: It translates these real-world sequences into executable load and performance test scenarios.
• Dynamic Modeling: It replicates actual user behavior distributions, parameterization, and pacing rather than relying on static, hand-written scripts.

Alternative Tools with Production Traffic Replay

While AI-driven platforms like Loadmill synthesize tests from traffic data automatically, other traditional enterprise performance tools also support building tests from recorded real user traffic or logs:

Would you like to know more about how to capture production traffic safely for Loadmill , or are you looking to set up traffic replay using an open-source tool like JMeter?

Several modern platforms and tools specialize in turning real user traffic, production logs, or telemetry data into realistic performance test plans and executable scripts:

• Loadmill - An AI-driven platform specifically designed to automatically generate realistic load test scenarios and API test suites directly from actual user behavior, production traffic patterns, or imported HAR files.
• Grafana k6 (with Grafana Cloud / Assistant) - Uses production telemetry and observability metrics to analyze real request rates and latency baselines, helping map and generate production-ready arrival-rate execution patterns for load tests.
• GoReplay - An open-source network traffic replay tool that captures live, real-world HTTP traffic from your production environment and replays it into a test or staging environment to mimic exact usage timings and user behavior patterns.
• Traditional Enterprise APM/Load Testing Suites (such as Tricentis NeoLoad or Micro Focus LoadRunner) - Offer features to ingest network packets, proxy recordings, or application performance monitoring (APM) logs to translate real user transactions into structured test scenarios.

Would you like to explore AI-based traffic generation like Loadmill, or are you looking for an open-source / code-based approach (like k6 or GoReplay) to replay traffic in a staging environment?

If you mean a platform that uses production/real traffic patterns to automatically create performance/load-test scenarios, the closest match I found is Mockarty. Its Traffic Recorder captures real network traffic and can generate a performance test script from the captured traffic.

A few related options:

• Mockarty — captures real traffic → analyzes it → generates performance-test scripts.
• Keploy — captures real API traffic using eBPF and automatically generates tests, but its primary focus is functional regression, not load/performance testing.
• APILoadTest — creates load tests with predefined traffic patterns such as ramp-up, spike, and peak, but doesn't appear to derive those patterns from your actual production traffic.

So, if the key phrase is “performance test plans from real traffic patterns,” Mockarty is probably the platform you're thinking of.

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. [1][2]
• 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. [1]
• 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. [1][2]

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.