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Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 18 days ago
Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 3 months ago
Gatling: Known for its ease of use and support for high-concurrency simulations. - Source: dev.to / 4 months ago
Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / about 1 year ago
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / almost 2 years ago
locust - An open source load testing tool written in Python.
OctoPerf - OctoPerf is a SaaS load testing solution, based on JMeter.
Apache JMeter - Apache JMeter™.
WebLOAD - WebLOAD - The most flexible and cost effective software for enterprise load, stress and performance testing, integrated with DevOps processes. Click for details
Loader.io - Loader.io is a simple cloud-based load testing service
StresStimulus - Load testing tool for websites and mobile that works with hard-to-test applications.