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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 / 21 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
You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 4 months ago
These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 7 months ago
Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 11 months ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache JMeter - Apache JMeter™.
Cicada - All-in-One solution for monitoring servers and network devices. Simple, friendly, amazing!
Loader.io - Loader.io is a simple cloud-based load testing service
Kaseya VSA - Kaseya VSA is a software used in remote monitoring, information technology management, cloud-based and network security resolution that gives functionalities and tools to IT enterprises and Managed Service Providers (MSP) to enable systems to become…
gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty