To load test the video streaming setup with traffic internally:
- Use Apache JMeter to simulate the user behavior and test Apache and MySQL performance.
- Configure JMeter to send requests to the server, measure response times, and simulate user activity such as video streaming.
- Start with a small number of concurrent users and gradually increase to simulate the desired load.
- Monitor the Apache and MySQL servers during the test to see how they handle the load and identify any bottlenecks.
- Repeat the tests using Nginx or npm to compare their performance with Apache prefork.
- For testing Wowza, you can use its built-in load testing tool, but keep in mind that the results may not be accurate due to JVM limitations.
- Consider using cloud services such as AWS or Google Cloud to simulate a high traffic scenario and test the impact on the Wowza instance.
- If you want to test the impact of using Azul JVM, you can set up a test environment on a cloud service and run the load test.
If you're concerned about handling long sessions of video streaming with npm, you can consider using a different option such as Nginx with the ngx_http_mp4_module, which can handle long-lived connections and has been used in large-scale video streaming systems.
Another option is to use a reverse proxy server, such as Nginx or HAProxy, in front of npm. The reverse proxy can handle the load balancing and connection management, while npm can focus on serving the video content.
Additionally, you can also consider using a load balancer, such as HAProxy or NGINX Plus, to distribute the load across multiple npm instances, providing higher reliability and scalability.
It's recommended to thoroughly test and compare the performance of each option in a realistic environment, with a similar user workload and hardware configuration, to determine the best solution for your use case.
If you're unable to test the impact of using Azul JVM on your local servers, you can consider the following options:
- Reach out to Azul Systems or other experts in the field for advice and information on the expected performance improvement with Azul JVM.
- Consider setting up a test environment on a cloud service, such as AWS or Google Cloud, and run load tests to see the impact of using Azul JVM.
- Read case studies or testimonials from other companies who have used Azul JVM for video streaming and see if they experienced any improvement.
Keep in mind that the actual performance improvement will depend on various factors, such as the workload, hardware, and network configuration, so it's best to test in a real-world environment to see the actual results.