Hey everybody,

Just wanted to let you know that we're making a switch to a different hosting provider. The previous one was constantly crashing right from the start of the project.

Do any of you have any suggestions on how to test the new hosting's stress resistance?

Thanks in advance.

I can provide some suggestions for testing the new hosting provider's stress resistance. Here are a few methods you can consider:

1. Load Testing: Use load testing tools like Apache JMeter or Gatling to simulate high traffic and measure how the new hosting provider handles the load.

2. Benchmarking: Compare the performance of your website/application on the new hosting provider against the previous one using benchmarking tools like ApacheBench or Siege.

3. Real User Monitoring (RUM): Implement RUM tools like Google Analytics or New Relic to track real user experiences, including response time and error rates, on the new hosting provider.

4. Scalability Testing: Evaluate how well the new hosting provider scales by gradually increasing the workload and monitoring system performance during peak traffic periods.

5. Failover Testing: Test the failover capabilities of the new hosting provider by intentionally shutting down servers or introducing network disruptions and observing how quickly the system recovers.


6. Soak Testing: Simulate a consistent and prolonged load on the system to see how well it performs over an extended period. This helps identify any memory leaks or performance degradation issues that may occur over time.

7. Security Testing: Evaluate the new hosting provider's security measures by conducting penetration testing or vulnerability scans. Check for any potential weaknesses or vulnerabilities that could be exploited under high-stress conditions.

8. Disaster Recovery Testing: Test the hosting provider's disaster recovery capabilities by intentionally causing a system failure and observing how quickly they can restore services and data.

9. Geographic Load Testing: If your application or website serves users from multiple geographical locations, simulate load from different regions to ensure the hosting provider can handle traffic from various locations effectively.

10. Redundancy and High Availability Testing: Test the redundancy and high availability features of the new hosting provider by intentionally triggering failures in hardware, network, or infrastructure components and evaluating the failover mechanisms in place.

11. Database Performance Testing: Evaluate the performance and responsiveness of the database system under high-stress conditions. Test query execution times, data retrieval, and write operations to ensure that the hosting provider's database can handle your workload efficiently.

12. Network Latency Testing: Measure the network latency between your end-users and the hosting provider's servers. Test the response times from different geographical locations to ensure that users across various regions experience acceptable performance.

13. Concurrent User Testing: Simulate a large number of concurrent users accessing your application or website to determine how well the hosting provider handles concurrency. Monitor response times and server resources to ensure they remain within optimal limits.

14. Resource Monitoring: Continuously monitor system resource usage during stress testing, including CPU, memory, disk I/O, and network utilization. This helps identify any bottlenecks or resource limitations that may impact the performance of your application.

15. Real-time Monitoring: Implement real-time monitoring tools to capture system metrics and performance data during stress testing. This can help you detect any anomalies or performance issues as they occur, allowing for immediate troubleshooting and analysis.

Here are some popular stress testing tools and services that you can consider for evaluating the stress resistance of a new hosting provider:

1. Apache JMeter: A widely-used open-source tool for load testing and performance measurement. It can simulate heavy loads, analyze performance metrics, and assess the server's response under stress conditions.

2. Gatling: Another open-source load testing tool that focuses on performance and scalability. Gatling is known for its simplicity and ability to generate high loads with a small number of machines.

3. LoadRunner: A comprehensive load testing tool by Micro Focus that supports a range of protocols and technologies. It offers features like scripting, scenario creation, real-time monitoring, and analysis of load test results.

4. BlazeMeter: A cloud-based load testing platform that allows you to simulate large-scale user traffic from multiple geographic locations. It provides easy integration with popular development tools and offers real-time performance insights.

5. Locust: An open-source tool that lets you write load test scenarios in Python code. It's scalable, lightweight, and can simulate thousands of concurrent users.

6. Neoload: A load testing tool by Neotys that offers distributed testing, multi-protocol support, and real-world simulation capabilities. It provides detailed performance analytics, root cause analysis, and integrates with CI/CD pipelines.

7. Loader.io: A cloud-based stress testing service that allows you to generate high loads on your website or API. It offers a simple interface, test result visualization, and supports real-time monitoring.

8. Flood.io: A cloud-based load testing platform designed for scalability and ease of use. It supports various load testing frameworks and can simulate large-scale virtual user activity.

9. siege: A popular open-source command-line tool for stress testing web servers. It allows you to simulate concurrent user traffic and measure server performance under load.

10. Artillery: An open-source load testing tool that focuses on simplicity and scalability. It supports HTTP, WebSocket, and Socket.IO protocols and provides real-time metrics and reporting.

11. LoadFocus: A cloud-based load testing service that offers a user-friendly interface for creating and executing load tests. It supports various protocols, provides real-time monitoring, and generates detailed reports.

12. k6: An open-source load testing tool written in Go. It provides scriptable load testing scenarios, support for HTTP, WebSocket, and SSE protocols, and extensive result analysis capabilities.

13. Blazemeter: A cloud-based load testing platform that offers a wide range of testing services, including load testing, performance testing, and continuous testing. It integrates with popular CI/CD tools and provides detailed reporting and analysis.

14. LoadNinja: A cloud-based load testing tool by SmartBear that focuses on load testing web applications with real browsers. It enables scriptless load testing, provides real-time user experience metrics, and supports collaboration.

15. Flood Element: A cloud-based load testing service that specializes in testing web and mobile applications. It uses real web browsers to simulate user interactions and supports scripting using JavaScript.

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First of all, no OpenVZ and other Virtuozzo.
VPS on this platform extremely provoke hosters to oversell, OpenVZ has a rake with the allocation of RAM, and everything except Xen handles the load on the disk poorly, and if the disk is loaded, the muscle will barely spin, this is critical for drupal.
I myself used to sit on a VPS until I saw this kitchen from the inside, now I can't be pushed into a VPS, the only thing is that a friend opened a VPS hosting (not related to it-patrol in any way), maybe we'll cooperate with him and make a preset for drupal, i.e. accelerator, muscle tweaks, etc.

Summary: there are no cheap and good VPS at the same time

Opting for a brief DDoS assault on your server, which could last from 10 to 15 minutes, is a relatively simple course of action. Despite its affordable price point, it could potentially yield substantial information.

Nurturing good relationships with DDoS service providers is quite beneficial. Establishing such dynamics would pave the way for negotiating a wide variety of tests, ranging from congestion-induced network failure to focussed DDoS attacks on specified scripts or ports.

By implementing these tests, security vulnerabilities could be swiftly pinpointed. Notably, such proactive steps would allow your team to fortify your defense mechanisms preemptively, potentially saving time and resources caught up in various cyber threats.

Start with synthetic load testing using tools like Apache JMeter or Locust to simulate concurrent users hitting your endpoints, focusing on peak traffic scenarios.
Monitor response times, error rates, and server resource metrics (CPU, RAM, I/O). Also, run stress tests to push the server beyond normal capacity and observe how it degrades - graceful degradation is key.

Don't forget to check for any throttling or rate-limiting policies baked into the new host's stack, which could bottleneck performance unexpectedly.