The best way to implement a server baseline

Today, server models, performance levels and prices vary widely, and figuring out the value of specific operations poses a tricky issue for administrators. Determining the ROI of a server is a challenge for any data center administrator. Would it be more expensive to run my application on a 16-core server than a server with less than 16 cores?

This is a difficult question to answer. Server performance is not only determined by the number of cores and GHz: Memory size, cache size, and disk I/O can also have a significant impact on performance. In many cases, the speed of the Internet will also play a certain role. Compared to the data tables provided by the competing vendors, the server benchmark is more capable of delivering more complete real-world performance. Assuming that we know what is required to implement a test baseline (often referred to as an enterprise's existing application), the hardest part is finding a server to run the tests.

The first step is to check if you need to run your own server baseline. Especially in high-performance computing environments, software vendors are very interested in knowing what the performance of the application they are developing and may have recommended a server configuration that conforms to the benchmark results. Server vendors have been able to provide a range of data related to today's popular software from their benchmark labs. Compare test benchmark results in competitive systems whenever possible. In most x64 machines, the processor originates from the same INTEL/AMD reference design, so the configuration benchmark is almost the same. In this case, we can get the test benchmark from different server vendors, rather than choosing the best vendor.

If you don't have a vendor test baseline, you'll need to get a server or cluster. If a low-capacity system is asking too much, such as a server with solid-state direct-attached storage, the vendor may provide a set of alternative systems for testing benchmarks. If you are buying several low-cost servers, then you need to consider establishing a long-term relationship with suppliers or channel representatives.

In addition to considering physical machines, test benchmarks need to take into account the cloud environment. It is difficult to find a high-core processor in a cloud host, and it is also very unlikely to find an exact server model of your choice. If the current generation of machines that meet the expected purchase criteria can be used as a cloud instance, then use one of them to infer the test baseline from the results. For example, an Nvidia GPU instance can be used as a service.

With this introduction, we know the best way to implement a server benchmark. Of course, if our server data inadvertently lost, but also to seek the help of professionals. Shanghai Shield Data Recovery Center is a very good choice, has helped a large number of customers to restore important data. I believe in their professional skills and can retrieve the lost data from the server.

The best way to implement a server baseline