You can also use load tests to reveal current system capacity, bandwidth issues, load balancing problems, and more. The purpose of a load test is to expose defects, such as memory mismanagement, buffer overflow, and memory leads. Load tests can also reveal how much pressure can be put on a system before performance begins to suffer. You might also leverage load testing by giving a system an empty task, so you can monitor and assess how your VM or system copes with zero-load instances.Ī typical load test will monitor key attributes and metrics, including peak performance, server throughput, adequacy of the H/W environment, and how response times vary based on load levels. Load testing is a highly effective way of determining how much a system or VM can withstand because it pushes them to the limit and monitors the results. Load testing is also different from endurance testing, which assesses how much VMs or systems can cope with by subjecting them to a high load for a sustained time period. Although similar, load testing is not to be confused with volume testing, which is usually for testing databases. If you’re leveraging the right VM performance tools, you can conduct load testing quickly and efficiently. Load TestingĪ load test is a VM performance test type for assessing VM performance by continuously and steadily increasing load until the VM’s capacity has been reached. If your VM performance tests are effective, it will enable you to project VM performance issues. Although many benchmarks are industry-specific, and are certainly worth considering, your business’ benchmarks should be tailored to your individual business needs and reflect service level agreements (SLAs.) Your VM performance test benchmarks should cover resource usage, throughput, speed, stability, and response time. The goal of VM performance testing is to determine an appropriate performance benchmark. Because of this, the phrase “performance testing” can be used as a broad term but also refers to more specialized test types. There are different performance test types, including spike testing, endurance testing, volume testing, and scalability testing. VM performance testing typically involves validating scalability, reliability, and resource usage. Performance TestingĪdministrators leverage VM performance testing to assess how various system components cope with different circumstances. These include performance testing (as an umbrella term), load testing, and stress testing. Three key test types should be leveraged during VM performance optimization activities. A VM performance test can help businesses identify where VM performance issues originate. VM performance tests play a crucial role in improving and maintaining VM performance. Unaccessed Memory, which indicates how much memory is not currently accessed by VM.Ballooned Memory, which measures how much guest physical memory currently reclaimed via balloon driver.Private Guest Memory, which refers to how much memory backed physically by the relevant host.Overhead Consumption, which shows how much memory consumed to run a specific VM.Active Guest Memory, which indicates how much memory is being actively consumed by the VM.Throughput, which averages the Disk Write Average and Disk Read Average metrics.Disk Queue Latency Average, which shows how long a command is left waiting in a queue for disk processing.Disk Total Latency Average, which indicates how much disk latency is occurring.Disk Commands Aborted Summation, which shows how many times requests have been sent to disk, but the commands aborted.This metric measures at what point a disk bus reset occurs. Disk Bus Reset, which refers to when all queued HBA or Disk Bus commands are wiped out.CPU Usage Average, which measures how much physical CPU is being used.

CPU Ready Summation, which can be used to assess whether a virtual machine is experiencing CPU ready problems.

CPU Extra Summation, which indicates when a CPU processing speed and I/O traffic mismatch is occurring.

You should be actively monitoring the most important VM performance metrics: If not managed appropriately, this can cause resource allocation issues and result in performance issues.īecause you can monitor thousands of VM performance metrics, identifying which ones are important can be challenging.

In virtualized environments, applications must compete for dynamic, shared infrastructure resources, including CPU cycles, memory, and storage. Virtualization and the existence of VMs has introduced new data center management challenges.

Benchmark testing for sls machines