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Default requirements for CloudXPRT results submissions

Over the past few weeks, we’ve received questions about whether we require specific test configuration settings for official CloudXPRT results submissions. Currently, testers have the option to edit up to 12 configuration options for the web microservices workload and three configuration options for the data analytics workload. Not all configuration options have an impact on testing and results, but a few of them can drastically affect key results metrics and how long it takes to complete a test. Because new CloudXPRT testers may not anticipate those outcomes, and so many configuration permutations are possible, we’ve come up with a set of requirements for all future results submissions to our site. Please note that testers are still free to adjust all available configuration options—and define service level agreement (SLA) settings—as they see fit for their own purposes. The requirements below apply only to results testers want to submit for publication consideration on our site, and to any resulting comparisons.


Web microservices results submission requirement

Starting with the May results submission cycle, all web microservices results submissions must have the workload.cpurequestsvalue, which lets the user designate the number of CPU cores the workload assigns to each pod, set to 4. Currently, the benchmark supports values of 1, 2, and 4, with the default value of 4. While 1 and 2 CPU cores per pod may be more appropriate for relatively low-end systems or configurations with few vCPUs, a value of 4 is appropriate for most datacenter processors, and it often enables CSP instances to operate within the benchmark’s max default 95th percentile latency SLA of 3,000 milliseconds.

In future CloudXPRT releases, we may remove the option to change the workload.cpurequests value from the config.json file and simply fix the value in the benchmark’s code to promote test predictability and reasonable comparisons. For more information about configuration options for the web microservices workload, please consult the Overview of the CloudXPRT Web Microservices Workload white paper.


Data analytics results submission requirement

Starting with the May results submission cycle, all data analytics results submissions must have the best reported performance (throughput_jobs/min) correspond to a 95th percentile SLA latency of 90 seconds or less. We have received submissions where the throughput was extremely high, but the 95th percentile SLA latency was up to 10 times the 90 seconds that we recommend in CloudXPRT documentation. High latency values may be acceptable for the unique purposes of individual testers, but they do not provide a good basis for comparison between clusters under test. For more information about configuration options with the data analytics workload, please consult the Overview of the CloudXPRT Data Analytics Workload white paper.

We will update CloudXPRT documentation to make sure that testers know to use the default configuration settings if they plan to submit results for publication. If you have any questions about CloudXPRT or the CloudXPRT results submission process, please let us know.

Justin

The CloudXPRT v1.1 general release is tomorrow!

We’re happy to announce that CloudXPRT v1.1 will move from beta to general release status tomorrow! The installation packages will be available at the CloudXPRT.com download page and the BenchmarkXPRT GitHub repository. You will find more details about the v1.1 updates in a previous blog post, but the most prominent changes are the consolidation of the five previous installation packages into two packages (one per workload) and added support for Ubuntu 20.04.2 with on-premises testing.

Before you get started with v1.1, please note the following updated system requirements:

  • Ubuntu 20.04.2 or later for on-premises testing
  • Ubuntu 18.04 and 20.04.2 or later for CSP (AWS/Azure/GCP) testing

CloudXPRT is designed to run on high-end servers. Physical nodes or VMs under test must meet the following minimum specifications:

  • 16 logical or virtual CPUs
  • 8 GB of RAM
  • 10 GB of available disk space (50 GB for the data analytics workload)

We have also made significant adjustments to the installation and test configuration instructions in the readmes for both workloads, so please revisit these documents even if you’re familiar with previous test processes.

As we noted during the beta period, we have not observed any significant differences in performance between v1.01 and v1.1, but we haven’t tested every possible test configuration across every platform. If you observe different results when testing the same configuration with v1.01 and v1.1, please send us the details so we can investigate.

If you have any questions about CloudXPRT v1.1, please let us know!

Justin

The CloudXPRT v1.1 beta is available!

Last week, we announced that a CloudXPRT v1.1 beta was on the way. We’re happy to say that the v1.1 beta is now available to the public on a dedicated CloudXPRT v1.1 beta download page. While CloudXPRT v1.01 remains the officially supported version on CloudXPRT.com and in our GitHub repository, interested testers can use the v1.1 beta version in new environments as we finalize the v1.1 build for official release. You are welcome to publish results as we do not expect results to change in the final, official release.

As we mentioned in last week’s post, the CloudXPRT v1.1 beta includes the following changes:

  • We’ve added support for Ubuntu 20.04.2 or later for on-premises testing.
  • We’ve consolidated and standardized the installation packages for both workloads. Instead of one package for the data analytics workload and four separate packages for the web microservices workload, each workload has a single installation package that supports on-premises testing and testing with all three supported CSPs.
  • We’ve incorporated Terraform to help create and configure VMs, which helps to prevent problems when testers do not allocate enough storage per VM prior to testing.
  • We’ve replaced the Calico network plugin in Kubespray with Weave, which helps to avoid some of the network issues testers have occasionally encountered in the CPS environment.

Please feel free to share the link to the beta download page. (To avoid confusion, the beta will not appear in the main CloudXPRT download table.) We can’t yet state definitively whether results from the new version will be comparable to those from v1.01. We have not observed any significant differences in performance, but we haven’t tested every possible test configuration across every platform. If you observe different results when testing the same configuration with v1.01 and v1.1 beta, please send us the details so we can investigate.

If you have any questions about CloudXPRT or the CloudXPRT v1.1 beta, please let us know!

Justin

The CloudXPRT v1.1 beta is on the way

As we’ve been working on improvements and updates for CloudXPRT, we’ve been using feedback from community members to determine which changes will help testers most in the short term. To make some of those changes available to the community as soon as possible, we plan to release a beta version of CloudXPRT v1.1 in the coming weeks.

During the v1.1 beta period, the CloudXPRT v1.01 installation packages on CloudXPRT.com and our GitHub repository will continue to include the officially supported version of CloudXPRT. However, interested testers can experiment with the v1.1 beta version in new environments while we finalize the build for official release. 

The CloudXPRT v1.1 beta includes the following primary changes:

  • We’re adding support for Ubuntu 20.04.2 or later, the number one request we’ve received.
  • We’re consolidating and standardizing the installation packages for both workloads. Instead of one package for the data analytics workload and four separate packages for the web microservices workload, each workload will have two installation packages: one for all on-premises testing and one for testing with all three supported CSPs.
  • We’re incorporating Terraform to help create and configure VMs, which will help to prevent situations when testers do not allocate enough storage per VM prior to testing.
  • We use Kubespray to manage Kubernetes clusters, and Kubespray uses Calico as the default network plug in. Calico has not always worked well for CloudXPRT in the CSP environment, so we’re replacing Calico with Weave.


At the start of the beta period, we will share a link to the v1.1 beta download page here in the blog. You’ll be free to share this link. To avoid confusion, we will not add the beta download to the v1.01 downloads available on CloudXPRT.com.

As the beta release date approaches, we’ll share more details about timelines, access, and any additional changes to the benchmark. If you have any questions about the upcoming CloudXPRT v1.1 beta, please let us know!

Justin

The Overview of the CloudXPRT Data Analytics Workload white paper is now available!

Today, we expand our portfolio of CloudXPRT resources with a paper on the benchmark’s data analytics workload. While we summarized the workload in the Introduction to CloudXPRT white paper, the new paper goes into much greater detail.

In addition to providing practical information about the data analytics installation package and minimum system requirements, the paper describes the workload’s test configuration variables, structural components, task workflows, and test metrics. It also discusses interpreting test results and the process for submitting results for publication.

CloudXPRT is the most complex tool in the XPRT family, and the new paper is part of our effort to create more—and better—CloudXPRT documentation. We plan to publish additional CloudXPRT white papers in the coming months, with possible future topics including the impact of adjusting specific test configuration options, recommendations for results reporting, and methods for analysis.

We hope that the Overview of the CloudXPRT Data Analytics Workload paper will serve as a go-to resource for CloudXPRT testers, and will answer any questions you have about the workload. You can find links to the paper and other resources in the Helpful Info box on CloudXPRT.com and the CloudXPRT section of our XPRT white papers page.

If you have any questions, please let us know!

Justin

Improved CloudXPRT documentation is coming soon

CloudXPRT is undoubtedly the most complex tool in the XPRT family of benchmarks. To run the cloud-native benchmark’s multiple workloads across different hardware and software platforms, testers need two things: (1) at least a passing familiarity with a wide range of cloud-related toolkits, and (2) an understanding that changing even one test configuration variable can affect test results. While the complexity of CloudXPRT makes it a powerful and flexible tool for measuring application performance on real-world IaaS stacks, it also creates a steep learning curve for new users.

Benchmark setup and configuration can involve a number of complex steps, and the corresponding instructions should be thorough, unambiguous, and intuitive to follow. For all of the XPRT tools, we strive to publish documentation that provides quick, easy-to-find answers to the questions users might have. Community members have asked us to improve the clarity and readability of the CloudXPRT setup, configuration, and individual workload documentation. In response, we are working to create more—and better—CloudXPRT documentation.

If you’re intimidated by the benchmark’s complexity, helping you is one of our highest priorities. In the coming weeks and months, we’ll be evaluating all of our CloudXPRT documentation, particularly from the perspective of new users, and will release more information about the new documentation as it becomes available.

We also want to remind you of some of the existing CloudXPRT resources. We encourage everyone to check out the Introduction to CloudXPRT and Overview of the CloudXPRT Web Microservices Workload white papers. (Note that we’ll soon be publishing a paper on the benchmark’s data analytics workload.) Also, a couple of weeks ago, we published the CloudXPRT learning tool, which we designed to serve as an information hub for common CloudXPRT topics and questions, and to help tech journalists, OEM lab engineers, and everyone who is interested in CloudXPRT find the answers they need as quickly as possible.

Thanks to all who let us know that there was room for improvement in the CloudXPRT documentation. We rely on that kind of feedback and always welcome it. If you have any questions or suggestions regarding CloudXPRT or any of the other XPRTs, please let us know!

Justin

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