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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

Moving forward with WebXPRT 4

In the coming months, we’ll be moving forward with the first stages of the WebXPRT 4 development process. It’s been a while since we last asked readers to send their thoughts about web technologies and workloads that may be a good fit for WebXPRT 4, but we’re still very much open to ideas. If you missed our previous posts about possible changes for WebXPRT 4, we recap the most prominent ideas below. We also request specific feedback regarding a potential battery life component.

  • Community members have asked about a WebXPRT 4 battery life test. Any such test would likely be very similar to the performance-weighted battery life test in CrXPRT 2 (as opposed to a simple rundown test). While WebXPRT runs in almost any browser, cross-browser compatibility issues could cause a WebXPRT battery life test to run in only one browser. If this turned out to be the case, would you still be interested in using the battery life test? Please let us know.
  • One of the most promising ideas is the potential addition of one or more WebAssembly (WASM) workloads. WASM is a low-level, binary instruction format that works across all modern browsers. It offers web developers a great deal of flexibility and provides the speed and efficiency necessary for running complex client applications in the browser. WASM enables a variety of workload scenario options, including gaming, video editing, VR, virtual machines, image recognition, and interactive educational content.
  • We are also considering adding a web-based machine learning workload with TensorFlow for JavaScript (TensorFlow.js). TensorFlow.js offers pre-trained models for a wide range of tasks including image classification, object detection, sentence encoding, and natural language processing. We could also use this technology to enhance one of WebXPRT’s existing AI-themed workloads, such as Organize Album using AI or Encrypt Notes and OCR Scan.
  • Other ideas include using a WebGL-based workload to target GPUs, and simulating common web applications.

We’ll start work on WebXPRT 4 soon, but there’s still time to send your comments and ideas, so please do so as quickly as possible!

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

We’ve fixed an installation bug in the CloudXPRT Data Analytics Workload package

Yesterday, we published an updated CloudXPRT Data Analytics workload package that fixes a problem during the package installation process. CloudXPRT uses the Helm utility, which serves as a package manager for the Kubernetes container orchestration system. Helm accesses files in a default repository, and the version of Helm that we originally used with CloudXPRT tries to access files that are no longer available. We fixed the problem by updating the code to use the latest version of Helm.

This update does not change how the benchmark workload runs, and has no impact on benchmark results. We apologize if this bug caused headaches for any testers during installation, and we appreciate your patience as we worked on a fix.

As a reminder for testers interested in experimenting with the CloudXPRT Data Analytics workload, the Overview of the CloudXPRT Data Analytics Workload paper is now available. 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, or have encountered any obstacles during testing, 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

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