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Tag Archives: CloudXPRT

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

The CloudXPRT learning tool is now live!

We’re happy to announce that the CloudXPRT learning tool is now live! We designed the tool 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.

The tool features four primary areas of content:

  • The Q&A section provides quick answers to the questions we receive most from testers and the tech press.
  • The CloudXPRT: the basics section describes specific topics such as the benchmark’s target platforms, workloads, companion cloud software, and hardware and software requirements.
  • The Testing and results section covers the testing process, metrics, and how to publish results.
  • The cloud primer provides brief, easy-to-understand definitions of key cloud computing terms and concepts.

The first screenshot below shows the home screen. To illustrate how some of the pop-up information sections appear, the second screenshot shows part of the Key terms and concepts module in the Cloud primer section. 

We’re excited about the new CloudXPRT learning tool! If you have any questions about the tool, or suggestions for additional content to include in it, please let us know!

Justin

The XPRTs in 2020: a year to remember

As 2020 comes to a close, we want to take this opportunity to review another productive year for the XPRTs. Readers of our newsletter are familiar with the stats and updates we include each month, but for our blog readers who don’t receive the newsletter, we’ve compiled some highlights below.

Benchmarks
In the past year, we released CrXPRT 2 and updated MobileXPRT 3 for testing on Android 11 phones. The biggest XPRT benchmark news was the release of CloudXPRT v1.0 and v1.01. CloudXPRT, our newest  benchmark, can accurately measure the performance of cloud applications deployed on modern infrastructure-as-a-service (IaaS) platforms, whether those platforms are paired with on-premises, private cloud, or public cloud deployments. 

XPRTs in the media
Journalists, advertisers, and analysts referenced the XPRTs thousands of times in 2020, and it’s always rewarding to know that the XPRTs have proven to be useful and reliable assessment tools for technology publications such as AnandTech, ArsTechnica, Computer Base, Gizmodo, HardwareZone, Laptop Mag, Legit Reviews, Notebookcheck, PCMag, PCWorld, Popular Science, TechPowerUp, Tom’s Hardware, VentureBeat, and ZDNet.

Downloads and confirmed runs
So far in 2020, we’ve had more than 24,200 benchmark downloads and 164,600 confirmed runs. Our most popular benchmark, WebXPRT, just passed 675,000 runs since its debut in 2013! WebXPRT continues to be a go-to, industry-standard performance benchmark for OEM labs, vendors, and leading tech press outlets around the globe.

Media, publications, and interactive tools
Part of our mission with the XPRTs is to produce materials that help testers better understand the ins and outs of benchmarking in general and the XPRTs in particular. To help achieve this goal, we’ve published the following in 2020:

We’re thankful for everyone who has used the XPRTs, joined the community, and sent questions and suggestions throughout 2020. This will be our last blog post of the year, but there’s much more to come in 2021. Stay tuned in early January for updates!

Justin

The AIXPRT learning tool is now live (and a CloudXPRT version is on the way)!

We’re happy to announce that the AIXPRT learning tool is now live! We designed the tool to serve as an information hub for common AIXPRT topics and questions, and to help tech journalists, OEM lab engineers, and everyone who is interested in AIXPRT find the answers they need in as little time as possible.

The tool features four primary areas of content:

  • The Q&A section provides quick answers to the questions we receive most from testers and the tech press.
  • The AIXPRT: the basics section describes specific topics such as the benchmark’s toolkits, networks, workloads, and hardware and software requirements.
  • The testing and results section covers the testing process, metrics, and how to publish results.
  • The AI/ML primer provides brief, easy-to-understand definitions of key AI and ML terms and concepts for those who want to learn more about the subject.

The first screenshot below shows the home screen. To show how some of the popup information sections appear, the second screenshot shows the Inference tasks (workloads) entry in the AI/ML Primer section. 

We’re excited about the new AIXPRT learning tool, and we’re also happy to report that we’re working on a version of the tool for CloudXPRT. We hope to make the CloudXPRT tool available early next year, and we’ll post more information in the blog as we get closer to taking it live.

If you have any questions about the tool, please let us know!

Justin

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