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Month: June 2020

The CloudXPRT results viewer is live

Justin Greene
By Justin Greene
on June 25, 2020

We’re happy to announce that the CloudXPRT results viewer is now live with results from the first few rounds of CloudXPRT Preview testing we conducted in our lab. Here are some tips to help you to navigate the viewer more efficiently:

  • Click the tabs at the top of the table to switch from Data analytics workload results to Web microservices workload results.
  • Click the header of any column to sort the data on that variable. Single click to sort A to Z and double-click to sort Z to A.
  • Click the link in the Source/details column to visit a detailed page for that result, where you’ll find additional test configuration and system hardware information and the option to download results files.
  • By default, the viewer displays eight results per page, which you can change to 16, 48, or Show all.
  • The free-form search field above the table lets you filter for variables such as cloud service or processor.

We’ll be adding more features, including expanded filtering and sorting mechanisms, to the results viewer in the near future. We’re also investigating ways to present multiple data points in a graph format, which will allow visitors to examine performance behavior curves in conjunction with factors such as concurrency and resource utilization.

We welcome your CloudXPRT results submissions! To learn about the new submission and review process we’ll be using, take a look at last week’s blog.

If you have any questions or suggestions for ways that we can improve the results viewer, please let us know!

Justin

Posted in Benchmark metrics, Benchmarking, BenchmarkXPRT, Cloud, CloudXPRT, data analytics, Interactive tools, microservices, Performance benchmarking, results, results submission, web microservices | Tagged , , , , , |

The CloudXPRT Preview results submission schedule

Justin Greene
By Justin Greene
on June 18, 2020

A few weeks ago, we shared the general framework of the periodic results publication process we will use for CloudXPRT. Now that the CloudXPRT Preview is live, we’re ready to share more details about the results review group; the submission, review, and publication cycles; and the schedule for the first three months.

The results review group
The CloudXPRT results review group will serve as a sanity check and a forum for comments on each month’s submissions. All registered BenchmarkXPRT Development Community members who wish to participate in the review process can join the group by contacting us via email. We’ll confirm receipt of your request and add you to the review group mailing list. Any non-members who would like to join the review group can contact us and we’ll help you become community members.

The submission, review, and publication cycle
We will update the CloudXPRT results database once a month on a published schedule. While testers can submit results through the CloudXPRT results submission page at any time, two weeks prior to each publication date, we will close submissions for that review cycle. One week prior to each publication date, we will email details of that month’s submissions to the results review group, along with the deadline for sending post-publication feedback.

Schedule for the first three publication cycles
We will publish results to the database on the last business day of each month and will close the submission window at 11:59 PM on the business day that falls two weeks earlier (with occasional adjustments for holidays). The schedule will be available at least six months in advance on CloudXPRT.com.

The schedule for the first three cycles is as follows:

July
Submission deadline: Friday 7/17/20
Publication date: Friday 7/31/20
August
Submission deadline: Monday 8/17/20
Publication date: Monday 8/31/20
September
Submission deadline: Wednesday 9/16/20
Publication date: Wednesday 9/30/20

As a reminder, members of the tech press, vendors, and other testers are free to publish CloudXPRT results at any time. We may choose to add such results to our database on the monthly publication date, after first vetting them.

We look forward to reviewing the first batch of results! If you have any questions about CloudXPRT or the results submission or review process, let us know!

Justin

Posted in benchmark, Benchmark metrics, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Cloud, CloudXPRT, Datacenter, results, results submission | Tagged , , , , , |

The CloudXPRT Preview is here!

Justin Greene
By Justin Greene
on June 11, 2020

The CloudXPRT Preview installation packages are now available on CloudXPRT.com and the BenchmarkXPRT GitHub repository! The CloudXPRT Preview includes two workloads: web microservices and data analytics (you can find more details about the workloads here). Testers can use metrics from the workloads to compare IaaS stack (both hardware and software) performance and to evaluate whether any given stack is capable of meeting SLA thresholds. You can configure CloudXPRT to run on local datacenter, Amazon Web Services, Google Cloud Platform, or Microsoft Azure deployments.

Several different test packages are available for download from the CloudXPRT download page. For detailed installation instructions and hardware and software requirements for each, click the package’s readme link. The Helpful Info box on CloudXPRT.com also contains resources such as links to the CloudXPRT master readme and the CloudXPRT GitHub repository. Soon, we will add a link to the CloudXPRT Preview source code, which will be freely available for testers to download and review.

All interested parties may now publish CloudXPRT results. However, until we begin the formal results submission and review process in July, we will publish only results we produce in our own lab. We anticipate adding the first set of those within the coming week.

We’re thankful for all the input we received during the initial CloudXPRT development process, and we welcome feedback on the CloudXPRT Preview. If you have any questions about CloudXPRT, or would like to share your comments and suggestions, please let us know.

Justin

Posted in benchmark, Benchmark metrics, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, CloudXPRT, Clusters, Datacenter, Hosted cloud, On-premise, Performance benchmarking, results, results submission, Server, Servers, Source code, web microservices | Tagged , , , , , , , , |

BenchmarkXPRT releases a preview of CloudXPRT, a benchmark for measuring the performance of cloud-first applications deployed on modern on-prem or hosted IaaS platforms

Justin Greene
By Justin Greene
on June 11, 2020

Durham, NC, June 10 —Principled Technologies and the BenchmarkXPRT Development Community release the CloudXPRT Preview, a free benchmark that can accurately measure the performance of modern, cloud-first applications deployed on modern infrastructure as a service (IaaS) platforms, whether those platforms are paired with on-premises (datacenter), private cloud, or public cloud deployments.

The CloudXPRT Preview includes web microservices and data analytics workloads. Testers can use metrics from both workloads to compare IaaS stack (both hardware and software) performance and to evaluate whether any given stack is capable of meeting SLA thresholds. CloudXPRT can be configured to run on local datacenter, AmazonWeb Services™, Google Cloud Platform™, or Microsoft Azure™ deployments.

“Existing datacenter benchmarks don’t make it easy to understand how applications will perform on a given IaaS infrastructure,” said Bill Catchings, co-founder of Principled Technologies, which administers the BenchmarkXPRT Development Community. “CloudXPRT uses cloud-native components on a hardware and software stack to provide end-to-end performance metrics that allow users to choose the best configuration for their business.”

The CloudXPRT Preview provides OEMs, the tech press, vendors, and other testers with an opportunity to work with CloudXPRT directly and shape the future of the benchmark with their feedback. Testers may also freely access the CloudXPRT source code.

CloudXPRT is part of the BenchmarkXPRT suite of performance evaluation tools, which includes AIXPRT, WebXPRT, CrXPRT, TouchXPRT, HDXPRT, and MobileXPRT. The XPRTs help users get the facts before they buy, use, or evaluate tech products such as servers, computers, and tablets/phones.

To learn more about the BenchmarkXPRT Development Community, go to www.BenchmarkXPRT.com or contact a BenchmarkXPRT Development Community representative directly by sending a message to BenchmarkXPRTsupport@PrincipledTechnologies.com.

About Principled Technologies, Inc.
Principled Technologies, Inc. is a leading provider of technology marketing, as well as learning and development services. It administers the BenchmarkXPRT Development Community.

Principled Technologies, Inc. is located in Durham, North Carolina, USA. For more information, please visit www.PrincipledTechnologies.com.

Company Contact
Justin Greene
BenchmarkXPRT Development Community
Principled Technologies, Inc.
1007 Slater Road, Ste. 300
Durham, NC 27704
BenchmarkXPRTsupport@PrincipledTechnologies.com

Posted in BenchmarkXPRT, Cloud, CloudXPRT, data analytics, Performance benchmarking, Press Releases, Server, Servers, web microservices | Tagged , , , , , , , , |

The CloudXPRT Preview is almost here

Justin Greene
By Justin Greene
on June 4, 2020

We’re happy to announce that we’re planning to release the CloudXPRT Preview next week! After we take the CloudXPRT Preview installation and source code packages live, they will be freely available to the public via CloudXPRT.com and the BenchmarkXPRT GitHub repository. All interested parties will be able to publish CloudXPRT results. However, until we begin the formal results submission and review process in July, we will publish only results we produce in our own lab. We’ll share more information about that process and the corresponding dates here in the blog in the coming weeks.

We do have one change to report regarding the CloudXPRT workloads we announced in a previous blog post. The Preview will include the web microservices and data analytics workloads (described below), but will not include the AI-themed container scaling workload. We hope to add that workload to the CloudXPRT suite in the near future, and are still conducting testing to make sure we get it right.

If you missed the earlier workload-related post, here are the details about the two workloads that will be in the preview build:

  • In the web microservices workload, a simulated user logs in to a web application that does three things: provides a selection of stock options, performs Monte-Carlo simulations with those stocks, and presents the user with options that may be of interest. The workload reports performance in transactions per second, which testers can use to directly compare IaaS stacks and to evaluate whether any given stack is capable of meeting service-level agreement (SLA) thresholds.
  • The data analytics workload calculates XGBoost model training time. XGBoost is a gradient-boosting framework  that data scientists often use for ML-based regression and classification problems. The purpose of the workload in the context of CloudXPRT is to evaluate how well an IaaS stack enables XGBoost to speed and optimize model training. The workload reports latency and throughput rates. As with the web-tier microservices workload, testers can use this workload’s metrics to compare IaaS stack performance and to evaluate whether any given stack is capable of meeting SLA thresholds.

The CloudXPRT Preview provides OEMs, the tech press, vendors, and other testers with an opportunity to work with CloudXPRT directly and shape the future of the benchmark with their feedback. We hope that testers will take this opportunity to explore the tool and send us their thoughts on its structure, workload concepts and execution, ease of use, and documentation. That feedback will help us improve the relevance and accessibility of CloudXPRT testing and results for years to come.

If you have any questions about the upcoming CloudXPRT Preview, please feel free to contact us.

Justin

Posted in benchmark, Benchmark metrics, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Cloud, CloudXPRT, container scaling, Hosted cloud, Hybrid cloud, IaaS, Machine learning, microservices, Performance benchmarking, Source code, web microservices | Tagged , , , , , , |

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