Close
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
Read Down
Sign in
Close
Welcome!Log into your account
Forgot your password?
Read Down
Password recovery
Recover your password
Close
Search
Logo
Logo
  • Latest News
  • Artificial Intelligence
  • Big Data and Analytics
  • Cloud
  • Networking
  • Cybersecurity
  • Applications
  • IT Management
  • Storage
  • Sponsored
  • Mobile
  • Small Business
  • Development
  • Database
  • Servers
  • Android
  • Apple
  • Innovation
  • Blogs
  • PC Hardware
  • Reviews
  • Search Engines
  • Virtualization
More
    Home Cloud
    • Cloud

    Google Touts Its Cloud Platform for Distributed App Workload Testing

    By
    Jaikumar Vijayan
    -
    July 2, 2015
    Share
    Facebook
    Twitter
    Linkedin
      Google Cloud Platform 2

      Google is making it easier for enterprises to do application load tests at scale using the cloud as test infrastructure.

      Starting this week, organizations will be able to use Google Cloud Platform, application containers and the company’s Kubernetes container cluster management software to test how their infrastructure will hold up under different application workloads.

      The goal is to eliminate the need for organizations to invest in expensive hardware and network infrastructure for conducting load tests, Sandeep Parikh, a Google solution architect said in a post on the company’s cloud platform blog.

      “When load testing your application, you first need to setup and provision compute instances, then deploy and execute load testing software,” Parikh said. While the approach can help organizations gain a baseline understanding of their system needs, a dedicated test infrastructure has limited scalability compared to the cloud, according to Parikh.

      In order to really evaluate how an application and the underlying infrastructure will perform at scale, organizations typically have to keep provisioning new hardware and executing new tests each time for different workloads, he explained.

      Containers and Google’s Kubernetes technology, Parikh asserts, can reduce some of this complexity. Containers can be rapidly scaled, making them a great choice for simulating system clients, he noted.

      Cloud platforms also provide a high degree of elasticity, making it relatively easy for businesses to test applications and services with large numbers of simulated clients. “Containers are an excellent abstraction for running test clients because they are lightweight, simple to deploy, immediately available, and well-suited to singular tasks,” Google said in a technical paper describing its new offering.

      The paper describes how developers can use Google’s Container Engine to deploy a load-testing framework using multiple containers. According to the company, Google Container Engine allows developers to specify the number of container nodes they need to test a specific workload, the number of users to simulate in a test, and the rate at which users should be spawned.

      Developers will be able to see how their test infrastructure performs as the load changes and to measure metrics like the response latency, response failure rates, types of errors and other issues that start cropping up as the workload increases.

      The paper itself shows developers only how to test what Google described as a simple Web application. But organizations can use the same approach to create and run much more complex application workloads, the company said.

      For example, organizations can do distributed load tests for message applications, data stream management system and database systems. Developers will also be able to customize the metrics that are collected during the load tests and use technologies like Google Cloud Monitoring for reviewing performance metrics, the company said.

      Google has not released any pricing information for the new service. Instead, the company pointed developers to its Google Cloud Platform pricing calculator where they can get estimates based on characteristics like the size and scalability of their container cluster test bed.

      Google has posted a tutorial on GitHub with step-by-step instructions for enterprises interested in testing their application workload in the cloud.

      Jaikumar Vijayan
      Vijayan is an award-winning independent journalist and tech content creation specialist covering data security and privacy, business intelligence, big data and data analytics.
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.
      Get the Free Newsletter!
      Subscribe to Daily Tech Insider for top news, trends & analysis
      This email address is invalid.

      MOST POPULAR ARTICLES

      Latest News

      Zeus Kerravala on Networking: Multicloud, 5G, and...

      James Maguire - December 16, 2022 0
      I spoke with Zeus Kerravala, industry analyst at ZK Research, about the rapid changes in enterprise networking, as tech advances and digital transformation prompt...
      Read more
      Applications

      Datadog President Amit Agarwal on Trends in...

      James Maguire - November 11, 2022 0
      I spoke with Amit Agarwal, President of Datadog, about infrastructure observability, from current trends to key challenges to the future of this rapidly growing...
      Read more
      IT Management

      Intuit’s Nhung Ho on AI for the...

      James Maguire - May 13, 2022 0
      I spoke with Nhung Ho, Vice President of AI at Intuit, about adoption of AI in the small and medium-sized business market, and how...
      Read more
      Applications

      Kyndryl’s Nicolas Sekkaki on Handling AI and...

      James Maguire - November 9, 2022 0
      I spoke with Nicolas Sekkaki, Group Practice Leader for Applications, Data and AI at Kyndryl, about how companies can boost both their AI and...
      Read more
      Cloud

      IGEL CEO Jed Ayres on Edge and...

      James Maguire - June 14, 2022 0
      I spoke with Jed Ayres, CEO of IGEL, about the endpoint sector, and an open source OS for the cloud; we also spoke about...
      Read more
      Logo

      eWeek has the latest technology news and analysis, buying guides, and product reviews for IT professionals and technology buyers. The site’s focus is on innovative solutions and covering in-depth technical content. eWeek stays on the cutting edge of technology news and IT trends through interviews and expert analysis. Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more.

      Facebook
      Linkedin
      RSS
      Twitter
      Youtube

      Advertisers

      Advertise with TechnologyAdvice on eWeek and our other IT-focused platforms.

      Advertise with Us

      Menu

      • About eWeek
      • Subscribe to our Newsletter
      • Latest News

      Our Brands

      • Privacy Policy
      • Terms
      • About
      • Contact
      • Advertise
      • Sitemap
      • California – Do Not Sell My Information

      Property of TechnologyAdvice.
      © 2022 TechnologyAdvice. All Rights Reserved

      Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

      ×