• Skip to primary navigation
  • Skip to main content
Last Week in AWS Logo
Master your cloud costs
  • About
    • Community
    • Contact
  • Blog
  • Newsletter
  • Podcasts
    • Last Week in AWS Podcast
    • Screaming in the Cloud
    • Nominate a Guest
  • Merch
  • Resources
    • AWS Network Map

Screaming in the Cloud

Episode47

Episode 47: Racing the Clouds

02.05.2019
FacebookXLinkedInReddit
Episode 47: Racing the CloudsListen to Episode 47: Racing the Clouds
Corey Quinn HeadshotAbout the Author

Corey is the Chief Cloud Economist at Duckbill, where he specializes in helping companies improve their AWS bills by making them smaller and less horrifying. He also hosts the "Screaming in the Cloud" and "AWS Morning Brief" podcasts; and curates "Last Week in AWS," a weekly newsletter summarizing the latest in AWS news, blogs, and tools, sprinkled with snark and thoughtful analysis in roughly equal measure.

Search Screaming in the Cloud
Listen on Apple Podcasts
Listen on Overcast
Listen on Pocket Casts
Listen on Spotify
Get the RSS Feed

Episode Summary

More and more enterprises and on-prem applications are moving to the Cloud. Therefore, flexibility, agility, time-to-market, and cost effectiveness need to be created to address a lack of visibility and control. Today, we’re talking to Archana Kesavan, senior product marketing manager at ThousandEyes. The company offers a network intelligence platform that provides visibility to Internet-centric, SaaS, or Cloud-based enterprise environments. Our discussion focuses on ThousandEyes’ 2018 Public Cloud Performance Benchmark Report. Some of the highlights of the show include: Purpose of Report: Reveals network performance and architecture connectivity for Amazon Web Services (AWS), Google Cloud (GCP), and Microsoft Azure Report gathered more than 160 million data points by leveraging ThousandEyes’ global fleet of agents that simulate users’ application traffic Data collected during four-week period was ran through ThousandEyes’ global inference engine to identify trends and detect anomalies Internet X factor when calibrating network performance of public Cloud providers; best-effort medium that has no predictability and is vulnerable to attacks AWS’ performance predictability was lower than GCP Cloud and Azure leveraged their own backbones to move user traffic Certain regions, such as Asia, were handled better by GCP and Azure than AWS Customers should understand value of long-distance Internet latency when selecting a Cloud provider Determine what the report’s data means for your business; conduct customized measurements for your environment Links: ThousandEyes ThousandEyes on Twitter ThousandEyes’ Blog 2018 Public Cloud Performance Benchmark Report Amazon Web Services (AWS) Google Cloud Microsoft Azure AWS Global Accelerator for Availability and Performance re:Invent DigitalOcean

Episode Show Notes

More and more enterprises and on-prem applications are moving to the Cloud. Therefore, flexibility, agility, time-to-market, and cost effectiveness need to be created to address a lack of visibility and control.

Today, we’re talking to Archana Kesavan, senior product marketing manager at ThousandEyes. The company offers a network intelligence platform that provides visibility to Internet-centric, SaaS, or Cloud-based enterprise environments. Our discussion focuses on ThousandEyes’ 2018 Public Cloud Performance Benchmark Report.

Some of the highlights of the show include:

  • Purpose of Report: Reveals network performance and architecture connectivity for Amazon Web Services (AWS), Google Cloud (GCP), and Microsoft Azure
  • Report gathered more than 160 million data points by leveraging ThousandEyes’ global fleet of agents that simulate users’ application traffic
  • Data collected during four-week period was ran through ThousandEyes’ global inference engine to identify trends and detect anomalies
  • Internet X factor when calibrating network performance of public Cloud providers; best-effort medium that has no predictability and is vulnerable to attacks
  • AWS’ performance predictability was lower than GCP Cloud and Azure leveraged their own backbones to move user traffic
  • Certain regions, such as Asia, were handled better by GCP and Azure than AWS
  • Customers should understand value of long-distance Internet latency when selecting a Cloud provider
  • Determine what the report’s data means for your business; conduct customized measurements for your environment  

Links:

  • ThousandEyes
  • ThousandEyes on Twitter
  • ThousandEyes’ Blog
  • 2018 Public Cloud Performance Benchmark Report
  • Amazon Web Services (AWS)
  • Google Cloud
  • Microsoft Azure
  • AWS Global Accelerator for Availability and Performance
  • re:Invent
  • DigitalOcean

.

You might also like

More Podcast Episodes

AI Should Solve the Problem, Not Deflect the Customer

Screaming in the Cloud
10.06.2026
31 Minutes
Play Episode

Open Source and the Future of Databases with German Eichberger

Screaming in the Cloud
09.24.2026
24 Minutes
Play Episode

The Invisible Network Powering AWS with Matt Rehder

Screaming in the Cloud
09.10.2026
37 Minutes
Play Episode

Get the Newsletter

Reach over 30,000 discerning engineers, managers, enthusiasts who actually care about the state of Amazon’s cloud ecosystems.

Gnarly cloud cost questions?

Good news: we’ve got answers (and coffee). Meet the Duckbill team for personalized advice on your thorniest AWS challenges.

Sign up for Office Hours
You’re faced with tough questions about cloud costs. You should have confident answers.
Get in touch.
  • Newsletter
  • Podcasts
  • Blog
  • Merch
  • About
  • Contact
  • Disclosures
Billie Footer
footprint-orange
© 2026 L9 Labs, Inc. All Rights Reserved.
Terms of Service Privacy Policy Cookie Policy