--- title: "Episode 47: Racing the Clouds" id: "9783" type: "podcast" slug: "episode-47-racing-the-clouds" published_at: "2019-02-06T07:00:00+00:00" modified_at: "2023-03-06T18:40:26+00:00" url: "https://www.lastweekinaws.com/podcast/screaming-in-the-cloud/episode-47-racing-the-clouds/" markdown_url: "https://www.lastweekinaws.com/podcast/screaming-in-the-cloud/episode-47-racing-the-clouds.md" taxonomy_shows: - "Screaming in the Cloud" --- About 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. [https://podcasts.apple.com/us/podcast/screaming-in-the-cloud/id1361244178](https://podcasts.apple.com/us/podcast/screaming-in-the-cloud/id1361244178) [https://overcast.fm/itunes1361244178/screaming-in-the-cloud](https://overcast.fm/itunes1361244178/screaming-in-the-cloud) [https://pca.st/7l2e](https://pca.st/7l2e) [https://open.spotify.com/show/3fBA9eNkGliCzp3Xuy1GVd](https://open.spotify.com/show/3fBA9eNkGliCzp3Xuy1GVd) [https://feeds.transistor.fm/screaming-in-the-cloud](https://feeds.transistor.fm/screaming-in-the-cloud) ## 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 & Transcript 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](https://www.thousandeyes.com/) - [ThousandEyes on Twitter](https://www.twitter.com/thousandeyes) - [ThousandEyes’ Blog](https://blog.thousandeyes.com/) - [2018 Public Cloud Performance Benchmark Report](https://www.thousandeyes.com/resources/2018-public-cloud-performance-benchmark-report) - [Amazon Web Services (AWS)](https://aws.amazon.com/) - [Google Cloud](https://cloud.google.com/) - [Microsoft Azure](https://azure.microsoft.com/en-us/) - [AWS Global Accelerator for Availability and Performance](https://aws.amazon.com/blogs/aws/new-aws-global-accelerator-for-availability-and-performance/) - [re:Invent](https://reinvent.awsevents.com/) - [DigitalOcean](https://do.co/screaming) . 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