Renato Losio

Cloud Architect & Advisor, AWS Data Hero, InfoQ Editor, Speaker, Remote

  • #DevOpsCon and #SLAcon 2023

    #DevOpsCon and #SLAcon 2023

    April 17, 2023
    cloud

    Next week I will be back in London as a speaker at #DevOpsCon and #SLAcon. I am very much looking

  • AWS Heroes in Conversation: Drawing the NYC Skyline with Aurora Serverless v2

    AWS Heroes in Conversation: Drawing the NYC Skyline with Aurora Serverless v2

    April 6, 2023
    cloud

    This week I joined Namrata Shah for an episode of the series “AWS Heroes in Conversation”. I showed how to draw the NYC Skyline with Aurora Serverless v2.

  • Unlocking the Secrets of the Magic Number 35

    Unlocking the Secrets of the Magic Number 35

    March 19, 2023
    cloud

    The maximum automatic backup retention period on RDS and many other cloud services is 35 days. But what is so special about 35?

  • Serverless Panel: Data & Databases

    Serverless Panel: Data & Databases

    February 21, 2023
    cloud

    Serverless Guru Panel: Data & Databases. See why Databases are the “next frontier” with Special Guest Renato Losio

  • My Journey Through the AWS Blog: Lessons Learned and Random Statistics

    My Journey Through the AWS Blog: Lessons Learned and Random Statistics

    January 26, 2023
    cloud

    Last week I checked the (primary) AWS blog. I went through all the articles from the welcome post in 2004 until the very last one

  • The Best AWS re:Invent Ever? Looking Back at Eleven Editions

    The Best AWS re:Invent Ever? Looking Back at Eleven Editions

    January 13, 2023
    cloud

    There is no year that I do not read many “This was the best re:Invent ever!” comments, posts, or articles in the weeks after the AWS conference in Las Vegas. While it is likely true in terms of fun, the number of announcements, or personal networking, I tend to think we are biased by the…

  • Amazon Athena Supporta Apache Spark

    Amazon Athena Supporta Apache Spark

    January 12, 2023
    italian

    Amazon Athena supporta ora il sistema di elaborazione distribuito open-source Apache Spark per eseguire carichi di lavoro di analisi veloci.

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