AWS FeedPolicy-as-Code for Securing AWS and Third-Party Resource Types This post was written by Scott Alexander and Kevin Formsma from Mphasis Stelligent. Every day, more developers are having lightbulb moments as they realize they can design and manage their infrastructure. It’s our responsibility, as practitioners of the DevOps mindset, to build systems that allow developers…
AWS FeedBuild, Test, and Deploy a Containerized Application on AWS Graviton2 Using CircleCI By Mark Kriaf, Partner Solutions Architect – AWSBy Laureen Harris, Tech Content Editor – CircleCIBy Angel Rivera, Developer Advocate – CircleCI Arm processors and architectures are becoming widely available as development teams adopt them as compute nodes in many application infrastructures. Organizations…
AWS FeedHow AWS and MongoDB collaborate to unlock the power of Apache Lucene This post was written by Marcus Eagan, Senior Product Manager MongoDB Atlas Search, MongoDB; and Matt Asay, Head of Evangelism, MongoDB. Search is essential to delivering exceptional customer experiences, whether those customers are individuals scouring Amazon.com for a new webcam, or enterprises…
AWS FeedStuff The Internet Says On Scalability For October 4th, 2021 Hey, HighScalability is here again! The circulatory system of the internet. @tylermorganwall Love this Stuff? I need your support on Patreon to keep this stuff going. Sorry for the long gap in posting, but I’ve been building a new app. I’m looking for testers…
AWS FeedJourney to Adopt Cloud-Native Architecture Series: #4 – Governing Security at Scale and IAM Baselining In Part 3 of this series, Improved Resiliency and Standardized Observability, we talked about design patterns that you can adopt to improve resiliency, achieve minimum business continuity, and scale applications with lengthy transactions (more than 3 minutes). As a refresher…
AWS FeedNow use Apache Spark, Hive, and Presto on Amazon EMR clusters directly from Amazon Sagemaker Studio for large-scale data processing and machine learning You can now use open source frameworks such as Apache Spark, Apache Hive, and Presto running on Amazon EMR clusters directly from Amazon SageMaker Studio notebooks to run petabyte-scale data analytics…