Last year was an exciting year for AWS and us. New services were announced, re:Invent was bigger than ever, and we able to help hundreds of customers leave those legacy data centers behind and move to the cloud. From big data to DevOps, we’ve highlighted a few of our favorites below in our top 10 AWS blog posts of 2016!
We had a great time at re:Invent 2016 sending nearly half of our AWS cloud services team to take part in the action. From new AWS releases to our favorite educational sessions, here are our tech team’s top AWS re:Invent 2016 highlights.
Having trouble championing cloud adoption in your organization? Watch our subject matter experts Stephen Garden, VP of Cloud Services and Alex Capehart, Head of Sales discuss how to get your team on board and using the cloud to grow your business.
While we think it can be wise to build a multi-regional architecture in AWS for global applications, it’s not always as simple as you think. Here are four reasons you should consider prior to building a multi-regional AWS presence.
When trying to achieve HIPAA compliance in any environment, there are some basics that an organization should implement to comply with regulations. This article will offer some suggestions and best practices on how to achieve and maintain HIPAA compliance in AWS.
This tutorial is for those who are interested in exploring big data sets in the cloud using Amazon EMR and Zeppelin. It summarizes the steps to follow for successful experimentation with Zeppelin, Phoenix, and HBase on Amazon EMR.
This whitepaper is intended for big data architects, data engineers, data integrators, and system operations administrators faced with the challenge of orchestrating and Extracting, Transforming, and Loading (ETL) vast amounts of data from across the enterprise and/or external data sources. This whitepaper will also help familiarize readers with AWS Data Pipeline by sharing an overview, best practices, and hands-on examples.
AWS helps you build and deploy big data analytics applications, so you can rapidly scale any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing. Read this AWS blog post to learn more about big data on AWS.
Lambda architecture can be used as a framework for designing enterprise big data architectures that are resilient, highly available, distributed, and pluggable. This AWS blog post discusses the benefits of a lambda architecture for big data analytics and how to build it in AWS.
In this whitepaper you will learn how CI/CD on AWS makes it easier for DevOps teams to build, test, and deploy apps in the cloud. It highlights, the AWS services and features that can be leveraged to implement continuous integration and continuous delivery for the application development cycle. It also provides an overview, the stages involved, benefits of CI/CD, and hands-on examples. The techniques described allow users to scale applications while continuously integrating and deploying application changes that may be incurred.
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