Biggest Announcements at AWS re:Invent 2017

The votes are in, and our unbiased analysts all agree on the most important announcement at re:Invent. Let’s start with #5 and work down to #1

#5   Amazon EKS

As expected, AWS announced support for the Kubernetes container orchestration system on top of its Elastic Container Service (ECS). EKS is the AWS managed Kubernetes service. Kubernetes is the gold standard for container orchestration. With EKS, you can deploy web scale applications without the management overhead. EKS takes care of rolling deployments, health checks, auto-healing, and rollbacks. With EKS, you only pay for the instances you use. This delivers an enterprise-grade system to suit the needs of any business.

AWS’s users are clearly interested in running containers and indeed, many of them already ran Kubernetes on top of AWS, but without the direct support of AWS. But with this new service, AWS will manage the container orchestration system for its users. ECS for Kubernetes will support the latest versions of Kubernetes and AWS will handle upgrades and all of the management of the service and its clusters.

#4  Amazon Aurora Serverless    

This will contain all of the capabilities of Aurora, however, it is essentially making database an on-demand resource. For those organizations that have applications with unpredictable, intermittent, or cyclical usage patterns, this pay-by-the-second model will be extremely cost-effective and eliminate the time needed to provision infrastructure ahead of time. Aurora Serverless is available for preview today.

#3  Amazon SageMaker

Amazon SageMaker is the service that is most likely to change everything. It lowers the bar of entry for development of ML models and allows the deployment of models at scale across a variety of environments (to a device like DeepLens for instance). SageMaker allows developers and data scientists to work with data, build algorithm experiments and visualize output. This service vastly increases the number of people who can develop and consume Machine Learning. It is also a fully managed service, so no one has to go build a bunch of infrastructure to get you started. A simple example solution can be created in as little as a one-hour session.

As Randall Hunt, senior technical evangelist at AWS wrote in a blog post:

"Amazon SageMaker is a fully managed end-to-end machine learning service that enables data scientists, developers, and machine learning experts to quickly build, train, and host machine learning models at scale.This drastically accelerates all of your machine learning efforts and allows you to add machine learning to your production applications quickly."

#2   Amazon Neptune

Amazon Neptune is a fast and easy fully-managed graph database service that allows the customer to build and run applications on highly connected datasets. The primary function of Amazon Neptune is to navigate the relationships between these datasets to enable use cases like social applications, recommendation engines, and fraud detection.

#1 Relus Cloud is announced by Andy Jassy!

Among all of the above listed announcements from last week and the several other new innovative and game-changing services & solutions, there was one highlight from re:Invent that we can't forget to mention. Upon AWS CEO Andy Jassy's opening Keynote, he begins by explaining the importance of AWS partners and born-in-the-cloud system integrators that have started making serious waves. Can you guess which AWS Premier Partner he gave a shout out to? Yep...Relus Cloud!

With all of these new and exciting announcements, 2018 will certainly be a busy year. Our team is ready to take your organization to the next level. Get in touch with one of our cloud experts today!