The fifth annual AWS re:Invent was held this year from November 28th to December 2nd with a total of 32,000 attendees and 50,000 watching via live streaming. Over two of those days alone, 29 new features and services were announced. To cover the highlights and top trends from the show, DataCore Tech Evangelist, Todd Mace and Senior Director of Product Marketing, Sushant Rao covered the highlights and top trends from the show in a webinar recently.
Some of the top announcements from Amazon at re:Invent included:
- AWS Athena, a query service to analyze data in Amazon S3 using SQL
- Three new AI services that incorporate deep learning technologies including Amazon Lex for creating conversational interfaces for text and voice applications; Amazon Polly text to speech service; and Amazon Rekognition for image recognition.
- The ability for ECS Elastic GPUs to be added EC2 instances
- AWS Lightsail, providing the ability to launch and manage a virtual private server with AWS
- Blox, an open source scheduler for Amazon ECS
- Amazon Aurora is now PostgreSQL compatible
- AWS Greengrass, a software that lets users run local compute, messaging and data caching for the Internet of Things (IoT)
- VMware on AWS Cloud
Also during the webinar, Todd Mace provided a brief overview of Amazon Migration Services – AWS Snowball Edge, a petabyte-scale data transfer service with on-board storage and computer, as well as AWS Snowmobile, an Exabyte-scale data transfer service used to move extremely large amounts of data.
So, how does DataCore fit into Amazon AWS? Several current use case examples include:
- AWS Disaster Recovery and High Availability: There are two ways for someone to migrate, replicate, move or backup data between an on-premises DataCore installation and an Amazon service. 1.) Using AWS Storage Gateway Appliance. 2.) Migrate data to AWS using DataCore’s replication functionality.
Read this blog post for additional information on DataCore & AWS Disaster Recovery Strategies.
- EC2 Instance Performance Enhancements: As a direct result of DataCore’s Parallel I/O technology on Amazon EC2 instances, there is an average 75x improvement in response time and 62x average improvement in IOPs.
For more information on the performance enhancements of implementing DataCore on EC2 instances, read this blog post from Jeff Slapp, DataCore’s director, systems engineering and solution architecture.
To hear more details on the news from the show, listen to the full webinar here: https://www.brighttalk.com/webcast/11531/237991