You can now use upgraded versions of Apache MXNet, TensorFlow, CNTK, and Caffe, on the AWS Deep Learning AMI v1.2 for Ubuntu, including Keras, available in the AWS Marketplace. The Deep Learning AMI v1.2 for Ubuntu is designed to continue to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. The latest MXNet release (v0.9.3), included with this AMI v1.2, adds several enhancements including a faster new image processing API that enables parallel processing, improved multi GPU performance, and support for new operators. This AMI includes the following framework versions: Apache MXNet: v0.9.3; Tensorflow v1.0.0; Caffe release: rc5; Theano: rel 0.8.2; Keras: 1.2.2; CNTK: v2.0 beta12.0; and Torch: master branch. The Deep Learning AMI includes Jupyter notebooks with Python 2.7 and Python 3.4 kernels, Matplotlib, Scikit-image, CppLint, Pylint, pandas, Graphviz, Bokeh Python packages, Boto and Boto 3 and the AWS CLI. The DL AMI also comes packaged with Anaconda 2 and Anaconda 3 Data Science platform. You can start using the Deep Learning AMI release v1.2 in the AWS Marketplace, today.
We are excited to announce that Amazon ElastiCache now supports enhanced Redis Backup and Restore with Cluster Resizing. In October 2016, we launched support for Redis Cluster with Redis 3.2.4. In addition to scaling your Redis workloads across up to 15 shards with 3.5TiB of data, it also allowed creating cluster-level backups, which contain snapshots of each of the cluster’s shards. With this launch, we are adding the capability to restore a backup into a Redis Cluster with a different number of shards and slot distribution, allowing you to resize your Redis workload. ElastiCache will parse the Redis key space across the backup’s individual snapshots, and redistribute the keys in the new Cluster according to the requested number of shards and hash slots. Your new cluster can be either larger or smaller in size, as long as the data fits in the selected configuration.
Amazon WorkDocs now provides an Activity Feed so that you can easily track all activities related to your files and folders, and stay connected to what’s going on.
AWS Step Functions now gives you more flexibility in how AWS Lambda function error messages are handled in your workflow so you can improve the resiliency of serverless applications. Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. With Step Functions, you can create state machines to orchestrate multiple Lambda functions and build multi-step serverless applications.
We are pleased to announce the launch of our newest edge location in Zurich, our first edge location in Switzerland.
Today, we are announcing enhancements to Amazon EC2 Reserved Instances (RIs) that make them more flexible and easy to use, helping you get the most out of your RI discount.
We are excited to announce the immediate availability of CloudWatch Events in our Canada (Central) region. The Canada (Central) region provides you with a new option for end users and applications benefiting from infrastructure located in Canada. With this new region, CloudWatch Events is now operating fifteen regions worldwide, bringing the total number of AWS Availability Zones to 40. You can learn more about our growing global infrastructure footprint at our Global Infrastructure page: https://aws.amazon.com/about-aws/global-infrastructure/.
AWS has expanded its HIPAA compliance program to include AWS Direct Connect as a HIPAA Eligible Service. With the addition of Direct Connect, if you have an executed Business Associate Agreement (BAA) with AWS you can now transfer large amounts of data, including Protected Health Information (PHI), into and out of AWS in a cost-effective manner designed for your security. AWS Direct Connect offers several benefits for customers: it lowers bandwidth costs out of AWS (which is valuable for applications that have bulk data transfer requirements), it offers more consistent network performance over Internet-based connections for applications that require real-time data feeds, and it provides an alternative means to connect to the AWS cloud for customers who may have security or compliance policies that prevent VPN connectivity to the cloud.
Amazon Aurora is now available to customers in the AWS US West (N. California) region. This increases the number of available regions to eleven, giving you another option for database placement, availability and scalability.
Starting today, you can launch t2.small instances when using Amazon Aurora. The on-demand pricing for t2.small is half that of t2.medium, which was previously announced in November 2016. T2 instances are a cost-effective option for development/test environments and light production workloads. You can run your database on r3 class instances for larger-scale production deployment.