Deep Learning AMI release v1.2 for Ubuntu and Updated AWS CloudFormation Template Now Available

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. 
Quelle: aws.amazon.com

Amazon ElastiCache Launches Enhanced Redis Backup and Restore with Cluster Resizing

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.
Quelle: aws.amazon.com

AWS Step Functions Adds Customized Error Handling for AWS Lambda Functions

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. 
Quelle: aws.amazon.com

Amazon CloudWatch Events Service is now available in Canada (Central) AWS region.

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/. 
Quelle: aws.amazon.com

AWS Direct Connect joins growing list of HIPAA-eligible services from AWS!

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.
Quelle: aws.amazon.com