CTT Big4 News AWS Recently #AWS002

CTT Big4 News AWS Recently #AWS002

Hello Friends, welcome to CTT News – Big4 Recently

AWS, IBM, Google & Azure – the Big4 Cloud Service providers are improving and introducing very frequently and it is hard to keep up to date ourselves without single source of information. Hence, in this series, we intend to address most important recent news of Big4 Cloud Platforms. You may save your valuable time by not searching recent updates of these cloud platforms from different individual websites. We hope, you will find this series interesting. Please visit specific Cloud provider news that you are interested in as following.

In this article, we will explore latest AWS Recently. Following are the latest news from AWS.

Amazon EC2 Spot C5 and M5 Instances, now Lets you Pause and Resume Workloads

Recently AWS has enhanced its C5 and M5 EC2 spot instances to support hibernation. This means these instances will behave like Laptop hibernation, you can resume your work anytime going forward. When these instances are recovered from hibernation, content in RAM, mount point, instance ID everything will be restored to previous state. Importantly, AWS will not charge you for the hibernation duration.

Note, Hibernation has been available for C3, C4, M4, R3 and R4 instance families since Nov 28, 2017.

Amazon ECS supports Docker 17.09 from 19-Jan-18

AWS Elastic Container Service now supports Docker version 17.09.01-ce. The Amazon ECS-optimized Amazon Machine Image (AMI) now includes the ECS Agent 1.16.2 as well as Docker version 17.09.01-ce.

Want to explore Docker version 17.09.01-ce, please visit Docker release notes.

Amazon Aurora PostgreSQL Update

Introduction of Encrypted Snapshot Import : AWS Aurora now supports importing encrypted snapshot from PostgreSQL. This will allow you to maintain encryption of your data while moving from Amazon RDS into Amazon Aurora.

Read Replica for AWS Aurora : You can now create Amazon Aurora PostgreSQL read replica for an Amazon RDS for PostgreSQL instance, allowing you to continuously replicate to Amazon Aurora PostgreSQL. This helps you minimize downtime when migrating a live workload from Amazon RDS for PostgreSQL to Amazon Aurora PostgreSQL.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security.

Amazon EBS Improves Performance for io1 Volumes

Last month, AWS introduced an improvement in performance of Provisioned IOPS SSD (io1) Volumes from 20,000 IOPS to 32,000 IOPS and from 320 MB/s to 500 MB/s of throughput per volume.

This feature is available in all AWS regions where EBS is offered at no additional cost.

AWS Key Management Service now Supports AWS PrivateLink

Now, AWS Key Management Service (KMS) supports AWS PrivateLink, enabling you to route data between your VPC and KMS entirely within the AWS network. This means total security and your stored credential in KMS will never touch internet boundary.

AWS services from Amazon Virtual Private Cloud (VPC) can be privately accessed, without using public IPs, and without requiring the traffic to traverse across the Internet with help of PrivateLink.

AWS Deep Learning AMIs include new Model Serving Capabilities

The AWS Deep Learning AMIs are a quick and easy way to get started with machine learning. The AMIs with Source Code now come with TensorFlow 1.5.0-rc1 which supports NVidia CUDA 9 and cuDNN 7 drivers that take advantage of the V100 Volta GPUs powering the EC2 P3 instances. The Conda-based Deep Learning AMIs now come with the latest framework versions of Caffe, Keras 2.1.3, Microsoft Cognitive Toolkit 2.3.1, and Theano 1.0. The Conda-based AMIs also include TensorBoard for monitoring and debugging a TensorFlow model, and TensorFlow Serving to export TensorFlow models and create a server running a gRPC service for serving the model. Apache MXNet users can now benefit from the MXNet Model Server to quickly deploy an HTTP-based inference API for their models.

Feel free to visit next week for more AWS news. Also, if you are interested in other Big4 Cloud Service Providers  e.g. GCP , IBM Cloud and Azure then, visit links mentioned above.

Author: Dhrubo

I am passionate about sharing Knowledge , Information and wisdom what ever way is possible. This is small contribution to our society from my part. I am a Programmer and love to architect and modernize IT infrastructure / solution / applications for my clients.

I am sharing my experience what I have gained so far via CTT and will keep doing so in regular basis. This is the whole purpose of founding this Knowledge Center for Cloud Technologies.

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