Kategorie: Amazon AWS

AWS Updated the AWS Customer Agreement

The AWS Customer Agreement was updated on June 28, 2017.
In this update we are improving the terms of the AWS Customer Agreement related to intellectual property rights. These changes include offering uncapped IP infringement protection and removing the patent non-assert clause. AWS customers do not need to take any action to get the benefit of the updates to the online AWS Customer Agreement. The updates took effect on June 28, 2017, and apply to all customers who use the Services under the online AWS Customer Agreement. AWS Customer Agreement.  
Quelle: aws.amazon.com

Read-replica support for Apache HBase on S3 and Apache Flink 1.3.0 in Amazon EMR release 5.7.0

You can now create read-replica Apache HBase clusters pointed to the same underlying HBase tables in Amazon S3 on Amazon EMR release 5.7.0. Apache HBase is a distributed, non-relational database built for random, strictly consistent realtime access for tables with billions of rows and millions of columns. By using read-replicas, you can increase availability by creating HBase clusters in different Amazon EC2 Availability Zones that read from the same dataset in Amazon S3.
Quelle: aws.amazon.com

AWS CloudFormation adds two new features: Client Request Token and support for Quick-Create links in the CloudFormation console

A Client Request Token will now be assigned to each event triggered by a given stack operation performed in the CloudFormation management console. You can easily identify and track the stack operations using the assigned Client Request Token.
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Introducing Amazon EC2 G3 Instances, the next-generation of GPU-powered instances for graphics-intensive applications

You can now launch G3 instances, the latest generation of Amazon EC2 Accelerated Compute Instances. G3 instances make it easy to procure a powerful combination of GPU, CPU, and host memory for workloads such as 3D rendering, 3D visualizations, graphics-intensive remote workstations, video encoding, and virtual reality applications.
Quelle: aws.amazon.com

Elastic Load Balancing: Support for LCU metrics on Classic Load Balancer

The Classic Load Balancers now support four new metrics in CloudWatch. The metrics allow you to infer your bill if you used the Application Load Balancer for the same traffic profile instead of the Classic Load Balancer. This makes it easy for you to migrate from Classic to the Application Load Balancer.
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The AWS IoT console is now available in Simplified Chinese, French, and Japanese

You can now use the AWS IoT console in English, Simplified Chinese, French, and Japanese. The AWS IoT console is the primary tool for interacting with and monitoring AWS IoT. This includes connecting your devices, diving into thing details, finding key resources, and testing with the MQTT client.
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Amazon RDS for SQL Server Enterprise Edition with License Included Announces Expanded Availability

Amazon RDS now offers SQL Server Enterprise Edition License Included in all AWS commercial regions (non-governmental regions) and on additional instance types, R3 and M4, with a minimum of 4 vCPUs.
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Amazon EC2 Systems Manager Adds Cross-Platform and Multi-Step Document Support

Amazon EC2 Systems Manager now supports cross-platform documents, and now you can use multiple steps of the same type in the same document.
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Amazon CloudWatch Events now supports AWS CodePipeline as a target

We are excited to announce that Amazon CloudWatch Events now supports AWS CodePipeline as a target. Amazon CloudWatch Events enables you to respond quickly to application availability issues or configuration changes that might impact performance or security by notifying you of AWS resource changes in near-real-time. You simply write rules to indicate which events are of interest to your application and what automated action to take when a rule matches an event. You can, for example, invoke AWS Lambda functions or notify an Amazon Simple Notification Service (SNS) topic.
Quelle: aws.amazon.com

Introducing Target Tracking Scaling Policies for Auto Scaling

Auto Scaling now supports a new type of scaling policy called target tracking scaling policies that you can use to set up dynamic scaling for your application in just a few simple steps. Adding Auto Scaling to your application is one way to maximize the benefits of AWS. Auto Scaling helps you build systems that respond to changes in demand by automatically launching or terminating Amazon EC2 instances based on conditions that you define. This dynamic scaling helps to improve application availability and reduce costs. For example, you can use Auto Scaling to automatically launch EC2 instances for your Auto Scaling group when demand increases to help maintain performance, and terminate instances when demand drops to save money.
Quelle: aws.amazon.com