Amazon EC2 G3 Instances Now Available in Asia Pacific (Japan), Asia Pacific (Sydney), Asia Pacific (Singapore), and EU (Frankfurt) Regions
Amazon EC2 G3 Instances, the latest generation of Amazon EC2 Accelerated Compute Instances, make it easy to procure a powerful combination of GPU, CPU, and host memory. Backed by the NVIDIA Tesla M60 GPUs, G3 instances offer double the CPU power per GPU, and double the host memory per GPU when compared to the most powerful GPU cloud instance available today. This makes G3 instances ideal for workloads such as 3D rendering, 3D visualizations, graphics-intensive remote workstations, video encoding, and virtual reality applications.
AWS 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. Step Functions is a reliable way to coordinate components and step through the functions of your application.
AWS is pleased to release a major update to the SQL Server Quick Start to support SQL Server version 2016.
You can now provision Amazon DynamoDB Accelerator (DAX) clusters using AWS CloudFormation, a service that allows you to easily provision, manage and update a collection of related AWS resources. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second.
Amazon EC2 P2 Instances are now available in Asia Pacific (Mumbai), Asia Pacific (Singapore) and Europe (Frankfurt) Regions
We are excited to announce that Amazon EC2 P2 instances are now available in the Asia Pacific (Mumbai), Asia Pacific (Singapore) and Europe (Frankfurt) Regions.
AWS Budgets lets customers set custom budgets and receive alerts if their costs or usage exceed (or are forecasted to exceed) their budgeted amount.
Amazon Route 53 now supports CAA records.
Amazon EC2 Systems Manager Adds a New Amazon CloudWatch Events Target, Association Versioning for State Manager, and Approve Action for Automation
Amazon EC2 Systems Manager State Manager can now be used to trigger Amazon CloudWatch Events, Automation can be used as a CloudWatch Events target, you can now keep track of State Manager association changes, and you can use the new approve action type in Automation.
Amazon SES announces the availability of functionality to create groups of dedicated IP addresses for your email sending activities. The introduction of dedicated IP pools makes it possible to specify which dedicated IP address to use for a specific email by allowing you to send emails from specific IP addresses.
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. Today we have added a built-in integration that allows you to send streaming data from Kinesis Streams to Kinesis Firehose by configuring your stream as a data source to Kinesis Firehose using the console or API. You can now create and configure a Firehose delivery stream to automatically read data from your Kinesis streams and then deliver the data to destinations. This makes it easy for you to persist data in your streams to data stores such as Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service.
AWS CodeStar provides a unified user interface, enabling you to easily manage your software development activities in one place. With AWS CodeStar, you can set up your entire continuous delivery toolchain in minutes, allowing you to start releasing code faster. With AWS CodeStar, you can easily track progress across your entire software development process, from your backlog of work items to your team’s recent code deployments.
Starting today, customers can access the redesigned Cost Explorer interface, which sits on top of a newly-optimized backend querying engine. Customers can now take advantage of a more robust, and performant filtering experience that has been enhanced to allow customers greater flexibility over the information they include or exclude from their analyses. For example, customers can create a view that only includes costs associated with EC2 instance running hours in Availability Zone “us-east-1a” but does not include costs associated with instance types in the m4 family. Customers also benefit from a new consolidated date picker that lets them choose a custom or preset time range (e.g., month-to-date), while also allowing them to forecast forward over user-defined intervals. Once customers reach a view that they would like to refer back to, they can use the improved report management functionality to save up to 50 custom reports per account.
AWS Directory Service for Microsoft Active Directory (Enterprise Edition) is now available in the US West (N. California) Region
AWS Directory Service for Microsoft Active Directory (Enterprise Edition), also known as AWS Microsoft AD, is now available in the US West (N. California) Region.
Amazon Cognito is now available in the Asia Pacific (Singapore) region.
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and resource requirements of jobs submitted to job queues. With AWS Batch, there is no need to install and manage batch computing software or server clusters, allowing you to instead focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads which run on Amazon EC2 and Spot Instances.
Amazon EC2 Systems Manager Adds New Maintenance Window Task Types for Automation, AWS Step Functions, and AWS Lambda
Amazon EC2 Systems Manager now supports Systems Manager Automation, AWS Step Functions, and AWS Lambda maintenance window task types, allowing you to schedule complex workflows across your AWS resources.
VPC Endpoints for DynamoDB enables you to have all network traffic between your Amazon Virtual Private Cloud (VPC) and Amazon DynamoDB stay within the AWS cloud instead of traversing the public internet.
Amazon GameLift’s FlexMatch lets you match players together based on rules you define. Whether you choose to build your matchmaking based on player skill, latency, or some other custom criteria, FlexMatch’s simple but powerful rules language makes it easy for anyone to quickly create robust player matchmaking.
You can now use the AWS Glue Data Catalog as the metadata repository for Amazon Redshift Spectrum. The AWS Glue Data Catalog provides a central metadata repository for all of your data assets regardless of where they are located.
Amazon Virtual Cloud (VPC) now provides customers an opportunity to recover EIPs that they might have released accidentally. The released EIPs are available for recovery as long as they are not assigned to a different customer. The sooner customers try to recover their EIPs, the better are the chances of recovering them. Customers can recover their EIPs via CLI by using the allocate-address command and specifying the IP address using the --address parameter.
Amazon Lex is now integrated with AWS CloudTrail, a service that enables you to log, continuously monitor, and retain events related to API calls across your AWS infrastructure, to provide a history of API calls for your account. Amazon Lex API calls are captured from the Amazon Lex console or from your API operations using the SDKs directly. Your Amazon Lex API calls are delivered to an Amazon S3 bucket with your other AWS service records. Using the information collected by AWS CloudTrail, you can track requests made to Amazon Lex including the origination of the request, such as source IP address, the date and time the request was made, and the parameters requested.
The AWS Tools for Microsoft Visual Studio Team Services (VSTS) is an extension for Microsoft VSTS and on-premises Microsoft Team Foundation Server (TFS) that makes it easy to deploy .NET applications to AWS. If you already use Microsoft VSTS or TFS, the AWS Tools for VSTS makes it easy to deploy your code to AWS without changing how you run your project, organize your builds, and track your work.
You can now use the AWS Glue Data Catalog with Apache Spark and Apache Hive on Amazon EMR. The AWS Glue Data Catalog is a managed metadata repository that is integrated with Amazon EMR, Amazon Athena, Amazon Redshift Spectrum, and AWS Glue ETL jobs. Additionally, it provides automatic schema discovery and schema version history. You can choose to use the AWS Glue Data Catalog to store external table metadata for Hive and Spark instead of utilizing an on-cluster or self-managed Hive Metastore. This allows you to more easily store metadata for your external tables on Amazon S3 outside of your cluster.
Introducing AWS Glue: A Simple, Flexible, and Cost-Effective Extract, Transfer, and Load (ETL) Service
Today we announced the general availability of AWS Glue, a new, fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. With a few clicks in the AWS Management Console, customers can create and run an ETL job. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once catalogued, your data is immediately searchable, queryable, and available for ETL. AWS Glue generates the code for you to execute your data transformations and loading processes.
Amazon Elastic File System (EFS) now allows you to encrypt your data at rest using keys managed through AWS Key Management Service (KMS). Encryption and decryption are handled seamlessly, so you don’t have to modify your applications to access your data.