Latest News

17Aug 2017

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. 

17Aug 2017

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. 

17Aug 2017

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. 

16Aug 2017

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. 

16Aug 2017

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.

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