Amazon RDS Performance Insights, an advanced database performance monitoring feature, now supports additional counter metrics on Amazon Aurora with PostgreSQL compatibility. With counter metrics, you can customize the Performance Insights dashboard to include up to 10 additional graphs that show a selection of dozens of operating system and database performance metrics. This information can be correlated with database load to help identify and analyze performance problems.
Today, AWS IoT Analytics added support for AWS CloudFormation with templates for data ingestion and analytical patterns. CloudFormation provides a common language for you to describe and provision all the infrastructure resources in your cloud environment and simplifies the roll out across multiple AWS accounts and/or regions with just a couple of clicks.
Three new features for AWS ParallelCluster, available today, will help customers further simplify the process of creating and managing HPC clusters on Amazon Web Services (AWS).
AWS Batch Support: Customers can now use AWS Batch as a job scheduler in AWS ParallelCluster and submit distributed computing jobs through AWS ParallelCluster to AWS Batch. AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch also supports scheduling multi-node parallel jobs, enabling customers to efficiently run single jobs that span multiple Amazon EC2 instances.
Amazon Elastic File System (EFS) integration: AWS ParallelCluster now supports native configuration for EFS to further enhance storage and file management features. Users can create and/or mount EFS directly from AWS ParallelCluster without a post-install script.
RAID Array Configuration Support: AWS ParallelCluster customers can now easily create a RAID 0 or RAID 1 array for use with their HPC cluster. RAID 0 combines multiple drives into a single drive to provide enhanced I/O performance, while RAID 1 combines multiple drives into a single drive for better fault tolerance. RAID arrays can be created from up to 5 Amazon Elastic Block Store (EBS) volumes.
AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications. AWS ParallelCluster is released via the Python Package Index (PyPI). AWS ParallelCluster’s source code is hosted under the Amazon Web Services repository on GitHub. Learn how to launch an HPC cluster using AWS ParallelCluster here.
AWS Direct Connect is now live at two new locations in Silicon Valley and Stockholm. In Silicon Valley, AWS Direct Connect launched its third location at CoreSite SV2, Milpitas. This location is the first new location that offers logical redundancy over a single virtual interface (VIF) on a Direct Connect connection, a new capability launched last month. Logical redundancy can reduce downtime when a BGP peering session goes down due to a device failure or maintenance activity on the AWS side. CoreSite SV2, Milpitas can be found under its associated home region of US West (N. California). With Direct Connect Gateway and global public VIFs, customers can access their resources in any global AWS Region (except China).
The AWS Price List API provides you with the ability to query for the current and historical prices of AWS services, as well as receive alerts via Amazon SNS when pricing changes are detected.
Amazon Connect now provides a new contact API that lets you programmatically retrieve contact attributes for a given contact. Contact attributes are key-value pairs of data about a contact, such as the name of the caller, why they called, or the quality of service they received. Contact attributes can be stored using contact flow blocks or by API. For example, for a given contact, you might choose to set contact attributes to indicate why the customer was calling or how their issue was resolved. If the customer calls back, you can now use the new contact API to load the attributes associated with their previous contact in order to personalize the IVR experience or route them to an appropriate queue.
You can now use AWS Shield Advanced to get higher levels of DDoS protections for your applications running on the recently announced AWS Global Accelerator. Simply enable AWS Shield Advanced protection on your Accelerator. AWS Shield Advanced will automatically detect the type of AWS resource behind the Accelerator and apply the relevant advanced DDoS protections.
Starting today, AWS Batch supports running workloads on P3dn instances.
Today, we released the Amazon DynamoDB key diagnostics library, which provides near-real-time key usage information for DynamoDB. This library is a lightweight, client-side utility that can help you to analyze your table's traffic and display visualizations that show the number of reads and writes to each partition key. By using the library, you can adjust to unpredictable and uneven workloads in near-real time. To learn more about the library, how to set it up, and to identify hot keys, see How to use the new Amazon DynamoDB key diagnostics library to visualize and understand your application’s traffic patterns.
The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with newer versions of the following deep learning frameworks: PyTorch 1.0, MXNet 1.3.1, and Chainer 5.1. This release also includes upgrades of the NVIDIA stack, including CUDA 10, cuDNN 7.4.1, and NCCL 2.3.7. For GPU-based training, PyTorch 1.0 in the AMIs is fully configured to take advantage of performance improvements in CUDA 10.
Amazon SageMaker Automatic Model Tuning now supports early stopping of training jobs. With early stopping, training jobs will be automatically stopped during hyperparameter tuning when it becomes evident that they aren't likely to improve model accuracy. Early stopping will reduce your costs for hyperparameter tuning.
AWS Step Functions is now available in the EU (Paris) region. AWS Step Functions is a workflow automation service that allows you to build and update applications quickly.
AWS Step Functions is now available in the South America (Sao Paulo) region. AWS Step Functions is a workflow automation service that allows you to build and update applications quickly.
AWS customers can now access Amazon Simple Queue Service (Amazon SQS) from their Amazon Virtual Private Cloud (Amazon VPC) using VPC endpoints, without using public IPs, and without needing to traverse the public internet. VPC endpoints for Amazon SQS are powered by AWS PrivateLink, a highly available, scalable technology that enables you to privately connect your VPC to supported AWS services.
AWS Systems Manager now enables customers to use Automation at scale using a pay-per-use model. The existing limit of 25,000 basic steps will be increased to a new free tier of 100,000 basic steps per account per month.
This Quick Start automatically deploys TIBCO Data Science on the Amazon Web Services (AWS) Cloud in about 80 minutes. This deployment guide is for infrastructure architects and TIBCO administrators who want to quickly deploy a TIBCO Data Science system in a fault-tolerant configuration across AWS Availability Zones.
AWS Transit Gateway is now available in 8 additional AWS Regions in the Americas, Europe, and Asia Pacific: Canada (Central), EU (London), EU (Frankfurt), EU (Paris), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Seoul), and Asia Pacific (Sydney).
AWS Transit Gateway enables customers to connect thousands of Amazon Virtual Private Clouds (VPCs) and their on-premises networks using a single gateway. As you grow the number of workloads in AWS across multiple accounts, you need to scale your networks, control your connectivity policies better, and monitor your network effectively. Today, you can connect pairs of Amazon VPCs using VPC peering. However, managing point-to-point connectivity across large number of Amazon VPCs, without centrally managing connectivity and routing policies, can be operationally costly and cumbersome. This solution can be hard to manage hundreds of Amazon VPCs.
With AWS Transit Gateway, you only have to create and manage a single connection from a central gateway to each Amazon VPC, on premises data center, or remote office. AWS Transit Gateway acts as a hub where traffic is routed to all the connected networks, the spokes. This hub and spoke model significantly simplifies management and reduces operational costs because each network only has to connect to the AWS Transit Gateway. With effective routing policies on the Transit Gateway, you have centralized control over how your Amazon VPCs and on-premises networks connect to each other. This connectivity model makes it easy and simple for you to scale and monitor your networks over time.
Amazon Neptune is now available in the Asia Pacific (Singapore) region.
Starting today, AWS Batch is available in the Europe (Paris) AWS Region.
AWS Storage Gateway released various feature enhancements to File Gateway, including increased performance, the option to selectively refresh portions of the gateway’s cache, and the ability to configure DNS and NTP settings.
AWS is announcing the immediate availability of the new AWS Europe (Stockholm) Region. The Stockholm Region joins Frankfurt, Ireland, London and Paris as the fifth AWS Region in Europe, and the 20th AWS Region worldwide. The AWS Europe (Stockholm) Region consists of three Availability Zones and with this launch, the AWS Global Infrastructure now offers 60 Availability Zones worldwide, serving customers in over 190 countries. The new AWS Europe (Stockholm) Region adds to the existing infrastructure AWS already has in the Nordics, which includes three Edge Network Locations in Sweden, and one each in Finland, Denmark and Norway, for customers looking to deliver websites, applications, and content to end users with low latency.
Amazon Elastic Container Service for Kubernetes (EKS) now performs managed, in-place cluster upgrades for Kubernetes versions. Additionally, Amazon EKS now supports Kubernetes version 1.11.5.
You can now set a lifecycle policy to delete objects from AWS Elemental MediaStore containers after a minimum of one day. This lets you automatically delete the video segments that make up your live streams after a period of time that you define, helping optimize your storage footprint and minimize cost.