This Quick Start automatically deploys a modular, highly available environment for Amazon Redshift on the Amazon Web Services (AWS) Cloud.

You can now install external Python libraries on EMR clusters at runtime using EMR Notebooks. Before this feature, you had to use a bootstrap action or use a custom AMI to install additional libraries not packaged with the AMI before you launched the EMR cluster. This feature allows you to import your preferred libraries and use them to build your Spark application, analyze data, and visualize the results from within your notebook. The Python libraries you install using EMR Notebooks are isolated to the notebook session and will not interfere with existing libraries on the EMR cluster. You can import these libraries from either public or private PyPI repositories. Please visit Using Notebook-scoped Libraries to learn more about this feature.

This feature is available starting EMR release 5.26.0.

EMR Notebooks is is available in the US East (N.Virgina and Ohio), US West (N.California and Oregon), Canada (Central), EU(Frankfurt, Ireland, and London), and Asia Pacific (Mumbai, Seoul, Singapore, Sydney, and Tokyo) regions

 

Amazon Redshift Advisor now recommends the most appropriate distribution key for frequently queried tables to improve query performance. The Advisor generates tailored recommendations by analyzing the cluster’s performance and query patterns. You can then use the ALTER TABLE ALTER DISTKEY command to add or modify the distribution key of a table, without impacting concurrent read or write queries.

Amazon EMR has introduced a new account level configuration called Block Public Access to help administrators secure their EMR clusters from unrestricted public-network access. You can enable this configuration and prevent your account users from launching clusters with security group rules that open ports for inbound traffic from IPv4 0.0.0.0/0 or IPv6 ::/0. You can configure exceptions in Block Public access configuration to allow public access on a port or range of ports before you launch EMR clusters. Please visit Using Amazon EMR Block Public Access configuration to learn more.

This feature is available now in the US East (N.Virgina and Ohio), US West (N.California and Oregon), Canada (Central), EU(Frankfurt, Ireland, London, Paris and Stockholm), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, and Tokyo), and South America (Sao Paulo) regions.

Amazon AppStream 2.0 now supports local file system redirection with the AppStream 2.0 client for Windows. This feature lets your users seamlessly open or save files on their local computer from within their streaming session. To use this feature, users link the local drives and folders that they want to access from within their streaming session. After their local drives and folders are linked, users can access these resources in File Explorer when performing file system operations such as File Open, File Save, and File Save As.This feature is only available through the AppStream 2.0 client for Windows. There are no additional charges for this feature. To learn more, see Enable File System Redirection for Your AppStream 2.0 Users

Today, AWS Systems Manager announces the release of Quick Setup, simplifying the way you enable visibility and control of your instances. With Quick Setup, you can easily get started with key Systems Manager capabilities like patch compliance scanning and instance inventory collection.  

Amazon Chime now shows a list of recent incoming, outgoing, and missed calls to help you quickly redial, reply with a message, or return a missed call. You can see your 1:1 voice and video calls in the call history list. If you have Chime Business Calling enabled, you can also see calls to and from your business telephone number. For each call, you can see the name or phone number of the other person, the date, and the call duration. Call history is synchronized across all of your devices running Chime, so you always have your most recent call history with you.

When using Amazon ECS with the EC2 launch type on Linux, you can now control the use of swap space on a per-container basis. Swap space is used by operating systems such as Linux to allow processes to use more memory than is physically available on the host; the operating system kernel will “swap” physical memory to disk as needed to meet the demands of the software running on the host. Swap space enables applications to use more memory than they otherwise would be able to access, at the cost of higher latency and lower throughput of that memory access. Applications such as those with highly varying memory requirements, but less sensitivity to latency, may benefit from the use of swap memory. 

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.

Amazon FSx for Windows File Server is now available in the AWS Europe (Stockholm) Region.