10/2/2024, 12:00:00 AM ~ 10/3/2024, 12:00:00 AM (UTC)
Recent Announcements
Amazon AppStream 2.0 enables automatic time zone redirection for enhanced user experience
Amazon AppStream 2.0 now allows end users to enable automatic time zone redirection for application and desktop streaming sessions. With this new capability, AppStream 2.0 streaming sessions will automatically adjust to match the time zone setting of the end user’s client device.\n While end users can still manually configure regional preferences like time zone, language and input method based on their location. Automatic time zone redirection eliminates the need to manually configure time zone. By automatically redirecting the time zone, AppStream 2.0 provides an improved localized experience for end users. The streaming applications and desktops will now display the user’s local time zone out of the box, without any manual configuration required. This helps create a more intuitive experience for users across different global locations. The time zone redirection works independently of the AWS region where the AppStream 2.0 fleet is deployed. This feature is available to all the customers using web browser to connect to AppStream 2.0 at no additional cost in all the AWS Regions where Amazon AppStream 2.0 is available. AppStream 2.0 offers pay-as-you go pricing. To get started with AppStream 2.0, see Getting Started with Amazon AppStream 2.0. To enable this feature for your users, you must use an AppStream 2.0 image that uses AppStream 2.0 agent released on or after September 18, 2024 or your image is using Managed AppStream 2.0 image updates released on or after September 20, 2024.
Amazon AppStream 2.0 is helping enhance the end-user experience by introducing support for local printer redirection and user-selected regional settings on multi-session fleets. While these features were already available on single-session fleets, this launch extends these functionalities to multi-session fleets, helping administrators to leverage the cost benefits of the multi-session model while providing an enhanced end-user experience. By combining these enhancements with the existing advantages of multi-session fleets, AppStream 2.0 offers a comprehensive solution that helps balance cost-efficiency and user satisfaction.\n With local printer redirection, AppStream 2.0 users can redirect print jobs from their streaming application to a printer that is connected to their local computer. No printer driver needs to be installed on the AppStream 2.0 streaming instance to enable users to print documents during their streaming sessions. Additionally, your users can now configure their streaming sessions to use regional settings. They can set the locale, and input method used by their applications in their streaming sessions. Each user’s settings persist across all future sessions in the same AWS Region. These features are available at no additional cost in all the AWS Regions where Amazon AppStream 2.0 is available. AppStream 2.0 offers pay-as-you go pricing. To get started with AppStream 2.0, see Getting Started with Amazon AppStream 2.0. To enable these features for your users, you must use an AppStream 2.0 image that uses AppStream 2.0 agent released on or after September18, 2024 or your image is using Managed AppStream 2.0 image updates released on or after September 20, 2024.
AWS Snowball Edge Storage Optimized 210TB device is available in three new regions
AWS Snowball Edge Storage Optimized 210TB device is now available in three additional regions: Asia Pacific (Mumbai), South America (Sao Paulo), and Asia Pacific (Seoul). The AWS Snowball Edge Storage Optimized 210TB features storage capacity of 210TB per device and high performance NVMe storage, enabling customers to quickly complete large data migrations.\n For the majority of data migration workloads, customers should use AWS DataSync as a secure, online service that automates and accelerates moving data between on premises and AWS Storage services. When bandwidth is limited, or a connection is intermittent, customers can use AWS Snowball Edge Storage Optimized 210TB for offline data migration. The AWS Snowball Edge Storage Optimized 210TB device supports two pricing options for data migration: less than 100TB, and from 100TB to 210TB pricing. To learn more, visit the AWS Snowball Pricing, Snow product page and Snow Family documentation.
Amazon Bedrock now available in the Asia Pacific (Seoul) and US East (Ohio) Regions
Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Seoul) and US East (Ohio) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.
Amazon Managed Service for Prometheus now supports Internet Protocol Version 6 (IPv6)
Amazon Managed Service for Prometheus now offers customers the option to use Internet Protocol version 6 (IPv6) addresses for their new and existing workspaces. Customers moving to IPv6 can simplify their network stack by running and operating their Amazon Managed Service for Prometheus workspaces on a network that supports both IPv4 and IPv6. Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a popular Cloud Native Computing Foundation open-source project for monitoring and alerting on metrics from compute environments such as Amazon Elastic Kubernetes Service.\n The continued growth of the internet is exhausting available Internet Protocol version 4 (IPv4) addresses. IPv6 increases the number of available addresses by several orders of magnitude so customers will no longer need to manage overlapping address spaces in their VPCs. Customers can now connect to Amazon Managed Service for Prometheus APIs with IPv6 connections. Customers can also continue to connect to Amazon Managed Service for Prometheus APIs via IPv4 connections if they do not utilize IPv6. To learn more on best practices for configuring IPv6 in your environment, visit the whitepaper on IPv6 in AWS. Support for IPv6 on Amazon Managed Service for Prometheus is available in all regions where the service is GA. To learn more about Amazon Managed Service for Prometheus, visit the user guide or product page.
Amazon Virtual Private Cloud (VPC) now supports BYOIP and BYOASN in all AWS Local Zones
Starting today, Amazon VPC supports two key public IP address management features, Bring-Your-Own-IP (BYOIP) and Bring-Your-Own-ASN (BYOASN), in all AWS Local Zones. If your applications use trusted IP addresses and Autonomous System Numbers (ASNs) that your customers or partners have allowed in their networks, you can run these applications in AWS Local Zones without requiring your partners or customers to change their allow-lists.\n The reachability of many workloads, including host-managed VPNs, proxies, and telecommunication network functions, depends on an organization’s IP address and ASN. With BYOIP, you can now assign your public IPs to workloads in AWS Local Zones, and with BYOASN, you can advertise them using your own ASN. This ensures your workloads remain reachable by customers or partners that have allowlisted your IP addresses and ASN. The BYOIP and BYOASN features are available in all AWS Local Zones, and all AWS Regions except China (Beijing, operated by Sinnet) and China (Ningxia, operated by NWCD). For more information about this feature, review the EC2 BYOIP documentation and IPAM tutorials.
Amazon Timestream for InfluxDB now includes advanced configuration options
Amazon Timestream for InfluxDB now supports additional configuration options, providing you with more control over how the engine behaves and communicates with its clients.With today’s launch, Timestream for InfluxDB also introduces a feature that allows you to monitor instance CPU, Memory, and Disk utilization metrics directly from the AWS Management Console.\n Timestream for InfluxDB offers the full feature set of the 2.7 open-source version of InfluxDB, the most popular open source time-series database engine, in a fully managed service with features like Multi-AZ high-availability and enhanced durability. You can now configure the port to access your InfluxDB instances, allowing for greater flexibility in your infrastructure setup. Additionally, over 20 new engine configuration parameters gives you precise control over your instance’s behavior. To get started, navigate to the Amazon Timestream Console, and configure your instances according to your needs. Existing customers can also update their instances to take advantage of these new configuration options. Amazon Timestream for InfluxDB is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Canada (Central), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Jakarta), Europe (Paris), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Stockholm), Europe (Spain), and Middle East (UAE). You can create a Amazon Timestream for InfluxDB Instance from the Amazon Timestream console, AWS Command line Interface (CLI), or SDK, and AWS CloudFormation. To learn more about Amazon Timestream for InfluxDB visit the product page, documentation, and pricing page.
AWS Blogs
AWS Big Data Blog
AWS Contact Center
AWS Database Blog
- An introduction to real estate tokenization on AWS
- Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service
Front-End Web & Mobile
AWS HPC Blog
AWS for Industries
The Internet of Things on AWS – Official Blog
AWS Machine Learning Blog
- How Schneider Electric uses Amazon Bedrock to identify high-potential business opportunities
- Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock
- Elevate workforce productivity through seamless personalization in Amazon Q Business
- Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1
Networking & Content Delivery
- Unlock self-service, enterprise-grade VPC capabilities with seamless integrations
- Network observability for modern applications