Schlagwort: cloud computing

Amazon Application Recovery Controller region switch now supports three new capabilities

Amazon Application Recovery Controller (ARC) Region switch allows you to orchestrate the specific steps to switch your multi-Region applications to operate out of another AWS Region and achieve a bounded recovery time in the event of a Regional impairment to your applications. Region switch saves hours of engineering effort and eliminates the operational overhead previously required to complete failover steps, create custom dashboards, and manually gather evidence of a successful recovery for applications across your organization and hosted in multiple AWS accounts. Today, we are announcing three new Region switch capabilities: AWS GovCloud (US) support: ARC Region switch is now generally available in AWS GovCloud (US-East and US-West) Regions. Plan execution reports: Region switch now automatically generates a comprehensive report from each plan execution and saves it to an Amazon S3 bucket of your choice. Each report includes a detailed timeline of events for the recovery operation, resources in scope for the Region switch, alarm states for optional application status alarms, and recovery time objective (RTO) calculations. This eliminates the manual effort previously required to compile evidence and documentation for compliance officers and auditors. DocumentDB global cluster execution blocks: Adding to the catalog of 9 execution blocks, Region switch now supports Amazon DocumentDB global cluster execution blocks for automated multi-Region database recovery. This feature allows you to orchestrate DocumentDB global cluster failover and switchover operations within your Region switch plans. To get started, build a Region switch plan using the ARC console, API, or CLI. See the AWS Regional Services List for availability information. Visit our home page or read the documentation.
Quelle: aws.amazon.com

Amazon SageMaker Studio now supports SOCI indexing for faster container startup times

Today, AWS announces SOCI (Seekable Open Container Initiative) indexing support for Amazon SageMaker Studio, reducing container startup times by 30-50% when using custom images. Amazon SageMaker Studio is a fully integrated, browser-based environment for end-to-end machine learning development. SageMaker Studio provides pre-built container images for popular ML frameworks like TensorFlow, PyTorch, and Scikit-learn that enable quick environment setup. However, when data scientists need to tailor environments for specific use cases with additional libraries, dependencies, or configurations, they can build and register custom container images with pre-configured components to ensure consistency across projects. As ML workloads become increasingly complex, these custom container images have grown in size, leading to startup times of several minutes that create a bottlenecks in iterative ML development where quick experimentation and rapid prototyping are essential. SOCI indexing addresses this challenge by enabling lazy loading of container images, downloading only the necessary components to start applications with additional files loaded on-demand as needed. Instead of waiting several minutes for complete custom image downloads, users can begin productive work in seconds while the environment completes initialization in the background. To use SOCI indexing, create a SOCI index for your custom container image using tools like Finch CLI, nerdctl, or Docker with SOCI CLI, push the indexed image to Amazon Elastic Container Registry (ECR), and reference the image index URI when creating SageMaker Image resources. SOCI indexing is available in all AWS Regions where Amazon SageMaker Studio is available. To learn more about implementing SOCI indexing for your SageMaker Studio custom images, see Bring your own SageMaker image in the Amazon SageMaker Developer Guide. 
Quelle: aws.amazon.com

AWS Private CA OCSP now available in China and AWS GovCloud (US) Regions

AWS Private Certificate Authority (AWS Private CA) now supports Online Certificate Status Protocol (OCSP) in China and AWS GovCloud (US) Regions. AWS Private CA is a fully managed certificate authority service that makes it easy to create and manage private certificates for your organization without the operational overhead of running your own CA infrastructure. OCSP enables real-time certificate validation, allowing applications to check the revocation status of individual certificates on-demand rather than downloading Certificate Revocation List (CRL) files. With OCSP support, customers in these Regions can implement more efficient certificate validation with minimal bandwidth, typically requiring a few hundred bytes per query, versus downloading large Certificate Revocation Lists (CRLs) that can be hundreds of kilobytes or larger. This enables real-time revocation checks for use cases such as validating internal microservices communications, implementing zero trust security architectures, and authenticating IoT devices. AWS Private CA fully manages the OCSP responder infrastructure, providing high availability without requiring you to deploy or maintain OCSP servers. OCSP is now also available in the following AWS Regions: China (Beijing), and China (Ningxia), AWS GovCloud (US-East), AWS GovCloud (US-West). To enable OCSP for your certificate authorities, use the AWS Private CA console, AWS CLI, or API. To learn more about OCSP, see Certificate Revocation in the AWS Private CA User Guide. For pricing information, visit the AWS Private CA pricing page.
Quelle: aws.amazon.com

Amazon ECS Managed Instances now supports Amazon EC2 Spot Instances

Amazon ECS Managed Instances now supports Amazon EC2 Spot Instances, extending the range of capabilities available with AWS-managed infrastructure. With this launch, you can leverage spare EC2 capacity at up to 90% discount compared to On-Demand prices for fault-tolerant workloads, while AWS handles infrastructure management. ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements and continuously optimize task placement to reduce infrastructure costs. You can simply define your task requirements such as the number of vCPUs, memory size, and CPU architecture, and Amazon ECS automatically provisions, configures and operates most optimal EC2 instances within your AWS account using AWS-controlled access. You can also specify desired instance types in Managed Instances capacity provider configuration, including GPU-accelerated, network-optimized, and burstable performance, to run your workloads on the instance families you prefer. With today’s launch, you can additionally configure a new parameter, capacityOptionType, as spot or on-demand in your capacity provider configuration. Support for EC2 Spot Instances is available in all AWS Regions that Amazon ECS Managed Instances is available. You will be charged for the management of compute provisioned, in addition to your spot Amazon EC2 costs. To learn more about ECS Managed Instances, visit the feature page, documentation, and AWS News launch blog.
Quelle: aws.amazon.com

Amazon WorkSpaces Applications announces Elastic fleets powered by Ubuntu Pro 24.04 LTS

Amazon WorkSpaces Applications now offers support for Ubuntu Pro 24.04 LTS on Elastic fleets, enabling Independent Software Vendors (ISVs) and central IT organizations to stream Ubuntu desktop applications to users while leveraging the flexibility, scalability, and cost-effectiveness of the AWS Cloud. Amazon WorkSpaces Applications is a fully managed, secure desktops and applications streaming service that provides users with instant access to their desktops and applications from anywhere. Within Amazon WorkSpaces Applications, Elastic fleet is a server less fleet type that lets you stream desktop applications to your end users from an AWS-managed pool of streaming instances without needing to predict usage, create and manage scaling policies, or create an image. Elastic fleet type is designed for customers that want to stream applications to users without managing any capacity or creating WorkSpaces Applications images. To get started sign into the WorkSpaces Applications management console and select one of the AWS Region of your choice. For the full list of Regions where WorkSpaces Applications is available, see the AWS Region Table. Amazon WorkSpaces Applications offers pay-as-you-go pricing. For more information, see Amazon WorkSpaces Applications Pricing.
Quelle: aws.amazon.com