Tag: SysAdmin

Today, AWS announces a simplified onboarding experience for AWS Client VPN, introducing a new Quickstart setup method that streamlines the process of creating and configuring Client VPN endpoints. AWS Client VPN allows you to securely connect remote users to AWS resources and on-premises networks. The new Quickstart setup, reduces the number of steps required to set up an Client VPN endpoint. You can now easily set up Client VPN endpoints with pre-defined default configurations, requiring only three key inputs: IPv4 CIDR, server certificate ARN, and subnet selection. For example, development teams in large organizations who use Client VPN for remote access to their VPC resources for quick testing can now create endpoints quickly with the new simplified setup process. The Quickstart method is available alongside the existing Standard Setup option, giving you the flexibility to choose the approach that best fits your deployment needs. Additionally, when you create a

AWS is announcing starting today, Amazon EC2 I7ie instances are now available in AWS Asia Pacific (Mumbai), Canada West (Calgary) and Europe (Paris) regions. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon Processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency c

You can now create Apache Airflow version 2.11 environments on Amazon Managed Workflows for Apache Airflow (MWAA). Apache Airflow 2.11 introduces several changes to help you prepare for upgrading to Apache Airflow 3.  Amazon MWAA is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud. Apache Airflow 2.11 introduces several notable enhancements, such as new trigger-based scheduling for delta intervals, consistent reporting of metrics in milliseconds and other changes that will make it easy to migrate to Apache Airflow 3. In addition, MWAA now provides support for Python 3.12 that you can leverage in your workflows. You can launch a new Apache Airflow 2.11 environment on Amazon MWAA with just a few clicks in the AWS Management Console in all currently supported 

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i and C8i-flex instances are available in the Asia Pacific (Mumbai), Asia Pacific (Seoul), and Asia Pacific (Tokyo) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. These C8i and C8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% higher performance than C7i and C7i-flex instances, with even higher gains for specific workloads. The C8i and C8i-flex are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex. C8i-flex are the easiest way to get price performance benefits for a majority of compute intensive workloads like web and app

Amazon Elastic Container Service (Amazon ECS) now supports tmpfs mounts for Linux tasks running on AWS Fargate and Amazon ECS Managed Instances, extending beyond the EC2 launch type. With tmpfs, you can now create memory‑backed file systems for your containerized workloads without writing this data to task storage. tmpfs mounts provide a temporary file system that is backed by memory and exposed inside the container at a path you choose. This is ideal for performance‑sensitive workloads that need fast access to scratch files, caches, or temporary working sets, and for security‑sensitive data such as short‑lived secrets or credentials, because the data does not persist after the task stops. tmpfs also lets you keep the container root file system read‑only using the readonlyRootFilesystem setting while still allowing applications to write to specific in‑memory directories. To get started, update yo

Today, AWS announces collection visibility in AWS Marketplace Seller Reporting, which adds up-to-date payment collection status to the Billed Revenue Dashboard and Billing Event Data Feed. This enhancement enables sellers to distinguish between invoiced, collected, and disbursed amounts, eliminating the visibility gap between invoice creation and disbursement. With this feature, sellers can make informed business decisions and reduce unnecessary follow-ups with customers about payment status. Collection visibility particularly benefits sellers using monthly disbursement who previously waited up to 30 days to understand payment collection status. All AWS Marketplace sellers can now improve payment forecasting accuracy and detect collection issues earlier. This enhanced visibility streamlines seller operations and improves customer relationships by providing clarity on payment status. Collection visibility is available in all AWS Regions where AWS Seller Rep

Amazon MQ now supports the ability for RabbitMQ brokers to perform authentication (determining who can log in) and authorization (determining what permissions they have) by making requests to an HTTP server. This plugin can be configured on brokers running RabbitMQ 4.2 and above on Amazon MQ by making changes to the associated configuration file. To start using HTTP based authentication and authorization on Amazon MQ, simply select RabbitMQ 4.2 when creating a new broker using the m7g instance type through the AWS Management console, AWS CLI, or AWS SDKs, and then edit the associated configuration file. To learn more about the plugin, see the Amazon MQ release notes and the Amazon MQ developer guide. This plugin is available in all

AWS Config now supports 21 additional AWS resource types across key services including Amazon EC2, Amazon SageMaker, and Amazon S3 Tables. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types: AWS::AppStream::AppBlockBuilder AWS::IoT::ThingGroup AWS

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in the Asia Pacific (Hong Kong) region. G5 instances can be used for a wide range of graphics intensive and machine learning use cases. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and cloud gaming to produce high fidelity graphics in real time. Machine learning customers can use G5 instances for high performance and cost-efficient training and inference for natural language processing, computer vision, and recommender engine use cases. G5 instances feature up to 8 NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.6 TB of local NVMe SSD storage. With eight G5 instance sizes that offer access to single or multiple GPUs, customers have the flexibility to pick the right instance

Today, AWS Resource Explorer has expanded the availability of resource search and discovery to the Asia Pacific (New Zealand) Region. With AWS Resource Explorer you can search for and discover your AWS resources across AWS Regions and accounts in your organization, either using the AWS Resource Explorer console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or the unified search bar from wherever you are in the AWS Management Console. For more information about the Regions where AWS Resource Explorer is available, see the AWS Region table. To turn on AWS Resource Explorer, visit the AWS Resource Explorer console. Read about getting started in our AWS Resource Explorer documentatio