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Amazon Web Services (AWS) announces availability of Amazon EC2 M5ad and R5ad instances. These new instances are variants of M5 and R5 instances and feature AMD EPYC processors with an all core turbo clock speed of up to 2.5 GHz as well as NVMe-based SSD block level instance storage physically connected to the host server. M5ad, and R5ad instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads.
M5ad instances are ideal for workloads that require a balance of compute and memory resources along with high-speed, low latency local block storage including data logging and media processing. R5ad instances are ideal for memory intensive workloads such as high-performance databases, distributed in-memory caches, in-memory databases, and big data analytics. Both M5ad and R5ad will also be beneficial for applications that need temporary storage of data for scratch space, temporary files, and caches.
M5ad and R5ad instances are available in the same sizes and offer application compatibility with the M5 and R5 instances, so you can start using them just like your other EC2 instances. M5ad and R5ad are available today in the US East (N. Virginia, Ohio), US West (Oregon), and Asia Pacific (Singapore) AWS Regions. These instances are available in 6 sizes with 2, 4, 8, 16, 48, and 96 vCPUs. M5ad and R5ad instances can be purchased as On-Demand, Reserved or Spot Instances.
AWS App Mesh is now generally available and supported for production use.
App Mesh is a service mesh that provides application level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh standardizes how your services communicate, giving you end-to-end visibility and ensuring high-availability for your applications.
Modern applications are typically composed of multiple services. Each service may be built using multiple types of compute infrastructure such as Amazon EC2 and AWS Fargate. As the number of services grow within an application, it becomes difficult to pinpoint the exact location of errors, re-route traffic after failures, and safely deploy code changes. Previously, this has required you to build monitoring and control logic directly into your code and redeploy your service every time there are changes.
AWS App Mesh makes it easy to run services by providing consistent visibility and network traffic controls for services built across multiple types of compute infrastructure. App Mesh removes the need to update application code to change how monitoring data is collected or traffic is routed between services. App Mesh configures each service to export monitoring data and implements consistent communications control logic across your application. This makes it easy to quickly pinpoint the exact location of errors and automatically re-route network traffic when there are failures or when code changes need to be deployed.
You can use App Mesh with AWS Fargate, Amazon EC2, Amazon ECS, Amazon EKS, and Kubernetes running on AWS, to better run your application at scale. App Mesh uses the open source Envoy proxy, making it compatible with a wide range of AWS partner and open source tools.
App Mesh is available to use in the following regions: Asia Pacific (Mumbai), US East (Ohio), Europe (Ireland), Europe (Frankfurt), US East (N. Virginia), Asia Pacific (Seoul), EU (London), Asia Pacific (Tokyo), US West (Oregon), US West (N. California),Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central).
Starting today, Amazonx (Frankfurt) and Asia Pacific (Sydney) Regions.
Amazon EC2 z1d instances deliver high single thread performance due to a custom Intel® Xeon® Scalable processor with a sustained all core frequency of up to 4.0 GHz, the fastest of any cloud instance. z1d provides both high compute performance and high memory, which is ideal for electronic design automation (EDA), gaming, and certain relational database workloads with high per-core licensing costs.
Amazon EC2 z1d instances come in 7 sizes, including bare metal instances that provide applications with direct access to the Intel® Xeon® Scalable processor and memory resources of the underlying server. These instances are ideal for workloads that require access to the hardware feature set (such as Intel® VT-x), for applications that need to run in non-virtualized environments for licensing or support requirements, or for customers who wish to use their own hypervisor.
With this expansion, EC2 z1d instances are now available in the US East (N. Virginia), US West (Oregon and N. California), Europe (Frankfurt and Ireland), Asia Pacific (Singapore, Sydney, and Tokyo) AWS Regions.
To learn more about EC2 z1d instances, visit https://aws.amazon.com/ec2/instance-types/z1d/.
Starting today, Amazon EC2 M5a and R5a instances are available in the AWS Asia Pacific (Sydney, Tokyo) and Europe (Frankfurt) Regions. Both M5a and R5a instances were first introduced in November of 2018 and feature 2.5 GHz AMD EPYC 7000 series processors that are variants of Amazon EC2’s general purpose (M5) and memory optimized (R5) instance families.
The AMD-based instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads. M5a instances are ideal for business-critical applications, web and application servers, back-end servers for enterprise applications, gaming servers, caching fleets, and app development environments. R5a instances are ideal for high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications.
With these regional expansions, these instances are available today in US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland), and Asia Pacific (Singapore, Sydney, Tokyo) Regions. M5a and R5a instances are available in 6 sizes, with 2, 4, 8, 16, 48, and 96 vCPUs and can be purchased as On-Demand, Reserved or Spot Instances.
You can run the preupgrade assistant on your instances running Amazon Linux to check for incompatibilities in packages, libraries, services, command-line options, and configuration files. The assistant produces a report outlining potential incompatibilities and offers suggestions to mitigate them. The preupgrade assistant module for Amazon Linux AMI is available on GitHub under the Apache 2.0 open-source license.
Amazon Linux 2 is the next-generation Amazon Linux operating system that provides a modern application environment with the latest enhancements from the Linux community and offers long-term support. To facilitate migration to Amazon Linux 2, AWS will continue to provide security updates for Amazon Linux AMI 2018.03, the last version of Amazon Linux AMI until June 30, 2020. Amazon Linux 2 is available in all public regions and provided at no additional cost beyond the Amazon EC2 instance usage. To learn more visit the preupgrade assistant documentation page.
Customers using AWS ParallelCluster to set up their High Performance Computing (HPC) clusters can now automatically create a new Amazon FSx for Lustre file system, or specify an existing Amazon FSx for Lustre file system to use, as part of the cluster creation process. With this feature AWS ParallelCluster further reduces the operational overhead of cluster management and simplifies running HPC workloads on AWS.
HPC clusters are collections of tightly coupled compute, storage, and networking resources that enable customers to run large scale scientific and engineering workloads. AWS ParallelCluster is a fully supported and maintained open source cluster management tool that makes it easy for scientists, researchers, and IT administrators to deploy and manage HPC clusters on AWS. AWS ParallelCluster is available at no additional charge, and you pay only for the AWS resources needed to run your applications.
Amazon FSx for Lustre provides high-performance file systems that are optimized for workloads such as HPC, machine learning, analytics, electronic design automation, and media processing. These workloads commonly require data to be presented via a fast and scalable POSIX-compliant file system interface and typically have input data sets that are stored on durable, long-term data stores like Amazon S3. Amazon FSx for Lustre provides sub-millisecond access to your data and allows you to read and write data at speeds of up to hundreds of GBs per second. FSx for Lustre integrates natively with Amazon S3, making it easy for you to process HPC data sets stored in Amazon S3. You can also use Amazon FSx for Lustre as a standalone high-performance file system for workloads you burst to the cloud. By copying on-premises data to an FSx for Lustre file system, you can make that data available for fast processing by compute instances running on AWS.
Learn more about using Amazon FSx for Lustre with AWS ParallelCluster here.