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New AWS Solutions Consulting Offer – Build Cloud Foundations

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Build Cloud Foundations is an AWS Solutions Consulting Offer delivered via a consulting engagement from NTT DATA Services, an AWS DevOps Competency Partner. Build Cloud Foundations provides a secure, scalable cloud foundation to accelerate your cloud adoption journey. Customers that request this consulting offer will participate in an engagement that delivers a multiple-account security strategy that accelerates cloud adoption with training, documentation, and resources to help teams get the skills they need.

New AWS Solutions Consulting Offer – Deploy Containers on AWS

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Deploy Containers on AWS is an AWS Solutions Consulting Offer delivered via a consulting engagement from NTT DATA Services, an AWS DevOps Competency Partner. Deploy Containers on AWS delivers a ready-to-deploy secure foundation that expedites the deployment of both greenfield container-based applications and already-containerized applications. Customers that request this consulting offer will participate in an engagement that delivers a current state assessment, deployment of the solution, and a solution walk-through.

Announcing new operations plan AWS Managed Services Accelerate

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Accelerate is a new operations plan from AWS Managed Services (AMS) that offers operations support for customers with existing workloads, with new planned workloads, or migrating to AWS. AMS Accelerate provides operational services such as monitoring, incident management, security, patch, and backup to help you with day-to-day operations management so that your teams can focus on business transformation in the cloud.

AWS Copilot launches v1.4 with support for ECS exec and more

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Today, AWS Copilot launched version 1.4 which now provides more operational capabilities for applications hosted on Amazon Elastic Container Service (Amazon ECS). This allows you to directly access a container to troubleshoot and run commands with ECS exec. AWS Copilot also added the ability to deploy applications from a Bitbucket repository and attach Amazon Elastic File Service (EFS) volumes.

Announcing support for multiple containers on Amazon SageMaker Inference endpoints, leading to cost savings of up to 80%

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Amazon SageMaker now supports deploying multiple containers on real-time endpoints for low latency inferences and invoking them independently for each request. This new capability enables you to run up to five different machine learning (ML) models and frameworks on a single endpoint and save up to 80% in costs. This option is ideal when you have multiple ML models with similar resource needs and when individual models don’t have sufficient traffic to utilize the full capacity of the endpoint instances. For example, if you have a set of ML models that are invoked infrequently or at different times, or if you have dev/test endpoints.

Announcing new Amazon EC2 X2gd instances powered by AWS Graviton2 processors

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Starting today, the next generation of memory optimized Amazon EC2 X2gd instances are available. These instances are built on the AWS Nitro System and are powered by AWS-designed, Arm-based AWS Graviton2 processors. They deliver up to 55% better price performance compared to current generation x86-based X1 instances and provide high memory per vCPU at the lowest cost per GiB of memory in Amazon EC2. The higher performance and additional memory of X2gd instances enable customers to run memory-intensive workloads such as in-memory databases (Redis, Memcached), relational databases (MySQL, PostGreSQL), electronic design automation (EDA) workloads, real-time analytics, and real-time caching servers. Customers running containerized workloads can also use X2gd instances to optimize their infrastructure by consolidating more containers on a single instance. X2gd instances also feature local NVMe-based SSD storage for applications that need high speed, low latency access to data.

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