Summary of AWS blogs for the week of Monday, Oct 16

In the week of Mon Oct 16, 2023, AWS published 105 blog posts. Here is an overview of what happened.

Topics Covered

AWS DevOps Blog

AWS CodeDeploy Now Supports Multiple Load Balancers

AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services, like Amazon EC2, ECS, Lambda, and on-premise servers. Recently, CodeDeploy announced its support for applications that use multiple AWS Elastic Load Balancers (ELB).

Using CodeDeploy, it is now possible to deploy to applications that use multiple ELBs, which can help with better orchestration of workloads. For example, this could be used for blue-green deployments, where the existing, live version of an application is still used while the new version is tested or rolled out to the wider user base.

Another key benefit to this feature is that it enables CodeDeploy to deploy to applications that are using a mixture of classic and application load balancers. This allows for a more seamless transition between the two types of load balancers, as well as the potential for cost savings, since the classic load balancers are cheaper.

Introducing the AWS Well-Architected Framework DevOps Guidance

Today, Amazon Web Services (AWS) announced the launch of the AWS Well-Architected Framework DevOps Guidance. This guidance introduces the AWS DevOps Sagas, which is a collection of modern capabilities that together form an approach to designing, developing, securing, and operating software with scalability in mind.

This approach is based on Amazon’s own transformation journey and customer feedback. It provides guidance on how to plan, build, and operate applications with DevOps practices. This guidance encourages developers to focus on priorities such as scalability, security, and performance.

Moreover, the AWS Well-Architected Framework DevOps Guidance provides resources to help customers identify areas of improvement with their existing applications. This can help them reduce operational costs and improve their software’s reliability.

At Cloud2, we understand the importance of using AWS DevOps practices for building reliable and resilient applications. Our team of experienced AWS DevOps consultants can provide expertise and support to help customers make the most of the AWS Well-Architected Framework DevOps Guidance. We can help customers develop and implement the best DevOps strategies for their applications and ensure they are taking the necessary steps to ensure the security and performance of their applications.

Read the full blog posts from AWS

AWS for SAP

Extend RISE with SAP on AWS with Analytics Fabric for SAP Accelerators

SAP customers are increasingly turning to Amazon Web Services (AWS) to extend their RISE with SAP solutions. The Analytics Fabric for SAP Accelerators is designed to enable customers to quickly and easily access AWS services that are tailored to support customer’s SAP workloads. In this post, we’ll take a closer look at how the AWS Analytics Fabric for SAP Accelerators can help customers accelerate their SAP deployments.

What is the AWS Analytics Fabric for SAP Accelerators?

The AWS Analytics Fabric for SAP Accelerators is a collection of preconfigured, best-practice solutions that can be used to quickly set up and deploy SAP workloads on AWS. The fabric includes a selection of popular AWS services such as Amazon EC2, Amazon EMR, Amazon S3, Amazon Athena, and Amazon Redshift, as well as other services tailored to SAP workloads, such as Amazon Aurora, Amazon RDS, Amazon VPC, and Amazon Kinesis. The fabric is designed to make it easier and faster for customers to get up and running on AWS, and to ensure a consistent and optimized experience when deploying SAP workloads.

Key Benefits of the AWS Analytics Fabric for SAP Accelerators

The AWS Analytics Fabric for SAP Accelerators offers a number of key benefits to customers, including:

  • Faster Deployment: The pre-configured solutions provided by the fabric can be used to quickly and easily set up and deploy SAP workloads on AWS.
  • Optimized Performance: The fabric is designed to ensure a consistent and optimized experience when deploying SAP workloads, allowing customers to quickly identify and address potential performance issues.
  • Reduced Complexity: The fabric makes it easier and faster for customers to get up and running on AWS, reducing the complexity of the deployment process.

How Cloud2 Can Help

Cloud2 provides a range of services to help customers deploy and optimize their SAP workloads on AWS. Our team of certified AWS professionals can help customers understand best practices for deploying and managing their SAP workloads on AWS and can help customers unlock the full potential of the AWS Analytics Fabric for SAP Accelerators. Our team can also provide custom solutions tailored to customer’s specific needs and requirements, ensuring an optimal experience when deploying SAP workloads on AWS.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Amazon Machine Learning Blog – An Overview

Customers around the world are beginning to use machine learning (ML) in their products and services. This is made possible on AWS through Amazon SageMaker, Amazon Rekognition, and other services. The Official Machine Learning Blog of Amazon Web Services provides in-depth guidance on how to use these services, along with case studies and stories from customers who are innovating with ML. This overview will provide a brief look at the content available on the blog.

Governing the ML Lifecycle at Scale

The Official Machine Learning Blog of Amazon Web Services offers a series of posts on governing the ML lifecycle at scale. The first part of the series outlines a framework for architecting ML workloads using Amazon SageMaker. It discusses the challenges customers face when implementing ML while also outlining the value that ML can offer.

Scroll to Top