Summary of AWS blogs for the week of Monday, Sep 25

In the week of Mon Sep 25, 2023, AWS published 98 blog posts – here is an overview of what happened.

Topics Covered

• AWS DevOps Blog
• AWS for SAP
• Official Machine Learning Blog of AWS
• Announcements, Updates, and Launches
• Containers
• AWS Smart Business Blog
• Official Database Blog of AWS
• AWS Training and Certification Blog
• Microsoft Workloads on AWS
• Official Big Data Blog of AWS
• Networking & Content Delivery
• AWS Compute Blog
• AWS for M&E Blog
• AWS Storage Blog
• AWS Architecture Blog
• AWS Partner Network (APN) Blog
• AWS Cloud Enterprise Strategy Blog
• AWS HPC Blog
• AWS Cloud Operations & Migrations Blog
• AWS for Industries
• The latest AWS security, identity, and compliance launches, announcements, and how-to posts.
• AWS Startups Blog
• Front-End Web & Mobile
• Innovating in the Public Sector

AWS DevOps Blog

How Amazon CodeCatalyst and AWS Signer Streamline CI/CD Workflows

Amazon CodeCatalyst is an integrated service that allows software development teams to adopt continuous integration and deployment practices into their software development process. CodeCatalyst provides the tools teams need to plan work, collaborate on code, build, test, and deploy applications with CI/CD tools. Additionally, CodeCatalyst integrates with AWS resources and services such as AWS Signer and AWS App Runner, making containerized application deployments efficient and straightforward.

Using Amazon CodeCatalyst Blueprints to Build and Deploy a Video-on-Demand Application to AWS

Amazon CodeCatalyst Blueprints are a great way to quickly generate source code and a CI/CD pipeline to deploy common patterns to your AWS account. By using Blueprints, teams are able to create and launch new projects in minutes without having to be an expert programmer. This boosts productivity and lowers time to market.

Deploying Container Applications with Amazon CodeCatalyst and AWS App Runner

Using CodeCatalyst’s native CI/CD workflow actions, development teams can quickly deploy applications and mitigate operational challenges. CodeCatalyst’s fluidity from planning to deployment enables teams to automatically sign code for AWS Lambda functions using Amazon CodeCatalyst and AWS Signer. This creates a secure and automated process for code signing for Lambda functions, reducing the time and effort needed to complete the task.

The combination of Amazon CodeCatalyst and AWS Signer streamlines CI/CD workflows and enables teams to launch their applications quickly. Cloud2 can help guide software development teams seeking to leverage the full potential of Amazon CodeCatalyst and AWS Signer. Our team of AWS experts can provide consultation and setup of CI/CD pipelines, and help teams build secure and automated code signing processes for their projects.

Read the full blog posts from AWS

• Automate Lambda code signing with Amazon CodeCatalyst and AWS Signer
• Using Amazon CodeCatalyst Blueprints to Build and Deploy a Video-On-Demand Application to AWS
• Deploying container application using Amazon CodeCatalyst and AWS App Runner

AWS for SAP

AWS for SAP: Updated Guidance for SAP Pacemaker Configuration and Secure File Transfer with the AWS SDK for SAP ABAP

SAP customers running critical workloads on Linux on AWS can rely on Pacemaker, an open source resource manager, to orchestrate maximum availability. Pacemaker can detect and react to failure scenarios that impact SAP uptime by disrupting the underlying infrastructure, the operating system, or the SAP application itself. AWS has worked with SUSE and Red Hat to develop guidance for configuring Pacemaker on Linux on AWS for customers using SAP Central Services (ASCS).

Customers running SAP workloads will often exchange data with external sources using protocols such as SSH File Transfer Protocol (SFTP), File Transfer Protocol Secure (FTPS), File Transfer Protocol (FTP) and Applicability Statement 2 (AS2). Data exchanged may include purchase orders, invoices, inventory lists, bank statements and payroll data which typically contain confidential business information. To help protect the confidentiality of this data, AWS provides customers the ability to securely transfer files with the AWS SDK for SAP ABAP.

By combining Pacemaker configuration and Secure File Transfer, customers can maximize the availability and security of their SAP workloads on Linux on AWS. Using AWS services and tools, customers can gain the scale and performance needed to meet the demands of their most critical SAP workloads.

At Cloud2, our AWS professionals are experts in configuring and managing Pacemaker for SAP Central Services and Secure File Transfer with the AWS SDK for SAP ABAP. With our certified AWS Solutions Architects and DevOps Engineers, we can ensure that your SAP workloads are always available and secure, backed by the scale of AWS. Contact us today to learn how Cloud2 can help you get the most out of your SAP workloads on AWS.

Read the full blog posts from AWS

• Updated Guidance for SAP Pacemaker configuration – ABAP SAP Central Services (ASCS)
• Secure File Transfer with the AWS SDK for SAP ABAP

Official Machine Learning Blog of Amazon Web Services

Official Machine Learning Blog of Amazon Web Services

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

In this analysis, a K-nearest neighbors (KNN) model was used to conduct crop segmentation, and the results were compared with ground truth imagery on an agricultural region. The KNN model was more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015, illustrating the power of Planet’s high-cadence geospatial imagery. High-frequency satellite imagery allows us to observe and analyze quickly-changing environments, such as agricultural fields which can change multiple times a season.

Accenture creates a Knowledge Assist solution using generative AI services on AWS

Organizations today face major challenges when it comes to using their information and knowledge bases for internal and external business operations. With constantly evolving operations, processes, policies, and compliance requirements, it can be extremely difficult for employees and customers to stay up to date. To help tackle these challenges, Accenture created Knowledge Assist, a solution that leverages generative AI services from AWS. Knowledge Assist uses natural language processing to quickly answer questions and provide fast, accurate, and up-to-date information from a knowledge base. Cloud2 can help organizations set up and utilize Knowledge Assist to improve their information and knowledge base operations.

Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs