Summary of AWS Blogs for the Week of Monday, June 26

In the week of Mon Jun 26, 2023, AWS published 105 blog posts. Here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Streamline Your App Onboarding with AppStream 2.0 Applications Manager

AppStream 2.0 Applications Manager is a powerful feature that simplifies the process of setting up a new application. With this feature, you can create and connect to an app block builder instance and use the new application builder assistant to monitor your app installation. This feature increases the compatibility of apps with elastic fleets and shortens the setup process.

Process Automation

AppStream 2.0 Applications Manager allows you to automate the setup process. The assistant takes care of the application installation, connections, and configurations in one go. This removes the need to go back and forth between settings and makes sure everything is configured correctly. You can also control access to certain resources, so that only authorized personnel can access the system.

Compatibility with Elastic Fleets

The feature also ensures compatibility with elastic fleets. This means applications that are built on AppStream 2.0 can easily run on a variety of platforms. This ensures that applications can be deployed quickly and easily, without any compatibility issues.

Simplified Administration

The Applications Manager also simplifies the administration process. You can easily manage your applications and track their performance. This helps to ensure that applications are running efficiently and that any performance issues can be addressed quickly.

How Cloud2 Can Help

At Cloud2, we provide professional and managed services for AppStream 2.0. Our team of experienced AWS professionals can help you implement the Applications Manager feature with ease. We can also help you troubleshoot any issues and ensure that your applications are running optimally. Contact us today to learn more about how we can help you streamline your application onboarding process.

Read the full blog posts from AWS

AWS for SAP

Automate Invoice Processing with the AWS SDK for SAP ABAP

The traditional method of manually processing large volumes of structured and unstructured data, such as invoices, contracts, and financial reports, can be time-consuming and prone to errors. To reduce this burden, customers are turning to Intelligent Document Processing (IDP), an automated process that leverages machine learning and computer vision to extract information from documents. The AWS SDK for SAP ABAP provides an easy-to-use interface for customers to integrate IDP into their SAP solutions.

Getting Started with the AWS SDK for SAP ABAP

SAP customers running workloads on AWS can develop and improve their business processes using ABAP. Custom ABAP code and teams of ABAP developers are often used to build, maintain, and innovate for the company. The AWS SDK for SAP ABAP makes it easy for customers to integrate AWS services into their ABAP applications, allowing them to take advantage of AWS’s powerful cloud computing capabilities.

For customers looking to leverage the AWS SDK for SAP ABAP, Cloud2 provides the expertise to help get started. Our team of experienced consultants are well-versed in the latest AWS technologies and best practices, and can help you develop the cloud infrastructure and applications that meet your needs. In addition, our managed services provide ongoing support and maintenance for your applications, helping you maintain compliance and stay up-to-date with the latest technology changes. With our help, you can quickly and easily automate your processes with the AWS SDK for SAP ABAP.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Machine Learning Blog of Amazon Web Services

Democratize Computer Vision Defect Detection for Manufacturing Quality Using No-Code Machine Learning with Amazon SageMaker Canvas

Manufacturing quality is on the minds of many. Quality defects cause scrap and rework costs, decrease throughput, and can negatively impact customers and companies’ reputation. Quality inspection on the production line is essential to maintain quality standards. In many cases, human visual inspection is used to assess the quality and detect defects, which can be labor-intensive and time-consuming.

Amazon SageMaker Canvas provides a no-code experience for manufacturers to quickly and confidently deploy computer vision models to help automate defect detection. It is a visual workbench in Amazon SageMaker that helps users quickly develop, debug, and deploy models. With it, users can drag-and-drop components to construct a machine learning pipeline. Amazon SageMaker Canvas makes it easy to add custom logic and workflows to seamlessly integrate with existing systems.

Using Amazon SageMaker Canvas, users can access the tools and components they need to build, modify, and deploy computer vision models for defect detection. The Canvas environment provides a fast and flexible way to build, debug, and deploy models without having to write code. Additionally, users can easily create custom workflows using simple drag-and-drop operations.

At Cloud2, we provide professional and managed services to help you maximize the value of Amazon SageMaker Canvas. Our team of experts can help ensure the entire process runs smoothly, from creating models to deploying them for defect detection. Contact us today

Scroll to Top