Summary of AWS blogs for the week of Monday Aug 21

In the week of Mon Aug 21 2023, AWS published 49 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

Track User Processes and Get More Insight into Amazon AppStream 2.0 Sessions

Many customers of Amazon AppStream 2.0 want to track employee usage of specific applications and use this data to track the frequency/duration of application use, as well as to optimize licensing costs. Out of the box, AppStream 2.0 provides usage reports that record applications launched from the application catalog. However, it does not track applications launched from desktop shortcuts or from other applications.

Introducing User Process Tracking with AppStream 2.0

To track user processes with AppStream 2.0, you need to make use of the streaming session APIs for your AppStream 2.0 Fleet. These APIs can give you access to the processes running in a streaming session, as well as details about them. You can use this data to track individual processes, as well as to store and analyze the usage data for each employee.

Deeper Insights into AppStream 2.0 Usage

With user process tracking, you can gain insights into how your users are interacting with the applications available through AppStream 2.0. You can track the number of users accessing each application, how long they are using the application, and the frequency of usage. This data can be used to identify areas for improvement, or to determine the most effective way to deploy new applications. Additionally, access to this data enables you to determine if users are using applications as intended, or if they are running unauthorized applications.

The Benefits of User Process Tracking with AppStream 2.0

User process tracking with AppStream 2.0 enables customers to better understand their usage patterns and optimize their usage costs. Additionally, this data provides visibility into the behavior of users and can inform decisions about how to best deploy applications.

Cloud2 Solutions for Amazon AppStream 2.0

Cloud2 is the leading Danish AWS Consultancy, providing both professional services and managed services. We are highly advanced in AWS, and can help you implement user process tracking with AppStream 2.0. Our team of AWS experts can help you configure your AppStream 2.0 fleet, and provide guidance on the best way to store and analyze the usage data. Contact us today to learn more about how we can help you get the most out of your Amazon AppStream 2.0 experience.

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AWS for SAP

How to Implement an Event-Driven Architecture with the AWS SDK for SAP ABAP

Omnichannel strategies have become the norm in organizations across industries, creating the challenge of integrating different systems to ensure seamless data flow and near real-time updates. This is especially critical in e-commerce businesses, where customers expect up-to-date inventory information for products they wish to purchase. The lack of access to accurate inventory data can create a suboptimal customer experience and may hurt a business’s bottom line.

Integrating ABAP with AWS

The AWS SDK for SAP ABAP enables ABAP developers to integrate with AWS services. This provides developers with a single development environment that can access AWS services, enabling them to build their own custom solutions. For example, an ABAP developer could create an application that uses a combination of Amazon S3 and Amazon SQS to trigger events when inventory levels drop below a certain threshold.

Advantages of the AWS SDK for SAP ABAP

Using the AWS SDK for SAP ABAP provides a number of advantages. It eliminates the need to learn a separate language to access AWS services, and allows developers to stay in the familiar ABAP environment. Additionally, the SDK provides a way to quickly access data stored in AWS, without the need to manually set up connections. This reduces development time and allows for faster time-to-market.

How Cloud2 Can Help

At Cloud2, our team of AWS experts is well-equipped to help businesses implement AWS SDK for SAP ABAP. We can provide guidance on how to utilize the SDK to achieve the desired outcome, as well as ensure that the integration process is seamless. Whether you’re looking to create an event-driven architecture or need help with any other AWS-related task, we can help you achieve your goals.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Amazon SageMaker Profiler, Amazon CodeWhisperer, S3 Access Points, Federated Learning, Explainability in Clinical Settings, and Fine-Grained Data Controls

In this blog post, we will be discussing the latest developments in Amazon Web Services Machine Learning. This includes the preview of Amazon SageMaker Profiler, Persistent Systems’ experiments with Amazon CodeWhisperer, Amazon S3 access point support for Amazon SageMaker Data Wrangler, machine learning with decentralized training data using federated learning on Amazon SageMaker, explainability of machine learning models used in medical settings with Amazon SageMaker Clarify, and applying fine-grained data access controls with AWS Lake Formation in Amazon SageMaker Data Wrangler.

Amazon SageMaker Profiler

The Amazon SageMaker Profiler preview provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. It tracks all activities on CPUs and GPUs, such as CPU and GPU utilizations, kernel runs on GPUs, kernel launches on CPUs, sync operations, memory operations across GPUs, latencies between kernel launches and corresponding runs, and data transfer between CPUs and GPUs.

Persistent Systems & Amazon CodeWhisperer

Persistent Systems, a global digital engineering provider, has been running several pilots and formal studies with Amazon CodeWhisperer. These experiments point to shifts in software engineering, generative AI-led modernization, responsible innovation, and more. This could potentially change software engineering as we know it.

Amazon S3 Access Point Support for Amazon SageMaker Data Wrangler

SageMaker Data Wrangler now supports importing and exporting data from an S3 access point. This allows users to easily import, export, and transform data stored in S3, enabling a more seamless and secure integration of their data pipelines with the rest of

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