Summary of AWS blogs for the week of Mon Aug 26

In the week of Mon Aug 26 2024 AWS published 72 blog posts – here is an overview of what happened.

Topics Covered

Desktop and Application Streaming

At AWS re:Invent 2022, AWS launched Amazon CloudWatch Internet Monitor, which includes integrations with Amazon WorkSpaces Personal. By associating WorkSpaces with Internet Monitor, businesses can identify potential performance and internet connection issues their users might face. The service highlights IP prefixes and ASN, typically the internet service provider or other relevant data, to help in troubleshooting and optimizing performance.

Utilizing CloudWatch Internet Monitor with Amazon WorkSpaces Personal

CloudWatch Internet Monitor helps organizations monitor the internet connection quality of their WorkSpaces users. This includes monitoring IP prefixes and ASN to detect performance issues. By using this service, IT managers can proactively address connectivity problems, ensuring a smoother and more reliable remote work experience. This integration is particularly valuable for organizations with globally distributed teams.

Enhanced Management for Amazon WorkSpaces Personal with ControlUp

In the fast-paced digital world, businesses are increasingly adopting cloud-based desktops to provide flexible and secure work environments. ControlUp offers a comprehensive observability solution for managing and optimizing digital infrastructure and applications. This is crucial for distributed work environments with complex technology stacks. ControlUp’s rich feature set allows IT administrators to monitor, manage, and enhance the performance of their cloud-based desktops effectively.

Native Entra ID and Intune Support for Amazon WorkSpaces

AWS now offers Microsoft Entra ID and Intune integration with Amazon WorkSpaces Personal, allowing customers to choose the best virtual desktop solution for their needs. This integration provides enhanced flexibility, supporting a range of infrastructure, operating systems, and productivity applications. With Entra ID and Intune, businesses can streamline identity and device management, enhancing security and simplifying administrative tasks.

New Omnissa Horizon 8 Features Supported by Amazon WorkSpaces Core

Omnissa, formerly VMware, announced new features for Horizon 8 in version 2406, which are now supported by Amazon WorkSpaces Core. These features include automated provisioning enhancements and power management improvements, which help reduce costs, improve security, and optimize user productivity. By leveraging these new capabilities, businesses can ensure a more efficient and secure virtual desktop environment.

How Cloud2 Can Help

Cloud2, Denmark’s leading AWS consultancy, offers expert guidance in implementing and optimizing Amazon WorkSpaces solutions. Whether it’s integrating CloudWatch Internet Monitor, enhancing management with ControlUp, leveraging Entra ID and Intune, or utilizing new Omnissa Horizon 8 features, Cloud2 provides tailored services to meet your business needs. Contact Cloud2 for personalized support and to maximize the value of your AWS investments.

Read the full blog posts from AWS

Official Machine Learning Blog of Amazon Web Services

Discover how to leverage the power of AWS AI/ML services for Text-to-SQL use cases, optimize prompt engineering with Amazon Bedrock, and accelerate generative AI inference. Learn about tenant isolation, indexing website content, and building end-to-end RAG solutions. Dive into the AWS DeepRacer League’s success and explore personalized news recommendations, intelligent email automation, and securing RAG applications.

Best Practices for Prompt Engineering with Meta Llama 3 for Text-to-SQL Use Cases

Explore a solution using ChromaDB’s vector engine and Meta Llama 3, hosted on SageMaker JumpStart, for Text-to-SQL use cases. Learn the history of Meta Llama 3, best practices for prompt engineering, and an architecture pattern using few-shot prompting and RAG to extract schemas stored as vectors in ChromaDB.

Implementing Advanced Prompt Engineering with Amazon Bedrock

Gain insights and practical examples for balancing and optimizing prompt engineering workflows with Amazon Bedrock. Focus on advanced prompt techniques for foundation models from leading AI companies. Harness the full capabilities of Amazon Bedrock, ensuring clear communication while mitigating risks.

Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker

Learn how to use generative AI models and LLMs with NVIDIA NIM integration on SageMaker. This post demonstrates deployment, optimization of performance, and cost-management for state-of-the-art models on SageMaker.

Celebrating the Final AWS DeepRacer League Championship and Road Ahead

The AWS DeepRacer League, the world’s first autonomous racing league powered by ML, concludes after six years. Celebrate the achievements of 560,000 participants from 150+ countries and look forward to future innovations in AWS DeepRacer.

Provide a Personalized Experience for News Readers Using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock

Discover how to recommend breaking news to users using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock. Provide articles to interested users within seconds of publication, leveraging the power of AWS AI/ML services.

Implementing Tenant Isolation Using Agents for Amazon Bedrock in a Multi-Tenant Environment

Implement tenant isolation with Amazon Bedrock agents in a multi-tenant e-commerce application. Develop an AI assistant or chatbot, offering tenant-specific information like return policies and user-specific details such as order status updates.

Connect the Amazon Q Business Generative AI Coding Companion to GitHub Repositories with Amazon Q GitHub (Cloud) Connector

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