Azure Infrastructure Workloads
What’s new
- Added Azure Diagrams - Architecture Advisor.
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Deep links
- Azure Diagrams - Architecture Advisor: This tool enables collaborative diagram design and provides guidance on service integration in architecture.
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
Data AI Workloads - Azure OpenAI
What’s new
- Added OpenAI end-to-end baseline reference implementation
- Added Baseline OpenAI end-to-end chat reference architecture
- Added Building your own copilot – yes, but how?
- Added Azure OpenAI as a central capability with Azure API Management
Deep links
- Baseline OpenAI end-to-end chat reference architecture: This article provides a baseline architecture for building and deploying enterprise chat applications that use Azure OpenAI large language models. The architecture employs Azure Machine Learning (AML) prompt flow to create executable flows that orchestrate the workflow from incoming prompts out to data stores to fetch grounding data for the LLMs, along with any other Python logic required. The executable flow is deployed to an Azure Machine Learning compute cluster behind a managed online endpoint. (Microsoft Learn)
- OpenAI end-to-end baseline reference implementation: This reference implementation illustrates an approach for authoring and running a chat application in a single region with Azure Machine Learning and OpenAI. (GitHub)
- Building your own copilot – yes, but how? (Part 1 of 2): This blog post provides an overview of some of the main choices you have in the Microsoft technology ecosystem. Part 1 will look into low code tools and out-of-the-box features, while part 2 will focus on code-heavy and extensible options. (Tech Community)
- Azure OpenAI as a central capability with Azure API Management: Unleash the power of Azure OpenAI to your application developers in a secure & manageable way with Azure API Management and Azure Developer CLI. (GitHub)
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
Data AI Workloads - Microsoft Fabric
What’s new
- Added Microsoft Fabric Workshops and Readiness.
Deep links
- Fabric Workshops: This repository is a guide for Microsoft Fabric Workshops and Readiness.
Visit the extended Partner Crucible page on this Topic Page for more partner resources.
Business Applications Workloads
What’s new
- Added Setting up a proof of concept for Resource Scheduling Optimization.
Deep links
- Setting up a proof of concept for Resource Scheduling Optimization: Stages and guidance for a successful proof-of-concept (POC) for Resource Scheduling Optimization.
Visit the extended Partner Crucible page on this Topic Page for more partner resources.