Podcast Episode: Microsoft Fabric Deployment Pipelines — A Complete Deep Dive
Pip: If you have ever manually copied a report from a dev workspace to production and immediately regretted it, Praveen
Azure for developers
Pip: If you have ever manually copied a report from a dev workspace to production and immediately regretted it, Praveen
Choosing the right AI model for your application doesn’t have to be guesswork. Microsoft Azure AI Foundry provides a powerful, end-to-end platform to deploy, manually compare, and automatically evaluate large language models using industry-standard quality and safety metrics. In this guide, we walk through the complete workflow — deploying GPT-4.1 and GPT-4.1-mini, running side-by-side playground comparisons, and setting up automated evaluations that score your models on Groundedness, Coherence, Relevance, Fluency, and DeflectionRate. The result? Data-driven confidence in your AI model selection.
The Operate tab in Microsoft Azure AI Foundry is your command center for managing AI at enterprise scale. From monitoring fleet health and tracking agent performance, to enforcing compliance policies and managing token quotas — everything you need to govern your AI resources lives in one place. This article walks through each of the five menu items: Overview, Assets, Compliance, Quota, and Admin.
Microsoft Foundry is a unified platform that brings together everything developers, data scientists, and AI engineers need to build, deploy, and govern AI applications. While the Discover tab is where you explore what is available, the Build tab is where the real work happens.
The Build tab is your construction workspace. It is where you create and manage the actual assets of your AI project: the agents that automate tasks, the models that power them, the tools that extend them, the knowledge that grounds them, and the safeguards that protect them.
The Discover tab in Microsoft Foundry is your exploration hub for everything AI — models, agents, tools, and solution templates, all in one place. Whether you’re evaluating your first model from a catalog of 11,000+, browsing pre-built agent starters for enterprise use cases, or looking for an end-to-end solution template to accelerate your build, the Discover tab is where the journey begins.
Microsoft Foundry is Azure’s boldest move yet in enterprise AI — a unified platform that brings models, agents, tools, and governance under a single roof. Gone are the days of juggling five SDKs, multiple endpoints, and disconnected billing models. With access to over 1,900 models from OpenAI, Anthropic, Mistral, Meta, and more, Foundry gives development teams one consistent API, one portal, and one way to ship production AI — faster than ever before.
Invoking a Fabric Notebook from a Data Pipeline fails with “Failed to create Livy session – OBO token error”? This article walks you through the exact error, why it happens on Fabric Trial capacity, and the one simple fix: leave the Connection field blank in the Notebook Activity settings.
Microsoft Fabric Deployment Pipelines are the foundation of any professional Fabric CI/CD strategy. In this deep dive, we cover everything — from creating your first pipeline and assigning workspaces, through comparing stages and running selective deployments, to configuring deployment rules, parameterizing connections, setting up variable libraries, and understanding the key limitations every practitioner needs to know.
Disaster recovery (DR) is a crucial aspect of cloud storage, ensuring business continuity during outages. Azure Storage provides built-in geo-redundancy to protect against regional failures.
Microsoft has introduced Planned Failover, currently in preview, to allow seamless failover without data loss
In this article, we will learn the basics of how to create the Managed Identity, different types of MI, how to assign them to Azure resources and then learnt what Microsoft Graph is, Install it and then develop PowerShell code to grant API permissions to the Manage Identity as the Portal doesn’t support this yet as of this writing.
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