How To: Send requests to Azure Storage from Azure API Management
In this How To, I will show a simple mechanism for writing a payload to Azure Blob Storage from Azure API Management. Some examples where this is useful is implementing a Claim-Check pattern for large messages or to support message logging when Application Insights is not suitable.Introducing a better way to integrate Azure AD with API Management
Since, well, the beginning of Azure API Management, you've been able to validate that the Json Web Token (JWT) coming into your Azure API Management service is valid before passing it onto the backend service. Azure Active Directory (AAD) is a mainstay of enterprise APIs, providing authentication and authorization controls for a wide variety of APIs from M365 APIs to custom-built APIs. It should be the centerpiece of your enterprise API security infrastructure. Wouldn't it be wonderful if they worked better together.Azure Tips and Tricks - How to move Azure Storage Blobs between containers
Azure Storage is a versatile and secure storage service. You can create storage containers with folder hierarchies and store Blobs in them. But it isn't very straightforward to move Blobs between containers or between storage accounts. Azure offers several options to help with this, including Azure Storage Explorer.Azure Tips and Tricks - How to run Logic Apps in a Docker container
You can run Azure Logic Apps anywhere, on the Azure Functions Runtime. This enables you to deploy and run Logic Apps on your local machine, in your own datacenter, or in another cloud. And you can also run Azure Logic Apps in a Docker container.
Introducing Vector Search Similarity Capabilities in Azure Cache for Redis Enterprise
The latest wave of generative AI, like large language models, has paved the way for significant advancements in the utilization of vector embeddings and vector similarity search. Large language models, such as OpenAI's GPT, are capable of learning complex patterns and representations from vast amounts of text, enabling them to generate rich semantic embeddings for words, sentences, and documents. By leveraging these learned embeddings, developers can now harness the power of vector similarity search, revolutionizing the way information is organized, retrieved, and analyzed in various domains, including fraud detection, recommendation systems, and information retrieval.Study guide: GitHub Actions certification
Have you heard about the GitHub Actions certification? This credential validates your expertise in using GitHub Actions to automate workflows. In this study guide, you’ll learn everything you need to know to prepare for the certification and demonstrate your skills effectively.
