Building Static Web Apps with database connections: Best Practices
With the announcement of Static Web Apps' database connections feature, when should you use database connections versus building your own backend APIs? What is Data API builder and how does it relate to Static Web Apps' database connections feature? We cover these topics and more in this blog post.Announcing Distributed Functions (Preview) for Azure Static Web Apps
Today, we're announcing distributed functions for Azure Static Web Apps managed functions. With distributed functions, the managed functions of your static web app are distributed to regions of high request loads, improving your app performance, decreasing your network latency, and enhancing your request responsiveness.Self Hosted AI Application on AKS in a day with KAITO and CoPilot.
In this blog post I document my experience of spending a full day using KAITO and Copilot to accelerate deployment and development of a self managed AI enabled chatbot deployed in a managed cluster. The goal is to showcase how quickly using a mix of AI tooling we can go from zero to a self hosted, tuned LLM and chatbot application. At the top of this article I want to share my perspective on the future of projects such as KAITO. At the moment I believe KAITO to be somewhat ahead of its time, as most enterprises begin adopting abstracted artificial intelligence it is brilliant to see projects like KAITO being developed ready for the eventual abstraction pendulum to swing back, motivated by usual factors such as increased skills in the market, cost and governance. Enterprises will undoubtedly in the future look to take centralised control of the AI models being used by their enterprises as GPU's become cheaper, more readily available and powerful. When this shift happens open source projects like KAITO will become common place in enterprises. It is also my opinion that Kubernetes lends itself perfectly to be the AI platform of the future a position shared by the CNCF (albeit both sources here may be somewhat biased). The resiliency, scaling and existence of Kuberentes primitives such as "Jobs" mean that Kubernetes is already the de-facto platform for machine learning training and inference. These same reasons also make Kuberentes the best underlying platform for AI development. Companies including DHL, Wayve and even OpenAI all run ML or AI workloads already on Kubernetes. That does not mean that Data Scientists and engineers will suddenly be creating Dockerfiles or exploring admission controllers, Kubernetes instead, as a platform will be multiple layers of abstraction away (Full scale self service platform engineering) however the engineers responsible for running and operating the platform will hail projects like KAITO.Steps to Load a Power BI Report on your React Application.
This blog is about embedding Power BI reports in a React project. It covers the steps required to set up the necessary dependencies and create the embed configuration. The aim is to enable React developers to easily integrate Power BI reports into their web applications.
