Azure Functions: A Step-by-Step Guide to Building Scalable Applications
✅ Description
In this video, I will show you how to build scalable applications with Azure Functions. Azure Functions are serverless compute resources that can be used to run code in response to events. This makes them ideal for building scalable applications that can be easily scaled up or down as needed.
I will walk you through the process of creating an Azure Function, writing code for the function, and deploying the function to Azure. I will also show you how to test the function and how to monitor its performance.
____________________________________________________________________________
🎥 Timestamp
00:00 Intro
00:46 What is Azure Function?
1:53 Scale
3:30 Scenarios
4:24 Supported bindings
6:06 Getting started with Azure Function
8:00 Best Practices for reliable Azure Functions
9:30 Deploy Azure Function
____________________________________________________________________________
▶️ *Sé mi amigo y únete a mis redes sociales:*
🎥 - YouTube: / @soloshamuel
💼 - LinkedIn: / shamuel-manrrique-0b582412a
📓 - Medium: / smmanrrique
📸 - Instagram: / smmanrrique
👥 - Facebook: / shamuelmanuel
🐦 - Twitter: / smmanrrique
____________________________________________________________________________
*🎓*About me:**
Hi, my name is Shamuel Manrrique. I'm a Data Engineer with experience in business intelligence, information technology and software development. During my career, I have provided business and IT professional services for different industries like software, manufacturing, and services around the world.
I would like to share my knowledge and experience with you. This is the channel I wish I had subscribed when I started my career. If you are thinking to about becoming a Data Engineer or using Data Engineering in your current job, you've come to the right place. On this channel, I talk about tools, techniques, and topics that I experience on a daily basis. As an Engineer, you have to figure out how to ingest, process, transform and store data to enable Data Scientists, Analysts, or customers to do awesome stuff. Using tools like Microsoft Azure, Databricks, Apache Spark, Python, Azure Data Factory and many more. That's what data engineering, the plumbing of data science, is all about.