IoT isn’t anything new, companies have been using devices to measure and quantify data for a while now. So why is it that IoT has become a buzzword in recent years?
While there’s no one answer, there are a few contributing factors.
First, there are a lot of options for devices, and they’re reasonably inexpensive. With so many options for devices it provides a lot of potential for tools and languages. Having this sort of diversity with tools and languages allows engineers to use higher level languages and prototype very quickly.
Once you have a device, you need to be able to get the data; which brings us to another contributing factor, which is internet connectivity. Internet connectivity is just about everywhere making getting data from devices easier than ever.
With the low cost of devices, and internet connectivity everywhere, you could deploy tens of thousands of devices; however supporting so many devices, especially if they’re connect simultaneously, is an infrastructural challenge. So another contributing factor is the cloud, which helps us to build highly scalable, highly available solutions.
The cloud’s benefit to IoT doesn’t end there. Major cloud vendors also offer tools for big data and machine learning. After all, what’s the point of collecting all of that data if you can’t use it to gain insights.
In this learning path we’ll take a look at how Azure can help with your IoT solutions.
From its device SDKs across multiple programming languages, to IoT Hub providing a device registry and scalable messaging infrastructure, Azure has a lot to offer.
If you’re working in the realm of IoT then you can’t ignore Azure. IoT Hub has a wonderful blend of ease-of-use and functionality. It also integrates well with other services such as Azure Functions and Stream Analytics, which extend its functionality.
- Introduction to Azure IoT Hub
- An introduction to Azure IoT Hub
- Processing IoT Events and Data
- How to process events and data using different Azure services
- Introduction to Azure Functions
- Like a fine wine, Azure Functions pairs well with IoT Hub
- Introduction to Azure Cosmos DB
- Cosmos DB is another great pairing
So if you’re interested in learning more about IoT with Azure the click on the first course to get started!
Learning Path Steps
Introduction to Azure IoT Hub IoT isn't anything new, in fact it's been something companies have been doing since before it was named IoT. So you might wonder, if it's not new, then why all the hype? It's a good question and the answer is complex. However ...
Processing Azure IoT Hub Events and Data Once your data is in IoT Hub, you need to be able to access it; ideally with different processors. Using different processors allows you to break out the responsibilities of each. Azure provides a few options for p...
An Introduction to Azure Functions Serverless Computing has emerged as a capable and low-friction means to execute custom logic in the public cloud. Whether you're using Amazon Lambda, Google Cloud Functions, or Azure Functions, you have a wide variety of ...
Cosmos DB is one of many database solutions in a crowded market. From DynamoDB to Cassandra to CockroachDB, the questions one would naturally ask when examining Cosmos DB are, “what makes it special and how can I get started with it?” This course answers b...
Replaced "Introduction to Azure DocumentDB" with "Introduction to Azure Cosmos DB"
About the Author
Ben Lambert is the Director of Engineering and was previously the lead author for DevOps and Microsoft Azure training content at Cloud Academy. His courses and learning paths covered Cloud Ecosystem technologies such as DC/OS, configuration management tools, and containers. As a software engineer, Ben’s experience includes building highly available web and mobile apps.
When he’s not building the first platform to run and measure enterprise transformation initiatives at Cloud Academy, he’s hiking, camping, or creating video games.