Introduction
Leveraging serverless capabilities using Azure services
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What you should know
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1. Understanding Serverless Computing
Streaming data with serverless and AI
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Our serverless weather station
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2. IoT Hub
What is IoT Hub?
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Provisioning IoT Hub
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Connecting devices
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Adding a Raspberry Pi simulator
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3. Stream Analytics
What is Stream Analytics?
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Provisioning an ASA job
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Defining an Azure Stream Analytics job
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Storing data using Stream Analytics
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Job performance monitoring
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4. Event Hubs
Event Hubs overview
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Provisioning an event hub
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Stream Analytics query language
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Send alerts to Event Hubs with Stream Analytics
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Comparing messaging services
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5. Azure Functions
Introducing function apps
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Create a function app
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Working with triggers
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Manage and monitor functions
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Logging in functions
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Working with Application Insights
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Working with Kudu
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Visual Studio function project
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Create a function with Visual Studio
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Deploy function from Visual Studio
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VS Code function project
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Create a function with VS Code
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Options for deploying a function from VS Code
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6. Logic Apps and OpenAI
Azure OpenAI Service
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Provisioning an Azure OpenAI Service
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What are Logic Apps?
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From queue to AI to email with Logic Apps
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Conclusion
Exploring Azure IoT Central and reference architectures
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Teardown
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Next steps: Learning more about Azure serverless computing
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Ex_Files_Azure_Serverless_Computing.zip
(25.9 MB)