Streaming at Scale with Azure Event Hubs for Kafka Developers Part 2: Processing Streaming Data with Azure Functions in Python

Glenn Prince

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3 Mar 2022CPOL7 min read

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In this article, we develop several Azure Functions in Python to process the payload we receive and save the data to a Cosmos DB instance.

Here we create an Azure Event Hub that allows Kafka-based applications to send messages, showing how some minor configuration changes within our Kafka applications can connect to Event Hubs. Then we create an Azure Function that listened to the Event Hub and pushed the content of messages into a Cosmos DB.

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This article is part of the series 'Streaming at Scale with Azure Event Hubs for Kafka Developers ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Glenn Prince

Architect

United States

Hi! I'm a Solution Architect, planning and designing systems based in Denver, Colorado. I also occasionally develop web applications and games, as well as write. My blog has articles, tutorials and general thoughts based on more than twenty years of misadventures in IT.

Streaming at Scale with Azure Event Hubs for Kafka Developers Part 2: Processing Streaming Data with Azure Functions in Python

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