Azure Functions Error Handling using Retries

Handling errors in Azure Functions is important to avoid lost data and missed events and monitor your application's health. It’s also essential to understand the retry behaviors of event-based triggers.

How to handle errors in Azure Functions?

1. Retry Strategy
2. Application Insights
3. Structured Error Handling
4. Design for Idempotency

You can use the above strategies to handle errors in Azure Functions, in this blog we will discuss Retry Strategy.

What is the Retry Strategy?

Several function binding extensions provide built-in support for retries. In addition, the runtime lets you define retry policies for Timer, Kafka, and Event Hubs-triggered functions.

Retries

There are two types of retries available for your functions:

• Built-in retry behaviors of individual trigger extensions
• Retry policies provided by the Functions runtime

Retry Policies

Retry Plocy tells the runtime to rerun a failed execution until either successful completion occurs or the maximum number of retries is reached.