Build Fault Tolerant Applications With Cassandra API for Azure Cosmos DB

Build Fault Tolerant Applications With Cassandra API for Azure Cosmos DB

Use Retry Policies to handle rate-limiting errors in your Go apps. In this post, we’ll go through : Initial setup and configuration before running the sample application. Execution of various load test scenarios and analyze the results. A quick overview of the Retry Policy implementation.

Azure Cosmos DB is a resource governed system that allows you to execute a certain number of operations per second based on the provisioned throughput you have configured. If clients exceed that limit and consume more request units than what was provisioned, it leads to rate limiting of subsequent requests and exceptions being thrown — they are also referred to as 429 errors.

With the help of a practical example, I’ll demonstrate how to incorporate fault-tolerance in your Go applications by handling and retrying operations affected by these rate limiting errors. To help you follow along, the sample application code for this blog is available on GitHub — it uses the gocql driver for Apache Cassandra.

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Build fault tolerant applications with Cassandra API for Azure Cosmos DB

Learn how to build fault tolerant applications using the Azure Cosmos DB Cassandra API with a custom retry policy for 429 errors. Azure Cosmos DB is a resource governed system that allows you to execute a certain number of operations per second based on the…