Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware, and empowers developers to focus on differentiating work.
When working with AWS SQS, you might encounter the error code AWS.SimpleQueueService.InvalidParameterValue. This error indicates that one or more of the parameter values provided in your request are invalid.
The AWS.SimpleQueueService.InvalidParameterValue error occurs when a request to SQS includes a parameter that does not conform to the expected format or constraints. This can happen due to a variety of reasons, such as incorrect data types, exceeding size limits, or using unsupported characters.
For instance, if you attempt to create a queue with a name that includes invalid characters or exceeds the maximum length of 80 characters, you will encounter this error.
To resolve the AWS.SimpleQueueService.InvalidParameterValue error, follow these steps:
Check the values of the parameters you are passing in your request. Ensure they meet the required format and constraints. For example, queue names must be between 1 and 80 characters long and can contain alphanumeric characters, hyphens (-), and underscores (_).
Ensure that the data types of your parameters match the expected types. For instance, if a parameter expects an integer, passing a string will trigger this error.
Refer to the AWS SQS API Reference for detailed information on parameter constraints and requirements.
Consider using AWS SDKs, which provide built-in validation for parameter values, reducing the likelihood of encountering this error. You can find more information on AWS SDKs here.
By carefully reviewing and validating your parameter values, you can avoid the AWS.SimpleQueueService.InvalidParameterValue error and ensure smooth operation of your AWS SQS-based applications. Always refer to the official AWS documentation for the most accurate and up-to-date information.
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(Perfect for DevOps & SREs)
