AWS Lambda
Catch errors and inefficiencies in Lambda and learn the best practice rules for AWS Lambda
Dashbird continuously monitors and analyses your serverless applications to ensure reliability, cost and performance optimisation and alignment with the Well Architected Framework.
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AWS Lambda: Task timed out after X seconds
When your error message says Task timed out after XX.00 seconds it means that AWS intentionally stopped the task once it hit a run-time of XX seconds.
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AWS Lambda: Out of Memory
This error message means that you have exceeded the memory allocation of your Lambda function.
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AWS Lambda: Process exited before completing request
The message "Process exited before completing request" means that the function exited before calling context.done (or context.succeed, etc.).
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AWS Lambda configuration error
This error occurs when the Lambda function is not able to initialise and the execution halts before reaching the handler function.
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AWS Lambda .NET errors
An exception is any error condition or unexpected behavior that is encountered by an executing program.
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AWS Lambda Node.js errors and exceptions
An exception is any error condition or unexpected behavior that is encountered by an executing program. Exceptions can be thrown because of a fault in your code or in code that you call.
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AWS Lambda Python errors
An exception is any error condition or unexpected behavior that is encountered by an executing program. Exceptions can be thrown because of a fault in your code or in code that you call.
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AWS Lambda Go errors
An exception is any error condition or unexpected behavior that is encountered by an executing program.
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Lambda function is nearing timeout
Why do I see this? One of your functions has been nearing the limit of 90% during the last 30 minutes. What does this mean? When you deploy a Lambda function, you need to configure a timeout. After the configured time, the Lambda service will force your function to stop. For your function, this will […]
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Lambda function has a high error percentage
Why do I see this? A significant number of one of your function’s invocations are failing. What does this mean? You have some kind of bug in your code that crashes the Lambda runtime. If the error percentage rises but doesn’t go up to 100%, this can be a data-related bug. This event can be […]
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Lambda function is nearing memory limit
Why do I see this? One of your functions uses a dangerously high amount of memory and could hit the limit soon. What does this mean? When you deploy a Lambda function, you need to configure a memory limit for it. To keep costs low, you usually try to find a memory configuration that doesn’t […]
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Lambda function runtime is upgradable
Why do I see this? One of your functions is using an outdated runtime and could be upgraded to a new version. What does this mean? Lambda offers different officially AWS’ supported language runtimes which are updated regularly. Runtime updates can bring many benefits like improved security or performance. AWS also doesn’t support every runtime […]
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Lambda Function is abandoned
Why do I see this? One of your functions didn’t have any invocations for a long time. What does this mean? You have deployed a function to AWS, but it’s never invoked. This can be a bug, and the function should actually be called and do important work, or it can simply be that the […]
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Lambda Function is not tagged
Why do I see this? One of your functions doesn’t have any tags associated with it. What does this mean? Every resource in AWS can be tagged. Tags are metadata for your resources and help to understand them better. If a Lambda function isn’t tagged, it becomes harder to reason about it in the future. […]
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