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lambdadeployment random failures when running Greengrass IDT

0

When running Greengrass IDT, it's observed that we have random failures in lambdadeployment group. The failure sometimes is:

Group Name: lambdadeployment
    Test Name: lambdadeploymenttest
        Reason: failed to validate lambda publish: Command '{sudo /tmp/idt/busybox cat /greengrass/v2/logs/idt-ggv2-lambda-function-idt-5814865259128907976.log map[] 0s}' exited with code 1. Error output: cat: can't open '/greengrass/v2/logs/idt-ggv2-lambda-function-idt-5814865259128907976.log': No such file or directory.

& sometimes is:

Group Name: lambdadeployment
    Test Name: lambdadeploymenttest
        Reason: failed to verify lambda qualification component deployment: timed out.

After investigating GG Nucleus logs on the device, I can see that: In case of success, the deployment contains idt-ggv2-lambda-function-idt component:

2024-11-15T12:33:41.123Z [INFO] (pool-2-thread-11) com.aws.greengrass.deployment.DeploymentService: Received deployment document in queue. {document={"deploymentId":"2780b179-d911-446e-86ac-00e4cfe8aa8d","schemaDate":"2021-05-17","configurationArn":"arn:aws:greengrass:eu-west-1:<aws-id>:configuration:thing/Device-Cassini-Greengrass-Thing-testdevice-771112:1","creationTimestamp":1731674011743,"components":{"idt-ggv2-lambda-function-idt-8200271572879804311":{"version":"1.0.0"},"aws.greengrass.Nucleus":{"version":"2.12.0"}},"failureHandlingPolicy":"ROLLBACK","requiredCapabilities":[],"componentUpdatePolicy":{"timeout":60,"action":"NOTIFY_COMPONENTS"},"configurationValidationPolicy":{"timeout":60}}, serviceName=DeploymentService, currentState=RUNNING}

In case of failure, it's an empty deployment:

2024-11-15T11:57:39.951Z [INFO] (pool-2-thread-13) com.aws.greengrass.deployment.DeploymentService: Received deployment document in queue. {document={"deploymentId":"5e2e6f68-39ef-452d-a91a-9484124fe249","schemaDate":"2021-05-17","deploymentName":"EmptyDeployment","configurationArn":"arn:aws:greengrass:eu-west-1:<aws-id>:configuration:thing/Device-Cassini-Greengrass-Thing-testdevice-770952:1","creationTimestamp":1731671845983,"components":{},"failureHandlingPolicy":"ROLLBACK","requiredCapabilities":[],"componentUpdatePolicy":{"timeout":60,"action":"NOTIFY_COMPONENTS"},"configurationValidationPolicy":{"timeout":60}}, serviceName=DeploymentService, currentState=RUNNING}

However, I don't know what happens differently in both cases to lead to this empty deployment. Also, I couldn't reproduce the failure when running lambdadeployment group alone.

As this issue is totally random, and is observed on different devices:

  • What could cause this behavior?
  • How can this be debugged further?
  • Is lambdadeployment group generally expected to fail sometimes when running the whole suite?

General info:

  • Nucleus Version: 2.12.0
  • IDT Version: 4.9.4
  • Here's the used IDT access policy.
  • Nucleus is started with this command on the device after provisioning:
sudo -E java -Droot="${GG_HOME}" -Dlog.store=FILE -jar "${GG_HOME}/alts/init/distro/lib/Greengrass.jar"
                                 --init-config "${GG_HOME}/generated_config.yml"
                                 --aws-region "${AWS_DEFAULT_REGION}"
                                 --thing-name "${IOT_THING_NAME}"
                                 --thing-group-name "${IOT_THING_GROUP}"
                                 --component-default-user ggc_user:ggc_group
                                 --setup-system-service true
                                 --start true
                                 --provision false
2 Answers
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The random failures you're experiencing in the lambdadeployment group during Greengrass IDT testing could be caused by several factors. Let's address your questions and provide some insights:

  1. Possible causes of this behavior:

    • Network connectivity issues: Intermittent network problems could lead to deployment failures or timeouts.
    • Resource constraints: If the device is under heavy load or has limited resources, it may occasionally fail to complete the deployment in time.
    • Race conditions: There might be timing-related issues in the deployment process that only manifest occasionally.
    • Permissions: Inconsistent or incorrect permissions could cause sporadic failures.
  2. Debugging steps:

    • Enable verbose logging: Increase the log level for AWS IoT Greengrass to get more detailed information about the deployment process.
    • Monitor system resources: Check CPU, memory, and disk usage during the test runs to identify any resource constraints.
    • Analyze Greengrass logs: Examine the Greengrass runtime logs (/greengrass/v2/logs/) for any error messages or warnings that occur during failed deployments.
    • Check network connectivity: Monitor the network connection during test runs to identify any intermittent issues.
    • Verify IAM permissions: Ensure that the IAM role used for IDT has all the necessary permissions for Lambda deployments.
  3. Expectations for lambdadeployment group:

    While occasional failures can occur due to various factors, the lambdadeployment group is not generally expected to fail randomly when running the whole suite. Consistent random failures indicate an underlying issue that needs to be addressed.

To further investigate:

  • Compare successful and failed runs: Look for any differences in system state, network conditions, or other environmental factors.
  • Isolate the problem: Try running the lambdadeployment group test multiple times in isolation to see if you can reproduce the issue consistently.
  • Check for conflicting processes: Ensure no other processes or services are interfering with the Greengrass deployment.
  • Verify device configuration: Double-check that the device is correctly configured for Greengrass and Lambda function execution.
  • Review IDT logs: Examine the IDT logs for any additional error messages or warnings that might provide more context.

If the issue persists after these steps, consider reaching out to AWS support for further assistance, as there may be a specific issue with your setup or a potential bug in the IDT or Greengrass components.
Sources
IDT for AWS IoT Greengrass troubleshooting - AWS IoT Greengrass
Troubleshooting AWS IoT Greengrass - AWS IoT Greengrass
Troubleshooting IDT for AWS IoT Greengrass V2 - AWS IoT Greengrass

answered 2 years ago

0

Lets analyze the issue and the differences between the logs:

Successful Deployment Log:

Contains a valid deployment with two components: "idt-ggv2-lambda-function-idt-8200271572879804311" and "aws.greengrass.Nucleus" .The Lambda function component is included in the deployment

Failed Deployment Log:

Shows an "EmptyDeployment" with no components. The Lambda function component is missing from the deployment

Key Differences:

Component Inclusion: The successful deployment includes the necessary Lambda function component, while the failed deployment does not.

Possible Causes:

  1. Race Condition: IDT might be creating an empty deployment and the actual Lambda deployment simultaneously.
  2. IDT Configuration Issue: Intermittent problem in IDT's deployment preparation process.
  3. AWS Service Latency: Delays in Lambda function creation or retrieval.
  4. Resource Constraints: Device or AWS account near resource limits.

Debugging Steps:

  1. IDT Logs Analysis:

  2. Greengrass Core Logs:

  3. Lambda Function Verification:

  4. Network Analysis:

  5. Deployment Sequence Analysis:

  6. Component Dependency Check:

  7. Permissions Audit:

    • Review IDT access policy for necessary permissions for creating and deploying Lambda functions. How this helps: Confirms that IDT has all required permissions, eliminating permission-related deployment issues.
  8. Local Development and Testing:

Recommendations:

  1. Update IDT and Greengrass to latest versions.
  2. Increase logging verbosity in both IDT and Greengrass.
  3. Ensure a clean and consistent starting state for each test run.

If issues persist, engage AWS support with detailed logs and reproduction steps.

For general troubleshooting guidance: https://docs.aws.amazon.com/greengrass/v2/developerguide/troubleshooting.html

Investigating these areas and utilizing the provided documentation, you should be able to identify the root cause of the intermittent failures in your Lambda deployments. Each debugging step targets a specific aspect of the deployment process, helping to narrow down the potential causes of the random failures.

AWS

answered 2 years ago

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