Service - AWS Resource Management

Overview

AWSResourceManagement is a comprehensive service designed to clear caches for functions used in other services, ensuring consistently high performance and reliability across the system. By systematically removing outdated data and reloading relevant configurations, this service helps maintain accurate, up-to-date information in each function it manages. Whether you need to integrate new settings or refresh existing components, AWSResourceManagement streamlines cache operations to enhance overall efficiency and stability throughout your infrastructure.

Introduction

The fambda function is a utility within the test123 service designed to process numerical data efficiently. It simplifies numerical operations, enhancing both performance and code maintainability.

Example

Example usage of the lambda function:

const result = await lambda.invokeAsync(
      event._izContext,
      lambdaSharedLib.lambdaFunctionName('Function', AWSRM),
      {
        "serviceTag": "YourServiceTagTarget",
        "functionName": "YourFunctionNameTarget"
      }
);

Lambda Functions

The AWS Resource Management service includes six lambda functions to clean up the cache:

AWSRMTestFunction

• Description: Invokes an asynchronous AWS Lambda function.
• Parameters:
  • serviceTag (string): Name of the ServiceTag.
  • functionName (string): Name of the function to invoke within the service.

{
  "serviceTag": "YourServiceTagTarget",
  "functionName": "YourFunctionNameTarget"
}

Output: CASE Success

{
  "status": "complete",
  "errorFounds": []
}

CASE Fail
CASE if YourFuntionNameTarget is missing in s3 LambdaFunctions.json‎
errorFounds return functionName

{
  "status": "error",
  "errorFounds": ["YourFuntionNameTarget"]
}

CASE LambdaFunctions.json is Missing in s3

{
  "status": "error",
  "errorFounds": ["LambdaFunctions.json not found"]
}

AWSRMTestFunctions

• Description: This function invokes multiple Lambda functions per service to clear their caches and initiate cold starts, ensuring they reload the latest configurations. This enables efficient cache management and simultaneous updates across your services.
• Parameters:
  • clearLambdaList (array of objects, required): List of services and their corresponding Lambda functions to invoke.
    • serviceTag (string, required): Name of the ServiceTag.
    • functionNames (string, required): Names of the functions to invoke within the service.

{
   "clearLambdaList":[
      {
         "serviceTag":"YourServiceTagTarget1",
         "functionNames":[
            "YourFuntionNameTarget1",
            "YourFuntionNameTarget2"
         ]
      },
      {
         "serviceTag":"YourServiceTagTarget2",
         "functionNames":[
            "YourFuntionNameTarget1"
         ]
      }
   ]
}

Output: CASE Success

{
  "status": "complete",
  "errorFounds": []
}

CASE Fail
CASE if YourFuntionNameTarget is missing in s3 LambdaFunctions.json
errorFounds return functionName

{
  "status": "error",
  "errorFounds": ["YourFuntionNameTarget"]
}

CASE LambdaFunctions.json is Missing in s3

{
  "status": "error",
  "errorFounds": ["LambdaFunctions.json not found"]
}

Best Practices

• **Validate Inputs:** Always ensure that the input provided to the fambda and lambda functions is of the expected type and within acceptable ranges.
• **Handle Exceptions:** Implement error handling to manage unexpected inputs or failures gracefully.
• **Write Unit Tests:** Develop unit tests to cover various scenarios, ensuring all functions behave as intended.
• **Optimize Performance:** Monitor the performance of the functions and optimize as necessary for large-scale data processing.