AWS Lambda Rnutime and Functions name and CloudWatch Dashboard Setup

2024-08-02 619 words 3 minutes

Contents

🇦 🇼 🇸 Lambda Rnutime and Functions name and CloudWatch Dashboard Setup 🪧 ☁️ 🕙 📈

This document provides step-by-step instructions to set up a custom CloudWatch Dashboard that shows Lambda Runtime with version and Lambda Function name and how many on our AWS Account

Step 1: Create a Custom Policy for Lambda Function

Create a Custom Policy 🧾

Go to IAM in the AWS Management Console.
Click on Create Policy.
Select the JSON tab and paste the following policy:

For custom policy GitHub repo here

json

Copy code

{
"Version": "2012-10-17",
"Statement": [
    {
        "Effect": "Allow",
        "Action": [
            "lambda:ListFunctions",
            "cloudwatch:PutMetricData"
        ],
        "Resource": "*"
    }
]
}

Click on Next.
Provide a suitable name for the custom policy and click on Create policy.

Step 2: Create a Lambda Function ⚙️

Create the Lambda Function
Go to Lambda in the AWS Management Console.
Click on Create function.
Provide a suitable function name.
Select runtime (Python 3.8).
Click on Create function.

Assign IAM Policy to Lambda Function Role 🙋

Click on Configuration > Permissions.
Click on the Role name to open the IAM Role page.
Click on Add permissions > Attach policies.
Click on Filter policies and select Customer managed.
Search for the policy created in Step 1, select it, and click on Add permissions.

➕ Add Lambda Function Code

Go back to the Lambda function.
Click on Code.
In the Lambda function section, paste the following code
After pasting the code click on Deploy.
Lambda Code for Bucket Versioning Status

Access the GitHub repo here

python Copy code

import boto3
import datetime

lambda_client = boto3.client('lambda')
cloudwatch_client = boto3.client('cloudwatch')

def lambda_handler(event, context):
paginator = lambda_client.get_paginator('list_functions')
response_iterator = paginator.paginate()

runtime_counts = {}
function_runtimes = {}

for response in response_iterator:
    for function in response['Functions']:
        runtime = function['Runtime']
        function_name = function['FunctionName']
        function_runtimes[function_name] = runtime
        if runtime in runtime_counts:
            runtime_counts[runtime] += 1
        else:
            runtime_counts[runtime] = 1

# Publish metrics to CloudWatch
metric_data = []
for runtime, count in runtime_counts.items():
    metric_data.append({
        'MetricName': 'LambdaRuntimeUsage',
        'Dimensions': [
            {
                'Name': 'Runtime',
                'Value': runtime
            },
        ],
        'Timestamp': datetime.datetime.utcnow(),
        'Value': count,
        'Unit': 'Count'
    })

# Publish function names and runtimes to CloudWatch as logs
for function_name, runtime in function_runtimes.items():
    cloudwatch_client.put_metric_data(
        Namespace='Lambda/FunctionRuntimes',
        MetricData=[
            {
                'MetricName': function_name,
                'Dimensions': [
                    {
                        'Name': 'Runtime',
                        'Value': runtime
                    }
                ],
                'Timestamp': datetime.datetime.utcnow(),
                'Value': 1,
                'Unit': 'Count'
            }
        ]
    )

if metric_data:
    cloudwatch_client.put_metric_data(
        Namespace='Lambda/RuntimeUsage',
        MetricData=metric_data
    )

return {
    'statusCode': 200,
    'body': 'Metrics published successfully.'
}

Test the Lambda Function ✅

Click on Test > Configure test event.
Provide an event name.
Click on Save.
Click on Test to run the Lambda function.

Step 3: Create a CloudWatch Dashboard 🪧

Create a Dashboard
Go to CloudWatch in the AWS Management Console.
Click on Dashboards > Create dashboard.
Provide a name and click on Create dashboard.

Add Widgets to the Dashboard

Click on Add widget.
Select Data table and click on Next.
Select the namespace Lambda/FunctionRuntimes and metric Runtime
Select all Runtime and click on Create widget.
Click on the three dots of the widget and select Edit.
Click on Data table and select Only display summary columns in the table.
In Summary, select Average and click on Update widget.

📆 Schedule for Lambda Trigger 🔘

Go to AWS CloudWatch.
Click on Rules.
Amazon EventBridge will open. Select Schedules.
Click on Create Schedule.
Provide a name.
Schedule group should be (default).
Schedule pattern (Recurring schedule).
Schedule type (Rate-based schedule).
Rate expression (days).
Flexible time window (15 minutes).
Leave the timeframe empty and click on Next.

For Target 🎯

Select AWS Lambda.
Invoke the Lambda function created earlier and click on Next.
Leave the next page settings as default and click on Next.
Review all settings and click on Create schedule. This schedule will run once a day.