AWS Builder Center

Builder Center

Automating Daily Workflows with AWS Lambda and Amazon EventBridge

Automating Daily Workflows with AWS Lambda and Amazon EventBridge

Learn how to build a hands-free automated pipeline on AWS using EventBridge schedules and Lambda to run recurring cloud tasks efficiently.

Automating Scheduled Tasks Using Amazon EventBridge and AWS Lambda

Introduction

In cloud management, repetitive operational tasks such as generating scheduled reports, clearing temporary storage, and triggering data synchronization can consume valuable time when performed manually.
By combining Amazon EventBridge and AWS Lambda, you can create fully automated, serverless workflows that execute reliably on a predefined schedule without requiring a server to run 24 hours a day.
This approach reduces manual effort, minimizes infrastructure management, and allows organizations to focus on their core application features.

Key Services Used

1. Amazon EventBridge

  • Acts as the central event scheduler and event router.
  • Triggers actions based on time intervals or system events.
  • Supports both Rate expressions and Cron expressions for scheduling.
  • Can automatically invoke AWS Lambda functions at the required time.

2. AWS Lambda

  • Executes custom code whenever it is invoked.
  • Does not require a dedicated server.
  • Runs only when needed, helping eliminate idle compute costs.
  • Supports multiple programming languages, including Python.

3. Amazon CloudWatch

  • Captures Lambda execution logs.
  • Helps monitor the status and performance of automated workflows.
  • Makes it easier to identify errors and troubleshoot failed executions.

Step-by-Step Implementation Guide

Step 1: Create the Automation Lambda Function

  1. Log in to the AWS Management Console.
  2. Navigate to AWS Lambda.
  3. Click Create function.
  4. Select Author from scratch.
  5. Enter the function name as ScheduledTaskRunner.
  6. Select Python as the runtime.
  7. Add the following Python script to simulate a scheduled task:
1
2
3
4
5
6
7
8
9
10
11
12
13
import json
import logging

logger = logging.getLogger()
logger.setLevel(logging.INFO)

def lambda_handler(event, context):
logger.info("Cron execution started successfully.")

return {
'statusCode': 200,
'body': json.dumps('Automated workflow completed successfully!')
}
  1. Click Deploy to save and deploy the Lambda function.

How the Function Works

  • import json is used to work with JSON data.
  • import logging enables logging of execution information.
  • logger.info() records a message in the CloudWatch Logs.
  • lambda_handler() is the main function executed by AWS Lambda.
  • The function returns a status code of 200, indicating successful execution.

Step 2: Configure the EventBridge Schedule Rule

  1. Open Amazon EventBridge from the AWS Management Console.
  2. Under Buses, select Rules.
  3. Click Create rule.
  4. Enter the rule name as DailyTriggerRule.
  5. Set the Rule Type to Schedule.
  6. Define the required schedule using either:
    • Rate expression, or
    • Cron expression.
  7. Set the Target to AWS Lambda function.
  8. Select the Lambda function ScheduledTaskRunner.
  9. Review the configuration.
  10. Click Create rule.
Once configured, EventBridge automatically invokes the Lambda function according to the specified schedule.

Step 3: Verify and Monitor Executions

After creating the schedule, verify that the automation is working correctly.
  1. Go back to the ScheduledTaskRunner Lambda function.
  2. Check the Triggers panel.
  3. Confirm that Amazon EventBridge is attached to the Lambda function.
  4. Wait until the scheduled execution time.
  5. Navigate to the Monitor tab in Lambda.
  6. Open CloudWatch Logs.
  7. Inspect the execution logs and look for the message:
"Cron execution started successfully."
This confirms that EventBridge successfully triggered the Lambda function.

Core Benefits of Event-Driven Schedules

1. Zero Idle Costs

  • Lambda functions run only when they are invoked.
  • You are not required to keep a server running continuously.
  • This can reduce unnecessary infrastructure costs.

2. No Server Maintenance

  • No dedicated server is required.
  • There is no need to manage operating systems or perform regular server patching.
  • AWS manages the underlying infrastructure.

3. Scalable and Reliable

  • AWS Lambda automatically handles the execution environment.
  • EventBridge provides reliable event delivery and scheduling.
  • AWS services can be configured with retry and failure-handling mechanisms.

4. Fully Automated Operations

  • Scheduled tasks can run automatically without manual intervention.
  • Common use cases include:
    • Generating reports
    • Cleaning temporary files
    • Starting data synchronization
    • Sending notifications
    • Performing routine maintenance tasks

5. Serverless Architecture

  • The solution does not require traditional server infrastructure.
  • Both scheduling and task execution are managed using AWS services.
  • This makes the architecture simple and easier to maintain.

Conclusion

Combining Amazon EventBridge and AWS Lambda provides a simple and powerful pattern for automating scheduled operational tasks.
EventBridge acts as the scheduler, while Lambda performs the required task only when it is triggered. Amazon CloudWatch provides monitoring and logging to help verify successful executions and troubleshoot problems.
Once configured, scheduled tasks can run automatically in the background, reducing manual effort, eliminating unnecessary server maintenance, and allowing developers to focus on core application development.
# amazon-eventbridge# serverless# aws-lambda# devops
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
Enjoyed reading this content? Let the author know!

Your likes, comments, shares, and saves help creators reach more builders.

Loading recommendations

Loading article