In today’s day and age, a lot of organizations leverage AWS Managed Services to streamline operations in several ways – the most important being reducing manual effort, enhancing scalability, improving security, and lowering cost. A common factor across all of these elements is automation and proactive monitoring. AWS Lambda, a serverless computing service that runs code in response to events, works with other AWS tools like SES (Simple Email Service, for sending emails), S3 (for storing data), and CloudWatch (for tracking performance) to make this automation seamless for managed service providers. You can also use AWS Lambda to send out timely reminders, create performance reports and save reliable backups. In short, using AWS Lambda enables businesses to free up teams to focus on more important, strategic work by automating time-consuming processes.

In this blog, we’re going to explore three use-cases that show how AWS Lambda helps is when it comes to effective resource management.

Use Case 1: Regular Alerts for Expiry of Reserved Resources

Purpose

The main goal of this process is to prevent important resources from expiring without renewal. Organizations that use AWS services often reserve cloud resources like instances (virtual machines), databases, and certificates for a fixed period at a discounted rate. Resources expiring without a renewal leads to additional costs, potential service downtime or disruptions. Sending automatic alerts about upcoming expiry dates can help the organization take timely action and ensure service continuity and cost savings. This includes Reserved Instances, Nodes, DB Instances, Cache Instances, OpenSearch domains, Redshift clusters, ACM certificates, or Savings Plans.

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Process

  1. Fetch Expiry Dates:
    1. Retrieve expiry dates for all reserved resources using Boto3, the official Python SDK for AWS
    2. Query AWS APIs for the resource type as required. This can be Reserved Instances or ACM certificates.
  2. Calculate the Renewal Period:
    1. Calculate how many days are left until expiry for each resource.
    2. Prioritize alerts for resources that are expiring sooner by adding logic.
  3. Consolidate and Organize the Output:
    1. Consolidate, organize and present the data (expiry dates, resource types, etc.) across different services into an easy-to-read format (for example, in a tabular or CSV format) for easy analysis.
  4. Send Email Alerts:
    1. Use Amazon SES (Simple Email Service) to send email notifications with the expiry details to relevant stakeholders (e.g., IT managers or finance teams).
    2. SES ensures that the emails are sent securely and only reach verified email recipients.
  5. Automate with AWS Lambda:
    1. Deploy the Python script to AWS Lambda for serverless execution instead of manually running the program.
    2. Add a trigger to run the function. Use Amazon EventBridge on a schedule, such as weekly or monthly.

Outcome

By automating this process, IT leaders and/or business managers are always notified when resources are nearing expiration. This also ensures that resources are renewed on time and prevents additional costs or disruptions.

Use Case 2: Fetching Utilization Reports for EC2 Instances

Purpose

To monitor the performance and usage of EC2 instances (Amazon Elastic Compute Cloud virtual servers) and provide detailed utilization reports for better capacity planning and cost optimization.

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Process

  1. Fetch Metrics:
    1. Use Boto3 to fetch specific utilization metrics from CloudWatch using Boto3. Do this for all EC2 instances.
    2. Ensure metrics include CPUUtilization, NetworkIn, NetworkOut, and DiskWriteBytes.
  2. Instance Association:
    1. Identify which of the EC2 instances correspond to the fetched metrics.
    2. Match instance IDs with metric data and gain detailed insights.
  3. Visualize Data
    1. Use Python’s Matplotlib library to better visualize your findings through graphs.
    2. Plot different metrics - whether it's CPU vs. Time or Network Traffic vs. Time for each instance.
  4. Automate Reporting
    1. Use AWS Lambda to deploy the situation to fetch and process metrics automatically.
    2. Use Amazon S3 to store the reports or graphs you generate.
  5. Schedule Reports:
    1. Trigger Lambda on a regular schedule (e.g., weekly or monthly) using AWS EventBridge.
    2. Send the reports via AWS SES to customers or managers

Outcome:

By automating the creation and distribution of detailed reports, this system provides real-time, actionable insights while also preventing both over-provisioning (overspending) and under-provisioning (resource shortages).

Use Case 3: Managing Application Load Balancer (ALB) Logs

Purpose

The purpose of this use-case is to regularly fetch and back up logs (including listener rules and port configurations) from Application Load Balancers (ALB). Thus, the organization has access to critical information at all times, plan for disaster recovery and ensure business continuity.

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Process

  1. Fetch Load Balancer Details:
    1. Query ALB configurations such as listener rules (describe_listeners) and associated ports (describe_target_groups) using Boto3
    2. Use S3 access logs to retrieve the logs generated by ALB, if enabled.
  2. Organize Logs:
    1. Give a structured JSON format to the retrieved data for clarity and usability.
  3. Store in S3:
    1. Upload the JSON-formatted logs to an Amazon S3 bucket.
    2. Use versioning on the bucket for historical log tracking.
  4. Disaster Recovery:
    1. In case of misconfigurations or failures, ensure logs are readily available for restoring ALB configurations.
  5. Automate Reporting:
    1. In order to automate fetching and storing logs, deploy the solution as an AWS Lambda function.
    2. Summarizing ALB activity and configurations in the form of reports generated periodically.
  6. Schedule Tasks:
    1. Schedule Lambda execution at regular intervals, such as daily or weekly, using EventBridge.
    2. Use AWS SES to send logs/summaries and notify stakeholders.

Outcome:

By implementing this automated ALB log management system, organizations gain a reliable disaster recovery mechanism to restore ALB configurations quickly.

Benefits of Using AWS Lambda for Automation:

Minimized Infra Costs: AWS Lambda is a cloud-native platform that allows users to run code without having to manage server infrastructure. This is a big win for those organizations that want to avoid expensive hardware and software investments. This reduces their infrastructure costs. This is all possible only through AWS Lambda

Scalability: Organizations need not ever worry whether their apps will be functional and responsive at all times. Capacity isn't an issue anymore, because businesses can develop and deploy apps quickly and easily, and AWS Lambda provides the scalability required to handle sudden fluctuations in demand.

Seamless Integration: AWS Lambda’s ability to integrate seamlessly with services like SES, S3, CloudWatch, and EventBridge enables businesses to create holistic, automated workflows.

Security: By assigning specific IAM roles and permissions, organizations can ensure that only authorized actions are performed. In addition, fine-grained controls enable secure data access while maintaining compliance with security protocols.

Saves Time: When you automate recurring tasks through Lambda, your operational teams can focus on high-priority business objectives instead of manual monitoring and execution of processes.

Conclusion

AWS Lambda, combined with other AWS tools like CloudWatch or SES, empowers organizations to automate critical operational tasks. Whether it is sending proactive alerts for expiring resources, generating detailed utilization reports or managing ALB logs for disaster recovery, AWS Lambda helps organizations drive efficiency, reduce costs and improve their security posture. The three use cases illustrated above showcase how AWS Lambda can help transform routine operational processes into automated workflows. This also shows how it’s an indispensable tool for AWS Managed Services.

author img logo
Author
Swaroop N

Sr Manager – AWS DevOps

As senior manager for AWS DevOps implementations, Swaroop leads the planning, blueprinting, and implementation of AWS-native DevOps pipelines error-free, from dev to production, ensuring accelerated innovation timelines for organizations.

author img logo
Author
Swaroop N

Sr Manager – AWS DevOps

As senior manager for AWS DevOps implementations, Swaroop leads the planning, blueprinting, and implementation of AWS-native DevOps pipelines error-free, from dev to production, ensuring accelerated innovation timelines for organizations.

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