AWS Lambda Slashes CloudWatch Logs Pricing – What You Need to Know

Listen to this Post

Featured Image
AWS Lambda has significantly reduced CloudWatch Logs pricing from $0.50/GB to $0.05/GB after exceeding 50TB of log ingestion. This price cut benefits enterprises and high-volume users who rely heavily on CloudWatch for monitoring and logging.

You Should Know:

1. How to Optimize CloudWatch Logs Costs

To take advantage of this pricing change, ensure your logs are efficiently structured. Use the following AWS CLI commands to manage logs:

 List log groups 
aws logs describe-log-groups

Set retention policy (e.g., 30 days) 
aws logs put-retention-policy --log-group-name "/aws/lambda/my-function" --retention-in-days 30

Export logs to S3 for long-term storage (cheaper than CloudWatch) 
aws logs create-export-task --task-name "ExportLogs" --log-group-name "/aws/lambda/my-function" --from 1625097600000 --to 1625184000000 --destination "my-s3-bucket" --destination-prefix "logs/" 

2. Filtering Unnecessary Logs

Reduce costs by filtering out debug logs or irrelevant data:

 Use subscription filters to send only ERROR logs to CloudWatch 
aws logs put-subscription-filter \ 
--log-group-name "/aws/lambda/my-function" \ 
--filter-name "ErrorFilter" \ 
--filter-pattern "ERROR" \ 
--destination-arn "arn:aws:logs:us-east-1:123456789012:destination:MyKinesisStream" 

3. Automate Log Compression

Leverage AWS Lambda to compress logs before storage:

import boto3 
import gzip

def lambda_handler(event, context): 
s3 = boto3.client('s3') 
logs = event['awslogs']['data'] 
compressed = gzip.compress(logs.encode()) 
s3.put_object(Bucket="my-compressed-logs", Key="logs.gz", Body=compressed) 
  1. Monitor Log Costs with AWS Cost Explorer

Track CloudWatch expenses using:

aws ce get-cost-and-usage \ 
--time-period Start=2023-01-01,End=2023-01-31 \ 
--granularity MONTHLY \ 
--metrics "UnblendedCost" \ 
--filter '{"Dimensions": {"Key": "SERVICE", "Values": ["AmazonCloudWatch"]}}' 

What Undercode Say:

AWS’s price cut is a strategic move to retain high-volume users. However, optimizing logs via retention policies, filtering, and compression remains crucial. Enterprises should also consider third-party log solutions like Datadog or Elasticsearch for cost-efficient analytics.

Expected Output:

  • Reduced CloudWatch costs for high-volume users.
  • Better log management via AWS CLI and automation.
  • Increased adoption of log optimization techniques.

Video:

References:

Reported By: Aaron Stuyvenberg – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

Join Our Cyber World:

💬 Whatsapp | 💬 Telegram