Reference:https://www.elastic.co/guide/en/esf/current/aws-elastic-serverless-forwarder.html Deploy Elastic Serverless Forwarder | Elastic Serverless Forwarder Guide | Elastic Deploy the Elastic Serverless Forwarder using Kibana and the AWS Serverless Application Repository (SAR).www.elastic.co https://www.elastic.co/guide/en/esf/current/aws-deploy-elastic-serverless-forwarder.html#aws-serverless-forwarder-deploy-terraform

Reference:https://aws.amazon.com/blogs/aws/automatic-restore-testing-and-validation-is-now-available-in-aws-backup/ Recently AWS announced Automatic restore testing and validation using AWS Backup. In this post, we’ll see how we can use this feature. Step 1: Create 1 EC2 instance, RDS instance and DynamoDB table.

If you are running multiple EKS Fargate cron jobs and AWS Config is enabled, be mindful of the AWS Config cost incurred because of these Jobs. Let’s say a cron job is scheduled to run every 5 minutes. Means 12*24*30.25=approx 8700 invocations per month Now every time a pod is started…

In this post, we’ll see how we can create a solution to monitor CloudTrail API calls using SQS and Lambda. We’ll define some API calls and the users who are authorized to make those calls. Prerequisite: You need to have CloudTrail enabled with a trail delivering files to S3. Step…

In this post, we’ll see how we can install an extension in Aurora Postgres Serverless Cluster. We’ll be installing btree_gin and pg_trgm extensions. Step 1: Connect to your database and execute following query to see a list of installed extensions. SELECT * FROM pg_extension; Step 2: Now execute following query to install extensions. Make sure you specify correct schema name. If you don’t specify schema name, extension will be installed to public schema.

Reference: https://aws.amazon.com/blogs/compute/introducing-advanced-logging-controls-for-aws-lambda-functions/ Recently AWS announced native support for capturing Lambda logs in JSON format. So let’s see how that works. Step 1: Create a Python 3.10 Lambda function with following code: import json import logging logger = logging.getLogger() def lambda_handler(event, context): logger.info("The API call ended successfully") logger.error("The API call did not end successfully") return { 'statusCode': 200, 'body': json.dumps('Hello from Lambda!') }

Problem Statement: https://amazon-dynamodb-labs.workshop.aws/scenarios/retail-cart.html Step 1: Create a DynamoDB table named retail-cart-challenge with partition key as PK and sort key as SK. Also create following indexes Index_Name Index_Type PK SK Search_By_OrderID LSI PK OrderID Search_Items GSI ItemSKU SK Step 2: Create following items for user records

Reference: https://aws.amazon.com/about-aws/whats-new/2023/10/multi-vpc-eni-attachments/ Recently AWS announced general availability of multi VPC ENI attachments for EC2 instances. With this we can now launch an instance with a primary ENI in one VPC and attach a secondary ENI from another VPC. So let’s see how this works. Prerequisite: We need 2 VPC in…

Reference: https://aws.amazon.com/about-aws/whats-new/2023/10/amazon-rds-blue-green-deployments-aurora-rds-postgresql/ Recently AWS announced Blue/Green Deployment support for Aurora Postgres. Let’s see how we can implement this. Step 1: We have an Aurora Postgres Serverless Cluster running version 13.8 with minimum 1 and maximum 8 ACU. Launch a t3.medium EC2 instance with Amazon Linux 2 AMI. …