~CloudopsDigest~

  Let's go through each of these areas and discuss some resource cleanup best practices, considerations, and specific actions you can take in the AWS environment 1. EC2 Instances: Regularly review your running instances and identify those that are no longer needed. Terminate instances that are not actively in use. Consider using Amazon EC2 Auto Scaling to dynamically adjust the number of instances based on demand. This can help optimize costs and resource utilization.Use Elastic Load Balancing (ELB) to distribute traffic across multiple instances, improving availability and reducing the impact of instance failures. Consider using AWS Lambda or EC2 instance-based automation to schedule instance start and stop times, particularly for non-production instances. 2. Amazon S3 Buckets: Use AWS Identity and Access Management (IAM) policies to control access to S3 buckets and objects. Regularly audit your S3 buckets to ensure they are not publicly accessible unless required. Implement bucke

  Below are the few AWS services for their potential cost factors: 1.Amazon S3: S3 storage pricing is based on the amount of data stored, data transfer, and number of requests. Costs can vary based on storage class (Standard, Intelligent-Tiering, Glacier, etc.) and region. 2.Amazon ECS: ECS pricing includes costs for the underlying EC2 instances or Faregate resources used to run containers, as well as networking and data transfer costs. 3.Amazon EMR : EMR pricing depends on the instance types used for the cluster, data storage, data transfer, and the processing power needed. 4.AWS IAM: IAM itself is generally not associated with direct costs; you're billed for the resources you manage using IAM. 5.Amazon QuickSight: QuickSight pricing is based on the number of users and the amount of data processed for visualization. 6.AWS Glue: Glue pricing considers factors such as the number of development units (DPU) used for ETL jobs and the amount of data processed. 7.AWS Lambda: Lambda