Regularly reviewing and deleting old EBS snapshots helps avoid unnecessary storage costs.
Automating AWS snapshot management with Amazon Data Lifecycle Manager saves time and reduces operational complexity.
Analyzing EBS usage helps identify cost optimization opportunities, including resizing volumes and provisioning IOPS.
Proper storage tiering with S3 helps reduce costs by using the appropriate storage class based on access patterns.
Data lifecycle policies help manage storage efficiently by archiving or deleting unused data and compressing data before storage.
Monitoring storage metrics in S3 or EBS can help optimize resource utilization and identify cost-saving opportunities.
Choosing the right EBS volume type, such as General-purpose SSDs (gp2, gp3) or Provisioned IOPS SSD (io1, io2), can improve performance.
EBS-Optimized Instances can provide dedicated bandwidth between EC2 instances and EBS volumes, leading to improved performance.
Moving older EBS snapshots to cheaper S3 storage and utilizing S3 storage classes can further optimize costs.
Implementing lifecycle policies and monitoring storage metrics with tools such as Amazon S3 Storage Lens is crucial for optimizing resource utilization and cost control.