In this lesson on cost and sustainability optimization for storage and databases, the goal is to help you reduce costs and minimise environmental impact across key AWS services like Amazon S3, EBS, Glacier, RDS, DynamoDB, and Redshift.
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Select the most cost-effective Amazon S3 Storage class and apply lifecycle policies to reduce storage costs.
Choose appropriate Amazon EBS volume types and manage snapshots efficiently.
Compare Amazon RDS and Aurora pricing models to optimize database cost and performance.
Evaluate DynamoDB capacity modes and table classes to align with workload needs.
Optimize Amazon Redshift usage with cluster configuration and concurrency scaling.
Apply sustainable data management practices to minimize redundancy and use tools like AWS Glue and Athena for cost-efficient querying.
This lesson is for Cloud engineers, architects, and DevOps professionals looking to reduce AWS storage and database costs.
To get the most out of this lesson, you should have a basic understanding of AWS services like S3, EBS, RDS, and DynamoDB.