Welcome to your journey through Amazon S3 with Boto3. This session will start with the basics to ensure you have a solid understanding of what S3 is and how it operates. You'll learn to create, configure, list, and remove S3 buckets using Python's Boto3 library. By the end of this lesson, you’ll possess practical skills in managing S3 resources programmatically.

Amazon S3 is Amazon's scalable storage solution that organizes data into buckets and objects:

• Buckets: Unique containers for data storage, identified by DNS-compliant, globally unique names. Real-world S3 bucket usage examples include:

  • company-backup-2024 for annual company data backups.
  • user-uploads-website for storing web application user uploads.
  • database-snapshots-prod for archiving production database snapshots.

• Objects: Files within buckets that contain data (e.g., images, documents) and metadata about the data. Each object is uniquely identified by a key within its bucket.

S3 lets you create buckets in specific regions to optimize performance, manage costs, or comply with regulations. For example:

• A bucket named legal-documents-eu in the Europe (Ireland) region could store sensitive documents, adhering to EU data laws.