Amazon S3 Lifecycle Rules Explained | Automate Storage Cost Optimization | #28

Welcome back to the AWS Cloud Series! In this video, we deep dive into Amazon S3 Lifecycle Rules and learn how to automatically move and delete data to optimize AWS storage costs. S3 Lifecycle Rules are a must-know feature for DevOps engineers and cloud architects managing production S3 buckets—especially when versioning is enabled. 🔹 What you’ll learn in this video • What are S3 Lifecycle Rules • Why lifecycle policies are important in production • Transition objects between storage classes automatically • Delete old data & non-current object versions • Lifecycle rules with S3 versioning explained • Prefix-based vs bucket-wide lifecycle rules • Hands-on demo: create an S3 lifecycle rule step by step • Cost optimization best practices & common mistakes 💡 Why this topic matters Without lifecycle rules, S3 storage costs can grow silently over time. This video shows how to automate data management and reduce AWS bills using real-world examples. 📌 Ideal for: • AWS Beginners • DevOps Engineers • Cloud Engineers • AWS Certification Aspirants • Anyone managing S3 buckets in production 👍 Like • Subscribe • Comment your questions! #AWS #AmazonS3 #S3LifecycleRules #AWSTutorial #DevOps #CloudComputing #CloudCostOptimization #AWSTraining #S3Storage #S3BestPractices #AWSForBeginners #CloudEngineer #LearnAWS #AWSArchitecture #devopswithprashant