Here's a detailed summary of the key takeaways from the video transcription in markdown format:
Managing On-Premises Storage vs. the Cloud
- On-premises storage often involves over-provisioning and inefficiencies, such as:
- Buying extra capacity for future growth, resulting in idle storage
- Overhead from RAID configurations, formatting, and capacity planning
- With AWS storage, you only pay for what you use, and the infrastructure scales elastically with your data needs.
Cost Optimization Journey
- Cost optimization is a continuous process, not just a one-time migration.
- It involves right-sizing instances, using managed services like Amazon S3 or EFS, and leveraging AWS optimizations.
AWS Storage Services
- Amazon EBS: High-performance block storage for workloads like databases.
- Amazon FSX: Fully managed file storage for NAS workloads, with options for Windows, NetApp ONTAP, and OpenZFS.
- Amazon EFS: Serverless, elastic file storage for shared file access.
- Amazon S3: Object storage for scalability, durability, and intelligent tiering.
Optimizing Amazon EBS
- Migrate from GP2 to GP3 volumes to save up to 20% on storage costs.
- Use Elastic Volumes to dynamically adjust size, type, and performance.
- Leverage Snapshots Archive for long-term, infrequently accessed data.
Optimizing Amazon FSX
- Use native tools like data compression and deduplication.
- For NetApp ONTAP, leverage the data tiering feature to save up to 88%.
- Consider FSX for OpenZFS for 30% better price-performance.
- Utilize the new FSX Intelligent Tiering storage class for most workloads.
Optimizing Amazon EFS
- Choose the right storage class (Standard, Infrequent Access, Archive) based on data access patterns.
- Configure lifecycle policies to automatically move data between storage classes.
- Select the optimal throughput mode (Provisioned or Elastic) based on your workload requirements.
Optimizing Amazon S3
- Evaluate storage classes (S3 Express, S3 Intelligent Tiering, S3 Standard, Glacier, etc.) based on access frequency, retention period, and retrieval time.
- Use S3 Intelligent Tiering for workloads with unknown or changing access patterns.
- Leverage lifecycle policies to automatically transition data between storage classes.
- Use S3 Storage Lens to gain visibility and insights into your storage usage and optimization opportunities.
Real-World Examples
- T-Mobile reduced storage costs by up to 70% by moving to Amazon EFS.
- Devo saved 20% on storage costs by migrating from GP2 to GP3 EBS volumes and leveraging Elastic Volumes.
- Johnson & Johnson saved over $1 million by migrating their snapshots to Snapshots Archive.
- Johnson & Johnson also used EFS lifecycle management policies to save up to 35% on storage costs.
- Upstocks saved over $1 million annually by using S3 Storage Lens and moving infrequently accessed data to Glacier Instant Retrieval.