REINVENT
by Terence J Hayes
1. STORAGE
1.1. S3 GLACIER DEEP ARCHIVE
1.2. EFS INFREQUENT ACCESS
1.3. EFS MULTI-VPC ACCESS
1.4. S3 INTELLIGENT TIERING
1.5. S3 BATCH OPS
1.6. Double Peak Performance for io1 Volumes
1.7. S3 OBJECT LOCK
2. COMPUTE
2.1. AWS OUTPOSTS
2.1.1. on prem AWS spec hardware
2.2. HIBERNATION for EC2 INSTANCES
2.3. EC2 C5n INSTANCES
2.3.1. cost optimized HPC
2.4. EC2 A1 ARM Instances
2.5. EC2 SPOT
2.5.1. FOR AUTO-SCALING GROUPS - save up to 90%
2.6. EC2 P3Dn Instances
2.6.1. advanced ML
3. NETWORKING
3.1. Elastic Fabric Adapter (EFA)
3.1.1. HPC inter-instance comms
3.2. AWS GLOBAL ACCELERATOR
3.3. AWS TRANSIT GATEWAY
3.4. AWS DATA SYNC
3.5. AWS Transfer for SFTP
4. MANAGEMENT
4.1. AWS CONTROL TOWER
4.1.1. single location to set up a well-architected multi-account environment
4.2. CLOUD MAP
4.2.1. friendly name resource location
4.3. AWS LICENSE MANAGER
4.4. CloudWatch Logs Insights
4.5. Amazon CloudWatch Automatic Dashboards
5. CDN
5.1. AWS Elemental Media Connect
6. BIG DATA
6.1. AWS LAKE FORMATION
7. MIGRATION/INGESTION
7.1. SNOWBALL EDGE COMPUTE OPTIMIZED
7.2. Amazon Kinesis Data Analytics for Java Applications
8. SECURITY
8.1. AWS SECURITY HUB
8.2. Amazon CloudWatch Automatic Dashboards
8.3. CLOUDWATCH LOGS and INSIGHTS
9. DATABASES
9.1. DYNAMO DB ON DEMAND
9.2. AMAZON QUANTUM FULLY MANAGED LEDGER DB
9.2.1. transparent and immutable (blockchain)
9.3. AMAZON TIMESTREAM
9.4. RDS ON VMWARE
9.5. AURORA GLOBAL
9.6. Dynamo DB Transactional APIs
10. AI/ML DEVT
10.1. AWS INFERENTIA
10.1.1. ML inference chip 75% cost <
10.2. AMAZON ELASTIC INFERENCE
10.3. AMAZON SAGEMAKER GROUND TRUTH
10.3.1. large training dataset creation
10.4. AWS MARKETPLACE FOR SAGEMAKER
10.5. AMAZON SAGEMAKER NEO
10.5.1. train once - run anywhere
11. DEPLOYMENT
11.1. AMAZON LIGHTSAIL RESOURCE TAGGING
11.2. LIGHTSAIL SNAPSHOT EXPORT to EC2/EBS
11.3. FIRECRACKER
11.3.1. microVMs use KVM-based hardware virtualizations
11.4. AWS AMPLIFY CONSOLE
11.4.1. mobile apps