- 18 Sections
- 97 Lessons
- 40 Hours
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- PERSIAPAN2
- 1. INTRODUCTION TO AWS CLOUD API4
- 2. INTRODUCTION TO COMPUTE AND NETWORKING5
- 3. HELLO, STORAGE7
- 4. HELLO, DATABASES9
- 5. ENCRYPTION ON AWS4
- 6. DEPLOYMENT STRATEGIES4
- 7. DEPLOYMENT AS CODE5
- 8. INFRASTRUCTURE AS CODE3
- 9. CONFIGURATION AS CODE3
- 10. AUTHENTICATION AND AUTHORIZATION1
- 11. REFACTOR TO MICROSERVICES11
- 12.111.1 Introduction to Refactor to Microservices
- 12.211.2 Amazon Simple Queue Service
- 12.311.3 Amazon Simple Notification Service
- 12.411.4 Amazon Kinesis Data Streams
- 12.511.5 Amazon Kinesis Data Firehose
- 12.611.6 Amazon Kinesis Data Analytics
- 12.711.7 Amazon Kinesis Video Streams
- 12.811.8 Amazon DynamoDB Streams
- 12.911.9 AWS IoT Device Management
- 12.1011.10 Amazon MQ
- 12.1111.11 AWS Step Functions
- 12. SERVERLESS COMPUTE7
- 13. SERVERLESS APPLICATIONS10
- 14.113.1 Introduction to Serverless Applications
- 14.213.2 Web Server with Amazon Simple Storage Service
- 14.313.3 Dynamic Data with Amazon API Gateway (Logic or App Tier)
- 14.413.4 User Authentication with Amazon Cognito
- 14.513.5 Standard Three-Tier vs. the Serverless Stack
- 14.613.6 Amazon Aurora Serverless
- 14.713.7 AWS Serverless Application Model
- 14.813.8 AWS SAM CLI
- 14.913.9 AWS Serverless Application Repository
- 14.1013.10 Serverless Application Use Cases
- 14. STATELESS APPLICATION PATTERNS5
- 15. MONITORING AND TROUBLESHOOTING4
- 16. OPTIMIZATION13
- 17.116.1 Introduction to Optimization
- 17.216.2 Cost Optimization: Everyone’s Responsibility
- 17.316.3 Right Sizing
- 17.416.4 Using Instance Reservations
- 17.516.5 Using Spot Instances
- 17.616.6 Using AWS Auto Scaling
- 17.716.7 Using Containers
- 17.816.8 Using Serverless Approaches
- 17.916.9 Optimizing Storage
- 17.1016.10 Optimizing Data Transfer
- 17.1116.11 Relational Databases and Amazon DynamoDB
- 17.1216.12 Monitoring Costs
- 17.1316.13 Monitoring Performance
- PENUTUPAN2
Post-Test
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