In the Worklog section, I summarize my learning and practical experience during the 12-week internship in the First Cloud AI Journey program as a Cloud Infrastructure Engineer for the CloudDoc project. Each week follows the same structure, including weekly objectives, tasks carried out, and achievements, in accordance with the internship report requirements.
The journey is organized from learning AWS fundamentals, completing infrastructure labs, and participating in workshops and office activities, to deploying, configuring, and managing AWS Cloud infrastructure for the CloudDoc system. My responsibilities included setting up AWS resources, configuring networking and security, managing access permissions, monitoring the system, optimizing costs, and supporting application deployment. The internship progress is divided into the following weeks:
Week 1: Getting familiar with AWS and basic AWS services
Week 3: Learning CloudFront, advanced Networking, ALB, RDS, DynamoDB, and ElastiCache
Week 4: Learning Lambda, API Gateway, SQS, SNS, CloudWatch, and implementing a Serverless Lab
Week 5: Learning Secrets Manager, KMS, CloudFormation, CodeBuild, CodePipeline, and CI/CD
Week 10: Deploying RDS PostgreSQL, EC2 Application Servers, ALB, SQS, DLQ, and S3 Event Notification