Why take this course
If you’re a developer, architect, or administrator who wants to take your AWS skills to the next level, this training is for you. You’ll learn advanced techniques for autoscaling and automation, and you’ll gain the knowledge to control cloud processing costs. This will enable you to design and build more efficient and cost-effective solutions, allowing you to effectively implement best practices in your organization.
What you'll learn
- Understand the typical challenges of autoscaling infrastructure in AWS.
- Be able to automate infrastructure creation using Python boto and create Cloud Formation scripts.
- Master advanced AWS Lambda topics and serverless application distribution.
- How to build Data Lakes and organize BI processes in the cloud.
- Control and optimize cloud processing costs by using different resource purchasing models.
- Understand the principles of cloud governance and the AWS Shared Responsibility Model.
Certification & Exam
Upon completion of the training, you will receive a certificate of participation, confirming your newly acquired advanced AWS skills. There is no final exam—all you need is active participation in the classes.
Who is this course for
This training is designed for individuals who already administer IT infrastructure in the cloud, as well as architects and developers of software based on AWS technology.
Topics covered
- Autoscaling application based on EC2 instances
- Custom metrics for EC2 instances
- Autoscaling configuration and optimal strategies
- Purchase models for EC2 instances
- Scaling serverless architecture
- Python boto Application programming interface
- Advanced AWS Lambda performance issues
- Decoupling serverless applications with queues and messaging mechanism
- Integration of S3, Kinesis and DynamoDB
- Automation and control of a serverless application
- Introduction to the AWS Cloud Formation
- The concept of „infrastructure as a code”
- Cloud Formation: template, stack, permissions
- Creating YAML scripts for Cloud Formation
- Data warehouses and BI in the cloud
- Building a data lake in the cloud
- Redshift and managing ETL processes
- Organizing BI processes with Amazon QuickSight
- Cost optimization for cloud infrastructure
- Cost models for IaaS i serverless cloud services
- Purchase models for computational resources (on-demand, reserved, spot)
- Cost monitoring and optimization
- Recommended best practices and cloud governance
- AWS Shared Responsibility Model
- Managing cloud governance within an organization