Introduction
Cloud Operations on AWS is designed to teach those in a Systems Administrator or Developer Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, as well as common techniques used throughout the industry for configuring and deploying systems.
Audience profile
This course is intended primarily for:
- System Administrators
- Cloud Administrators
- Software Developers, especially those in a Developer Operations (DevOps) role
Pre-requisites
It is recommend that attendees of this course have:
- Attended the AWS Technical Essentials course
- Background in either software development or systems administration
- Some experience with maintaining operating systems at the command line (shell scripting in Linux environments, cmd or PowerShell in Windows)
- Basic knowledge of networking protocols (TCP/IP, HTTP)
Course objectives
This course is designed to teach you how to:
- Use standard AWS infrastructure features such as Amazon Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Elastic Load Balancing, and Auto Scaling from the command line
- Use AWS CloudFormation and other automation technologies to produce stacks of AWS resources that can be deployed in an automated, repeatable fashion
- Build functioning virtual private networks with Amazon VPC from the ground up using the AWS Management Console
- Deploy Amazon EC2 instances using command line calls and troubleshoot the most common problems with instances
- Monitor the health of Amazon EC2 instances and other AWS services
- Manage user identity, AWS permissions, and security in the cloud
- Manage resource consumption in an AWS account using tools such as Amazon CloudWatch, tagging, and Trusted Advisor
- Select and implement the best strategy for creating reusable Amazon EC2 instances
- Configure a set of Amazon EC2 instances that launch behind a load balancer, with the system scaling up and down in response to demand
- Edit and troubleshoot a basic AWS CloudFormation stack definition
Course content
| Sesison 1: Course Introduction |
| § Overview |
§ Course Goal and Objectives |
| § Learner Skills and Knowledge |
§ Course Flow |
| Session 2: Day 1 |
| § System Operations on AWS Overview |
§ Computing in the Cloud |
| § Networking in the Cloud |
|
| Session 3: Day 2 |
| § Storage and Archiving in the Cloud |
§ Managing Resource Consumption in the Cloud |
| § Monitoring in the Cloud |
|
| Session 4: Day 3 |
| § Configuration Management in the Cloud |
§ Creating Automated and Repeatable Deployments |
| § Creating Scalable Deployments in the Cloud |
|
| Module 1: Introduction to data lakes |
| § Describe the value of data lakes |
§ Compare data lakes and data warehouses |
| § Describe the components of a data lake |
§ Recognize common architectures built on data lakes |
| Module 2: Data ingestion, cataloguing, and preparation |
| § Describe the relationship between data lake storage and data ingestion |
§ Describe AWS Glue crawlers and how they are used to create a data catalogue |
| § Identify data formatting, partitioning, and compression for efficient storage and query |
§ Lab 1: Set up a simple data lake |
| Module 3: Data processing and analytics |
| § Recognize how data processing applies to a data lake |
§ Use AWS Glue to process data within a data lake |
| § Describe how to use Amazon Athena to analyse data in a data lake |
|
| Module 4: Building a data lake with AWS Lake Formation |
| § Describe the features and benefits of AWS Lake Formation |
§ Use AWS Lake Formation to create a data lake |
| § Understand the AWS Lake Formation security model |
§ Lab 2: Build a data lake using AWS Lake Formation |
| Module 5: Additional Lake Formation configurations |
| § Automate AWS Lake Formation using blueprints and workflows |
§ Apply security and access controls to AWS Lake Formation |
| § Match records with AWS Lake Formation FindMatches |
§ Visualize data with Amazon QuickSight |
| § Lab 3: Automate data lake creation using AWS Lake Formation blueprints |
§ Lab 4: Data visualization using Amazon QuickSight |
| Module 6: Architecture and course review |
| § Post course knowledge check |
§ Architecture review |
| § Course review |
|
Associated certifications and exam
On successful completion of this course students will receive a Torque IT attendance certificate.
The AWS Certified SysOps Administrator – Associate exam validates technical expertise in deployment, management, and operations on the AWS platform. Exam concepts you should understand for this exam include:
Deploying, managing, and operating scalable, highly available, and fault tolerant systems on AWS
Migrating an existing on-premises application to AWS
Implementing and controlling the flow of data to and from AWS
Selecting the appropriate AWS service based on compute, data, or security requirements
Identifying appropriate use of AWS operational best practices
Estimating AWS usage costs and identifying operational cost control mechanisms
