AWSCOPS
Cloud Operations on AWS (formerly Systems Operations)
This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions.
What you will learn
- Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar
- Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM)
- Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config
- Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment
- Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog
- Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches
- Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance
- Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand
- Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment
- Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config
- Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service
- State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment
- Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier
- Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report
Prerequisites
- Successfully completed the AWS Technical Essentials course
- A background in software development or systems administration
- Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows
- Basic knowledge of networking protocols (TCP/IP, HTTP)
Target audience
- System administrators and operators who are operating in the AWS Cloud, Informational technology workers who want to increase their cloud operations knowledge
Training Program
14 modules to master the fundamentals
Topics covered
- →What is Cloud Operations
- →AWS Well-Architected Framework
- →AWS Well-Architected Tool
Topics covered
- →AWS Identity and Access Management (IAM)
- →Resources, accounts, and AWS Organizations
Topics covered
- →Methods to interact with AWS services
- →Tools for automating resource discovery
- →Inventory with AWS Systems Manager and AWS Config
Activities
Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config
Topics covered
- →Cloud Operations in deployments
- →Tagging strategies
- →Deployment using Amazon Machine Images (AMIs)
- →Deployment using AWS Control Tower
Topics covered
- →Deployment using AWS CloudFormation
- →Deployment using AWS Service Catalog
Activities
Hands-On Lab: Infrastructure as Code
Topics covered
- →AWS Systems Manager
Activities
Hands-On Lab: Operations as Code
Topics covered
- →Distributing traffic with Elastic Load Balancing
- →Amazon Route 53
Topics covered
- →Scaling with AWS Auto Scaling
- →Scaling with Spot Instances
- →Managing licenses with AWS License Manager
Topics covered
- →Monitoring and maintaining healthy workloads
- →Monitoring AWS infrastructure
- →Monitoring applications
Activities
Hands-On Lab: Monitor Applications and Infrastructure
Topics covered
- →Maintaining a strong identity and access foundation
- →Implementing detection mechanisms
- →Automating incident remediation
Topics covered
- →Building a secure Amazon Virtual Private Cloud (Amazon VPC)
- →Networking beyond the VPC
Topics covered
- →Configuring Amazon Elastic Block Store (Amazon EBS)
- →Sizing Amazon EBS volumes for performance
- →Using Amazon EBS snapshots
- →Using Amazon Data Lifecycle Manager to manage your AWS resources
- →Creating backup and data recovery plans
- →Configuring shared file system storage
Activities
Hands-On Lab: Automating with AWS Backup for Archiving and Recovery
Topics covered
- →Deploying Amazon Simple Storage Service (Amazon S3)
- →Managing storage lifecycles on Amazon S3
Topics covered
- →Gaining AWS cost awareness
- →Using control mechanisms for cost management
- →Optimizing your AWS spend and usage
Activities
Hands-On Lab: Capstone lab for CloudOps
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
Teaching Methods Used
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
Evaluation and Monitoring System
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote