Course Overview
This course teaches systems operators and anyone performing systems operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about systems 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’ll 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 SysOps 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
Requirements
- 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)
Features
- Objectives By the end of the course, students should be able to meet the following objectives:test, and publish Docker container imagesfamiliar with YAML files that define Kubernetes objectsKubernetes core user-facing concepts, including pods, services, and deploymentskubectl, the Kubernetes CLI, and become familiar with its commands and optionsthe architecture of Kubernetes (Control plane and its components, worker nodes, and kubelet)how to troubleshoot issues with deployments on Kubernetesresource requests, limits, and probes to deploymentsdynamic application configuration using ConfigMaps and Secretsother workloads, including DaemonSets, Jobs, and CronJobsabout user-facing security using SecurityContext, RBAC, and NetworkPolicies
Target audiences
- This course is intended for: System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase their systems operations knowledge
Curriculum
- 3 Sections
- 14 Lessons
- 3 Days
Expand all sectionsCollapse all sections
- Day 15
- 1.11 Module 1: Introduction to Cloud Operations on AWS What is Cloud Operations AWS Well-Architected Framework AWS Well-Architected Tool
- 1.2Module 2: Access Management AWS Identity and Access Management (IAM) Resources, accounts, and AWS Organizations
- 1.3Module 3: System Discovery Methods to interact with AWS services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config
- 1.4Module 4: Deploy and Update Resources Cloud Operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower
- 1.5Module 5: Automate Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Hands-On Lab: Infrastructure as Code
- Day 25
- 2.1Module 6: Manage Resources AWS Systems Manager Hands-On Lab: Operations as Code
- 2.2Module 7: Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53
- 2.3Module 8: Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager
- 2.4Module 9: Monitor and Maintain System Health Monitoring and maintaining healthy workloads Monitoring AWS infrastructure Monitoring applications Hands-On Lab: Monitor Applications and Infrastructure
- 2.5Module 10: Data Security and System Auditing Maintaining a strong identity and access foundation Implementing detection mechanisms Automating incident remediation
- Day 34
- 3.1Module 11: Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC
- 3.2Module 12: Mountable Storage 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 Hands-On Lab: Automating with AWS Backup for Archiving and Recovery
- 3.3Module 13: Object Storage Deploying Amazon Simple Storage Service (Amazon S3) Managing storage lifecycles on Amazon S3
- 3.4Module 14: Cost Reporting, Alerts, and Optimization Gaining AWS cost awareness Using control mechanisms for cost management Optimizing your AWS spend and usage Hands-On Lab: Capstone lab for CloudOps
Instructor
