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Cloud Operations on AWS

  • Length 3 days
  • Price  NZD 2550 exc GST
Course overview
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Why study this course

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.

This course includes presentations, hands-on labs, demonstrations, and group discussions.

We also offer a one-day AWS Jam Session to complement this course and enhance your learning. The AWS Jam is a gamified event, with teams competing to score points by completing a series of challenges based on concepts covered in the course.

See more information and scheduled dates here.

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What you’ll learn

This course is designed to teach participants how to:

  • 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 organisations 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, optimise, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report


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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.


Who is the course for?

This course is intended for:

  • System administrators and operators who are operating in the AWS Cloud

  • IT workers who want to increase their cloud operations knowledge


Course subjects

Module 1: Introduction to Cloud Operations on AWS

  • What is Cloud Operations?

  • AWS Well-Architected Framework

  • AWS Well-Architected Tool

Module 2: Access Management

  • AWS Identity and Access Management (IAM)

  • Resources, accounts, and AWS Organisations

Module 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

Module 4: Deploy and Update Resources

  • Cloud Operations in deployments

  • Tagging strategies

  • Deployment using Amazon Machine Images (AMIs)

  • Deployment using AWS Control Tower

Module 5: Automate Resource Deployment

  • Deployment using AWS CloudFormation

  • Deployment using AWS Service Catalog

  • Hands-On Lab: Infrastructure as Code

Module 6: Manage Resources

  • AWS Systems Manager

  • Hands-On Lab: Operations as Code

Module 7: Configure Highly Available Systems

  • Distributing traffic with Elastic Load Balancing

  • Amazon Route 53

Module 8: Automate Scaling

  • Scaling with AWS Auto Scaling

  • Scaling with Spot Instances

  • Managing licences with AWS License Manager

Module 9: Monitor and Maintain System Health

  • Monitoring and maintaining healthy workloads

  • Monitoring AWS infrastructure

  • Monitoring applications

  • Hands-On Lab: Monitor Applications and Infrastructure

Module 10: Data Security and System Auditing

  • Maintaining a strong identity and access foundation

  • Implementing detection mechanisms

  • Automating incident remediation

Module 11: Operate Secure and Resilient Networks

  • Building a secure Amazon Virtual Private Cloud (Amazon VPC)

  • Networking beyond the VPC

Module 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

Module 13: Object Storage

  • Deploying Amazon Simple Storage Service (Amazon S3)

  • Managing storage lifecycles on Amazon S3

Module 14: Cost Reporting, Alerts, and Optimisation

  • Gaining AWS cost awareness

  • Using control mechanisms for cost management

  • Optimising your AWS spend and usage

  • Hands-On Lab: Capstone lab for CloudOps

Please note: This is an emerging technology course. Course outline is subject to change as needed.


Prerequisites

It is recommended that attendees have the following prerequisites:

  • Successfully completed AWS Technical Essentials course

  • A background in either 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)


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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