Configuration Management and the Cloud

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

18 hours 17 minutes
Sessions

On-Demand
Subtitles

Arabic, French, Portuguese, Italian, German, Russian, English, Spanish

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Overview

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In this course, learners will unlock the potential of automation for computer fleet management. This course provides a solid foundation in automation techniques, offering a pathway to becoming a versatile IT professional prepared to launch and support modern cloud based applications and systems. This course covers the art of automating computer deployment and management in a cloud-based environment, including the configuration of virtual machines using Puppet and managing infrastructure resources through orchestration tools like Terraform and command-line interfaces (CLIs). Learners will also explore how to define Service-Level Objectives (SLOs) and implement monitoring and actionable alerting systems to swiftly address issues. They’ll also gain expertise in incident management and recovery, including rollbacks, redundancy, and creating disaster recovery plans.

Syllabus

Automating with Configuration Management

In this module, you’ll be introduced to the concept of automation at scale and how it can be successfully achieved. You’ll learn what it means to work at scale and how automation is needed to scale effectively. Next, you’ll be introduced to configuration management. You’ll learn the differences between unmanaged and managed configuration management. Then, you’ll dive into infrastructure as code and learn about the benefits it brings, like making your fleet of nodes more reliable and repeatable. This is a major benefit when managing systems at scale. In the next lesson, you’ll be introduced to Puppet. You’ll learn how to apply basic configuration management and how Puppet agents and masters interact with each other. Next, you’ll do a rundown of Puppet resources and classes. You’ll learn how resources are basic units for modeling your configurations and how classes are a collection of resources used to achieve a single goal. The final lesson will introduce you to the building blocks of domain-specific language. You’ll learn what Puppet facts are and how it uses a program called Facter to analyze, store and gather this information. Your final lesson will cover the driving principles of configuration management. You’ll learn about declarative, procedural, and idempotent principals and how they differ from each other.

Deploying Puppet

In this module, you’ll dive into deploying Puppet on your local machine. Once you’ve completed that task, you’ll start creating and applying Puppet rules, managing resource relationships, and organizing your Puppet modules, which are a collection of manifests and associated data. Next, you’ll learn about Puppet nodes and node definitions and how they’re used to apply rules to your fleet. Then, you’ll dive into the Puppet certificate infrastructure, which explores the logic behind how the server can trust that a client is really who it claims to be. This topic will introduce the concepts of public key infrastructure and secure socket layer, which can ensure the clients can be trusted. Once you’ve understood these concepts, you’ll get to see a Puppet deployment in action! Your final lesson will center on updating, modifying, and testing manifests that you’ve deployed to your fleet. You’ll explore Puppet parser validate commands that will allow you to check the syntax to ensure it's correct. Next, you’ll explore the difference between production and testing environments, and how you can safely roll out changes to the testing environment to catch any errors. You’ll also learn about development environments and how you can siphon part of your fleet to an early-adopters or canary track to roll out changes, modification, or updates to that subset of machines.

Automation in the Cloud

In this module, you’ll learn about cloud services and the different types of cloud services, like SaaS, PaaS, and IaaS. Next, you’ll learn about scaling in the cloud and how to modify the capacity of your service. You’ll learn about horizontal and vertical scaling, which then ties into automatic versus manual scaling. Next, you’ll explore how much control you have over your system, depending on whether you choose SaaS, Paas, or IaaS, and assess which one is right for your business. You’ll rundown the options available to migrate your business to the cloud using strategies like lift and shift. In the next lesson, you’ll learn how to manage instances in the cloud by creating one! You’ll explore the different options available, like regions, machine types, and lots more. Then, you’ll look into customizing and templating virtual machines to enable you to deploy them at scale. Our final lesson will explore the concept of automating cloud deployments. You’ll learn about load balancers, which ensure that each node receives a balanced number of requests, as well as autoscaling, which shuts nodes on and off, as needed. Next, you’ll learn about orchestration and how orchestration and automation differ. Last up, you’ll learn about infrastructure as code (IaC), or machine readable configuration files that automate configuration management.

Managing Cloud Instances at Scale

In this module, you’ll learn all about storing data in the cloud. You’ll rundown the different types of storage available, like block storage and object storage, and how they differ. You’ll explore load balancing further and dive into some load balancing techniques, like round-robin DNS and sticky sessions. Next, you’ll dive into change management, including the different ways to test your changes and how to push them. You’ll explore different testing methods, like unit tests and integration tests. You’ll also cover continuous integration, the use of continuous deployment, and how to apply A/B testing. Next up, you’ll look at some errors you might encounter along the way, like quotas or limits, and how best to avoid or prepare for these. In the next lesson, you’ll get an understanding of monitoring and altering, and review some systems that offer it. You’ll then dive into the concept of SLA’s and how to set achievable ones. Next, you’ll look at basic monitoring in GCP, and create altering policies, set up conditions, and choose aggregators to manage the data. The last lesson will explore troubleshooting and debugging our systems. You’ll learn how to troubleshoot and debug remotely, understand. techniques for how to identify where the failure is coming from, and how to recover from a failure when it strikes.