Learn DevOps: Scaling apps On-Premises and in the Cloud

Name: Learn DevOps: Scaling apps On-Premises and in the Cloud
Rating: 4.2 (268 reviews)

Get experienced with Vagrant, DigitalOcean, Cassandra, AWS, Elastic Beanstalk, Terraform, Kubernetes, Deis, and Docker

Created byEdward Viaene

Last updated 8/2018

English

What you'll learn

Understand how to scale applications on-premises and on the cloud
Able to use vagrant to deploy dev / test on Cloud Infrastructure
Able to use Terraform to deploy production applications on the Cloud
Install, configure, launch AWS ElasticBeanstalk applications
Install, launch, and use Kubernetes with Deis Workflow to enable Private Cloud

Course content

7 sections • 40 lectures • 3h 4m total length

Course Introduction2:30
The course introduction
Procedure Document0:15
Procedure document with information to my git repositories

Introduction3:20
What is scalability and how do you scale? What are some examples of scalable apps.
A Scalable Architecture4:58
A scalable architecture: availability, performance, reliability, scalability, manageability, and cost. This lecture also includes an example web app architecture.
Distributed Databases3:22
This lecture explains what distributed databases are, and the difference with traditional ACID compliant databases.
Distributed Databases (Part 2)5:38
Part 2 of distributed databases. This lecture explains what distributed databases are, and the difference with traditional ACID compliant databases.
On-Premise vs Cloud4:00
The differences between On-Premise and the Cloud. Also covers Private Cloud
IaaS vs PaaS6:41
The differences between Infrastructure as a service and Platform as a service

Introduction to Cassandra3:32
Introduction to Cassandra, a free and open source distributed database designed to handle large amounts of data, and still using commodity hardware.
Vagrant with DigitalOcean4:16
Deploy straight on the public cloud (DigitalOcean) using vagrant. You get $10 free credit to try out Vagrant-DigitalOcean
Demo: Launching Cassandra with Vagrant on DigitalOcean9:59
You can launch a Cassandra Cluster on DigitalOcean with Vagrant just by having a Vagrantfile and by typing vagrant up.
Demo: Running Cassandra the Cluster2:20
You can launch a Cassandra Cluster on DigitalOcean with Vagrant just by having a Vagrantfile and by typing vagrant up. This demo shows how to launch it.
Demo: Cassandra cqlsh2:54
Cqlsh is used to query Cassandra. In this lecture I'm showing you how Cassandra works
Demo: Cassandra Replication Factor and Consistency Level4:46
Before you can really use Cassandra, you need to know about Replication Factor and Consistency Level
More Cassandra Resources1:17
Where to find more Cassandra Resources if you want to know more about Cassandra

Introduction to Use Case 22:45
Introduction to use case 2: to create a production ready application on AWS that can scale. Using terraform to have the AWS infrastructure as code
Amazon AWS Virtual Private Networks (VPCs)5:49
First, you need to know about VPCs (Virtual Private Networks). This will give you your own isolated network on AWS to deploy your instances and databases in
Creating a VPC with Terraform6:35
In this lecture I'm showing you how to create these VPCs using Terraform
Demo: Creating a VPC with Terraform (Preparation)3:38
In this lecture I'm showing you how to create these VPCs using Terraform
Creating a VPC with Terraform3:47
In this lecture I'm showing you how to create these VPCs using Terraform
Setting up the Database and Application Layer11:13
Now that we have our VPC, we can set up the database and application layer. For the database layer I'm going to use AWS RDS (Relational Database Service) and for the Application Layer Elastic Beanstalk. This is going to allow us to easily set up scalable infrastructure.
Demo: Setting up the Database and Application Layer (Part I)7:36
A demo showing you how to set-up the database and application layer using Terraform.
Demo: Setting up the Database and Application Layer (Part II)6:33
A demo showing you how to set-up the database and application layer using Terraform (part 2).
Demo: Deploying the application5:40
Now that the database and application layer is set-up, an application can be deployed on it. This can be done easily with the eb CLI tool (Elastic Beanstalk Command Line Utility)
Customizing your Stack with Docker using AWS ECR3:17
PHP is not your thing? Design your own stack using Docker images. You can create Docker images and push them to AWS ECR, Amazon's Docker Repository Service. Elastic Beanstalk can then pull the images and install them to run your application on.
Demo: Customizing your Stack with Docker using AWS ECR12:27
A demo showing how to run php7 on Elastic Beanstalk using Docker and Amazon ECR

Introduction to running your own Private PaaS1:38
Introduction to running your own Platform as a Service, on your hardware, or using IaaS
Dokku3:09
This lecture explains Dokku, a simple piece of software that turns your server into a single-instance PaaS
Dokku with MongoDB on Digital Ocean using Terraform4:30
Let's deploy a simple application with MongoDB on DigitalOcean using Dokku. Provisioning on DigitalOcean will be done using Terraform.
Demo: Dokku with MongoDB on Digital Ocean using Terraform9:15
Let's deploy a simple application with MongoDB on DigitalOcean using Dokku. Provisioning on DigitalOcean will be done using Terraform.
Introduction to Deis4:07
What if you want to scale your application that you deployed on Dokku? An introduction to Deis, which is the cluster version of Dokku
Kubernetes2:44
Deis runs on Kubernetes, so let's explore Kubernetes first.
etcd2:19
Kubernetes uses etcd. In this lecture I explain you what etcd is.
Flannel2:40
For overlay networking, we're going to use Flannel.
Demo: Kubernetes with Ansible Configuration7:01
To install Kubernetes on Digital Ocean (or on-premise), I'm going to use Ansible
Demo: Kubernetes with Ansible Installation5:32
This demo shows you how to install kubernetes on Digital Ocean using Ansible and Terraform to provision the droplets
Demo: Installing Deis Workflow on top of Kubernetes7:33
Once we have Kubernetes, you can easily put Deis Workflow on top of it. Then you can git push your app to Deis

Requirements

You should already be familiar with DevOps, Vagrant, Ansible, and Docker. My Udemy course "Learn DevOps: Continuously Deliver Better Software" is a prerequisite unless you are already familiar with the technologies mentioned.

Description

In this course you will learn how to deploy scalable applications using DevOps techniques. Why DevOps? It is one of the most sought after skills in the IT industry. The average salary in the US is $105,000 per year (source: Glassdoor), up to an average of $146,000 in San Fransisco (source: Indeed).

The course is aimed at software engineers, database and system administrators that want to deliver software that is scalable, reliable, available, manageable and still cost effective. Other IT professionals can also take this course, but might have to do some extra research to understand some of the concepts.

You will learn how to improve your applications and databases by applying techniques to scale your software. I will explain how to scale your application using proven automation, configuration management, provisioning and deployment tools. I also cover newer tools like Docker, Kubernetes and Deis.

The course is very practical. There are 3 use cases I will be explaining in detail. All the code is available for you to reuse on Github. If you get stuck with the technology while trying, there is support available. I will answer your messages on the message boards and we have a Facebook group where you can post questions.

Who this course is for:

DevOps Engineers, Software Engineers, DBAs who are interested in scalable applications and database

Learn DevOps: Scaling apps On-Premises and in the Cloud

What you'll learn

Explore related topics

Course content

Course Introduction2 lectures • 3min

Introduction6 lectures • 28min

Use Case 1: Vagrant-Cassandra-DigitalOcean7 lectures • 29min

Use Case 2: Amazon AWS with Elastic Beanstalk and Terraform11 lectures • 1hr 9min

Use Case 3: Dokku & Deis on Kubernetes11 lectures • 50min

Labs1 lecture • 1min

Thank You2 lectures • 3min

Requirements

Description

Who this course is for: