Learn DevOps: Scaling apps On-Premises and in the Cloud
Learn DevOps: Scaling apps On-Premises and in the Cloud, available at $44.99, has an average rating of 4.3, with 40 lectures, based on 266 reviews, and has 4357 subscribers.
You will learn about 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 This course is ideal for individuals who are DevOps Engineers, Software Engineers, DBAs who are interested in scalable applications and database It is particularly useful for DevOps Engineers, Software Engineers, DBAs who are interested in scalable applications and database.
Enroll now: Learn DevOps: Scaling apps On-Premises and in the Cloud
Summary
Title: Learn DevOps: Scaling apps On-Premises and in the Cloud
Price: $44.99
Average Rating: 4.3
Number of Lectures: 40
Number of Published Lectures: 40
Number of Curriculum Items: 40
Number of Published Curriculum Objects: 40
Original Price: €34.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- DevOps Engineers, Software Engineers, DBAs who are interested in scalable applications and database
Target Audiences
- DevOps Engineers, Software Engineers, DBAs who are interested in scalable applications and database
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.
Course Curriculum
Chapter 1: Course Introduction
Lecture 1: Course Introduction
Lecture 2: Procedure Document
Chapter 2: Introduction
Lecture 1: Introduction
Lecture 2: A Scalable Architecture
Lecture 3: Distributed Databases
Lecture 4: Distributed Databases (Part 2)
Lecture 5: On-Premise vs Cloud
Lecture 6: IaaS vs PaaS
Chapter 3: Use Case 1: Vagrant-Cassandra-DigitalOcean
Lecture 1: Introduction to Cassandra
Lecture 2: Vagrant with DigitalOcean
Lecture 3: Demo: Launching Cassandra with Vagrant on DigitalOcean
Lecture 4: Demo: Running Cassandra the Cluster
Lecture 5: Demo: Cassandra cqlsh
Lecture 6: Demo: Cassandra Replication Factor and Consistency Level
Lecture 7: More Cassandra Resources
Chapter 4: Use Case 2: Amazon AWS with Elastic Beanstalk and Terraform
Lecture 1: Introduction to Use Case 2
Lecture 2: Amazon AWS Virtual Private Networks (VPCs)
Lecture 3: Creating a VPC with Terraform
Lecture 4: Demo: Creating a VPC with Terraform (Preparation)
Lecture 5: Creating a VPC with Terraform
Lecture 6: Setting up the Database and Application Layer
Lecture 7: Demo: Setting up the Database and Application Layer (Part I)
Lecture 8: Demo: Setting up the Database and Application Layer (Part II)
Lecture 9: Demo: Deploying the application
Lecture 10: Customizing your Stack with Docker using AWS ECR
Lecture 11: Demo: Customizing your Stack with Docker using AWS ECR
Chapter 5: Use Case 3: Dokku & Deis on Kubernetes
Lecture 1: Introduction to running your own Private PaaS
Lecture 2: Dokku
Lecture 3: Dokku with MongoDB on Digital Ocean using Terraform
Lecture 4: Demo: Dokku with MongoDB on Digital Ocean using Terraform
Lecture 5: Introduction to Deis
Lecture 6: Kubernetes
Lecture 7: etcd
Lecture 8: Flannel
Lecture 9: Demo: Kubernetes with Ansible Configuration
Lecture 10: Demo: Kubernetes with Ansible Installation
Lecture 11: Demo: Installing Deis Workflow on top of Kubernetes
Chapter 6: Labs
Lecture 1: The DevOps Challenge
Chapter 7: Thank You
Lecture 1: Thank You for following this course
Lecture 2: Bonus Lecture: My Other Courses
Instructors
-
Edward Viaene
DevOps & Cloud Specialist
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 8 votes
- 3 stars: 48 votes
- 4 stars: 98 votes
- 5 stars: 110 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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