Real World Vagrant – Automate a Cloudera Manager Build
Real World Vagrant – Automate a Cloudera Manager Build, available at $19.99, has an average rating of 4.2, with 17 lectures, based on 32 reviews, and has 390 subscribers.
You will learn about Simply run a single command on your desktop, go for a coffee, and come back with a running distributed environment for cluster deployment Quickly build an environment where Cloudera and Hadoop software can be installed Ability to automate the installation of software across multiple Virtual Machines This course is ideal for individuals who are Software engineers who want to expand their skills into the world of distributed computing or System Engineers that want to expand their skillsets beyond the single server or Developers who want to write/test their code against a valid distributed enviroment It is particularly useful for Software engineers who want to expand their skills into the world of distributed computing or System Engineers that want to expand their skillsets beyond the single server or Developers who want to write/test their code against a valid distributed enviroment.
Enroll now: Real World Vagrant – Automate a Cloudera Manager Build
Summary
Title: Real World Vagrant – Automate a Cloudera Manager Build
Price: $19.99
Average Rating: 4.2
Number of Lectures: 17
Number of Published Lectures: 17
Number of Curriculum Items: 17
Number of Published Curriculum Objects: 17
Original Price: £89.99
Quality Status: approved
Status: Live
What You Will Learn
- Simply run a single command on your desktop, go for a coffee, and come back with a running distributed environment for cluster deployment
- Quickly build an environment where Cloudera and Hadoop software can be installed
- Ability to automate the installation of software across multiple Virtual Machines
Who Should Attend
- Software engineers who want to expand their skills into the world of distributed computing
- System Engineers that want to expand their skillsets beyond the single server
- Developers who want to write/test their code against a valid distributed enviroment
Target Audiences
- Software engineers who want to expand their skills into the world of distributed computing
- System Engineers that want to expand their skillsets beyond the single server
- Developers who want to write/test their code against a valid distributed enviroment
Note : This course is built on top of the “Real World Vagrant For Distributed Computing – Toyin Akin” course
“NoSQL“, “Big Data“, “DevOps” and “In Memory Database“
technology are a hot and highly valuable skill to have – and this
course will teach you how to quickly create a distributed environment
for you to deploy these technologies on.
A combination of VirtualBox and Vagrant will transform your desktop
machine into a virtual cluster. However this needs to be configured
correctly. Simply enabling multinode within Vagrant is not good enough.
It needs to be tuned. Developers and Operators within large enterprises,
including investment banks, all use Vagrant to simulate Production
environments.
After all, if you are developing against or operating a distributed
environment, it needs to be tested. Tested in terms of code deployed and
the deployment code itself.
You’ll learn the same techniques these enterprise guys use on your own Microsoft Windows computer/laptop.
Vagrant provides easy to configure, reproducible, and portable work
environments built on top of industry-standard technology and controlled
by a single consistent workflow to help maximize the productivity and
flexibility of you and your team.
This course will use VirtualBox to carve out your virtual
environment. However the same skills learned with Vagrant can be used to
provision virtual machines on VMware, AWS, or any other provider.
If you are a developer,
this course will help you will isolate dependencies and their
configuration within a single disposable, consistent environment,
without sacrificing any of the tools you are used to working with
(editors, browsers, debuggers, etc.). Once you or someone else creates a
single Vagrantfile, you just need to vagrant up and everything is
installed and configured for you to work. Other members of your team
create their development environments from the same configuration. Say
goodbye to “works on my machine” bugs.
If you are an operations engineer,
this course will help you build a disposable environment and consistent
workflow for developing and testing infrastructure management scripts.
You can quickly test your deployment scripts and more using local
virtualization such as VirtualBox or VMware. (VirtualBox for this
course). Ditch your custom scripts to recycle EC2 instances, stop
juggling SSH prompts to various machines, and start using Vagrant to
bring sanity to your life.
If you are a designer, this course will
help you with distributed installation of software in order for you to
focus on doing what you do best: design. Once a developer configures
Vagrant, you do not need to worry about how to get that software running
ever again. No more bothering other developers to help you fix your
environment so you can test designs. Just check out the code, vagrant
up, and start designing.
.
Here I present a curriculum as to the current state of my Cloudera courses.
My Hadoop courses are based on Vagrant so that you can practice and
destroy your virtual environment before applying the installation onto
real servers/VMs.
.
For those with little or no knowledge of the Hadoop eco system
Udemy course : Big Data Intro for IT Administrators, Devs and Consultants
.
I would first practice with Vagrant so that you can carve out a
virtual environment on your local desktop. You don’t want to corrupt
your physical servers if you do not understand the steps or make a
mistake.
Udemy course : Real World Vagrant For Distributed Computing
.
I would then, on the virtual servers, deploy Cloudera Manager plus
agents. Agents are the guys that will sit on all the slave nodes ready
to deploy your Hadoop services
Udemy course : Real World Vagrant – Automate a Cloudera Manager Build
.
Then deploy the Hadoop services across your cluster (via the
installed Cloudera Manager in the previous step). We look at the logic
regarding the placement of master and slave services.
Udemy course : Real World Hadoop – Deploying Hadoop with Cloudera Manager
.
If you want to play around with HDFS commands (Hands on distributed file manipulation).
Udemy course : Real World Hadoop – Hands on Enterprise Distributed Storage.
.
You can also automate the deployment of the Hadoop services via
Python (using the Cloudera Manager Python API). But this is an advanced
step and thus I would make sure that you understand how to manually
deploy the Hadoop services first.
Udemy course : Real World Hadoop – Automating Hadoop install with Python!
.
There is also the upgrade step. Once you have a running cluster, how
do you upgrade to a newer hadoop cluster (Both for Cloudera Manager and
the Hadoop Services).
Udemy course : Real World Hadoop – Upgrade Cloudera and Hadoop hands on
Course Curriculum
Chapter 1: Vagrant for Big Data Testing
Lecture 1: Automating a Cloudera Manager Build with Vagrant
Lecture 2: Suggested course curriculum to follow …
Chapter 2: Setup our Vagrantfile so that we can build our box templates
Lecture 1: Base Vagrant file
Lecture 2: Here we walk through a simple Vagrant Script
Lecture 3: Modify the hosts file to make it Cloudera friendly
Lecture 4: Here we download the Cloudera Manager rpms and create a local repository
Lecture 5: Here we configure the Centos O/S. firewall, ntp, tcp buffers and swappiness
Lecture 6: Setup Local Webserver to house Cloudera's CDH Parcels
Lecture 7: Here we find Cloudera's Online Parcel Repository and download a Parcel
Lecture 8: Automate the Installation Cloudera Manager and Agents
Lecture 9: Quickly validate our template by walking through the Cloudera Manager UI
Chapter 3: Package the Manager and Agent into varant image templates
Lecture 1: Package the Cloudera Components. Manager and Agent
Lecture 2: Boot up a Cluster topology using the new Cloudera vagrant base boxes
Lecture 3: First pass – Deploying an Hadoop Cluster.
Lecture 4: Second pass – Deploying an Hadoop Cluster
Lecture 5: Bonus – Hadoop Services that require access to a database.
Chapter 4: Conclusion
Lecture 1: Conclusion
Instructors
-
Toyin Akin
Big Data Engineer, Capital Markets FinTech Developer
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 2 votes
- 3 stars: 1 votes
- 4 stars: 6 votes
- 5 stars: 21 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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