Instructor led training of 20 hoursDescription
Terraform is a coding language that used to automate the infrastructure across multiple cloud providers both in the public as well as private cloud .
What Will I Learn?
In this course, we will start from the basics of terraform and will go to some advanced concepts, use cases of the technology
We will begin with an introduction to the origin story of cloud orchestration domain and understand terraform's unique view point towards it. We will then break down the structure of terraform and understand the internal components of it before taking on a journey through the basic fundamental concepts introduced in terraform.
After a heavy dose of concepts, we will setup our lab environment where we will setup a terraform environment connected with an AWS cloud account (or Azure cloud account if Azure is chosen). So that we can start learning the coding techniques.
First thing to start with is definitely the syntax and structure of terraform coding. We will learn by looking at some of the examples.
We will then proceed to understand the concept of resources in terraform, and we will start writing our first resource definitions, which will provision these resources on the connected AWS (or Azure if chosen) cloud account. We will launch VMs on cloud, access them manually before tearing them down again with terraform.
Variables are important factors to create dynamic codes. Terraform supports variables and we will take a look at how to use them. We will use them to contain data and we will also use them to pass on data to external scripts.
Using terraform, we can not only launch VMs, but we can even log in to the VM through terraform and execute shell scripts to configure platforms on the VMs launched.
By this time, you would have gathered much understanding of terraform coding to start working on a project. We will take a sample java application and try to set it up as a live application on a tomcat server launched in AWS cloud through terraform. The project will take you through hands on practice on launching VMs through terraform, using elastic public ip.
After thoroughly understanding EC2 VM (or AVM for Azure) provisioning upto this point, we should now also look at some other services. We will do that by going over services like RDS and Aurora DB . Launching RDS and Aurora will be covered in the course (or Azure Database for MySQL if Azure is chosen).
Terraform modules are created for modularity & portability of code. We will take a quick look at the use cases before creating and using one. There is a term called blueprint, which is used to describe use of multiple terraform modules together. We will build a blueprint. We will also look at the use of variable overrrides when using modules.
Terraform is a desired state configuration management language. When it launches something, it stores the detailed configuration information in a state file. It is necessary to launch all lifecycle commands from the same directory where that statefile is available. While that is an easy thing to do for a single individual's working with terraform using a single machine, that is not an ideal solution for enterprise situations where multiple people have to work together maybe due to shift based work or simply to share the amount of work. In such cases let's say, the person who lauched a VM using terraform, works in the night shift and his machine has the state file. How will he pass on the state file to the next person who comes in morning shift? Typically there should be a shared location where he can keep the file so both of them can share it. That is what we do when we use remote state in terraform and S3 (or Azure Blob Storage) is a popular shared location option. We will see how this is achieved.
Next we will go through the concepts of data sources that terraform can use to fetch data and see how to use them.
Templates in terraform allow large information such as entire JSON files to be passed on in terraform resource parameters while making use of variables in the process. We will see some practical examples.
Terraform and Puppet are complementary to each other. We will write a code that launches VMs with Puppet bootstrapping.
To complete the overall understanding, it is important to have a clarity about position of terraform in the larger devops landscape. Which is why we will finish off the course with an integration of terraform into Jenkins pipeline.
The pipeline will use terraform to launch a VM and install middleware on it using Puppet while pushing application on it using middleware API. We will conclude with some discussion about competition to terraform in the market.
Terraform Course Syllabus
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- Chapter Overview[preview]
- Obtaining variables from Terraform into external scripts
- Using shell script remote executor from Terraform to configure platform on launched VMs
Use of elastic ip in Terraform (or Azure Static IP if Azure is chosen)
Automation through Hosts entry modification
Using tomcat API to provision application
Launching RDS DB ( or Azure Database for MySQL if Azure is chosen) Instance using Terraform
Launching Aurora DB ( or Azure CosmosDB if Azure is chosen) Instance using Terraform
Create and use a module
Module Variables
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- Chapter Overview[preview]
- Understanding the use case for Remote State
- Managing Remote State using S3 (or Azure Blob Storage if Azure if chosen)
Integration with puppet configuration management
Where terraform succeeds
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Regular classes - 4 weeks
Weekend Classes - 6 weeks
Customized Fast Track option is available as well. Call +91-8049202039 now to customize according to your requirement
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Experienced IT professionals
Having hands on practical knowledge
With experience of training large batches in both offline and online mode
Tags:best terraform Training institute in Bangalore terraform training course online Terraform by HashiCorp terraform training terraform courses terraform Training online terraform training course advanced devops course in btm layout terraform training training terraform, Terraform by HashiCorp Terraform with AWS, Packer, Docker terraform training course online TRAINING TERRAFORM Terraform courses
Online Self Paced Training (SPT)
Online Instructor Led Training (OILT)
Classroom Instructor Led Training(CILT)
About the course:
Study9 provides a robust job market focused Terraform training. Our Terraform course is designed with the right mix of basic and advanced topics to get one started in the domain and enable a person to get a good job in this competitive market. Our Terraform trainers are experienced professionals with hands on knowledge of Terraform projects. The Terraform course content is designed with keeping the current job market's demands in mind.Our Terraform training course is value for money and tailor made for our students.
About Study9 Training Method
The Study9 Terraform training courses are completely online training courses. The online Terraform training is given using advanced training softwares to make the students comfortable with the online training. The student and teacher can talk over VOIP software, they can share each others screens, share Terraform course contents and concerns during the class through chat window and even can see each other using Webcams. The time tested proven online Terraform training methodologies adopted by study9 are of the most advanced ones in India. The student will feel at ease with the Terraform training mode. And we are so confident on that, we offer a moneyback if the student is not satisfied with first Terraform Training class.
The cloud based Terraform training course contents are accessible from anywhere in the world. Study9 provides access for each student to an online Learning Management System that holds all the slides and videos that are part of the Terraform training courses. The students can access them from their Laptop, Mobile, Tablets etc. The students will also give Terraform training exams on this Learning Management System and our expert Terraform trainers will rate their papers and provide certifications on successful completion of these Terraform training exams.
The best part of this online Terraform training approach is that it does not require one to waste time by travelling to a particular Terraform training center. And the timings are flexible so that if someday the student has problems in taking the morning Terraform training class he/she can fix an alternate time in the evening in discussion with Terraform trainer. On need basis our Terraform trainers can take a class in late night as well. On request basis missed Terraform training class sessions can even be given as video lectures to the student for them to go through to be prepared for the next class.
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