OpenShift gives organizations the ability to build, deploy, and scale applications faster both on-premises and in the cloud. It also protects your development infrastructure at scale with enterprise-grade security. OpenShift provide online and telephone support as well as an array of online video tutorials and forum support.

OpenShift is a cloud development Platform as a Service (PaaS) hosted by Red Hat. It’s an open source cloud-based user-friendly platform used to create, test, and run applications, and finally deploy them on cloud.

Chef is a configuration management technology used to automate the infrastructure provisioning. It is developed on the basis of Ruby DSL language. It is used to streamline the task of configuration and managing the company’s server. It has the capability to get integrated with any of the cloud technology . The chef has working with cookbooks and recipes

10 Advantage of Chef

• Accelerating Software Delivery.
• Increasing Service Resiliency.
• Improving Risk Management.
• Accelerating Cloud Adoption.
• Managing Both Data Center and Cloud Environments.
• Delivering All Your Infrastructure – Any App, Everywhere, Continuously.
• Final Thoughts.
• Consistency and Scalability
• Faster Deployement and Reduced Risks
• Integrates with Any Cloud Technology 

How to install Chef Workstation

1. Go the Chef workstation page
2. Click on the package for window/linux or any other version we want.
3. After clicking on download, we will get a link.
4. wget https://packages.chef.io/files/stable/chef-workstation/22.5.923/el/7/chef-workstation-22.5.923-1.el7.x86_64.rpm
5. Copy this to the putty, server and download the packages of the chef.
6. Workstation will be installed

One Example Program of Recipe

vi first.rb

file ‘/opt/first.txt’

file ‘/opt/first.txt’ do
action :delete
end

file ‘/opt/content.txt’ do
content “This is my first program of chef”
mode 755
owner “root”
end

chef-apply first.rb

Terraform is an open source “Infrastructure as Code” tool, created by HashiCorp.

Terraform was in GO Language.It can manage not only existing on-prem solutions but also can work for almost all popular cloud service providers like AWS, Azure, GCP

A declarative coding tool, Terraform enables developers to use a high-level configuration language called HCL (HashiCorp Configuration Language) to describe the desired “end-state” cloud or on-premises infrastructure for running an application. It then generates a plan for reaching that end-state and executes the plan to provision the infrastructure.

Example Terraform program

provider “github” {
token = “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”
owner = “Yarra Lakshmi Bhavani”
}

resource “github_repository” “example” {
name = “Lakshmi Bhavani”
description = “My awesome codebase “

visibility = “public”
}

Five Commands of Terraform

Terraform init – It initializes a working directory containing terraform configuration files
Terraform apply – Executes the actions.
Terraform show – Is used to provide human readable output from state file.
Terraform plan – It evaluates a terraform configuration to determine the desired state of all the resources it declares. Which lets to preview the changes that terraform plans to make to your infrastructure.
Terraform destroy – It is a convenient way to destroy all remote objects managed by particular terraform configuration
Terraform get – Downloads and updates modules defined in the root module

Kubernetes is also Known as k8s or kube

Kubernetes is an open source container orchestration system for automating software deployment ,scaling, and management. Google originally designed Kubernetes, but the cloud Native Computing Foundation maintains the Kubernetes. Kubernetes manages multiple Docker hosts. Kubernetes services, support, Tools are widely available.

5 Reasons of using Kubernetes

-Free Cloud Solution

-Same solution for all the problems

-A new way to do the same things

-Architectural advantages : Scalability

Transparency

Transparency

Version control

-Simplified DevOps and performance

Components of Kubernetes

API Server – API Server here is collection of multiple servers together working on same agenda. Acting as a admin tool for the architecture.
ETCD – It is majorly a database for the API Servers. Therefore, storing the data in the database.
Scheduler – It basically assigns the work to a worker. It is used to check whether the pods are matching the nodes or not, so that KUBELET can run them accordingly. It assigns pods to its matching nodes in a group.
Controller mgmr – Controls all the API Servers for the services of the Kubernetes and also controlling the worker state of kb.

The Kubernetes controller manager is a collection of controllers bundled within a single binary and run in a single process.

I. Node controller: Responsible for identifying changes in nodes within the cluster

II. Replication controller: Responsible for maintaining replications of objects in the cluster

III. Endpoint controller: Responsible for provisioning of endpoints

KUBE Proxy – It is used for networking services and also for maintaining the network rules in a cluster.
Network Driver – It is used for network driving for using the and running the plugins properly.

Docker = Managing Container

PHYSCIAL —> VMs –> Container

Docker Images – Do Not contain KERNEL

Docker is a Managing Container.Docker is a type of containerization platform that packages your application and all its dependencies together. This ensures that your application works seamlessly in any environment.

The reason for the success of Docker in the DevOps environment is its ability in containerizing the applications. This reduces the time to develop and release a solution for a software development company.It uses virtualization at the operating system-level and delivers software in packages called containers. Docker make it easier for a developer to create, run, and deploy applications.

Container

FULLY independent APP Run time environment

It is a unit of code that packages up a new code of an application that the developer is writing and all of its dependencies. It makes the application run faster between different computer settings.It has everything you need to run an application on another system.

The components include the code, system tools, runtime environment, system libraries, and settings.A container is a software package that contains everything the software needs to run. This includes the executable program as well as system tools, libraries, and settings.

Advantages of Docker

• Increase in productivity
• Easier maintenance
• Rapid deployment
• Continuous deployment and testing environment
• It uses less memory

Commands used in the Session

-Docker exec -it container bash – to enter into a container

-Docker rm container – removes the container

-Docker pause container – pauses the container that is currently running

-Docker unpause container – unpauses the container to running stage

-Docker info – displays the number of containers and images

-Docker inspect container – detailed information on constructs controlled by docker

-Docker run -it ubuntu – to run ubuntu in docker

Commands Used in the Session

DevOps = Development + Operations

Development includes plan, code, build, test

Operations includes release, deploy, operate, monitor

DevOps is the combination of Development and Operations.DevOps is approach to change the culture.The DevOps approch that increases an organization’s ability to deliver applications and services at high velocity.Focus of DevOps was on enhancing the communication between the Development and the Operations Team.

10 Advantange of the DevOps

-Collaboration and trust

-Release faster and work smarter

-Accelerate time-to-resolution

-Cross-Skilling and Self-Improvement

-High Productivity

-Process Efficiency

-Better Customer Experience Management

-Better Team Efficiency

-Improved Flexibility and support

-Reduced Chance of Product Failure

Top 10 Tools used in DevOps

-Jenkins

-Docker

-Ansible

-Kubernetes

-Gitlab

-Maven

-Chef

-Puppet

-Git

-Gradle

Implementation of DevOps

-1. Start small, but not too small

-2. Create a culture of experimentation and learning

-3. Engineer resilience and adaptivity

-4. Get good communications from all teams

-5. Eliminate blame culture

-6.Plan,Code,Build,Test,release, deploy, operate, monitor

-7.CREATING A TEMPLATE

-8.PROVISION SERVER

-9.INSTALL SOFTWARE REQUIRED

-10.CONFIGURE THE SOFTWARE

-11.DEPLOYMENT