The DevOps is the combination of two words, one is Development and other is Operations. It is a culture to promote the development and operation process collectively.

The DevOps tutorial will help you to learn DevOps basics and provide depth knowledge of various DevOps tools such as Git, Ansible, Docker, Puppet, Jenkins, Chef, Nagios, and Kubernetes.

What is DevOps?

The DevOps is a combination of two words, one is software Development, and second is Operations. This allows a single team to handle the entire application lifecycle, from development to testing, deployment, and operations. DevOps helps you to reduce the disconnection between software developers, quality assurance (QA) engineers, and system administrators.

DevOps promotes collaboration between Development and Operations team to deploy code to production faster in an automated & repeatable way.

DevOps helps to increase organization speed to deliver applications and services. It also allows organizations to serve their customers better and compete more strongly in the market.

DevOps can also be defined as a sequence of development and IT operations with better communication and collaboration.

DevOps has become one of the most valuable business disciplines for enterprises or organizations. With the help of DevOps, quality, and speed of the application delivery has improved to a great extent.

DevOps is nothing but a practice or methodology of making “Developers” and “Operations” folks work together. DevOps represents a change in the IT culture with a complete focus on rapid IT service delivery through the adoption of agile practices in the context of a system-oriented approach.

DevOps is all about the integration of the operations and development process. Organizations that have adopted DevOps noticed a 22% improvement in software quality and a 17% improvement in application deployment frequency and achieve a 22% hike in customer satisfaction. 19% of revenue hikes as a result of the successful DevOps implementation.

Why DevOps?

Before going further, we need to understand why we need the DevOps over the other methods.

The operation and development team worked in complete isolation.
After the design-build, the testing and deployment are performed respectively. That’s why they consumed more time than actual build cycles.
Without the use of DevOps, the team members are spending a large amount of time on designing, testing, and deploying instead of building the project.
Manual code deployment leads to human errors in production.
Coding and operation teams have their separate timelines and are not in synch, causing further delays.

DevOps History

In 2009, the first conference named DevOpsdays was held in Ghent Belgium. Belgian consultant and Patrick Debois founded the conference.
In 2012, the state of DevOps report was launched and conceived by Alanna Brown at Puppet.
In 2014, the annual State of DevOps report was published by Nicole Forsgren, Jez Humble, Gene Kim, and others. They found DevOps adoption was accelerating in 2014 also.
In 2015, Nicole Forsgren, Gene Kim, and Jez Humble founded DORA (DevOps Research and Assignment).
In 2017, Nicole Forsgren, Gene Kim, and Jez Humble published “Accelerate: Building and Scaling High Performing Technology Organizations”.

DevOps Architecture Features

Here are some key features of DevOps architecture, such as:

1) Automation

Automation can reduce time consumption, especially during the testing and deployment phase. The productivity increases, and releases are made quicker by automation. This will lead in catching bugs quickly so that it can be fixed easily. For contiguous delivery, each code is defined through automated tests, cloud-based services, and builds. This promotes production using automated deploys.

2) Collaboration

The Development and Operations team collaborates as a DevOps team, which improves the cultural model as the teams become more productive with their productivity, which strengthens accountability and ownership. The teams share their responsibilities and work closely in sync, which in turn makes the deployment to production faster.

3) Integration

Applications need to be integrated with other components in the environment. The integration phase is whore the existing code is combined with new functionality and then tested. Continuous integration and testing enable continuous development. The frequency in the releases and micro-services leads to significant operational challenges. To overcome such problems, continuous integration and delivery are implemented to deliver in a quicker, safer, and reliable manner.

4) Configuration management

It ensures the application to interact with only those resources that are concerned with the environment in which it runs. The configuration files are not created where the external configuration to the application is separated from the source code. The configuration file can be written during deployment, or they can be loaded at the run time, depending on the environment in which it is running.

DevOps Advantages and Disadvantages

Here are some advantages and disadvantages that DevOps can have for business, such as:

Advantages

DevOps is an excellent approach for quick development and deployment of applications.
It responds faster to the market changes to improve business growth.
DevOps escalate business profit by decreasing software delivery time and transportation costs.
DevOps clears the descriptive process, which gives clarity on product development and delivery.
It improves customer experience and satisfaction.
DevOps simplifies collaboration and places all tools in the cloud for customers to access.
DevOps means collective responsibility, which leads to better team engagement and productivity.

Disadvantages

DevOps professional or expert’s developers are less available.
Developing with DevOps is so expensive.
Adopting new DevOps technology into the industries is hard to manage in short time.
Lack of DevOps knowledge can be a problem in the continuous integration of automation projects.

Prerequisite

To learn DevOps, you should have basic knowledge of Linux, and at least one Scripting language.

DevOps Architecture

Development and operations both play essential roles in order to deliver applications. The deployment comprises analyzing the requirements, designing, developing, and testing of the software components or frameworks.

The operation consists of the administrative processes, services, and support for the software. When both the development and operations are combined with collaborating, then the DevOps architecture is the solution to fix the gap between deployment and operation terms; therefore, delivery can be faster.

DevOps architecture is used for the applications hosted on the cloud platform and large distributed applications. Agile Development is used in the DevOps architecture so that integration and delivery can be contiguous. When the development and operations team works separately from each other, then it is time-consuming to design, test, and deploy. And if the terms are not in sync with each other, then it may cause a delay in the delivery. So DevOps enables the teams to change their shortcomings and increases productivity.

Below are the various components that are used in the DevOps architecture:

1) Build

Without DevOps, the cost of the consumption of the resources was evaluated based on the pre-defined individual usage with fixed hardware allocation. And with DevOps, the usage of cloud, sharing of resources comes into the picture, and the build is dependent upon the user’s need, which is a mechanism to control the usage of resources or capacity.

2) Code

Many good practices such as Git enables the code to be used, which ensures writing the code for business, helps to track changes, getting notified about the reason behind the difference in the actual and the expected output, and if necessary reverting to the original code developed. The code can be appropriately arranged in files, folders, etc. And they can be reused.

3) Test

The application will be ready for production after testing. In the case of manual testing, it consumes more time in testing and moving the code to the output. The testing can be automated, which decreases the time for testing so that the time to deploy the code to production can be reduced as automating the running of the scripts will remove many manual steps.

4) Plan

DevOps use Agile methodology to plan the development. With the operations and development team in sync, it helps in organizing the work to plan accordingly to increase productivity.

5) Monitor

Continuous monitoring is used to identify any risk of failure. Also, it helps in tracking the system accurately so that the health of the application can be checked. The monitoring becomes more comfortable with services where the log data may get monitored through many third-party tools such as Splunk.

6) Deploy

Many systems can support the scheduler for automated deployment. The cloud management platform enables users to capture accurate insights and view the optimization scenario, analytics on trends by the deployment of dashboards.

7) Operate

DevOps changes the way traditional approach of developing and testing separately. The teams operate in a collaborative way where both the teams actively participate throughout the service lifecycle. The operation team interacts with developers, and they come up with a monitoring plan which serves the IT and business requirements.

8) Release

Deployment to an environment can be done by automation. But when the deployment is made to the production environment, it is done by manual triggering. Many processes involved in release management commonly used to do the deployment in the production environment manually to lessen the impact on the customers.

So, this brings us to the end of blog. This Tecklearn ‘Overview of DevOps and its Architecture’ blog helps you with commonly asked questions if you are looking out for a job in DevOps. If you wish to learn DevOps and build a career in DevOps domain, then check out our interactive, DevOps Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/devops-training/

DevOps Training

About the Course

IT Experts have immense pressure to improve the business efficiency by developing, testing and deploying a product securely, so DevOps has become a software development methodology. Tecklearn’s DevOps Training program will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. The DevOps Certification Training Program will provide you with in-depth knowledge of various DevOps tools including Git and GitHub, Maven, Jenkins, Docker, Ansible, Puppet, Chef, Kubernetes and Nagios. This training is completely hands-on and you will become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility.

Why Should you take DevOps Training?

The DevOps market is expected to grow from USD 3.42 Billion in 2018 to USD 10.31 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 24.7% during the forecast period. The demand for DevOps is expected to be driven by several factors, such as lower costs, flexibility, agility, and fast application delivery.
Average salary given to a DevOps Engineer is around $122,969 per annum – Indeed.com
Amazon, Netflix, NASA, eBay, GE, ING, Intuit, PayPal, Splunk, Uber & other MNCs worldwide use DevOps

What you will Learn in this Course?

Introduction to DevOps

What is Software Development
Software Development Life Cycle
Why DevOps?
What is DevOps?
DevOps Lifecycle
DevOps Tools
Benefits of DevOps
How DevOps is related to Agile Delivery
DevOps Implementation

Git and GitHub

What is version control
Version Control System (VCS) Products
Types of VCS
What is Git
Why Git for your organization
Install Git
Common commands in Git
Working with Remote Repositories
GitHub
Git Installation
Git Lifecycle
GitHub (Push, Pull Request)
GitHub Workflow

Maven

Maven
Maven Directory
Maven Lifecycle
Maven Dependencies
Maven Repositories
Phases and Goals

Continuous Integration with Jenkins

Introduction to Continuous Integration and Jenkins
Jenkins Management
Jenkins Master Slave Architecture
Tools Required for CI
Understanding CI/CD Pipelines
Creating an end to end automated CI/CD Pipeline
Jenkins Versions

Containerization using Docker – Part 1

Introduction to Docker
Understanding Docker Lifecycle
Docker Architecture
Components of Docker Ecosystem
Common Docker Operations
Committing changes in a Container
Hands On

Containerization using Docker – Part 2

Building Custom Docker Images
Docker Image
Introduction to Docker Swarm
Deploying a 2-Node Cluster using Docker Swarm
Hands on

Configuration Management using Ansible

What is Ansible?
Ansible vs Puppet
Ansible Architecture
Ansible Installation
Setting up Master Slave using Ansible
Configuring Ansible Roles
Write Playbooks
Applying configuration using Ansible
Hands on

Continuous Deployment: Configuration Management using Puppet

Need of Configuration Management
What is Puppet
Puppet Architecture
Puppet Components
Puppet Lifecycle
Setting up Master Slave using Puppet
Puppet Manifests
Puppet Modules
Applying configuration using Puppet
Puppet File Server
Hands On

Continuous Delivery using Chef

Continuous Delivery
What is Chef
Chef Framework
How Chef Works
Chef Advantages
Chef Installation
Hands on

Continuous Monitoring using Nagios

Introduction to Continuous Monitoring
Introduction to Nagios
Nagios Architecture
Monitoring Services in Nagios
Installing Nagios
Nagios Plugins (NRPE) and Objects
Nagios Commands and Notification
Monitoring of different servers using Nagios

Continuous Orchestration using Kubernetes

Introduction to Kubernetes
Docker Swarm vs Kubernetes
Kubernetes Architecture
Deploying Kubernetes using Kubeadms
Alternate ways of deploying Kubernetes
Understanding YAML
Creating a Deployment in Kubernetes using YAML
Creating a Service in Kubernetes
Installing Kubernetes Dashboard
Deploying an App using Dashboard
Using Rolling Updates in Kubernetes
Containers and Container Orchestration

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