DevOps and Agile are the two software development methodologies with similar aims, getting the end-product as quickly and efficiently as possible. While many organizations are hoping to employ these practices, there is often some confusion between both methodologies.

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What does each methodology enclose? Where do they overlap? Can they work together, or should we choose one over the other?

Before move further, take a glance at DevOps and Agile.

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.

What is Agile?

The Agile involves continuous iteration of development and testing in the SDLC process. Both development and testing activities are concurrent, unlike the waterfall model. This software development method emphasizes on incremental, iterative, and evolutionary development.

It breaks the product into small pieces and integrates them for final testing. It can be implemented in many ways, such as Kanban, XP, Scrum, etc.

The Agile software development focus on the four core values, such as:

Working software over comprehensive documentation.
Responded to change over following a plan.
Customer collaboration over contract negotiation.
Individual and team interaction over the process and tools.

Below are some essential differences between the DevOps and Agile:

Parameter	DevOps	Agile
Definition	DevOps is a practice of bringing development and operation teams together.	Agile refers to the continuous iterative approach, which focuses on collaboration, customer feedback, small, and rapid releases.
Purpose	DevOps purpose is to manage end to end engineering processes.	The agile purpose is to manage complex projects.
Task	It focuses on constant testing and delivery.	It focuses on constant changes.
Team size	It has a large team size as it involves all the stack holders.	It has a small team size. As smaller is the team, the fewer people work on it so that they can move faster.
Team skillset	The DevOps divides and spreads the skill set between development and the operation team.	The Agile development emphasizes training all team members to have a wide variety of similar and equal skills.
Implementation	DevOps is focused on collaboration, so it does not have any commonly accepted framework.	Agile can implement within a range of tactical frameworks such as safe, scrum, and sprint.
Duration	The ideal goal is to deliver the code to production daily or every few hours.	Agile development is managed in units of sprints. So this time is much less than a month for each sprint.
Target areas	End to End business solution and fast delivery.	Software development.
Feedback	Feedback comes from the internal team.	In Agile, feedback is coming from the customer.
Shift left principle	It supports both variations left and right.	It supports only shift left.
Focus	DevOps focuses on operational and business readiness.	Agile focuses on functional and non-functional readiness.
Importance	In DevOps, developing, testing, and implementation all are equally important.	Developing software is inherent to Agile.
Quality	DevOps contributes to creating better quality with automation and early bug removal. Developers need to follow Coding and best Architectural practices to maintain quality standards.	The Agile produces better applications suites with the desired requirements. It can quickly adapt according to the changes made on time during the project life.
Tools	Puppet, Chef, AWS, Ansible, and team City OpenStack are popular DevOps tools.	Bugzilla, Kanboard, JIRA are some popular Agile tools.
Automation	Automation is the primary goal of DevOps. It works on the principle of maximizing efficiency when deploying software.	Agile does not emphasize on the automation.
Communication	DevOps communication involves specs and design documents. It is essential for the operational team to fully understand the software release and its network implications for the enough running the deployment process.	Scrum is the most common method of implementing Agile software development. Scrum meeting is carried out daily.
Documentation	In the DevOps, the process documentation is foremost because it will send the software to an operational team for deployment. Automation minimizes the impact of insufficient documentation. However, in the development of sophisticated software, it’s difficult to transfer all the knowledge required.	The agile method gives priority to the working system over complete documentation. It is ideal when you are flexible and responsive. However, it can harm when you are trying to turn things over to another team for deployment.

So, this brings us to the end of blog. This Tecklearn ‘Comparison between DevOps and Agile methodologies’ 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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