A pipeline in software engineering team is a set of automated processes which allows DevOps professionals and developer to reliably and efficiently compile, build, and deploy their code to their production compute platforms.

The most common components of a pipeline in DevOps are build automation or continuous integration, test automation, and deployment automation.

A pipeline consists of a set of tools which are classified into the following categories such as:

Source control
Build tools
Containerization
Configuration management
Monitoring

Continuous Integration Pipeline

Continuous integration (CI) is a practice in which developers can check their code into a version-controlled repository several times per day. Automated build pipelines are triggered by these checks which allows fast and easy to locate error detection.

Some significant benefits of CI are:

Small changes are easy to integrate into large codebases.
More comfortable for other team members to see what you have been working.
Fewer integration issues allowing rapid code delivery.
Bugs are identified early, making them easier to fix, resulting in less debugging work.

Continuous Delivery Pipeline

Continuous delivery (CD) is the process that allows operation engineers and developers to deliver bug fixes, features, and configuration change into production reliably, quickly, and sustainably. Continuous delivery offers the benefits of code delivery pipelines, which are carried out that can be performed on demand.

Some significant benefits of the CD are:

Faster bug fixes and features delivery.
CD allows the team to work on features and bug fixes in small batches, which means user feedback received much quicker. It reduces the overall time and cost of the project.

DevOps Methodology

We have a demonstrated methodology that takes an approach to cloud adoption. It accounts for all the factors required for successful approval such as people, process, and technology, resulting in a focus on the following critical consideration:

The Teams: Mission or project and cloud management.
Connectivity: Public, on-premise, and hybrid cloud network access.
Automation: Infrastructure as code, scripting the orchestration and deployment of resources.
On-boarding Process: How the project gets started in the cloud.
Project Environment: TEST, DEV, PROD (identical deployment, testing, and production).
Shared Services: Common capabilities provided by the enterprise.
Naming Conventions: Vital aspect to track resource utilization and billing.
Defining Standards Role across the Teams: Permissions to access resources by job function.

DevOps Engineers

DevOps Engineer is an IT professional who works with system operators, software developers, and other production IT staff to administer code releases.

DevOps engineer understands the software development lifecycle and various automation tools for developing digital pipelines.

DevOps have hard as well as soft skills to communicate and collaborate with development, testing, and operations teams.

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DevOps engineers need to code occasionally from scratch, and they must have the basics of software development languages.

The DevOps engineer will work with development team staff to tackle the coding and scripting needed to connect elements of code, like libraries or software development kits.

A bachelor’s degree in computer science or related fields is generally required for DevOps engineers. Many companies prefer those who have a master’s degree and at least three to five years of work experience in this field. HTTP, HTML, CSS, SSL, XML, Linux, Java, Amazon Web Services (AWS), NoSQL technologies, DNS, and web app development.

DevOps Engineer Roles and Responsibilities

DevOps engineers work full time. They are responsible for the production and continuing maintenance of a software application platform.

Below are some roles, responsibilities, and skills which are expected from DevOps engineers, such as:

Manage projects effectively through an open standard based platform.
Increases project visibility through traceability.
Improve quality and reduce the development cost with collaboration.
DevOps should have the soft skill of problem solver and a quick learner.
Analyze, design, and evaluate automation scripts and systems.
Able to perform system troubleshooting and problem-solving across the platform and application domains.
Ensuring the critical resolution of system issues by using the best cloud security solution services.

So, this brings us to the end of blog. This Tecklearn ‘Concept of DevOps Pipeline and Who are DevOps Engineers’ 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

Got a question for us? Please mention it in the comments section and we will get back to you.

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