About Digital Lync

Digital Lync

DevOps Course Training

  • Get Certified at the Best DevOps Training Institute.
  • Get trained by industry experts.
  • DevOps Classroom and Online training.
  • 20+ Real-time projects
  • Real time projects, Interviews and Job Support
25000 + Students Enrolled
4.7 Rating (500) Ratings
60 Days Duration
Roles for DevOps Course
  • DevOps Engineer
  • DevOps Architect
  • DevOps Consultant
  • System Engineer
  • System Administrator

Course Curriculum

It stretches your mind, think better and create even better.

DevOps is a software development approach involving Continuous Development, Continuous Testing, Continuous Integration, Deployment and Monitoring.

The above process spans across the traditionally siloed teams of Development and Operations and DevOps tries to remove the barriers between them.

So, a DevOps Engineer works basically with the DEVelopment and OPerations team. It's the link between those 2 main parts.

Topics Covered

SDLC Model

DevOps Practises

DevOps won't have much value without the cloud, and the cloud won't have much value without DevOps.

The centralized nature of Cloud Computing provides DevOps automation with a standard and centralized platform for developing, testing and deployment.

As a DevOps engineer, you would be working with infrastructure on cloud environments. So, during the first week we are going to work on creating servers in the AWS environment along with some other basics in AWS Cloud.

AWS you should know the fundamentals of:

IAM service - managing users and permission

VPC service - your private network

EC2 service - virtual server

Introduction of Cloud Computing

Cloud Computing Significance in DevOps

Creating AWS Account

Understanding Global Infrastructure

Setting Up Remote EC2 Servers

Git Bash

Putty & Puttygen

Working With SSH Keys

Setting With Firewall - Security Groups

AWS has much more services, but you only need to learn the services you/your company actually needs. E.g. When the K8s cluster runs on AWS you need to learn the EKS service as well.

AWS is the most powerful and most widely used one, but also the most difficult one.

Linux is everywhere. Today, Linux runs many of the technologies that power up devices and services. From mobile phones, Google applications, social media networks, to GPS services, Internet of Things (IoT) and Artificial Intelligence (AI) products etc.

Since DevOps teams share many responsibilities, A DevOps engineer who knows how to configure operating systems and networking technologies will potentially have few software delivery obstacles.

Knowing how to configure Linux for DevOps is essential to a continual and speedy software delivery process

Introduction to Linux OS

Linux Architecture

Command Line Interface

File & Directory Management

Text Editor (vi)

Linux Utilities


User Management

File Permissions

Package Management

Service Management

You also need to know the basics of Networking & Security in order to configure the infrastructure, e.g.:

configure Firewalls to secure the application

understand how IP addresses, ports and DNS works

Load Balancers

Proxy Server


However, to draw a line here between DevOps and IT Operations: You are not the SysAdmin. So you don't need advanced knowledge here.

As a DevOps Engineer, you'll work collaboratively with development and operation teams to deploy and operate our systems.

This week, we are going to understand how the application architectures work and we set up practically those applications in AWS EC2 Instances Manually. Also, will further proceed to set up our applications in an automated way using Ansible and streamline our operations and processes.

Introduction to Application Stacks

Understand Different components of an application

Understand Frontend Tier - Presentation Layer

Understand Backend Tier - Business Logic

Understand Database Tier - Backend Data

Installing and Configuring Apache HTTP Server

Deploying Web Application, Using Apache HTTP Server

High Availability Concepts For Production Scenarios

Perform Load Balancing with Amazon Classic Load Balancer

PHP Setup For Deploying Backend Tier

Creation of RDS instances in AWS for application stack

Setup Security Group firewalls to limit the database to be accessed by

only Application Server.

Understand the architecture of an application

Integration of Web, Application and Database to work as a stack

Setting Up Dynamic Web Application

Continuous Integration and Continuous Delivery (CI/CD) are often cited as pillars of successful DevOps Implementation. To establish and optimize the CI/CD model and reap the benefits, companies need to build an effective pipeline to automate their build, integration and testing processes. At a high level, the pipeline “includes compiling, packaging, and running tests.

For the next three weeks, we are going to cover the tools which help in making the pipelines to deliver the code to production in a smooth manner. We will use GIT/GITHUB, Will talk about build tools like Maven, Will talk about testing tools using CodeQuality testing using SonarQube, Will talk about Nexus Manager.

Git is a Version Control System for tracking changes in computer files and coordinating work on those files among multiple developers. It is primarily used for source code management in software development.

Topics Covered - Git/GitHub

Introduction to Version Control System

Centralized Version Control System

Distributed Version Control System

Git Introduction

Git Architecture

Git Workflow

Git Branching Model

Git Merging Branches

Detached Head For Retroscoping

Undoing Changes

Git Ignore

GitHub For Remote Repositories

Using existing GIT Repositories With Clone

Pull Requests


The process of building software is usually managed by a build tool in our case it's MAVEN

Maven’s primary goal is to allow a Developer to comprehend the complete state of a development effort in the shortest period of time.

Topics Covered - Maven

Introduction to Build Management

Introduction to Maven

Maven Lifecycle Phases

Maven Plugins

Building Java Applications

SonarQube is an open source platform developed by SonarSource for continuous inspection of Code Quality.

SonarQube offers reports on duplicated code, coding standards, unit tests, bugs and security vulnerabilities

SonarQube provides fully automated analysis and integration with Maven and Continuous Integration tools like Jenkins

Topics Covered - SonarQube

Introduction To Unit Testing

Perform White Box Testing

Analyzing Bugs and Vulnerabilities

Integration Of SonarQube with Maven

Nexus manages software "artifacts" required for development. If you develop software, your builds can download dependencies from Nexus and can publish artifacts to Nexus creating a new way to share artifacts within an organization

Topics Covered - Nexus

Introduction To Binary Repository Manager

Introduction to Nexus

Setup Nexus

Understand different types of repositories

Managing Releases

Pushing Artifacts to Nexus

Jenkins is an open source automation server written in Java. Jenkins helps to automate the non-human part of the software development process, with Continuous Integration and Continuous Delivery.

Topics Covered - Jenkins

Introduction To Continuous Integration

Introduction To Continuous Delivery

Best Practices of CI-CD

Overview of Jenkins

Setting Up Jenkins

Setting Up Build Jobs

Build Parameters

Build Triggers

Jenkins Plugins

Using GitHub Webhooks

Automatically Build Binaries Using Maven On Code Changes

Distributed Builds Master - Slave Configuration

Code Quality Integration With SonarQube to test development code

Automated Releases Using Nexus Integration

Continuous Deployments

CI - CD Pipeline

Pipeline As Code

Configuration management is important in DevOps because it helps you automate tedious tasks or take away complexity.

Without automation, building and maintaining large-scale modern IT systems can be resource-intensive and can lead to increased risk due to manual error.

Configuration management is important because it gives you consistency of systems and software enables the ability to scale infrastructure and software systems without having to correspondingly scale administrative staff to manage those systems.

Topics Covered - Ansible

Complexity in Infrastructure Management

Introduction to Configuration Management Tools

PULL vs PUSH Based Configuration Management

Introduction To Ansible

Ansible Setup

Ansible Inventory

Ansible Modules

Ansible Ad-Hoc Commands

Introduction To YAML

Ansible Playbooks

Ansible Handlers

Ansible Facts & Variables

Ansible Templates

Ansible Roles

Nowadays it’s critical to get your releases out fast, which requires having an automated CI/CD pipeline that takes your code from text to binaries to a deployed environment.

Implementing an automated pipeline in the past has been challenging, especially when dealing with legacy applications. This is where Dockers and Kubernetes come in.

Kubernetes has revolutionized the way we deploy and manage our containerized applications.

Using Kubernetes, you gain simplified application deployment. Kubernetes is one of modern DevOps tools which reduces the deployments from days to minutes.

We are going to discuss containerization technologies and the basics of Docker. Then we are going to talk on kubernetes, where we will implement the Kubernetes Production Cluster and deploy the applications on the Production Cluster.

Topics Covered - Docker

Introduction to Virtualization

Introduction to Containerization

Monolithic Architecture

Microservices Architecture

Virtualization Vs Containerization

Introduction to Docker

Docker Architecture

Setting up Docker

Docker Registry

Docker Images Vs Docker Containers

Running Docker Containers

Data Persistency

Docker Volumes

Containerize Applications

Building Custom Docker Images with Dockerfile

Pushing Docker Images To Registry

Docker Compose

Topics Covered - Kubernetes

Introduction to Container Orchestration

Introduction to Kubernetes

Kubernetes Architecture

Setup Kubernetes Production Grade Cluster - AWS


Imperative vs Declarative


Replica Sets



Kubernetes has revolutionized the way we deploy and manage our containerized applications.

Using Kubernetes, you gain simplified application deployment. Kubernetes is one of modern DevOps tools which reduces the deployments from days to minutes

Topics Covered

Introduction to Container Orchestration

Introduction to Kubernetes

Kubernetes Architecture

Setup Kubernetes Production Grade Cluster – AWS


Imperative vs Declarative


Replica Sets



Terraform is a tool that helps you manage various cloud infrastructure services in the form of code. You codify your infrastructure, and so it's also known as Infrastructure as Code (IaC).

Topics Covered

Terraform Installation

Understanding Terraform HCL

Terraform with AWS

Terraform with Ansible

Setup Highly Available Infrastructure Using Terraform

Prometheus is a free software application used for event monitoring and alerting.It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting.

Grafana is the open-source analytics & monitoring solution for every database.It's used by thousands of companies to monitor everything from infrastructure, applications, power plants to beehives.

Topics Covered

Getting started with Prometheus

Prometheus Installation

Exporters & Node Exporter

Getting started with Grafana

Integration of Grafana with Prometheus

Alerting through Prometheus & Grafana

Splunk is a popular tool for log management. There are various ways to get the logs from an application to Splunk. Once the logs are there,+they can be categorized into fields to make it easy for the operator to find the things they are interested in.

Topics Covered

Introduction to Log Analysis and Monitoring

Need of Log Analysis and Monitoring

Why Splunk for Log Analysis and Monitoring?

How Splunk Works?

Steps of Log Analysis and Monitoring with Splunk


DevOps and AI are interdependent as DevOps is a business-driven approach to deliver software, and AI is the technology that can be integrated into the system for enhanced functionality. With the help of AI, DevOps teams can test, code, release, and monitor software more efficiently. AI can also improve automation, quickly identify and resolve issues, and improve collaboration between teams.

Topics Covered

Introduction to AI

AI enabled automation testing in DevOps

Automated DevOps process improvement

QA/QC, artificial intelligence, and requirements

Smart Infrastructure as Code Software Stack

Smart DevOps Automation Software Stack

DevOps Real Time Projects

Project : 1

Build CI/ CD Pipeline with Jenkins

Jenkins Pipeline is a tool used to implement the continuous integration and continuous deployment in any organization. In order to use the tool, automated deployment must be done. In this project, you will be following the process of deploying application to execute full-fledged CI & CD. Once after the project is done, you will be equipped with extensive knowledge of automated deployment using the specific pipeline.

Skills Required for the project
GitHub Java Maven SonarQube NexusJenkins
Author: Ravi Krishna Director: Manikanta Kona Duration: 3 Hours
Project : 2

Dockerizing Python AI product

Docker images can get obsolete from time to time. It is advisable to create images for websites and applications in such a way that they can be rebuilt frequently based on the occurring changes. Docker files facilitate the generation of images for Python applications acting as an in-platform.

Skills Required for the project
Python GitHub Docker Docker Hub Jenkins
Author: Anil Kumar Director: Ramesh Babu Duration: 3 Hours
Project : 3

Deploy E Commerce application on EKS

EKS (Elastic Kubernetes Service) is a fully managed service from AWS that enables the usage of command line utilities like kubectl and eksctl for launching an EKS cluster. The service also helps in providing of Kubernets deployment, pod running of eCommerce applications and creating load balancer service- for exposing the application on the web.

Skills Required for the project
MERN Docker Kubernetes EKS
Author: Vijay Kumar Director: Abhishek Duration: 5 Hours
Project : 4

Infrastructure Automation with Terraform for Highly Available Infrastructure

The project is about deployment of application services using REACT framework reinforced with a Local Git. Using tools like Terraform, guidelines will be set for naming conventions, service plan levels, deployment locations and code repos.

Skills Required for the project
REACT GitHub Terraform
Author: Likith Sirigiri Director: Ravi Krishna Duration: 4 Hours
Project :5

Capstone Project

The Capstone project is the main and the final project that offers hands-on environment which validates the knowledge and skills that are learnt through DevOps course. The project contains multiple activities such as automating infrastructure deployment, configuring and implementing CI/CD pipeline, and designing monitoring solutions.

Skills Required for the project
Git Java Maven SonarQube Nexus Apache Tomcat Jenkins Ansible Docker Kubernetes
Author: Ramesh J Director: Radha Krishna Duration: 10 Hours

Case Studies

Verizon implementation
Salesforce implementation of DevOps

Improving agility of Salesforece by deploying DevOps solutions based on the AWS systems to improve development governance, automation and bring new applications and services online more quickly.

Sales force implementation
Cricclubs implementation of DevOps

Emphasizing on the DevOps in AppCloud approach to build on the concept of agile development and focusing on open, collaborative methods of automation to increase the speed and flexibility with features and services.

Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry. Digital-Lync will Present this certificate to students or employee trainees upon successful completion of the course which will encourage and add to trainee’s resume to explore a lot of opportunities beyond position

DevOps engineers who got trained from Digital Lync

Satish Korlapati

Senior Associate Consultant
DevOps engineers

Raveena Reddy

SRE/DevOps Engineer
DevOps engineers

Akhil Nagothu

Cloud Devops Engineer-2
DevOps engineers

Vijay Kumar Putturu

Cloud Devops Engineer
DevOps engineers

DevOps Upcoming Batch Schedule

Week Day Batches
  • Week Day Batches 13th Dec 2021 Monday
  • Week Day Batches8 AM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week Day Batches
  • Week Day Batches 15th Dec 2021 Wednesday
  • Week Day Batches10 AM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week Day Batches
  • Week Day Batches 17th Dec 2021 Friday
  • Week Day Batches12 PM (IST) 1hr-1:30hr / Per Session
Get Course Fees
Week End Batches
  • Week Day Batches 18th and 19th Dec 2021 Sat-Sun
  • Week Day Batches8 AM (IST) 1hr-1:30hr / Per Session
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AWS Upcoming Batch Schedule
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Our DevOps training has precisely been developed to reach out to the demand of the learners with keeping in mind the industry standards. This DevOps course will particularly be helpful for the career advancement of the following audience -

Graduates from College.

Currently working employees looking to upskill themselves.

Candidates looking for a change in the IT Field.

As such, there are no specific prerequisites for DevOps Training in Hyderabad. If you are familiar with programming and foundation skills with a sense of curiosity and willingness to learn you are all set for the DevOps training.

DevOps Training Classes are conducted over the Weekdays and Weekends through classroom and online sessions. Please get in touch with the Digital Lync team to get exact schedule and timings.

DevOps Course duration is 50 hours.

Weekday DevOps Training classes will be one hour long and Weekend classes will be three hours long.

Please find the detailed DevOps course curriculum in the Digital Lync DevOps training curriculum section.

Yes, we will assist our students with all the interview preparation techniques.

Inspiring Student Stories.

Here are stories of real knowldege, real people,
under real innovation.

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