About Digital Lync

Digital Lync

India's #1 Training Institute

Cloud DevOps
Masters Training

Cloud DevOps Masters Training combines cloud computing and DevOps principles to empower
professionals with the knowledge and skills needed to efficiently manage and automate software
delivery pipelines in cloud environments.

3 Months 5 Live Projects 4.9/5
Job Roles After Cloud DevOps Masters Training
  • DevOps Engineer
  • AWS DevOps Engineer
  • Azure DevOps Engineer
  • DevOps Consultant
  • System Administrator
Explore the Digital Lync way
1

Learn

Cloud DevOps Masters Course Curriculum

Experience the New way of Learning with AI
Digital Lync offers best technologies in the work, Curated for your Career Growth

Introduction to Software Development Life Cycle (Application Lifecycle Management)

Execution of Software Development Life Cycle (Application Lifecycle Management)

Types Of Applications

Fundamentals of Web Applications

Fundamentals of Datacenter

Fundamentals of Servers

Fundamentals of Cloud Computing

AWS EC2

Working with AWS Servers

Azure Virtual Machines

Working with Azure VM’s

Introduction to Operating Systems

Introduction to Linux OS

Linux Distributions

Linux Architecture

Command Line Interface - CLI

Understanding CLI

Linux Filesystem

Linux Navigation

File Management

File Mangement Commands

vi editor

Archives - tar & zip Utilities

Package Management

Installations On Ubuntu

Install deb files

APT Package Manager

Users & Permissions

Create Users

Create Groups

Permissions

Networking & Security

IP Address

Protocols & Ports

DNS

Firewalls

Load Balancers

Introduction to Version Control System

Centralised Version Control System

Distributed Version Control System

Git & GitHub Introduction

Git Workflow

GitHub For Collaboration

Git Branching Model

Git Merging Branches

Pull Requests

Git Rebase

Detached Head

Undoing Changes

Git Ignore

Tagging

Introduction to Containerisation

Monolithic Architecture

Microservices Architecture

Introduction to Virtualisation

Virtualisation vs Containerisation

Docker Architecture

Setting up Docker

Docker Registry

Docker Images Vs Docker Containers

Running Docker Containers

Docker Volumes

Docker Networks

Docker Logs

Docker Tags

Dockerize Applications

Portability Using Docker Registry

Docker Compose

Introduction to High Availability

Introduction to Container Orchestration

Container Orchestration Tools

Overview of Kubernetes

Kubernetes Architecture

Components of Kubernetes

Overview of Minikube

Setup Minikube

Kubernetes Objects

Pods

Replica Sets

Deployments

Services

ClusterIP

NodePort

Load Balancer

Config Maps

Secrets

Ingress

Overview of Production Clusters

Overview of AWS EKS

Setup EKS

Deploy Applications On EKS

Overview of Infrastructure As Code - IaC

Overview of Terraform

Terraform Resources

Setup Terraform

Terraform Providers

AWS CLI Setup

Setup AWS VPC - Terraform

Setup AWS EC2 Server - Terraform

Deploy Applications On AWS - Terraform

Azure CLI Setup

Setup Azure VNET - Terraform

Setup Azure VM - Terraform

Deploy Applications On Azure - Terraform

Deploy Docker Containers - Terraform

Azure Database Service - Terraform

Azure Web Apps - Terraform

Overview of Jenkins

Setting Up Jenkins

Setting Up Build Jobs

Build Triggers

Jenkins Plugins

Jenkins Pipelines

Pipeline As Code

Jenkins Integrations

Introduction To Ansible

Ansible Setup

Ansible Inventory

Ansible Modules

Ansible Ad-Hoc Commands

Introduction To YAML

Ansible Play books

Ansible Handlers

Ansible Facts & Variables

Ansible Templates

Ansible Roles

Introduction to Monitoring

Introduction to Prometheus

Prometheus Architecture

Monitoring With Prometheus

Scrapping Metrics

Node Exporter

Infrastructure Metrics

Applications Metrics

Prometheus YAML Configs

Prometheus With Docker

Introduction to Visualisation

Introduction To Grafana

Installing Grafana on a Linux Server

Grafana User Interface Overview

Grafana With Docker

Creating Grafana Dashboards

Getting started with Slack

Starting with Channels

Working with Messages

Working with Calls

Sharing Files and Conversations

Searching and Shortcuts in Slack

Slack Integrations with DevOps

Python as a Scripting Language

Python Collections and Sequences

Working with Python Collections

Python Functional Programming

Python File Handling

Python Modules and Packages

Classes in Python

Oops in Python

Application of Scripting Languages

Automation through Scripting Languages

2

Build

Work on our Real-time Projects , Task Based

3 Capstone Projects

Experience the New way of Learning with AI Digital Lync offers best technologies
in the work, Curated for your Career Growth

PROJECT 1
Deploying Learning Management System (LMS)

This project aims to deploy a Learning Management System (LMS) on AWS using EC2 instances. The LMS will consist of both a backend and a frontend, with the backend built using Node.js and PostgreSQL, and the frontend developed with React.js. Additionally, Nginx will be used to serve the frontend, and SSL certification via Certbot will provide secure access.

Skills Required for the Project
Author: Ravi Director: mani Duration: 3 Hours
PROJECT 2
Dockerize Learning Management System (LMS)

This project focuses on containerising and deploying a Learning Management System (LMS) on AWS using Docker. A Dockerfile is created to define the backend application's dependencies and runtime settings. Similarly, for the LMS frontend a dedicated Dockerfile is crafted to specify the environment for the React.js frontend application. A PostgreSQL container is created to run the database as a separate entity.

Skills Required for the Project
Author: Ravi Director: Mani Duration: 3 Hours
PROJECT 3
Setup Development Cluster With Minikube

This project revolves around leveraging Minikube as a local Kubernetes cluster for deploying a Learning Management System (LMS). The LMS consists of a backend, frontend, and a database, each orchestrated and managed using Kubernetes (k8s) deployments and services objects. The backend is built with Node.js, the frontend with React.js, and the database relies on PostgreSQL for data storage.

Skills Required for the Project
Author: Ravi Director: Mani Duration: 3 Hours
PROJECT 4
Setup Production Cluster With EKS

This project revolves around leveraging EKS as a production Kubernetes cluster for deploying a Learning Management System (LMS). The LMS consists of a backend, frontend, and a database, each orchestrated and managed using Kubernetes (k8s) deployments and services objects. The backend is built with Node.js, the frontend with React.js, and the database relies on PostgreSQL for data storage.

Skills Required for the Project
Author: Ravi Director: Mani Duration: 3 Hours
PROJECT 5
Setup CI/CD Pipeline With Jenkins

This project focuses on the implementation of a Learning Management System (LMS) with the integration of Jenkins for CI/CD (Continuous Integration/Continuous Deployment) and Docker containers for LMS deployment. The project aims to streamline the development and deployment processes while ensuring the successful integration of the LMS software. Key skills required include Jenkins for pipeline automation, Docker containerisation for deployment, knowledge of the specific LMS software, and scripting proficiency for seamless CI/CD integration.

Skills Required for the Project
Author: Ravi Director: Mani Duration: 3 Hours
3

Get Job

Our focus on job-readiness Github Profile, Linkedin Profile, Resume Prep and Help Apply

  • GitHub Profile

    Guidance on creating and maintaining a professional GitHub profile to showcase technical projects and coding prowess.

  • LinkedIn Profile

    Assistance in crafting a compelling LinkedIn profile for networking and visibility among recruiters.

  • Resume Preparation

    Expert advice on resume writing to effectively highlight skills, experience, and achievements.

  • Help in Applying

    Support in identifying suitable job opportunities and navigating the application process.

IT 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

Upcoming Batch Schedule

Week Day Batches
(Mon-Fri)

25th Sept 2023
Monday

8 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

27th Sept 2023
Wednesday

10 AM (IST)
1hr-1:30hr / Per Session

Week Day Batches
(Mon-Fri)

29th Sept 2023
Friday

12 PM (IST)
1hr-1:30hr / Per Session

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