About Digital Lync

Digital Lync
#1 Real-Time Azure DevOps Training
Foundations Of DevOps
Azure DevOps
Azure Cloud
Kubernetes & Terraform
Automation with Python
Site Reliability Engineer - SRE
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60 Days Duration

Why Azure DevOps Program With Digital Lync?

8 LPA Avg package
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Max (30L)

Managers said
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9 LPA Avg package
46 % Avg hike
4000 + Tech transitions

Anual Average Salaries

Min (8L)
Avg (17L)
Max (40L)

Managers said
hiring Azure Training
was top priority

10 LPA Avg package
48 % Avg hike
2000 + Tech transitions

Anual Average Salaries

Min (8L)
Avg (15L)
Max (40L)

Managers said
hiring Azure Training
was top priority

9 LPA Avg package
48 % Avg hike
3000 + Tech transitions

Anual Average Salaries

Min (97L)
Avg (15L)
Max (20L)

Managers said
hiring Azure Training
was top priority

8 LPA Avg package
44 % Avg hike
3000 + Tech transitions

Anual Average Salaries

Min (7L)
Avg (16L)
Max (30L)

Managers said
hiring Azure Training
was top priority

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Explore the Digital Lync way

Learn from Curated Curriculums developed by Industry Experts

Azure DevOps Course Curriculum

It stretches your mind, think better and create even better.
Foundations Of DevOps


1. What is an Application?

Overview of applications and their significance.

2. Types of Applications

Classification and examples of various application types.

3. Fundamentals of Web Applications

Basic concepts and components of web applications.

4. Web Application Architecture

Structure and design patterns in web application architecture.

5. Web Technologies used in Projects

Key technologies and frameworks used in web application development.


1. Introduction to Software Development Life Cycle

The phases, importance, and overview of SDLC.

2. Application Lifecycle Management - ALM

Tools, processes, and overview of ALM.

3. SDLC Methodologies

Examination of different methodologies used in software development.

4. DevOps Process

Understanding the principles, practices, and benefits of DevOps.


1. Introduction To Agile & Scrum

Fundamental overview of Agile methodologies and the Scrum framework.

2. The Principles of Agile Methodology

Core principles of Agile focusing on iterative development and customer collaboration.

3. Scrum Framework: Roles, Artifacts, and Events

Key components of Scrum, including its roles, artifacts, and structured events.

4. Implementing Agile with Scrum

Strategies for applying Agile and Scrum practices in software development projects.

5. Agile Project Management Best Practices

Essential practices for leading Agile projects, emphasizing communication and continuous improvement.


1. Introduction to Linux OS

Exploring the fundamentals of the Linux operating system.

2. Linux Distributions and Architecture

Understanding different distributions and the architecture of Linux.

Command Line Interface (CLI) & Filesystem

Mastering the CLI and navigating the Linux filesystem.

3. File Management and vi Editor

Managing files and editing them using the vi editor.

4. Archives and Package Management

Utilizing tar, zip utilities, and managing packages in Linux.

5. System Installation and Package Managers

Installing software on Ubuntu, using .deb files, and the APT package manager.

6. Users, Groups, and Permissions

Managing users and groups, and configuring permissions.

7. Networking Basics: IP Address, Protocols, & Ports

Networking Basics: IP Address, Protocols, & Ports

8. Firewalls and Security Measures

Configuring firewalls and understanding basic security measures.

9. Load Balancers

Basics of load balancing in a Linux environment for optimizing performance and reliability


1. Introduction to Version Control System

Basics of version control and its importance in software development.

2. Centralised vs Distributed Version Control System

Differences between centralized and distributed systems, with a focus on their advantages and use cases.

3. Git & GitHub Introduction

Overview of Git and GitHub, and how they revolutionize code management and collaboration.

4. Git Workflow

Understanding the standard workflow in Git, including stages of code changes and commit practices.

5. GitHub for Collaboration

Using GitHub features for project collaboration, including issues, forks, and pull requests.

6. Git Branching Model

Strategies for branching in Git, including feature branches and the master branch.

7. Git Merging and Pull Requests

Techniques for merging branches and the role of pull requests in collaborative projects.

8. Git Rebase

Understanding rebase, its advantages, and how it differs from merging.

9. Handling Detached Head and Undoing Changes

Managing a detached HEAD in Git and various ways to undo changes.

10. Advanced Git Features: Git Ignore, Tagging

Utilizing .gitignore for excluding files from tracking, and tagging for marking specific points in history.


1. Introduction to Containerisation

Essentials of container technology and its impact on software development.

2. Monolithic vs Microservices Architecture

Comparison between traditional monolithic and modern microservices approaches.

3. Introduction to Virtualisation and Containerisation

Basic concepts of virtualisation and how containerisation offers streamlined deployment.

4. Docker Architecture

Key components and structure of Docker's system architecture.

5. Setting up Docker

Guidelines for Docker installation and initial setup on various platforms.

6. Docker Registry, Images, and Containers

The roles and relationships between Docker Registry, images, and containers.

7. Running Docker Containers

Fundamentals of managing Docker containers' lifecycle.

8. Docker Volumes and Networks

Using Docker volumes for data persistence and networks for inter-container communication.

9. Docker Logs and Tags

Techniques for handling Docker logs and utilizing tags for image management.

10. Dockerize Applications and Docker Compose

Strategies for containerizing applications and orchestrating with Docker Compose.

Azure DevOps (Application Lifecycle Management)

This module provides an overview of Azure DevOps, including its core services and how to start with pipelines.


1. What is Azure DevOps?

An overview of Azure DevOps services and its ecosystem.

2. Azure Boards

Introduction to project management using Azure Boards.

3. Azure Repos

Managing code repositories with Azure Repos.

4. Azure Pipelines

Automating builds, tests, and deployments with Azure Pipelines.

5. Creating Pipelines in Azure DevOps

Step-by-step guide to setting up your first pipeline.


1. Agile Project Management Best Practices

Implementing agile methodologies using Azure Boards.

2. Basic Concepts of Azure Boards

Understanding work items, sprints, and scrum features.

3. Connecting Boards to GitHub

Integrating Azure Boards with GitHub repositories.

4. Work Items and Sprints

Managing tasks and sprints in Azure Boards for agile development.

5. Azure Boards Integrations

Enhancing Azure Boards with integrations for extended functionalities.


1. Introduction to Azure Repos

Overview and key concepts of using Azure Repos for source control.

2. Branches and Cloning in Azure Repos

Managing branches and cloning repositories for development workflows.

3. Import Code from GitHub

Steps to import existing codebases from GitHub into Azure Repos.

4. Search Your Code in Repos

Utilising search functionalities within Azure Repos for code management.

5. Azure Repos Integrations

Extending Azure Repos capabilities with external integrations.


1. Deploying with Azure Pipelines

Strategies for deploying applications using Azure Pipelines.

2. CI Triggers and YAML Basics

Configuring continuous integration triggers and understanding YAML for pipeline configuration.

3. Setting Up CI Build

Creating a continuous integration build process with Azure Pipelines.

4. Adding Tests to the Pipeline

Incorporating testing into the CI/CD pipeline for quality assurance.

5. Agents and Tasks

Understanding agents and tasks within Azure Pipelines for build and deployment processes.


1. Working with Packages in Azure Artifacts

Managing dependencies and packages with Azure Artifacts.

2. Connection Feeds and Views in Artifacts

Configuring feeds for package sharing and views for package management.

3. Connecting Azure Artifacts to Azure Pipelines

Automating package deployment with Azure Pipelines integration.

4. What are Azure Test Plans?

Introduction to planning, executing, and tracking tests with Azure Test Plans.

5. Testing Web Apps

Strategies and best practices for testing web applications using Azure Test Plans.

Azure Cloud Computing


1. Cloud Concepts

Understanding the benefits and considerations of using cloud services.

Exploring Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS).

Differentiating between Public Cloud, Private Cloud, and Hybrid Cloud models.


1. Azure Compute

Introduction to the types of compute services offered by Azure and their use cases.

2. Azure Storage

Overview of Azure's storage options and recommendations for different data types and usage scenarios.

3. Azure Networking

Basic concepts of Azure networking solutions including virtual networks, subnets, and connectivity options.

4. Azure Database Services

Introduction to Azure's database services for relational and non-relational data.


1. Azure Pricing and Support

Understanding Azure pricing, cost management tools, and Azure support plans and services.

2. Azure Governance

Azure governance methodologies, including Role-Based Access Control (RBAC), resource locks, and Azure Policy.


1. Azure Portal and Azure CLI

Utilizing the Azure Portal and Azure Command-Line Interface (CLI) for managing Azure services.

2. Azure Management Tools

Introduction to Azure management tools like Azure Monitor, Azure Resource Manager, and Azure Policy for efficient resource management.


1. App Services

Overview of Azure App Service plans, networking for an App Service, and container images.

Understanding how to deploy and manage web apps and APIs using Azure App Services.

Orchestration - with Kubernetes


1. Introduction to High Availability

Understanding the importance of high availability in systems design.

2. Introduction to Container Orchestration

Exploring the concept and need for container orchestration.

3. Container Orchestration Tools

Overview of tools available for container orchestration including Kubernetes.

4. Overview of Kubernetes

Introduction to Kubernetes and its role in container orchestration.

5. Kubernetes Architecture

Understanding the architectural components of Kubernetes.


1. Components of Kubernetes

Detailed look at core Kubernetes components, including master and node components.

2. Kubernetes Objects

Introduction to the fundamental objects in Kubernetes.

3. Pods

Understanding Pods, the smallest deployable units in Kubernetes.

4. Replica Sets

Role and functioning of Replica Sets in managing pods.

5. Deployments

How Deployments automate the updating and rollback of applications.


1. Services

Introduction to Services as a way to expose applications running on a set of Pods.

2. ClusterIP

Exploring ClusterIP for internal cluster communication.

3. NodePort

Understanding how NodePort exposes services outside of the cluster.

4. Load Balancer

Using Load Balancers to distribute traffic evenly across services.

5. Ingress

Configuring Ingress for external access to services within the cluster.


1. Config Maps

Managing application configuration using Config Maps.

2. Secrets

Securely storing sensitive information with Secrets.

3. Persistent Volume (PV) and Persistent Volume Claim (PVC)

Understanding the storage capabilities in Kubernetes with PV and PVC.

4. Storage Classes

Exploring dynamic volume provisioning through Storage Classes.

5. StatefulSets

Managing stateful applications with StatefulSets.


1. Overview of Production Clusters

Considerations for running Kubernetes in production environments.

2. Overview of AWS EKS

Introduction to Amazon Elastic Kubernetes Service (EKS).

3. Setup EKS

Steps for setting up a Kubernetes cluster on AWS EKS.

4. Deploy Applications On EKS

Practical guide to deploying applications on EKS.

5. Monitoring and Logging

Tools and strategies for monitoring and logging in a Kubernetes environment.

Terraform ( IAAC)


1. Overview of Infrastructure as Code (IaC)

The concept and importance of managing infrastructure through code.

2. Overview of Terraform

Introduction to Terraform, its architecture, and core principles.

3. Setup Terraform

Guidelines for installing and configuring Terraform.

4. Terraform Providers

Understanding how Terraform integrates with various service providers.

5. Terraform Resources

The building blocks of Terraform configuration for managing infrastructure.


1. Terraform State Management

Managing Terraform's state files for tracking infrastructure changes.

2. Terraform Modules

Utilizing modules for reusable and maintainable infrastructure code.

3. Input Variables

Defining and using input variables to customize Terraform configurations.

4. Output Values

Using output values to retrieve information about the infrastructure.

5. Terraform Workspaces

Managing multiple environments with Terraform workspaces.


1. Terraform and Security

Best practices for securing Terraform configurations and sensitive data.

2. Efficient Terraform Configurations

Techniques for writing efficient, clean, and maintainable Terraform code.

3. Terraform Plan and Apply Best Practices

Strategies for safely planning and applying Terraform configurations.

4. Debugging Terraform Configurations

Tips and tools for troubleshooting and debugging Terraform.

5. Terraform Versioning and Upgrades

Managing Terraform versions and smoothly upgrading Terraform configurations and providers.


1. Terraform for Team Collaboration

Strategies for using Terraform in a team environment to ensure consistency and collaboration.

2. Terraform in CI/CD Pipelines

Integrating Terraform with CI/CD pipelines for automated infrastructure deployment.

3. Code Organization and Module Registry

Organizing Terraform code and using the Terraform Module Registry for shared modules.

4. Terraform Best Practices

Comprehensive best practices for Terraform usage, from code structure to deployment strategies.

5. Monitoring and Maintenance

Monitoring Terraform-managed infrastructure and maintaining Terraform configurations over time.


1. Version Control Systems in Terraform Workflows

Best practices for integrating Terraform with version control systems (e.g., Git) for collaboration and versioning.

2. Collaborative Workflows with Terraform

Enhancing team collaboration through effective use of branches, pull requests, and code reviews in Terraform projects.

3. Terraform Code Reusability and Standards

Strategies for writing reusable Terraform code and establishing coding standards for team projects.

4. Documenting Terraform Code

Importance of documentation in Terraform projects and best practices for maintaining it.

5. Introduction to Terraform Cloud for Teams

A brief introduction to using Terraform Cloud for enhancing team collaboration through remote state management, workspace organization, and CI/CD integrations.

Automation with Python


1. Python as a Scripting Language

Overview of Python and its use as a powerful scripting language.

2. Python Collections and Sequences

Introduction to Python's data structures for organizing and storing data.

3. Working with Python Collections

Practical exercises on manipulating lists, dictionaries, sets, and tuples.

4. Python Functional Programming

Understanding functional programming paradigms in Python, including lambda functions and higher-order functions.

5. Python File Handling

Techniques for reading from and writing to files in Python scripts.


1. Python Modules and Packages

Utilizing modules and packages to organize and reuse code efficiently.

2. Classes in Python

Fundamentals of defining and using classes in Python.

3. Object-Oriented Programming (OOP) in Python

Exploring Python's OOP features for more complex script development.

4. Exception Handling

Techniques for handling and raising exceptions to manage errors gracefully.

5. Python Decorators and Generators

Leveraging decorators and generators to simplify and power up your Python code.


1. Automation through Scripting Languages

The role of scripting languages like Python in automation efforts.

2. Automating File System Operations

Using Python scripts to manage file and directory operations.

3. Web Scraping with Python

Techniques for extracting data from web pages using Python libraries.

4. Automating Network Tasks

Scripting network operations for automation with Python.

5. Automating API Interactions

Using Python to interact with and automate tasks using APIs.


1. Building Python Applications

Best practices and methodologies for developing robust Python applications.

2. Testing Python Applications

Introduction to unit testing and test automation in Python.

3. Python Application Deployment

Strategies for deploying Python applications, including web and standalone applications.

4. CI/CD for Python Applications

Implementing Continuous Integration and Continuous Deployment workflows for Python projects.

5. Virtual Environments and Package Management

Managing Python environments and dependencies for project isolation and reproducibility.


1. Python in CI/CD Pipelines

Integrating Python scripts and applications in CI/CD workflows.

2. Automating Builds and Tests with Python

Using Python for automated testing, including unit tests, integration tests, and end-to-end tests.

3. Python for Deployment Automation

Scripting deployment processes, including application packaging and distribution.

4. Monitoring and Logging with Python

Implementing monitoring and logging solutions in Python for applications and infrastructure.

5. Version Control Automation with Python

Automating version control workflows with Git using Python.

Site Reliability Engineer - SRE


1. Introduction to SRE

Defining Site Reliability Engineering and its objectives in maintaining highly reliable and scalable systems.

2. Introduction to Monitoring

Exploring the purpose and techniques of monitoring in SRE practices.

3. Introduction to Observability

Understanding observability and its difference from and relationship with monitoring.

4. SRE Roles and Responsibilities

Overview of the typical roles, responsibilities, and expectations of an SRE.

5. SRE Best Practices and Principles

Essential practices and foundational principles for effective site reliability engineering.


1. Introduction to Prometheus

Basics of Prometheus and its role in the monitoring landscape.

2. Prometheus Architecture

Understanding the components and architecture of Prometheus.

3. Monitoring with Prometheus

Setting up Prometheus for monitoring infrastructure and application metrics.

4. Scraping Metrics with Prometheus

Techniques for scraping and collecting metrics from various targets.

5. Prometheus YAML Configs and Node Exporter

Configuring Prometheus and using Node Exporter to gather system metrics.

Focuses on Grafana for visualizing metrics and logs, providing insights into creating effective dashboards for observability.


1. Introduction to Visualization with Grafana

Understanding the importance of data visualization in observability.

2. Installing Grafana on a Linux Server

Step-by-step installation of Grafana for setting up monitoring dashboards.

3. Grafana User Interface Overview

Navigating through Grafana's UI and understanding its features.

4. Creating Grafana Dashboards

Techniques for creating insightful and interactive dashboards in Grafana.

5. Grafana with Docker

Deploying Grafana within Docker containers for flexible and scalable monitoring solutions.


1. Integrating Prometheus and Grafana

Techniques for integrating Prometheus with Grafana to visualize metrics.

2. Alerting with Prometheus

Setting up alert rules in Prometheus and integrating with notification platforms.

3. Log Management and Analysis

Introduction to log management solutions and integrating them with monitoring tools for full observability.

4. Tracing and Distributed Tracing

Understanding tracing and distributed tracing for in-depth insights into application performance.

5. Cloud Monitoring Solutions

Overview of cloud-native monitoring and observability solutions provided by cloud service providers.


1. Infrastructure as Code (IaC) for SRE

Leveraging IaC tools for reliable and reproducible infrastructure provisioning.

2. CI/CD Pipelines for Reliable Deployments

Implementing CI/CD pipelines for automated testing and deployment.

3. SRE and DevOps: Collaboration and Tools

Exploring the overlap between SRE and DevOps practices, focusing on tooling and collaboration for reliability.

4. Automation in Incident Management

Automating incident response and management to reduce downtime and improve MTTR (Mean Time To Recovery).

5. Capacity Planning and Performance Tuning

Techniques and tools for effective capacity planning and performance tuning to ensure scalability and reliability.

tools & platforms
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Work on our Real-time Projects , Task Based

LMS Project

LMS Project

An LMS project develops a digital platform for online learning, featuring course creation, content management, user tracking, assessments, and reporting, aimed at enhancing educational interaction.

HRMS Project

HRMS Project

The HRMS project develops a digital system for managing HR functions like employee data, payroll, recruitment, and performance, aiming to streamline processes and enhance organizational efficiency.

CRM Project

CRM Project

A CRM project develops a system to manage company interactions with customers, incorporating tools for contact, sales, productivity, and support to enhance service, drive sales, and boost retention.


Get Certification

Internships and Course certifications for Enhanced Skill Validation.

Internship Certificate


Course Completion Certificate


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

25th Sept 2023

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

Week Day Batches

27th Sept 2023

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

Week Day Batches

29th Sept 2023

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

Can’t find a batch you were looking for?

Why Digital Lync

50,000+ Learners
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enriched by real-time projects and job support.

Our Locations

Come and chat with us about your goals over a cup of coffee

Hyderabad, Telangana

2nd Floor, Hitech City Rd, Above Domino's, opp. Cyber Towers, Jai hind Enclave, Hyderabad, Telangana,

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3rd Floor, Site No 1&2 Saroj Square, Whitefield Main Road, Munnekollal Villag Post, Marathahalli, Bengaluru, Karnataka

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Madhav Nager Main Road, Opp SBI Bank, Opp SP Office, Kakinada,
Andhra Pradesh

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