DEVOPS – COMPLETE DEVOPS

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Best Devops Training in Bangalore. Master DevOps tools & practices with expert-led training. Hands-on projects, real-time use cases & certification. Boost your IT career with DevOps skills. DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. It supports team empowerment, cross-team communication and collaboration, and technology automation.

Audience: Developers, Network Admins, Database Admins, System
Admins, Application Support, or anyone transitioning into DevOps
Mode: Mixed (Pre-recorded + Live)
Duration of Training : 70 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training

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Overview

The Syllabus

Curriculum Designed by Experts

Linux Fundamentals for Devops Engineers

• Why Linux dominates Cloud platforms
• Linux distributions in Cloud
o Amazon Linux, RHEL, Ubuntu
• Linux vs Windows in cloud workloads
• SSH & key-based access concept

2. Linux Installation & Access (Cloud Context)

• Cloud VM concepts (EC2 / VM / Compute Engine)
• Connecting to Linux Cloud VMs
o SSH
o Key pairs (.pem / .ppk)
• Terminal basics
Hands-On
• SSH to cloud Linux VM
• Understand directory structure

3. Linux File System & Commands (Must-Know)

• Linux directory structure
• File & directory commands
o ls, cd, pwd
o cp, mv, rm
o touch, mkdir
• Viewing files
o cat, less, more, head, tail
• Search & filters
o grep, find
• File permissions
o chmod, chown

4. Users, Groups & Permissions

• Users & groups
• /etc/passwd, /etc/shadow, /etc/group
• Sudo access
• Secure permission practices in cloud
Hands-On
• Create cloud admin user
• Configure sudo access

5. Package Management

• Package managers
o yum, dnf, apt
• Installing, updating & removing packages
• Repositories concept
Hands-On
• Install Apache / Nginx
• Verify running services

6. Process & Service Management

• Linux processes
o ps, top, htop
• Service management
o systemctl
• Enable services at boot
• Troubleshooting crashed services

7. Networking Basics (Cloud-Relevant)

• IP addressing basics
• Check network info
o ip, ss, netstat
• DNS resolution
• Ports & firewall basics
o firewalld, iptables (intro)
• Security Groups vs Linux firewall

8. Storage & Disk Management

• Linux disk concepts
• Mounting file systems
• Cloud disks (EBS / Persistent Disk)
• Resize disks & file systems
Hands-On
• Attach new disk & mount
• Extend file system

9. Logs & Troubleshooting

• Log locations
o /var/log
• Important logs
o messages, secure, syslog
• Journal logs
o journalctl
• Basic troubleshooting approach

10. Automation Basics for Cloud

• Shell scripting fundamentals
• Environment variables
• Cron jobs
• Startup scripts (cloud bootstrapping)

11. Security Basics for Cloud Linux

• SSH hardening
• Disable root login
• Key-based authentication
• File permission best practices

12. Linux for DevOps & Cloud Tools

• Linux + Git basics
• Linux + Docker (intro)
• Linux + Cloud CLI tools
o AWS CLI / Azure CLI (concept)

Real-World Cloud Scenarios

• VM not reachable via SSH
• Disk full on cloud VM
• Service not starting after reboot
• High CPU usage troubleshooting
• Securing production Linux VM

Cloud Computing: AWS Fundamentals for Devops Engineers

• What is Cloud Computing
• What are different cloud vendors
• IAAS, PAAS, SAAS
• Public and Private Cloud
• AWS Infrastructure
• AWS Billing
• AWS Account Types
• AWS Support Center
• GitHub: https://github.com/aws

AWS Services

• IAM User, Group, Role, Policy Document, Access Key, Secret Access
Key
• S3 Bucket and Object
• EC2 Provisioning Linux virtual machine on AWS
• VPC Provisioning virtual network on AWS cloud

Module 1: Development Environment Setup

1. Install and configure Java 21 on Windows
2. Install and configure Maven
3. Install Git
4. Install Visual Studio Code (VSCode)
5. Install IntelliJ IDEA
6. Create a GitHub Account
7. Create a Free AWS Account
8. Install and configure AWS CLI
9. Create an IAM User and configure credentials
10. Generate GitHub Token
11. Create and initialize a GitHub Repository

🚀 Python Fundamentals for DevOps Engineers (15 Hours)

🚀 Focus:
Automation | Scripting | CI/CD | Cloud | Real-Time DevOps Tasks
Level: Beginner → Job-ready Basics
Approach: 70% Hands-on + 30% Theory
🚀 15-HOUR TRAINING BREAKDOWN

Module 1: Python Basics (Quick Start)

Duration: 2 Hours
Topics:
• Python installation & execution
• Variables, data types (int, string, boolean)
• Input/output operations
• Type casting
🚀 Assignments:
• Script to print server details
• Convert storage units (GB → MB)
🚀 Mini Task:
👉 CLI script to accept environment name (Dev/QA/Prod)

Module 2: Control Flow & Loops

Duration: 2 Hours
Topics:
• if-else conditions
• for & while loops
• Logical operators
🚀 Assignments:
• Check server status (UP/DOWN simulation)
• Loop through list of IPs
🚀 Mini Task:
👉 Basic server monitoring script

Module 3: Data Structures (DevOps Usage)

Duration: 2 Hours
Topics:
• Lists, dictionaries (most important)
• JSON handling (API responses)
🚀 Assignments:
• Store server inventory in dictionary
• Parse JSON data
🚀 Mini Task:
👉 Create mini inventory system (like Ansible)

Module 4: Functions & Reusability

Duration: 1.5 Hours
Topics:
• Functions, arguments, return values
• Code modularization
🚀 Assignments:
• Function to check disk usage
• Function to restart service

Module 5: File Handling & Logs

Duration: 2 Hours
Topics:
• Read/write files
• Log file parsing
🚀 Assignments:
• Extract ERROR logs from file
• Count failed login attempts
🚀 Mini Project:
👉 Log analyzer script

Module 6: OS & System Automation

Duration: 2 Hours
Topics:
• os, subprocess
• Running Linux commands via Python
• Environment variables
🚀 Assignments:
• Check disk/memory usage
• Restart services via script
🚀 Mini Project:
👉 System health check automation

Module 7: API Automation (Critical Skill)

Duration: 2 Hours
Topics:
• REST API basics
• requests module
• GET/POST calls
🚀 Assignments:
• Fetch API data
• Trigger Jenkins job using API
🚀 Mini Project:
👉 API-based deployment trigger tool

Module 8: Python with AWS (Intro)

Duration: 1.5 Hours
Topics:
• Introduction to Boto3
• EC2 & S3 automation basics
🚀 Assignments:
• Launch EC2 (demo script)
• Upload file to S3

🚀 Final Capstone (hands-on –1 Hour)

🚀 Project:
👉 “DevOps Automation Script”
Features:
• Read server list from file
• Check server health
• Log output
• Trigger deployment via API

Module 1: Development Environment Setup

✅Assignments:
• Install Java, Maven, Git, AWS CLI
• Create GitHub repo & push sample code
• Configure IAM user with CLI access
🚀 Mini Project:
👉 Setup complete DevOps developer environment and push a sample Java
app
🚀 Scenario:
• Onboarding new developer into enterprise DevOps environment

Module 2: Monolith and Microservices

Overview: Learn to develop microservices from scratch using Java,
compile, package, and run microservices locally using Maven.
Hands-on: Build and test your microservices in a local environment with
practical implementation exercises.
• Develop microservices from scratch using Java
• Compile, package, and run microservices on local machine using
Maven
• Test your microservices locally
• GitHub: https://github.com/spring-projects/spring-boot
✅Assignments:
• Convert monolithic app into 2 microservices
• Build using Maven
🚀 Project:
👉 Build E-commerce Microservices (Product + Order Service)
🚀 Scenario:
• Migrating legacy banking application to microservices

Module 3: Source Version Control

Git: Essential distributed version control system for tracking code changes
and collaboration.
Skills: Master virtual staging area, branching, merging, and essential Git
operations for professional development workflows.
• Git: DVCS, virtual area, Git operations
• GitHub: https://github.com/git/git
✅Assignments:
• Branching strategies (feature, release, hotfix)
• Pull request + code review workflow
🚀 Project:
👉 Implement GitFlow strategy for microservices project
🚀 Scenario:
• Handling multiple developers working on same repo

Module 4: Source Code Management

GitHub: Industry-standard platform for hosting Git repositories and
enabling team collaboration.
Features: Learn repository management, branching strategies, code
reviews, and automated workflows for efficient project delivery.
• GitHub: Public and Private Repositories, branching strategies, code
promotions, webhooks, branch permissions, best practices
• GitHub: https://github.com/github

Module 5: Build Tools

Maven: Powerful build automation tool that simplifies Java project
management and dependency resolution.
Mastery: Configure POM files, manage dependencies, plugins, and
repositories for streamlined development and deployment processes.
• Maven: Build automation using pom.xml, dependencies, plugins,
settings.xml, repository
• Compile, package, and run Java-based microservices using Maven
• Local repo, central repo, remote repo
• GitHub: https://github.com/apache/maven
✅Assignments:
• Create custom pom.xml
• Dependency management
🚀 Project:
👉 Automate build & packaging for microservices
🚀 Scenario:
• Fixing build failures due to dependency conflicts

Module 6: Core CI/CD with Jenkins

Jenkins: Leading open-source automation server that enables continuous
integration and deployment pipelines.
Implementation: Set up Jenkins on AWS EC2, configure plugins, manage
secrets, and create automated build triggers for efficient software delivery.
• Jenkins: Installation of Jenkins on AWS EC2
• Jenkins Plugins, Tools Configuration, Secrets Configuration, Build
triggers
• Jenkins CLI
• Declarative Pipeline: Syntax for defining Jenkins CI/CD steps using
code
• Parameterized Pipeline
• Jenkins Master-Slave Architecture
• Jenkins User Administration
• GitHub: https://github.com/jenkinsci/jenkins
✅Assignments:
• Create freestyle + pipeline jobs
• Parameterized builds
🚀 Project:
👉 Build End-to-End CI Pipeline
• Code → Build → Test → Package
🚀 Scenario:
• Fix broken CI pipeline in production

Module 7: Containerization using Docker

Docker: Revolutionary containerization platform that packages
applications with their dependencies for consistent deployment across
environments.
Expertise: Master Dockerfile creation, image management, container
orchestration, networking, and storage solutions for modern application
deployment.
• Dockerfile
• Docker images
• Docker containers
• Docker registry
• Docker daemon
• Docker network
• Docker volume
• Docker operations
• Linux Kernel Features: Namespace, Cgroup, IPTables
• GitHub: https://github.com/docker/docker-ce
✅Assignments:
• Create Dockerfile for Java app
• Manage volumes, networks
🚀 Project:
👉 Containerize microservices application
🚀 Scenario:
• Debug container crash in production

Module 8: Managed and Unmanaged Artifact Repositories

Docker Hub: Cloud-based registry service for sharing and managing
Docker container images globally.
Features: Learn image publishing, automated builds, and integration with
CI/CD pipelines for seamless container distribution.
• Create repository on Docker Hub and manually update Docker
images
• Integrate with Jenkins CI pipeline to push images automatically
• GitHub: https://github.com/docker/hub-feedback
AWS ECR: Amazon’s fully managed Docker container registry with
integrated security scanning and seamless AWS service integration.
• Create repository on AWS ECR and push images manually
• Integrate with Jenkins CI pipeline to push images automatically
• GitHub: https://github.com/aws/amazon-ecr-cli
Nexus: Universal artifact repository manager that supports multiple
package formats and provides advanced security features.
• Install and configure Nexus on AWS EC2
• Configure S3 backend for Nexus
• Create Docker repository on Nexus
• GitHub: https://github.com/sonatype/nexus-public
✅Assignments:
• Push images to Docker Hub & AWS ECR
• Configure Nexus repo
🚀 Project:
👉 Centralized artifact management system
🚀 Scenario:
• Secure artifact storage for enterprise apps

Module 9: Continuous Code Inspection Tool

SonarǪube: Comprehensive code quality platform that performs static
analysis to detect bugs, vulnerabilities, and technical debt.
• Install and configure SonarǪube on AWS EC2
• Integrate SonarǪube with Jenkins CI pipeline for automated code
quality analysis
• GitHub: https://github.com/SonarSource/sonarqube
✅Assignments:
• Setup SonarQube
• Analyze code via Jenkins
🚀 Project:
👉 Integrate Quality Gates in CI/CD
🚀 Scenario:
• Reject deployment due to code vulnerabilities

Module 10 Infrastructure as Code with Terraform

Terraform: HashiCorp’s infrastructure provisioning tool that enables
declarative resource management across multiple cloud providers.
Automation: Build scalable, version-controlled infrastructure using HCL
syntax, modules, and state management for reliable deployment
processes
• Terraform: IaC tool to provision and manage cloud resources
declaratively
• Terraform providers
• Terraform blocks: provider{}, terraform{}, resource{}, variable{},
data{}, output{}
• Terraform alias
• Terraform tfvars
• Terraform dependency: implicit and explicit
• Terraform provisioning: local and remote
• Terraform Modules C Backend: Modular, reusable infrastructure with
remote state using S3
• Terraform Jenkins Integration: Automate provisioning using Jenkins
pipelines
GitHub: https://github.com/hashicorp/terraform
✅Assignments:
• Create EC2, VPC via Terraform
• Use variables & modules
🚀 Project:
👉 Build Reusable Terraform Modules
🚀 Scenario:
• Provision infra for 10 environments (dev, QA, prod)

Module 11: Configuration Management with Ansible

Ansible: Red Hat’s agentless automation platform that simplifies
configuration management, application deployment, and orchestration.
Automation: Implement infrastructure automation using YAML playbooks,
roles, and inventories for consistent system configuration and deployment.
Ansible Concepts:
• Ansible architecture and components
• Ansible installation and setup
• Ansible ad-hoc commands for quick tasks
• Ansible playbooks for complex automation workflows
• Ansible roles for reusable automation components
GitHub: https://github.com/ansible/ansible
✅Assignments:
• Write playbooks for server setup
• Configure roles
🚀 Project:
👉 Automated server configuration (Web + DB servers)
🚀 Scenario:
• Patch 100 servers automatically

Module 12: Container Orchestration with Kubernetes

Kubernetes: Google-originated container orchestration platform that
automates deployment, scaling, and management of containerized
applications.
Orchestration: Master cluster architecture, workload management,
service discovery, and auto-scaling for production-ready container
environments.
1. Kubernetes Architecture
• Control Plane C Worker Nodes
• Kube API Server, Kube Scheduler, Kube Controller, Cloud Controller,
etcd
• Container Runtime, Kubelet, Kube-Proxy
• Kubectl C Kubeconfig
2. Kubernetes Cluster Setup
• Cluster Creation on AWS EKS and kops
• Private AWS EKS Cluster Creation using Terraform
3. Kubernetes Objects
• Namespace, Service, Ingress
• Deployment, Pod Management (create, scale, update)
• ConfigMap, DaemonSet, StatefulSet
• NodeSelector, PersistentVolume (PV), PersistentVolumeClaim (PVC)
• Horizontal Pod Autoscaler (HPA)
4. Scaling G Autoscaling: Cluster Autoscaler , Karpenter and KEDA
(Kubernetes Event-driven Autoscaling)
5. Kubernetes Upgrades: Cluster Upgrade and Rolling Upgrade
GitHub: https://github.com/kubernetes/kubernetes
✅Assignments:
• Deploy pods, services, ingress
• Setup HPA
🚀 Project:
👉 Deploy microservices on AWS EKS
🚀 Scenario:
• Fix pod crashloop / memory issues

Module 13: Observability and Monitoring

Prometheus: Open-source monitoring system with powerful time-series
database and flexible query language for metrics collection.
Monitoring: Implement comprehensive application and infrastructure
monitoring with alerting capabilities for proactive system management.
Prometheus:
• Installation of Prometheus on AWS EKS using Helm 3
• Configure ingress endpoint for Prometheus
• Monitoring system for collecting and querying metrics
GitHub: https://github.com/prometheus/prometheus
Grafana: Feature-rich visualization platform that creates interactive
dashboards and alerts from multiple data sources.
Visualization: Build stunning, real-time dashboards that provide
actionable insights into system performance and business metrics.
Grafana:
• Installation of Grafana on AWS EKS using Helm 3
• Configure ingress endpoint for Grafana
• Visualization tool to create dashboards from various data sources
GitHub: https://github.com/grafana/grafana
✅Assignments:
• Setup dashboards
• Configure alerts
🚀 Project:
👉 End-to-End Monitoring Dashboard
🚀 Scenario:
• Detect CPU spike and alert SRE team

🚀 Final Capstone Projects (Industry Level)

🚀 Project 1: End-to-End DevOps Pipeline
• Git → Jenkins → Docker → ECR → Kubernetes → Monitoring
🚀 Project 2: Terraform + Jenkins Automation
• Infra provisioning via pipeline
🚀 Project 3: Microservices Deployment on Kubernetes
• Multi-branch CI/CD pipeline
🚀 Project 4 (ADVANCED – HIGH VALUE)
👉 Production Simulation Project
• High traffic simulation
• DB tuning
• Auto scaling
• Incident handling

🚀 EXTRA 50+ REAL-TIME SCENARIOS

🚀 Examples:
• Jenkins pipeline failure after plugin update
• Kubernetes node failure
• Docker image vulnerability
• AWS billing spike issue
• PostgreSQL slow query during peak hours
• Replica lag in production
• Terraform state corruption

🚀 Deliverables

• ✅Resume-ready 4 Projects
• ✅CI/CD Pipeline Templates
• ✅Terraform Modules
• ✅Kubernetes YAMLs
• ✅Incident Runbook
• ✅Monitoring Dashboards

🚀 Final Outcome

After this training, candidates can apply for:
• DevOps Engineer
• Site Reliability Engineer (SRE)
• Cloud Engineer
• Platform Engineer
• Production Support Engineer

🚀 BONUS (If you want next level)

I can further enhance this into:
• 👉 Day-wise 100-hour trainer plan
• 👉 Lab manual (step-by-step commands)
• 👉 Interview Q&A (200+ questions)
• 👉 Hands-on exam / mock assessment
• 👉👉 Placement-focused resume + LinkedIn kit

Additional Tools (if batch will perform all labs only then)

Packer: HashiCorp’s tool for creating identical machine images across
multiple platforms from a single source configuration.
Image Management: Automate the creation of golden AMIs with preinstalled software and configurations for consistent, secure deployments.
• Automatesthe creation of Golden AMI on AWS
GitHub: https://github.com/hashicorp/packer
ArgoCD: GitOps continuous delivery tool that automatically synchronizes
Kubernetes applications with Git repository configurations.
GitOps: Implement declarative application delivery with automated
synchronization, rollback capabilities, and visual deployment tracking for
Kubernetes environments.
ArgoCD:
• Deploy ArgoCD on AWS EKS cluster
• Configure ingress endpoint for ArgoCD
• GitOps continuous delivery for Kubernetes
GitHub: https://github.com/argoproj/argo-cd

Major Projects

Project 1: Private AWS EKS Cluster using Terraform
Objective: Build a production-ready private EKS cluster with complete
infrastructure automation.
Skills: Advanced Terraform configuration, AWS networking, Kubernetes
cluster setup, and security best practices.

Project 2: Terraform Module Development and AWS Resource Deployment
via Jenkins Pipeline
Objective: Create reusable Terraform modules and automate
infrastructure deployment through Jenkins CI/CD pipelines.
Skills: Modular infrastructure design, Jenkins integration, automated
testing, and Infrastructure as Code best practices.

Project 3: Multi-branch Jenkins Pipeline for Container Microservices
Deployment on Kubernetes
Objective: Implement a complete CI/CD pipeline that automatically
builds, tests, and deploys microservices to Kubernetes based on Git
branch strategies.
Skills: Advanced Jenkins pipelines, containerization, Kubernetes
deployments, and GitOps workflows.

Upcoming BATCHES

Start Date	Time	Day	Mode	Enroll Now
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Why Radical Technologies

Live Online Training

Highly practical oriented training

Installation of Software On your System

24/7 Email and Phone Support

100% Placement Assistance until you get placed

Global Certification Preparation

Trainer Student Interactive Portal

Assignments and Projects Guided by Mentors

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

Weekend / Weekdays / Morning / Evening Batches

80:20 Practical and Theory Ratio

Real-life Case Studies

Easy Coverup if you missed any sessions

PSI | Kryterion | Redhat Test Centers

Life Time Video Classroom Access ( coming soon )

Resume Preparations and Mock Interviews

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Self Paced Training

Self Paced Learning

Learn 300+ Courses at Your Own Time

50000+ Satisfied Learners

Course Completion Certificate

Practical Labs Available

Mentor Support Available

Doubt Clearing Session Available

Attend Our Virtual Job Fair

10% Discounted Global Certification

Course completion certificate and Global Certifications are part of our all Master Program

Skills Covered

Foundational DevOps Principles
Continuous Integration (CI)
Continuous Delivery (CD)
Containerization
Configuration Management
Cloud Platforms and Cloud Computing
Networking and Security

Monitoring and Logging
Automation
Infrastructure Management
Testing Automation
Microservices Architecture
Advanced Kubernetes
Service Mesh

Database Management in DevOps
Collaboration Tools
CI/CD for Mobile Apps
Cost Optimization
Soft Skills

tool covered

Like the Curriculum ? Let's Get Started

Why Enroll for DevOps ?

In-Demand Skills

Unlock in-demand DevOps skills with our COMPLETE DEVOPS Course Training! Learn automation, CI/CD pipelines, cloud integration, and more. Why enroll? Get certified with expert-led training to enhance your career. Master DevOps tools, boost your IT knowledge, and stay competitive in the job market!

Career Opportunities

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Ensure top-level security and compliance with our DEVOPS - COMPLETE DEVOPS Course Training! Understand compliance requirements, risk management, and security measures. Enroll today for certification, expert guidance, and build a secure, compliant infrastructure in the evolving DevOps environment!

Course benefits

Holistic Understanding of DevOps Practices
Automation Mastery
Improved Software Quality
Better Collaboration and Communication
Scalability and Flexibility
Enhanced Security (DevSecOps)
Faster Time-to-Market
Career Growth and Opportunities
Cost Efficiency
Real-World Projects and Hands-On Experience
Adaptability to Future Technologies
Cross-Platform Knowledge

Who Can Apply for Red Hat Linux

Information Architects and Statisticians
Developers looking to master Machine Learning and Predictive Analytics
Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).

Why DevOps ?

Scalability

Achieve scalability with our DEVOPS - COMPLETE DEVOPS Course Training! Learn to design systems that grow with demand, optimize resources, and boost performance. Enroll for certification, expert-led guidance, and become proficient with the scalable infrastructures needed to succeed in the modern IT environment!

Flexibility

Unlock flexibility with our DEVOPS - COMPLETE DEVOPS Course Training! Learn to adapt systems quickly, automate workflows, and integrate tools effortlessly. Enroll now for certification, expert-led training, and gain the skills to build flexible, future-ready DevOps environments that suit any business need!

Cost-Effectiveness

Boost cost-effectiveness with our DEVOPS - COMPLETE DEVOPS Course Training! Learn to optimize resources, reduce operational costs, and streamline automation. Enroll for certification, expert guidance, and gain the skills to create efficient, cost-saving DevOps solutions vital for today’s IT landscape!

Security and Compliance

Ensure Security and Compliance with our DEVOPS - COMPLETE DEVOPS Course Training! Learn to safeguard infrastructure, automate compliance checks, and adhere to industry standards. Enroll for certification, expert-led training, and develop secure, compliant DevOps systems crucial for today’s IT landscape!

Hybrid Capabilities

Enhance hybrid capabilities with our DEVOPS - COMPLETE DEVOPS Course Training! Master cloud and on-premise integrations, enabling seamless workflows across platforms. Enroll for certification, expert guidance, and gain the skills to build versatile, hybrid DevOps environments for modern IT demands!

Innovation

Drive innovation with our DEVOPS - COMPLETE DEVOPS Course Training! Master cutting-edge tools, streamline workflows, and foster continuous improvement. Enroll today for certification, expert-led training, and gain the skills to build innovative DevOps solutions for dynamic IT environments!

Global Certification

AWS Certified DevOps Engineer - Professional
Certified Kubernetes Administrator (CKA)
Docker Certified Associate (DCA)
Microsoft Certified: Azure DevOps Engineer Expert
Google Cloud Professional DevOps Engineer
Certified Jenkins Engineer (CJE)
HashiCorp Certified: Terraform Associate
DevOps Foundation (DevOps Institute)

Red Hat Linux Fees in Bangalore

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career services

Job Assistance
Interview Preparation
Profile Buliding

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.

At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.

Red Hat Linux Course Projects

Infrastructure Provisioning

And Configuration Management

Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.

Applications Deployment

And Orchestration

Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible

Continuous Integration

And Continuous Deployment

Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.

Radical Learning Eco-System

Exam simulator

Cloud SandBox

Hands - on Cloud Lab

Developer Coding Ground

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DevOps FAQs

What is DevOps?

DevOps is a methodology that combines software development (Dev) and IT operations (Ops) to improve collaboration, automate processes, and enable continuous delivery of high-quality software. It emphasizes the integration of development and operational workflows to achieve faster and more reliable software releases.

How does DevOps differ from traditional IT operations?

Traditional IT operations often involve separate teams for development and operations, leading to longer release cycles and potential communication barriers. DevOps breaks down these silos, promoting collaboration, automation, and continuous feedback, which results in faster releases and more efficient operations.

What are the key principles of DevOps?

The core principles of DevOps include continuous integration, continuous delivery, infrastructure as code, automation, collaboration, monitoring, and feedback loops. These principles help streamline processes and improve the quality and speed of software delivery.

What is Continuous Integration (CI)?

Continuous Integration (CI) is the practice of automatically integrating code changes into a shared repository several times a day. Each integration is automatically tested to detect errors early, allowing teams to address issues before they affect the final product.

What is Continuous Delivery (CD)?

Continuous Delivery (CD) extends Continuous Integration by automatically preparing and deploying code to production or other environments. It ensures that code is always in a deployable state, reducing the time between development and release.

How does DevOps improve collaboration between development and operations teams?

DevOps encourages a culture of shared responsibility and open communication between development and operations teams. By using common tools, automating tasks, and creating feedback loops, DevOps aligns both teams toward a common goal: faster, more reliable software delivery.

What tools are commonly used in DevOps?

Common DevOps tools include Jenkins (for CI/CD), Docker (for containerization), Kubernetes (for container orchestration), Git (for version control), Ansible (for configuration management), Terraform (for infrastructure as code), and Prometheus (for monitoring).

What is Infrastructure as Code (IaC)?

Infrastructure as Code (IaC) is the practice of managing and provisioning infrastructure through machine-readable configuration files rather than through manual processes. Tools like Terraform and AWS CloudFormation allow you to automate infrastructure deployment, making environments more scalable and consistent.

How does containerization relate to DevOps?

Containerization is key in DevOps as it allows applications to be packaged with all their dependencies, ensuring consistent environments across development, testing, and production. Docker is a popular tool for creating containers, and Kubernetes is used to manage and scale these containers.

What is the role of automation in DevOps?

Automation is a critical component of DevOps, helping to streamline repetitive tasks such as testing, building, and deploying applications. Automation reduces errors, improves efficiency, and allows teams to focus on more complex tasks rather than manual interventions.

What is the difference between DevOps and Agile?

While both DevOps and Agile aim to improve software development efficiency, Agile focuses on improving collaboration and adaptability within development teams through iterative development. DevOps extends these practices to include operations, emphasizing automation, continuous delivery, and cross-team collaboration.

What is DevSecOps?

DevSecOps integrates security practices into the DevOps process, ensuring that security is considered at every stage of the software development lifecycle. It automates security checks and helps identify vulnerabilities early, preventing security issues from reaching production.

What are the benefits of adopting DevOps for an organization?

DevOps offers several benefits, including faster time to market, improved collaboration between teams, higher-quality software, reduced downtime, and enhanced scalability. Organizations that adopt DevOps can also respond more quickly to market changes and customer feedback.

How does monitoring fit into the DevOps lifecycle?

Monitoring is essential in DevOps as it provides continuous feedback on system performance and health. Tools like Prometheus, Nagios, and Grafana are used to track metrics, detect issues, and ensure the system operates efficiently. Monitoring helps teams identify potential bottlenecks and fix issues before they escalate.

What is the role of cloud platforms in DevOps?

Cloud platforms play a crucial role in DevOps by providing scalable and flexible environments where infrastructure can be provisioned and managed easily. DevOps practices, such as Infrastructure as Code and CI/CD, are well-suited for cloud environments like AWS, Azure, and Google Cloud, allowing teams to automate deployments and scale applications on-demand.

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Most Probable Interview Questions Asked for DevOps

How would you approach automating a deployment process for an application that needs to be deployed across multiple cloud environments (AWS, Azure, GCP)?
What role do monitoring and logging play in a DevOps pipeline, and which tools have you used to monitor production environments and ensure system health?
Describe a time when you implemented Infrastructure as Code (IaC). What tools did you use, and how did this approach improve the scalability and reliability of the infrastructure?
Can you explain the key differences between Continuous Integration, Continuous Delivery, and Continuous Deployment, and how they contribute to the DevOps lifecycle?
In your opinion, what are the major challenges teams face when transitioning from a traditional software development model to a DevOps culture? How have you addressed or overcome these challenges in your experience?

Can you provide an example of a failure or a challenge you faced in a DevOps project, and explain how you handled the situation to prevent similar issues in the future?
DevOps relies heavily on collaboration and communication between teams. How have you facilitated better collaboration between development, operations, and QA teams in previous roles?
How do you manage version control in a multi-team DevOps environment? What processes or tools do you use to handle code merges, branching strategies, and conflict resolution?
Can you describe your experience with containerization technologies such as Docker and Kubernetes? How do you ensure that your containerized applications are scalable and resilient?
What strategies or tools do you use to ensure security is integrated throughout the DevOps pipeline (DevSecOps)? Can you provide an example of how you’ve automated security checks?

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About DevOps Certification

DevOps has emerged as a transformative approach in the software development lifecycle, blending development (Dev) and operations (Ops) to enhance collaboration, efficiency, and agility. A DevOps certification is a valuable credential that validates your expertise in this increasingly crucial discipline, equipping you with the skills needed to streamline processes, ensure continuous delivery, and improve overall software quality. Whether you are a developer, operations professional, or someone looking to break into the tech industry, a DevOps certification provides you with a competitive edge.

Why Choose DevOps Certification?

In today’s fast-paced digital world, companies are striving to deliver applications and services at lightning speed, all while maintaining quality and reliability. DevOps bridges the gap between development and operations by promoting automation, collaboration, and iterative improvement. Earning a DevOps certification helps professionals master industry-standard tools and practices, making them indispensable in delivering modern, scalable software solutions.

Key Features of DevOps Certification

Comprehensive Curriculum: A well-structured DevOps certification program covers a wide range of topics, including continuous integration and continuous deployment (CI/CD), version control with Git, containerization with Docker, orchestration with Kubernetes, cloud infrastructure management, and monitoring using tools like Prometheus and Grafana.
Hands-on Experience: DevOps certification programs often emphasize real-world projects that provide hands-on experience with popular tools and platforms. This enables you to understand practical applications of DevOps concepts, giving you the confidence to handle complex workflows in actual work environments.
Industry-Relevant Tools: Learn to work with cutting-edge tools such as Jenkins, Ansible, Puppet, Nagios, AWS, Azure, and Google Cloud. These tools help automate tasks, monitor performance, and manage infrastructure efficiently, ensuring you stay at the forefront of technological advancements.
Collaboration and Communication: One of the core principles of DevOps is fostering effective collaboration between development and operations teams. Through your certification training, you will gain a deeper understanding of how to facilitate communication and collaboration to reduce silos, resolve conflicts, and promote a culture of shared responsibility.
Performance Optimization: As a certified DevOps professional, you will learn to optimize system performance by automating testing, deploying frequent updates, and continuously monitoring software performance. This results in faster delivery cycles, reduced downtime, and enhanced customer satisfaction.

Who Should Pursue DevOps Certification?

A DevOps certification is ideal for:

Software Developers: Looking to broaden their understanding of operational processes and gain skills in automation, deployment, and integration.
System Administrators and IT Operations: Seeking to enhance their knowledge of development practices and learn how to integrate operations smoothly with development teams.
Quality Assurance Engineers: Aiming to streamline testing processes and integrate automation for continuous testing within CI/CD pipelines.
Cloud Professionals: Wanting to deepen their expertise in cloud-based deployment, orchestration, and management using platforms like AWS, Google Cloud, or Azure.
Project Managers: Interested in gaining insights into how DevOps can improve workflow efficiency, project timelines, and collaboration between cross-functional teams.

Applications of DevOps

DevOps is a powerful methodology that integrates development and operations teams to enhance collaboration, automation, and efficiency throughout the software delivery lifecycle. By breaking down silos and emphasizing continuous integration, delivery, and deployment, DevOps has transformed how businesses develop, release, and manage software. Below are some of the key applications of DevOps across industries and technology domains.

1. Continuous Integration and Continuous Deployment (CI/CD)

DevOps is widely applied in automating the software development process through CI/CD pipelines. Continuous integration ensures that code changes are automatically tested and integrated into the main branch as soon as they are submitted. Continuous deployment takes this a step further by automating the release of these code changes into production environments. This application reduces manual intervention, speeds up release cycles, and allows for more frequent updates with fewer errors.

Example: Organizations like Netflix, Amazon, and Facebook use CI/CD pipelines to deploy updates multiple times a day, ensuring a seamless user experience without major downtimes.

2. Infrastructure as Code (IaC)

One of the central applications of DevOps is Infrastructure as Code, which allows teams to manage and provision computing infrastructure using machine-readable scripts or configuration files. IaC enables teams to automatically set up servers, storage, and networking resources in cloud environments, ensuring consistency across development, testing, and production environments.

Example: Tools like Terraform and AWS CloudFormation allow DevOps teams to define infrastructure configurations in code, making it easy to replicate environments and scale infrastructure dynamically.

3. Automation of Testing and Quality Assurance

Automated testing is a crucial application of DevOps, allowing developers to run test cases automatically every time code is updated. This ensures that any bugs or errors are caught early in the development process. Automated testing improves the overall quality of the software by reducing the chances of human error during manual testing.

Example: Selenium, JUnit, and Jenkins are popular tools used for automating functional and regression testing in DevOps pipelines, ensuring that code changes are reliable before being deployed to production.

4. Containerization and Microservices

DevOps facilitates the use of containerization to create lightweight, portable applications that can run consistently across different environments. Containers package an application with all its dependencies, enabling easy deployment across development, staging, and production environments. Additionally, DevOps supports microservices architecture, where applications are broken down into smaller, independent services that can be developed, deployed, and scaled individually.

Example: Docker and Kubernetes are popular DevOps tools used for containerization and orchestration, helping companies like Google, Airbnb, and Spotify deploy microservices at scale.

5. Monitoring and Logging

Monitoring and logging are critical applications of DevOps, allowing organizations to track the performance and health of their software systems in real time. DevOps tools provide continuous monitoring and logging, enabling teams to detect and resolve issues quickly. With proactive monitoring, teams can prevent downtime and maintain optimal performance.

Example: Prometheus and Grafana are widely used DevOps tools for monitoring applications and visualizing metrics. These tools are instrumental in managing large-scale infrastructures and ensuring the stability of services in production.

6. Collaboration and Communication Tools

DevOps emphasizes collaboration between development, operations, and other IT teams. Through integrated communication platforms, DevOps fosters a culture of transparency and shared responsibility. Teams can work together more efficiently, solve problems faster, and implement feedback from all stakeholders during the development process.

Example: Tools like Slack, Microsoft Teams, and Jira are commonly used in DevOps environments to streamline communication, manage tasks, and provide visibility into project progress.

7. Cloud Deployment and Management

DevOps practices are highly compatible with cloud environments, making cloud-based deployment one of the most popular applications. With DevOps, organizations can automate the deployment, scaling, and management of applications in cloud platforms such as AWS, Google Cloud, and Microsoft Azure. This allows for greater flexibility, cost savings, and faster time to market.

Example: Organizations use AWS CodePipeline and Azure DevOps to automate their cloud deployments, manage resources more effectively, and scale services on-demand.

8. Security Automation (DevSecOps)

As security becomes an integral part of the development lifecycle, DevOps has evolved into DevSecOps by integrating security practices into CI/CD pipelines. This ensures that security vulnerabilities are detected and addressed early in the development process rather than being an afterthought.

Example: Tools like SonarQube and Snyk are used for static code analysis, identifying security vulnerabilities and ensuring code compliance with security standards.

9. Agile Development and Rapid Prototyping

DevOps supports Agile development methodologies by enabling rapid prototyping and iterative software development. With DevOps, teams can quickly develop, test, and deploy new features, gathering feedback and making improvements in a continuous loop. This application helps organizations adapt quickly to changing market demands and deliver high-quality products faster.

Example: Startups and tech companies adopt DevOps to develop minimum viable products (MVPs) rapidly, using tools like Git, Jenkins, and Kubernetes to build, test, and deploy applications iteratively.

10. Disaster Recovery and Fault Tolerance

DevOps also plays a crucial role in disaster recovery and fault tolerance. With automated backups, failover mechanisms, and regular testing of disaster recovery plans, DevOps ensures business continuity in case of unexpected failures. By automating recovery processes, organizations can minimize downtime and maintain high availability.

Example: Companies use DevOps tools like Ansible and Chef to automate disaster recovery processes, ensuring that backups are regularly taken and systems can be restored quickly in case of failure.

DevOps Course Certification with Training in Bangalore

Radical Technologies is the best DevOps institute in Bangalore, renowned for offering top-notch DevOps training courses tailored to meet the dynamic needs of the IT industry. As a leading DevOps training center in Bangalore, we are committed to delivering industry-relevant DevOps certification and practical knowledge through our comprehensive DevOps course syllabus. Our goal is to equip professionals and beginners alike with the skills and expertise needed to excel in the fast-growing world of DevOps.

At Radical Technologies, we provide DevOps classes in Bangalore that are designed for professionals at all levels, from those just starting their journey with our DevOps course for beginners to experienced individuals seeking advanced training. Our DevOps certification course emphasizes hands-on learning, ensuring that every student not only understands the theoretical aspects but also masters practical applications through real-world scenarios.

Our DevOps training in Bangalore covers all essential tools and methodologies, including Continuous Integration/Continuous Deployment (CI/CD), automation, monitoring, cloud integration, and containerization. Whether you’re looking to enroll in DevOps classroom training in Bangalore or prefer flexible learning, our highly experienced trainers ensure that you receive personalized attention to enhance your learning experience. We are proud to offer the best DevOps training in Bangalore, helping our students achieve the best DevOps certification that opens doors to numerous career opportunities.

Why choose Radical Technologies? We stand out as the best training institute for DevOps in Bangalore due to our unique approach, focusing on providing a well-rounded education through our DevOps complete course. Our DevOps training courses are crafted by industry experts who ensure that the DevOps course syllabus remains up-to-date with the latest trends, tools, and technologies.

For students and professionals looking for the best DevOps course in Bangalore, our institute offers a variety of DevOps courses in Bangalore tailored to different learning paths. From mastering essential concepts to achieving the best DevOps certification in Bangalore, we provide end-to-end training that ensures our graduates are well-prepared for real-world challenges. Radical Technologies has a proven track record as the best DevOps institute in Bangalore, producing highly skilled DevOps professionals ready to contribute to the evolving tech landscape.

At Radical Technologies, we take pride in being the best DevOps training center in Bangalore, where our students benefit from a curriculum that blends theory with hands-on learning. The DevOps certification for beginners is just one of the many paths we offer, helping freshers and seasoned professionals alike gain valuable expertise. Our DevOps certification training is recognized industry-wide, and with the guidance of our expert instructors, students gain the confidence needed to excel in their careers.

Join us at Radical Technologies to experience the best DevOps training in Bangalore, and embark on a journey to becoming a skilled DevOps professional. With our dedication to quality education, personalized mentoring, and real-world projects, we ensure that each student leaves with a deep understanding of the DevOps practices required to thrive in today’s competitive market.

Start your path to success with the best DevOps course in Bangalore at Radical Technologies, your gateway to a brighter, more dynamic future in DevOps.