Data Science Course in Ameerpet.

Devops

DevOps is a methodology that focuses on the rapid, incremental, and continuous delivery of products.

The term DevOps merges “development” and “operations,” representing the collaboration between these teams. It is more than just a process—it’s a culture and set of principles that enable organizations to streamline workflows, enhance efficiency, and accelerate product delivery.

12503 Studentes Joined
  • 22-03-2025
  • 10:00 AM
Data Science Course in Ameerpet.

What is SDLC Life Cycle?

The Software Development Life Cycle (SDLC) is a structured methodology that outlines a series of well-defined processes for building high-quality software. It consists of several key phases, including:

  • Requirement Analysis : Identifying and understanding project needs
  • Requirement Analysis : Defining scope, resources, and timelines
  • Software Design : Creating architectural and technical designs
  • Development : Writing and implementing the code
  • Testing : Ensuring functionality, security, and performance
  • Deployment : Releasing the software for use

This article will explore how SDLC works, break down each phase in detail, and provide practical examples for better understanding.

Key Highlights

Cloud Expertise

Deep dive into AWS & Azure services like EC2, RDS, S3, VPC, Azure VMs, and more.

Comprehensive DevOps Tools

Hands-on training with Git, Ansible, Jenkins, Terraform, Docker, Kubernetes, and Prometheus.

End-to-End Automation

Learn CI/CD pipelines, containerization, infrastructure as code, and configuration management.

Hands-On Labs

Deploy cloud resources, configure networks, and implement disaster recovery solutions.

Scalable Cloud Practices

Master auto-scaling, load balancing, and high-availability architectures.

Skills Covered

  • Cloud Infrastructure Management (AWS & Azure VMs, VPC, RDS)
  • Automation & Orchestration (Terraform, Ansible, Kubernetes)
  • CI/CD Pipelines (Jenkins, GitHub Actions, Docker)
  • Networking & Storage (Load Balancers, Route 53, S3, Azure Blob)
  • Monitoring & Security (Prometheus, CloudWatch, Azure Security Center)

Prerequisites

Basic Programming Knowledge

(Python, Bash, or any scripting language)

Linux Basics

(Command-line familiarity)

Git & Version Control

(Basic experience is a plus)

Cloud Basics

(Understanding of cloud environments)

Networking Fundamentals

(IP, DNS, firewalls)

Eligibility

Freshers or Experienced IT professionals

non-technical professionals transitioning into DevOps & Cloud

Software Developers, System Admins, Network Engineers

Anyone preparing for AWS & Azure certification

Course Curriculum

Introduction to DevOps & Cloud Computing

  • What is DevOps and why it matters
  • DevOps culture, principles, and best practices
  • Introduction to Cloud Computing
  • AWS vs. Azure: Key services and differences
  • Cloud deployment models (Public, Private, Hybrid)
  • IaaS, PaaS, SaaS explained

AWS Cloud Services

  • Compute: Amazon EC2, Load Balancers, Auto Scaling
  • Networking: VPC, Route 53, Security Groups, VPNs
  • Storage & Databases: S3, EBS, RDS, Elasticache
  • IAM & Security: Role-based access control, CloudWatch monitoring

Microsoft Azure Services

  • Azure Virtual Machines and Scale Sets
  • Azure Networking: VNets, Subnets, NSGs, Load Balancers
  • Azure Storage: Blob Storage, File Sync, Backup & Recovery
  • Identity & Security: Azure Active Directory (AD), MFA, Key Vault
  • Azure Kubernetes Service (AKS) for containerized applications

DevOps Tools & Practices Version Control & Collaboration

  • Git & GitHub: Branching, Merging, Pull Requests
  • GitOps: Using Git for infrastructure automation

CI/CD Pipelines & Automation

  • Jenkins: Pipeline setup, Declarative & Scripted Pipelines
  • GitHub Actions & Azure DevOps Pipelines
  • Terraform & Infrastructure as Code (IaC)

Configuration Management & Orchestration

  • Ansible: Playbooks, Roles, Automation scripts
  • Terraform: Resource provisioning in AWS & Azure
  • Kubernetes (K8s): Deploying & managing containers

Monitoring & Security

  • Prometheus & Grafana: Cloud & container monitoring
  • AWS CloudWatch & Azure Monitor
  • SonarQube & Nexus for code quality & artifact management

Testimonials

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Robert Lane
Designer

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Thomas Lopez
Designer

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Amber Page
Designer

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Ray Sanchez
Designer

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