Certified DevOps Solution Designer

Certified DevOps Solution Designer

₹11,990.00

CandidatureDurationProspect

Typically, candidates for DevOps Solution Architect training should have 8-12 years of professional experience. This experience could be in roles like DevOps Engineer, System Administrator, or Software Developer.

Skills and Qualities:

  • Technical Proficiency
  • Strong Communication
  • Problem Solver
  • Analytical Mindset

Why Enroll in DevOps Solution Architect Training:

  • Career Growth
  • Technical Excellence
  • Client Engagement
  • Problem Solving
  • Leadership Opportunities
  • Industry Recognition

Given a commitment of 7-8 hours per week, it would take approximately 70 days to cover the entire course content.

Considering flexibility for reviewing sessions, assignments, and assessments, you can expect to complete the DevOps Solution Architect course in about 3 months.

Total Hours: 150 hours of instruction

This is the optimal timeline, which will be needed to cover both common DevOps topics(Module 1-11) and specialized modules(Module 12-20) effectively while accommodating participant progress and practice.

Our DevOps Solution Architect course is designed for seasoned professionals with 8 to 12 years of experience, providing a unique path to prestigious roles as a DevOps Architect or Senior DevOps Consultant. This course sets you on the fast track to securing high-paying positions that demand deep technical expertise. While both the DevOps Architect and Senior DevOps Consultant roles offer lucrative career paths, the DevOps Architect course empowers you with advanced skills and in-depth knowledge that open doors to even more senior profiles. Here’s why you should consider the DevOps Architect course:

1. Mastery of Complex Architectures

2. Strategic Vision

3. Advanced Technical Presales

4. Higher Earning Potential

According to Glassdoor data, Senior DevOps Consultants in India with 8-12 years of experience can earn an average base pay of ₹31 lakhs per year. However, DevOps Architects with the same experience level command an average salary of ₹25,46,156 per year, accompanied by additional cash compensation of ₹1,60,000. The DevOps Architect course prepares you for these high-paying roles.

Join the Elite League of DevOps Architects !

 

Category:

Description

Welcome to the DevOps Solution Designer Program…

Embark on a transformative journey where you will emerge as a DevOps Solution Designer, equipped to design and deliver cutting-edge solutions that redefine the future of IT.

As a DevOps Solution Designer, you are more than a technologist; you’re a visionary. You’ll master the art of understanding complex customer challenges and translating them into elegant, scalable DevOps solutions. Your role is to bridge the gap between technical excellence and real-world business needs.

Throughout this dynamic course, you’ll dive deep into the world of containerization with LXD, Docker, and ECS. You’ll harness the power of container orchestration platforms like Kubernetes, OpenShift, and EKS. You’ll unlock the potential of Infrastructure as Code using Terraform and CloudFormation. You’ll become a virtuoso in Infrastructure Configuration Automation with Ansible, Chef, and Puppet. Git CLI, GitHub, and GitLab will be your trusted companions for Source Code Management.

But this program goes beyond technical mastery. We will nurture your ability to be a trusted advisor, helping organizations navigate the intricate path of DevOps transformation. You’ll gain expertise in presales and customer-facing roles, enabling you to guide businesses towards DevOps excellence and innovation.

Join us and become a DevOps Solution Designer – a leader, a problem solver, and a visionary. Shape the future of IT with innovation, expertise, and visionary solutions. Your journey starts here.

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Course Outline
Module 1: Foundational DevOps Concepts
  1. Introduction to DevOps Principles
  2. Significance of Collaboration in DevOps
  3. Streamlining Software Delivery Processes
Module 2: DevOps Terminology
  1. Building a Vocabulary for Effective Communication
  2. Industry-Standard DevOps Terminologies
  3. Enhancing Corporate Collaboration Through Terminology
Module 3: Datacenter Concepts
  1. Core Infrastructure Concepts
  2. Modern Data Center Architectures
  3. Bridging Traditional and Contemporary Infrastructures
Module 4: Virtualization with Virtualbox Administration
  1. Traditional Virtualization Techniques
  2. Hands-On Experience with Virtualbox Administration
  3. Resource Optimization Strategies
Module 5: Cloud Computing Concepts
  1. Fundamental Cloud Computing Concepts
  2. Comparing Cloud and Traditional Data Centers
  3. Preparing for a Cloud-Driven World

Module 6: 12 Factor App & Microservices
  1. Exploring Modern Application Design Principles
  2. Deep Dive into the 12 Factor App Methodology
  3. Mastering the Art of Microservices Architecture
Module 7: AWS Cloud Administration
  1. Understanding Cloud Environments
  2. In-Depth Focus on Amazon Web Services (AWS)
  3. Navigating the AWS Cloud Landscape
Module 8: Linux Proficiency
  1. Essential Linux User Skills
  2. Linux as the Primary Platform for DevOps Tools
  3. Maximizing Linux Proficiency for Tool Deployment
Module 9: Shell Scripting
  1. Building a Strong Foundation in Scripting
  2. Unlocking the Power of Algorithms and Coding Through Scripting
  3. Automation Techniques for DevOps Processes
Module 10: Programming Proficiency (Python & Ruby)
  1. Transitioning from Scripting to Full-Fledged Programming
  2. Harnessing the Power of Python and Ruby
  3. Leveraging Programming for DevOps Automation
Module 11: Vagrant Essentials
  1. Vagrant as the Bedrock for Automation
  2. Practical Application of DevOps Concepts with Vagrant
  3. Accelerating Software Release Cycles Through Automation
Module 12: Container Automation & Imaging(LXD, Docker, ECS)
  1. Introduction to Containerization
  2. Understanding Docker and LXD
  3. Docker Concepts and Architecture
  4. Docker Image Creation and Management
  5. Working with Docker Compose
  6. Docker Networking and Volumes
  7. Container Orchestration with Amazon ECS
  8. Comparing Containerization Solutions: Docker, LXD, and ECS
Module 13: Container Orchestration Platforms(k8s, Openshift,EKS)
  1. Exploring Kubernetes for Container Orchestration
  2. Understanding Red Hat OpenShift
  3. Amazon EKS: Managed Kubernetes Service
  4. Deploying and Scaling Applications with Kubernetes
  5. High Availability and Load Balancing with Kubernetes
  6. Market Alternatives: EKS and OpenShift
Module 14: Infrastructure Orchestration as Code(Terraform,Cloudformation)
  1. Introduction to Infrastructure as Code (IaC)
  2. Leveraging Terraform for IaC
  3. Terraform Concepts and Configuration
  4. Managing Infrastructure Resources with Terraform
  5. Terraform State Management
  6. CloudFormation: AWS Infrastructure as Code
  7. Comparing Terraform and CloudFormation
Module 15: Infrastructure Configuration Automation as Code(Ansible,Puppet,Chef)
  1. Infrastructure Configuration Automation with Ansible
  2. Ansible Concepts and Playbooks
  3. Managing Infrastructure with Ansible
  4. Puppet for Infrastructure Configuration Automation
  5. Chef for Infrastructure Configuration Automation
  6. Comparing Ansible, Puppet, and Chef
Module 16: Source Code Management(GitCLI,GitHub,GitLab)
  1. Git Version Control System
  2. Git CLI Commands and Workflows
  3. Collaborative Software Development with Git
  4. GitHub for Distributed Version Control
  5. GitLab: An Alternative to GitHub
  6. Version Control Best Practices

Module 17: Continuous Integration and Continuous Deployment (CI/CD)(Jenkins,GitHub Actions)
  1. Building CI/CD Pipelines with Jenkins
  2. Jenkins Configuration and Job Creation
  3. Implementing Automated Testing
  4. GitHub Actions for CI/CD
  5. CI/CD Best Practices
  6. Continuous Delivery Strategies
  7. Deployment Automation
Module 18: Monitoring(Nagios,Prometheus,Grafana,ELK)
  1. Monitoring Concepts and Importance
  2. Implementing Robust Monitoring with Nagios
  3. Nagios Configuration and Plugins
  4. Introduction to Prometheus and Grafana
  5. Setting Up Prometheus for Monitoring
  6. Building Dashboards and Alerts with Grafana
  7. ELK Stack for Log Management
Module 19: Function as a Service (FaaS)(Lambda)
  1. Serverless Computing Concepts
  2. AWS Lambda: Function as a Service
  3. Creating and Deploying Lambda Functions
  4. Event-Driven Architectures with FaaS
  5. Serverless Frameworks and Tools
  6. Use Cases for FaaS
Module 20: Cloud DevOps with AWS and Azure(AWS Devops,Azure Devops)
  1. AWS DevOps Services and Tools
  2. Azure DevOps Services and Tools
  3. Integrating DevOps Practices with AWS
  4. Integrating DevOps Practices with Azure
  5. Multi-Cloud DevOps Strategies
  6. Cloud DevOps Best Practices

 

 

Projects
Final Module: Real-World DevOps Projects

These projects will allow students to apply their technical and consultative skills, aligning with the role of a DevOps Solution Architect.

  1. Containerization Strategy for E-Commerce Platform:
    • Task: Design a containerization strategy using Docker and Kubernetes for an e-commerce platform.
    • Objective: Improve scalability, resilience, and resource utilization while reducing infrastructure costs.
    • Skills: Docker, Kubernetes, Scalability Planning, Cost Optimization.
  2. Infrastructure as Code (IaC) Implementation:
    • Task: Implement Infrastructure as Code using Terraform and CloudFormation for a fictional organization.
    • Objective: Automate infrastructure provisioning and ensure consistency across environments.
    • Skills: Terraform, CloudFormation, IaC Best Practices.
  3. Continuous Integration/Continuous Deployment (CI/CD) Pipeline Enhancement:
    • Task: Enhance an existing CI/CD pipeline using Jenkins, GitHub Actions, or GitLab CI.
    • Objective: Optimize the software delivery pipeline for faster, more reliable releases.
    • Skills: CI/CD Tools, Pipeline Optimization.
  4. Monitoring and Alerting Framework:
    • Task: Design and implement a comprehensive monitoring and alerting system using Nagios, Prometheus, Grafana, or ELK Stack.
    • Objective: Ensure real-time visibility into system health and rapid incident response.
    • Skills: Monitoring Tools, Dashboard Creation, Alerting.
  5. Multi-Cloud Strategy for Enterprise:
    • Task: Create a multi-cloud strategy incorporating AWS DevOps and Azure DevOps for an enterprise client.
    • Objective: Enhance flexibility, redundancy, and cost-efficiency while minimizing vendor lock-in.
    • Skills: Multi-Cloud Architecture, Cloud DevOps Tools.
  6. Serverless Application Development with AWS Lambda:
    • Task: Develop a serverless application using AWS Lambda, API Gateway, and other serverless services.
    • Objective: Implement a cost-effective and scalable solution for a specific use case.
    • Skills: AWS Lambda, Serverless Architecture.
  7. GitLab CI/CD Integration and Optimization:
    • Task: Integrate GitLab CI/CD into an organization’s development workflow and optimize it for speed and reliability.
    • Objective: Enable seamless code integration, testing, and deployment with GitLab.
    • Skills: GitLab CI/CD Configuration, Pipeline Optimization.
  8. Elasticsearch and Kibana for Log Analysis:
    • Task: Deploy and configure Elasticsearch and Kibana for log analysis and visualization.
    • Objective: Provide insights into system performance and troubleshoot issues proactively.
    • Skills: ELK Stack, Log Analysis.
  9. DevOps Consultation for a Real Client:
    • Task: We will work on a real client project, providing DevOps consultation services.
    • Objective: Apply your technical presales and customer-facing skills to address the client’s specific DevOps needs.
    • Skills: Solution Architecture, Client Communication.
  10. Architecture Proposal for a Greenfield Project:
    • Task: Create a comprehensive DevOps architecture proposal for a greenfield project.
    • Objective: Showcase your ability to design scalable, secure, and efficient solutions.
    • Skills: Solution Architecture, Proposal Writing.

 

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