Master DevOps

Learn the best practices for DevOps and master tools and techniques to improve software delivery and infrastructure automation. This Master DevOps course will help you master the skills required to become a proficient DevOps engineer. You will gain hands-on experience with tools like Docker, Kubernetes, Jenkins, Terraform, AWS, and much more.

Why Enroll in This Course?

Automate Everything

Learn how to automate the entire software delivery pipeline and infrastructure management.

Master Cloud Platforms

Gain expertise in using cloud computing services in AWS.

Learn Popular DevOps Tools

Get hands-on experience with the tools that are industry standards for DevOps teams, including Jenkins, Terraform, and Docker.

Tools Covered

Docker

Docker

Terraform

Terraform

Kubernetes

Kubernetes

AWS

AWS

Jenkins

Jenkins

Git

Git

Ansible

Ansible

GitLab CI/CD

GitLab CI/CD

Nginx

Nginx

Grafana

Grafana

Prometheus

Prometheus

Elasticsearch

Elasticsearch

Helm

Helm

Puppet

Puppet

Azure DevOps

Azure DevOps

Chef

Chef

Travis CI

Travis CI

Consul

Consul

HashiCorp Vault

HashiCorp Vault

Splunk

Splunk

Course Curriculum

  • Overview of DevOps methodology
  • Setting up a DevOps environment
  • Collaboration and communication in DevOps
  • Understanding DevOps culture and principles
  • Agile and DevOps synergy

  • Setting up Git
  • Working with Git repositories
  • Collaboration using GitHub
  • Git branching strategies
  • Handling merge conflicts

  • Setting up Jenkins
  • Building automated pipelines
  • Deploying applications using CI/CD
  • Working with GitLab CI/CD pipelines
  • Continuous Testing and Automated Deployments
  • Pipeline as Code with YAML

  • Overview of Configuration Management tools
  • Introduction to Ansible, Chef, and Puppet
  • Automating server configuration
  • Versioning and managing configurations
  • Creating roles and playbooks with Ansible
  • Managing infrastructure with Puppet

  • Overview of IaC principles
  • Writing Infrastructure as Code with Terraform
  • Managing infrastructure with AWS CloudFormation
  • Versioning Infrastructure with Git
  • Creating reusable modules in Terraform
  • CloudFormation stack management

  • Introduction to Docker
  • Creating and managing Docker containers
  • Building Docker images with Dockerfile
  • Using Docker Compose for multi-container applications
  • Container security best practices
  • Dockerizing microservices

  • Introduction to Kubernetes (K8s)
  • Setting up a Kubernetes cluster
  • Deploying applications on Kubernetes
  • Managing Kubernetes Pods, Deployments, and Services
  • Scaling and auto-scaling in Kubernetes
  • Helm Charts for Kubernetes deployments
  • Service meshes with Istio

  • Overview of cloud computing models
  • Working with AWS, Microsoft Azure, and Google Cloud Platform (GCP)
  • Introduction to Infrastructure as a Service (IaaS)
  • Setting up and managing virtual machines in the cloud
  • Cloud networking basics
  • Cloud storage solutions

  • Introduction to Prometheus and Grafana for monitoring
  • Setting up ELK/EFK stack for logging (Elasticsearch, Logstash/Fluentd, Kibana)
  • Cloud monitoring tools (AWS CloudWatch, Azure Monitor)
  • Setting up alerts and dashboards
  • Log aggregation and analysis

  • Overview of Virtual Private Networks (VPNs)
  • Load Balancers and High Availability
  • DNS and CDN Basics
  • Network security best practices

  • Overview of DevSecOps principles
  • Secure CI/CD pipelines
  • Vulnerability scanning (Snyk, OWASP ZAP)
  • Compliance as code
  • Implementing security policies and audits

  • Introduction to serverless computing
  • AWS Lambda, Azure Functions, and Google Cloud Functions
  • Building and deploying serverless applications
  • Event-driven architecture with serverless

  • Overview of release strategies
  • Blue-Green Deployment
  • Canary Deployment
  • Rolling Updates

  • Horizontal and vertical scaling
  • Auto-scaling groups in cloud platforms
  • Fault-tolerance and disaster recovery
  • Load balancing and traffic management

  • Using JFrog Artifactory
  • Managing repositories with Nexus
  • Storing and distributing Docker images in Docker Hub

  • Managing hybrid and multi-cloud environments
  • Integrating services across different clouds (AWS, Azure, GCP)
  • Handling cloud migrations

  • Introduction to SRE principles
  • Service-Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
  • Incident response and root cause analysis
  • Reliability metrics and performance monitoring

  • Using Jenkins for pipeline automation
  • Integrating GitLab CI/CD for DevOps
  • Working with AWS CodePipeline and Azure DevOps
  • Automating testing, deployment, and monitoring

  • Chaos Engineering
  • FinOps for DevOps
  • Artificial Intelligence and Machine Learning in DevOps

  • End-to-End DevOps Workflow Deployment
  • Real-world project challenges and solutions
  • Hands-on final project with mentoring and support

Ready to Master DevOps?

Join our Master DevOps course and take your career to the next level with hands-on skills and in-depth knowledge of industry-leading tools and practices.

Join the Course