The DevOps Foundation Learning Path provides a comprehensive introduction to DevOps principles, tools, and best practices. This course covers essential topics such as version control, CI/CD pipelines, Infrastructure as Code (IaC), containerization, monitoring, and automation. Participants will learn how to integrate security into DevOps workflows, leverage cloud platforms, and explore key DevOps tools. Through hands-on projects and real-world scenarios, learners will build and deploy full DevOps solutions, gaining practical experience in collaboration, automation, and system reliability. This foundation course is ideal for professionals looking to develop a strong DevOps skillset and transition into DevOps roles.
Explore the evolution of DevOps, its core concepts, and how it differs from traditional IT operations.
Understand the day-to-day functions of a DevOps engineer and the value they bring to a development team.
Learn basic Git operations, branching strategies, and collaboration workflows.
Overview of tools such as GitHub, GitLab, and Bitbucket to facilitate team collaboration.
Grasp the principles behind continuous integration and continuous deployment.
Hands-on with popular tools (e.g., Jenkins, GitLab CI, Travis CI) to set up and manage simple pipelines.
Understand the integration of automated tests into the CI/CD process for quality assurance.
Learn the benefits of treating infrastructure as code.
Practical introduction to tools like Terraform and Ansible for automated provisioning.
Best practices for writing, versioning, and reusing infrastructure code.
Understand Docker fundamentals including image creation, container management, and networking.
Compare traditional virtualization to container-based approaches and their roles in DevOps.
Learn the importance of system monitoring, key metrics, and setting up alerts.
Introduction to logging best practices and the use of tools like ELK Stack or Splunk.
Understand how to collect and analyze logs, metrics, and traces for system insights.
Gain proficiency in Bash and Python scripting for automating routine tasks.
Explore how automation streamlines deployment and operational processes.
Case studies on automating repetitive tasks and improving overall efficiency.
Learn the basics of integrating security practices within DevOps workflows.
Understand secure coding practices and basic tools for automated vulnerability detection.
Overview of managing sensitive data, setting the stage for more advanced topics.
Cover the basic concepts of IaaS, PaaS, and SaaS.
Overview of cloud services from AWS, Azure, and GCP and how they fit into DevOps.
Familiarize with cloud-native services that support DevOps practices.
Explore the broader DevOps toolchain including orchestration, configuration management, and automation.
Discussion on how to choose tools that fit the organizational context and maintain best practices.
Gain hands-on experience with core DevOps concepts by building CI/CD pipelines, deploying infrastructure using Terraform, and containerizing applications with Docker through practical projects.
Create and manage repositories on GitHub or GitLab
Practice branching and merging strategies (feature branch workflow).
Configure Jenkins or GitLab CI to automate the build, test, and deployment phases.
Implement automated unit and integration tests within pipelines.
Deploy web application artifacts to a staging environment automatically.
Write scripts to provision cloud resources such as VMs, load balancers, storage, and networks.
Automate configuration and deployment of applications onto provisioned infrastructure.
Organize code into reusable modules and maintain clear versioning in Git repositories.
Basic setup using Prometheus or cloud-native monitoring to verify deployments.
Create Dockerfiles for microservices and build container images.
Push images to a container registry (Docker Hub, AWS ECR, or similar).
Deploy and manage containers using Kubernetes.
Implement scaling, rolling updates, and health checks.
Configure internal communication between microservices using Kubernetes service discovery mechanisms.
Deploy ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk for centralized logging.
Use Prometheus to capture real-time metrics from deployed applications.
Create visual dashboards with Grafana to visualize health and performance metrics.
Simulate service outages and resource bottlenecks to test alerting mechanisms and incident responses.
Integrate static code analysis (SonarQube, OWASP Dependency Check) and vulnerability scanning (Trivy, Snyk) in the CI/CD pipeline.
Implement automated checks enforcing secure coding standards.
Use HashiCorp Vault to securely store and manage secrets (API keys, passwords).
Include automated security tests using OWASP ZAP or Burp Suite within CI/CD.
Form teams to manage different aspects (development, CI/CD, security, monitoring) using GitHub or GitLab.
Combine CI/CD, infrastructure automation, container orchestration, monitoring, logging, observability, and security practices into a unified pipeline.
Deploy a cloud-native application on AWS, Azure, or GCP.
Ensure the solution supports auto-scaling, high availability, and robust security.
Create comprehensive documentation and detailed project reports.
Present the project, highlighting challenges faced, solutions applied, and measurable outcomes (performance, security, reliability).