About the course

Description:

A "Live DevOps Project Experience" refers to hands-on experience gained while working on real-time, production-level DevOps projects. These projects focus on automating the software development lifecycle (SDLC), improving collaboration between development and operations teams, and ensuring the efficient delivery of software and services.

1. CI/CD Pipeline Implementation:

• Continuous Integration (CI): Setting up automated build and testing processes for code changes. Developers can commit code to a shared repository, and the CI system (e.g., Jenkins, GitLab CI, or CircleCI) automatically runs tests, builds the application, and notifies developers of any issues.
• Continuous Delivery (CD): Automating the deployment of software into production or staging environments. Tools like Jenkins, GitLab CI, Azure DevOps, or AWS CodePipeline may be used to create pipelines that automatically deploy applications with each successful build or commit.

2. Infrastructure as Code (IaC):

• Provisioning Infrastructure with IaC: Writing scripts and configuration files to automatically provision and manage infrastructure. Tools like Terraform, CloudFormation, and Ansible are commonly used to automate the setup and maintenance of cloud and on-prem environments.

3. Containerization and Orchestration:

• Docker Containers: Creating containerized applications using Docker. Docker images encapsulate all the dependencies, making the applications portable and consistent across different environments.
• Kubernetes (K8s) Orchestration: Managing the deployment, scaling, and operation of containerized applications using Kubernetes. Setting up Kubernetes clusters, creating and managing Pods, Services, Deployments, and ConfigMaps, and ensuring efficient scaling and fault tolerance for production applications.
• Helm for Kubernetes: Using Helm charts to manage Kubernetes applications, making it easier to deploy, upgrade, and configure applications in the Kubernetes ecosystem.

4. Monitoring and Logging:

• Application Performance Monitoring (APM): Setting up monitoring solutions like Prometheus, Grafana, Datadog, or New Relic to track application performance, resource utilization, and overall system health in real time.
• Log Aggregation and Analysis: Implementing centralized logging solutions using tools like ELK Stack (Elasticsearch, Logstash, Kibana), Fluentd, or Splunk to aggregate logs from multiple services for easy searching, filtering, and troubleshooting.

5. Automation and Scripting:

• Automating Routine Tasks: Writing scripts in languages like Bash, Python, or Groovy to automate repetitive tasks, such as environment setup, deployments, and monitoring.

6. Cloud Infrastructure Management:

• Cloud Platform Management: Configuring and managing infrastructure on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), including managing resources like EC2 instances, RDS databases, load balancers, and VPCs.

7. Security and Compliance:

• Security Automation: Ensuring security is embedded in the DevOps pipeline, including automated security checks, vulnerability scanning, and policy enforcement. Tools like SonarQube might be used to scan containers and code for vulnerabilities.

8. Collaboration and Version Control:

• Version Control with Git: Managing codebase versions and configurations using version control tools such as Git and hosting platforms like GitHub, GitLab, or Bitbucket to ensure smooth collaboration between development and operations teams.
• Pull Requests and Code Reviews: Enforcing best practices by ensuring code changes go through automated CI checks and peer code reviews via pull requests (PRs), using platforms like GitHub or GitLab.

Key Skills & Tools:

• CI/CD Tools: Jenkins, GitLab CI, Azure DevOps.
• Containerization: Docker, Kubernetes, Helm.
• Cloud Platforms: AWS, Azure, GCP.
• Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible.
• Monitoring & Logging: Prometheus, Grafana, Datadog, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk.
• Version Control: Git, GitHub, GitLab, Bitbucket.
• Security Tools: SonarQube.
• Automation & Scripting: Python, Bash, Groovy.