Technology Computer science DevOps and Continuous Integration (CI) are practices in software development that emphasize collaboration between development and operations teams to shorten the development lifecycle and deliver high-quality software faster. DevOps integrates cultural philosophies, practices, and tools to automate processes, while Continuous Integration focuses on the frequent merging of code changes into a shared repository, allowing for immediate testing and feedback. This combination fosters an environment of rapid development, increasing efficiency and reliability by catching issues early, facilitating automated testing, and maintaining a consistent deployment process.
DevOps Definition and Overview Cultural Philosophy Collaboration between Development and Operations Cross-functional Teams Shared Responsibilities and Accountability Breaking down silos Unified Tools and Processes Cross-Departmental Training and Workshops Emphasis on communication and integration Regular Stand-ups and Communication Channels Integrating Feedback Loops Practices Agile Methodologies Scrum and Kanban Integration Iterative Development and Continuous Feedback Lean Principles Eliminating Waste and Improving Efficiency Value Stream Mapping Continuous Improvement (Kaizen) Infrastructure as Code (IaC) Tools and Technologies Terraform State Management Module Reusability AWS CloudFormation Template Structure Stack Management Environment Consistency and Reproducibility Version Control for Infrastructure Configuration Management Tools and Technologies Ansible Playbook Automation Role and Inventory Management Puppet Puppet DSL and Manifests Modules and Puppet Forge Chef Cookbooks and Recipes Chef Server and Workstation SaltStack State Management Remote Execution Modules Configuration Drift Detection Desired State Configuration Continuous Delivery (CD) Deployment Automation Scripted and Declarative Pipelines Rollback Strategies and Resilience Testing Canary Releases Traffic Shifting and User Segments Safety Nets and Monitoring Blue-Green Deployments Parallel Environments Load Balancer Configurations Continuous Monitoring and Feedback Application Performance Monitoring (APM) Real-time Metrics and Alerting Synthetic and Real User Monitoring (RUM) Log Management Centralized Logging and Analysis Log Aggregation and Visualization Incident Detection and Response Security in DevOps (DevSecOps) Shift-left Security Early Security Testing in Development Workflow Security as Code Security Automation Automated Vulnerability Scanning Threat Modeling and Risk Management Compliance as Code Policy Definition and Enforcement Auditing and Reporting Automation Tools and Technologies Version Control Systems Git Branching and Merging Pull Requests and Code Reviews Subversion (SVN) Directory-based Versioning Branching and Tagging Structure CI/CD Tools Jenkins Pipeline Creation and Management Plugin Ecosystem and Customizations Travis CI GitHub Integration Configuration via .travis.yml CircleCI Workflows and Orbs Caching and Parallelism GitLab CI/CD Built-in within GitLab Runners and Multi-project Pipelines Bamboo Plan and Deployment Projects Integrations and Dependencies Management Containerization and Orchestration Docker Dockerfile Standards and Best Practices Image Management and Registries Kubernetes Cluster Management and Scaling Pods, Services, and Deployments OpenShift Developer Portals and Self-service Deployment Integrated CI/CD and Monitoring Docker Swarm Service Definition and Scheduling Networking and Load Balancing Cloud Platforms AWS EC2, S3, and Lambda Services AWS CLI and SDK Integration Azure Virtual Machines and App Services Azure DevOps Services Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) Cloud Functions and App Engine Collaboration and Communication ChatOps Automation via Chat Interfaces Incident Response and Management Tools like Slack, Microsoft Teams Integration with Build and Deployment Notifications Channel Organizing and Access Control