DevOps breaks down silos between development and operations teams, emphasizing automation, collaboration, and continuous improvement throughout the software lifecycle.
Why it matters
- Organizations practicing DevOps deploy code 200x more frequently.
- Faster time-to-market for features and fixes.
- Reduced failure rates and faster recovery from incidents.
- Better collaboration leads to higher quality software.
- Automation reduces human error and improves consistency.
Core practices
- Continuous Integration (CI): Automatically build and test code with every change.
- Continuous Delivery (CD): Automate deployment so releases are push-button.
- Infrastructure as Code (IaC): Manage infrastructure through version-controlled code.
- Monitoring and Logging: Comprehensive observability into systems.
- Configuration Management: Consistent, automated system configuration.
DevOps toolchain
- Source control: Git, GitHub, GitLab, Bitbucket.
- CI/CD: Jenkins, GitHub Actions, GitLab CI, CircleCI.
- IaC: Terraform, Pulumi, CloudFormation, Ansible.
- Containers: Docker, Kubernetes, containerd.
- Monitoring: Prometheus, Grafana, Datadog, New Relic.
DevSecOps extension Security should be integrated throughout the DevOps pipeline:
- Static analysis (SAST) in CI pipelines.
- Dependency scanning for vulnerable libraries.
- Container image scanning before deployment.
- Dynamic testing (DAST) in staging environments.
- Runtime protection and monitoring in production.
Cultural principles
- Blame-free post-mortems focused on learning.
- Shared responsibility for reliability and security.
- Experimentation and calculated risk-taking.
- Continuous learning and improvement.
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View all termsAPI (Application Programming Interface)
A set of rules and protocols that allows different software applications to communicate and exchange data.
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A time-based job scheduling syntax using five or six fields to specify when tasks should run.
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A computational method for comparing two sets of data and identifying differences between them.
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An operational framework that uses Git repositories as the single source of truth for declarative infrastructure and application configurations.
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A lightweight data interchange format using human-readable text to represent structured data.
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A lightweight markup language that uses plain text formatting to create structured documents.
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