DevOps Fundamentals
DevOps is a set of practices that unifies software development and IT operations to shorten delivery cycles and improve reliability. It combines cultural collaboration, automation of build-test-deploy pipelines, infrastructure as code, and continuous feedback loops.
itDevOps and software delivery | OpenSkills.info
Intro
DevOps Fundamentals
DevOps is a way to organize software work so the people who plan, build, deliver, secure, and operate a service share one system of work. The name joins development and operations, but the scope is broader. Quality, security, product, and platform concerns belong in the same feedback loop.
The useful mental model is a product team running a learning loop:
plan → change → verify → deliver → operate → observe → learn
↑ ↓
└──────────────── improve the system ──────────────┘
Tools make parts of this loop faster and repeatable. They do not create DevOps by themselves. A team can buy a pipeline platform and still keep development and operations in separate queues. A team practices DevOps when it shares responsibility, shortens feedback, automates repeatable work, and improves from operational evidence.
Why DevOps exists
Traditional handoffs divide one outcome into separate departmental goals. Developers may optimize for shipping features. Operators may optimize for avoiding change. Security may review a release near the end. Each group can succeed by its local measure while the customer waits or receives an unreliable service.
Large batches make this conflict worse. A release that combines months of changes is hard to test, diagnose, and recover. Feedback arrives after decisions have become expensive to reverse. Manual environment changes add variation that nobody can reproduce with confidence.
DevOps changes the operating model. A cross-functional team owns the service through its lifecycle. It works in small batches, keeps production inputs in version control, builds automated feedback into delivery, observes production behavior, and treats failures as information for improvement.
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Sources
- https://learn.microsoft.com/en-us/devops/what-is-devops
Supports
- DevOps definition and development, delivery, and operations lifecycle
- Cross-role collaboration, shared accountability, and continuous learning
- Version control, continuous integration, continuous delivery, and infrastructure as code overview
- https://dora.dev/capabilities/
Supports
- DevOps as a set of related cultural, process, technical, and product capabilities
- Capability-led improvement rather than tool installation alone
- Working in small batches and visibility of work in the value stream
- https://dora.dev/capabilities/generative-organizational-culture/
Supports
- High information flow, cooperation, shared risks, and cross-functional teams
- Failure leading to inquiry and bad news being surfaced without punishment
- Culture changed through working behavior rather than labels alone
- https://dora.dev/capabilities/version-control/
Supports
- Version control for application code, tests, scripts, infrastructure, and configuration
- Reviewable history, reproducibility, traceability, and recovery
- Relationship between comprehensive version control, automation, and continuous delivery
- https://dora.dev/capabilities/continuous-integration/
Supports
- Frequent integration into a shared mainline with automated build and test feedback
- Small batches, rapid feedback, and restoration of broken builds
- Continuous integration as a foundation for continuous delivery
- https://dora.dev/capabilities/continuous-delivery/
Supports
- Safe on-demand release capability and distinction from tool ownership
- Technical capabilities including testing, deployment automation, security, and observability
- Collaboration across the delivery process and limits of tooling-only change
- https://dora.dev/capabilities/monitoring-and-observability/
Supports
- Monitoring as predefined system signals and observability as interactive investigation
- Customer-facing health, shared access to evidence, and faster diagnosis
- Monitoring and observability as contributors to continuous delivery
- https://dora.dev/guides/dora-metrics/
Supports
- Current five software delivery performance metrics
- Throughput and instability groupings and metric definitions
- Service-level baselines, constraint improvement, trends, and small-change guidance
- https://csrc.nist.gov/pubs/sp/800/218/final
Supports
- Secure development practices integrated into software lifecycle models
- Security outcomes for organizational preparation, software protection, secure production, and vulnerability response
- Outcome-based, risk-informed secure development rather than a universal checklist