Explores social coding principles that bring open-source collaboration into enterprise environments. Covers the benefits of public repositories, code reuse, and pair programming practices that improve code quality and facilitate knowledge sharing between team members.
Outlines best practices for organizing Git repositories and implementing the Feature Branch Workflow. Covers guidelines for creating modular repositories using short-lived feature branches, and leveraging pull requests for collaborative code reviews to enhance code quality.
Explores the concept of working in small batches and single piece flow in DevOps. Discusses how these Lean Manufacturing principles enable faster feedback loops, minimize waste, and support continuous integration and delivery practices for more efficient software development.
Explains the concept of Minimum Viable Product (MVP) as a tool for learning and experimentation. Covers how MVPs help test hypotheses with minimal effort gather customer feedback, and enable iterative development to deliver products that truly meet customer needs.
Explains Test-Driven Development (TDD) as a software development approach where tests drive code design. Covers the Red-Green-Refactor workflow benefits including higher code quality and faster development, and the crucial role TDD plays in enabling effective CI/CD pipelines in DevOps environments.
Explains Behavior-Driven Development (BDD) as an approach focusing on system behavior from the user's perspective. Covers the BDD workflow, Gherkin syntax for defining acceptance criteria, and how this methodology improves communication between technical and non-technical stakeholders while enabling automated testing.
Explores cloud native microservices architecture and its impact on modern application design. Covers stateless services, independent scalability resilience, and compares microservices with traditional monolithic architectures to highlight benefits in flexibility, scalability, and collaboration.
This document explains why failures happen in cloud-native applications, how to design systems that recover quickly, and how to use strategies like retry circuit breaker, bulkhead, and chaos engineering to build systems that can handle failures gracefully.
A collection of multiple-choice questions covering Module 2 topics including social coding, repository guidelines, small batch processing, MVP, test-driven development, behavior-driven development, microservices, and design for failure concepts.