In Agile deployment, new features are incrementally rolled out to the user base, allowing for continuous feedback and adjustments throughout the development process.

Not adhering to design principles like SOLID in a large-scale project can lead to reduced code readability and maintainability. This can result in increased technical debt, making it challenging to modify, expand, or maintain the software in the long term. SOLID principles promote code quality and long-term maintainability.

Strict adherence to coding style can help in identifying syntax errors and deviations from coding standards during development. Consistent style and formatting make the code more readable and maintainable.

The Canary deployment strategy involves testing a new release on a small subset of the production environment before full deployment. It helps identify potential issues or bugs, reducing the risk to the entire system.

JUnit is a widely used testing framework for unit testing in Java applications. It provides annotations, assertions, and test runners to facilitate the testing of Java code, making it a popular choice for developers.

Code review is a common technique for requirements validation, as it involves examining the code to ensure that it aligns with the specified requirements, enhancing quality and accuracy.

Performance testing metrics can be effectively used to optimize the user experience by identifying performance bottlenecks and issues in the application, enabling targeted improvements for a smoother user experience.

Agile methodologies aim to address the SDLC limitation of Lack of feedback by promoting continuous feedback and iterative development. In traditional SDLC models like the Waterfall model, feedback is typically limited until the end, whereas Agile methods emphasize ongoing collaboration, feedback, and adaptability, resulting in more responsive development processes.

To quickly identify breaking changes in a continuous integration pipeline, integrating a Static Code Analysis tool or framework is suitable. Static code analysis tools review code without executing it, detecting potential issues, and preventing them from being introduced into the codebase.

System testing verifies that the entire system, including all integrated components, functions according to specified requirements and works as a whole.