CI/CD Interview Questions Flashcards
What are some common CI/CD issues? #5
Slow Build TImes
Limited Test Coverage
Inconsistent Environments
Integration Issues
Lack Of Visibility
Slow build times: caused by factors like large code bases, inefficient build scripts, or slow testing frameworks. Solutions include: #3
Breaking the build into smaller stages
Optimizing build scripts
Use the Parallel testing framework.
Limited test coverage: occurs when tests are not properly written or comprehensive enough. Solutions include: #2
Writing more tests
Using code coverage tools,
Inconsistent environments are caused when the dev, staging, and prod environments are not synced properly. Solutions include: #3
Infrastructure-as-code tools
Containerization
Configuration management tools to ensure consistency.
Integration issues occur when there are issues with integrating different system components. Solutions include: #2
Using API testing tools
Service virtualization.
API testing tools can be used to validate that different
components of the system are communicating correctly.
Contract testing can be used to ensure that APIs are
compatible and meet the required specifications
Service virtualization can be used to simulate the behavior of components that are not yet available, which can help to
identify and address integration issues before they become critical.
Lack of visibility: occurs when there is not enough information available about the state of the system or the progress of the build. Solutions include:
Solutions include using
Monitoring tools
Logging tools
Dashboarding tools to get more visibility.
Can you walk me through the components of a typical code release pipeline?
A typical code release pipeline consists of several stages, including building, testing, staging, deploying, and monitoring.
Stages of CI/CD
The first stage involves building the code into a
deployable artifact, such as a JAR file or a Docker image.
The second stage involves running various types of tests on the artifact, such as
unit tests, integration tests, and functional tests.
The third stage involves deploying the artifact to a
staging environment for further testing and validation.
The fourth stage involves deploying the artifact to
production, which may involve rolling updates or blue-green deployments.
The fifth stage involves monitoring the production system for
issues and collecting metrics for analysis.