Creating a virtual environment before starting a Django project is important to isolate project dependencies, avoid version conflicts, and ensure that the project runs with the specific packages and versions it needs without affecting the global Python environment.
Some popular websites built on Django include:
1. Instagram
2. Pinterest
3. Disqus
4. Mozilla
5. The Washington Post
6. Bitbucket
7. Eventbrite
8. National Geographic
In Python, every new name introduced has its place where it lives and can be hooked. It is called a namespace. It is like a box where a variable name is graphed to the object placed. Whenever the variable is searched out in the bar, this box will be searched, to get the related object. Name space in Python is the frequently asked question in Python interview.
Functional dependency is a relationship between attributes in a database table where one attribute uniquely determines another. It is crucial for database table design as it helps in organizing data efficiently, ensuring data integrity, and minimizing redundancy by guiding the normalization process.
A procedure is a set of SQL statements that perform a specific task and can return multiple values or no value, while a function is a set of SQL statements that perform a specific task and must return a single value. Functions can be used in SQL expressions, whereas procedures cannot.
I have used Jenkins, GitLab CI, GitHub Actions, and Azure DevOps for CI/CD.
CI/CD stands for Continuous Integration and Continuous Delivery/Deployment. CI is the practice of automatically integrating code changes into a shared repository frequently, while CD automates the process of delivering that code to production, ensuring that software can be released reliably and quickly.
Canary deployment is a strategy where a new version of software is released to a small group of users first, allowing for monitoring and testing before it is rolled out to the entire user base.
Blue-green deployment is a strategy that uses two identical environments, called blue and green. One environment (e.g., blue) is live and serving users, while the other (e.g., green) is updated with the new version of the application. After testing and verification, the traffic is switched from the blue environment to the green environment, making it live. This allows for minimal downtime and easy rollback if needed.
To secure a CI/CD pipeline, implement the following measures:
1. **Access Control**: Use role-based access control (RBAC) to restrict permissions.
2. **Secrets Management**: Store sensitive information like API keys and passwords securely using secret management tools.
3. **Code Scanning**: Integrate static and dynamic code analysis tools to identify vulnerabilities.
4. **Dependency Management**: Regularly update and scan dependencies for known vulnerabilities.
5. **Environment Isolation**: Use separate environments for development, testing, and production.
6. **Audit Logs**: Enable logging and monitoring to track changes and access to the pipeline.
7. **Secure Communication**: Use HTTPS and secure protocols for data transmission.
8. **Automated Testing**: Implement automated tests to catch security issues early in the pipeline.
9. **Container Security**: If using containers, ensure images are scanned and use minimal base images.
10. **Regular Updates**: Keep CI/CD tools and infrastructure up to
