What is Continuous Integration/Continuous Deployment (CI/CD)
The practice of automatically checking, building, and deploying changes to code, data, or models.
Definition
Continuous Integration/Continuous Deployment (CI/CD) is the practice of automatically testing, building, and deploying changes to code, data, or models. Simply put, this concept helps build reliable services around models: data, compute, access, deployment and monitoring. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
After changing the model, the system itself runs tests, checks metrics and prepares a safe deployment.
Why it matters
CI/CD helps release AI products faster, but requires quality control and rollback of failed versions. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Typically, the process starts with data sources and the environment, then sets up calculations, access, automation, monitoring, and security rules. In the case of the term “Continuous Integration and Delivery (CI/CD)”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- It is found in projects where data storage, computing, integration, deployment, security and stable operation of AI services are important.
Limitations
Limitations are related to computational cost, security, data quality, latency, service availability, and maintenance complexity.