CI/CD Services

DevOps leverages CI/CD practices to empower the development team with swift testing and deployment of applications. In the Continuous Integration phase, new code is seamlessly integrated multiple times through an automated pipeline, providing immediate feedback. Continuous Delivery, an extension of CI, ensures the introduction of new features, bug fixes, and updates with meticulous bug safety checks to guarantee a reliable release process.

Our CI/CD Approach

CI/CD (Continuous Integration/Continuous Delivery) is aim to automate and streamline the software development and delivery processes. Our CI/CD pipeline approach,

AI/ML approaches in CI/CD pipelines

A tailored AI/ML approach in CI/CD pipeline involves configure and arrange workflows in data science, scientific computing and machine learning.

Establish dedicated environments with version control integration like Git LFS (Large File Storage) for managing large datasets and model.

Automation of code quality checks, linting and syntax validation for AI/ML code with model evaluation. Implement distributed tracing to visualize end-to-end AI/ML workflows

Model training pipelines with frameworks like TensorFlow Extended (TFX), Kubeflow Pipelines to automate end-to-end machine learning workflows.