Summary

In this chapter, we covered the essential fundamentals of the CI/CD pipeline and production environment. We did some hands-on implementation to set up the production infrastructure and then set up processes in the production environment of the pipeline for production deployments. We tested the production-ready pipeline to test its robustness. To take things to the next level, we fully automated the CI/CD pipeline using various triggers. Lastly, we looked at release management practices and capabilities and discussed the need to continuous monitor the ML system. A key takeaway is that the pipeline is the product, not the model. It is better to focus on building a robust and efficient pipeline more than building the best model.

In the next chapter, we will explore the MLOps workflow monitoring module and learn more about the game-changing explainable monitoring framework.