Our CEO, Greg Godbout, published an article about DevSecOps, DataOps, and MLOps.
DevSecOps, DataOps, and MLOps are methodologies extending DevOps principles like automation, collaboration, and continuous integration to specific domains: security, data management, and machine learning. DevSecOps integrates security into development, DataOps focuses on improving data analytics processes, and MLOps manages machine learning model deployment. While each has distinct goals, they share a foundation of DevOps principles, emphasizing lifecycle management and the enhancement of delivery pipelines across their respective areas. These practices often overlap to create secure, efficient, and robust systems in modern organizations.
For more details, you can visit the original article here.
