Intended Audience

This guide is intended for technical professionals involved in the deployment and operation of the mlangles mlops platform, including but not limited to:

• DevOps Engineers – Responsible for provisioning infrastructure, deploying services, and ensuring high availability.
• Machine Learning Engineers – Integrating models into the platform and managing ML workflows.
• Data Engineers – Preparing, processing, and managing the data pipelines feeding into the platform.
• System Administrators – Overseeing system health, monitoring performance, and managing configurations.
• Solution Architects – Designing platform architecture to meet organizational and project-specific requirements.

While a basic understanding of microservices, container orchestration (e.g., Docker), and networking is assumed, the guide provides step-by-step instructions so that even first-time users can follow along without extensive prior experience in mlops deployment.