Learn how the integration of Open Platform for Enterprise AI (OPEA) and Kubernetes* can accomplish scaling dynamically, taking advantage of the retrieval augmented generation (RAG) pipeline. OPEA streamlines complex deployments, simplifies management tasks, and adjusts scaling to meet the pipeline's activity levels.

The session also covers the basics of Kubernetes, including pods, services, and deployments, as well as advanced features, such as self-healing and autoscaling. Pulling examples from the OPEA library on GitHub*, this session demonstrates real-world applications and strategies for improving development. In this intermediate-level workshop, developers gain the skills and expertise to design and deploy AI-driven applications efficiently in a production environment.

The topics include:

• Deploy and manage AI apps efficiently using Kubernetes to improve scalability and resilience.
• Use OPEA with Kubernetes to simplify AI deployments and minimize complexity.
• Take advantage of the advanced features of Kubernetes to implement auto-scaling and self-healing.
• Deploy optimized RAG pipelines within a Kubernetes environment.
• Learn real-world strategies from the OPEA library on GitHub.