Implementing guardrails around containerized large language models (LLMs) on Kubernetes is crucial for ensuring security and compliance. This involves setting resource limits, using namespaces for isolation, and implementing access controls to mitigate risks associated with running LLMs in a production environment. Properly configured guardrails can help organizations leverage the power of LLMs while maintaining operational integrity.

Orkes enables organizations to transform their workflows into agentic experiences, integrating advanced technologies like LLMs and vector databases to enhance decision-making and operational efficiency. With robust security, compliance features, and a focus on developer agility, Orkes supports a wide range of applications from customer support automation to real-time data analysis. Users have reported significant improvements in productivity and reliability by migrating workflows to Orkes Cloud.