What a modern LLMOps stack looks like in 2025
Blog post from Portkey
In 2025, managing Large Language Models (LLMs) in production involves ensuring their consistent, safe, and scalable operation, beyond merely making them work. As AI-native applications transition from prototypes to production, traditional MLOps frameworks fall short, necessitating a modern LLMOps stack that addresses unique challenges such as model orchestration, prompt lifecycle management, observability, cost optimization, guardrails, and environment management. Portkey emerges as a comprehensive solution, offering an integrated platform that centralizes these critical components to streamline operations, enhance security, and control costs. By providing features like traffic routing across providers, prompt versioning, and real-time cost tracking, Portkey enables AI teams to efficiently manage and optimize their LLM workflows, focusing on building impactful AI applications rather than grappling with disparate tools and infrastructure issues.
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