How to choose the right AIOps platform
Blog post from Portkey
Enterprises are increasingly integrating large language models (LLMs) into critical systems, making the need for advanced AIOps platforms essential to handle unique operational challenges. Unlike traditional infrastructure, where failures are binary, LLM systems can have invisible errors, such as incorrect outputs or missed guardrails, necessitating specialized observability and control mechanisms. Portkey's AIOps platform offers solutions tailored for LLM and AI agent workloads, featuring capabilities like unified observability, routing resilience, real-time guardrails, prompt management, and governance with cost controls. As these AI systems become more autonomous, centralized control and visibility become vital, enabling enterprises to manage production-scale operations effectively while maintaining compliance and cost efficiency. Adopting such platforms involves starting with visibility into current workflows and gradually implementing routing, safety controls, and governance policies to align with operational history and system behavior.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 14 | 5,932 | 1,046 | 223 | -2% |
| Observability | 6 | 4,496 | 812 | 176 | +40% |
| AI Agents | 4 | 4,430 | 1,100 | 236 | -3% |
| OpenTelemetry | 1 | 1,197 | 139 | 44 | +92% |
| Real-time | 1 | 6,296 | 1,346 | 246 | -2% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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