Sign in Subscribe

analytics

LLM observability vs monitoring

LLM observability vs monitoring

Your team just launched a customer service AI that handles thousands of support tickets daily. Everything seems fine until you start getting reports that the AI occasionally provides customers with outdated policy information. The dashboard shows the model is running smoothly - good latency, no errors, high uptime - yet

What is LLM Observability?

Discover the essentials of LLM observability, including metrics, event tracking, logs, and tracing. Learn how tools like Portkey can enhance performance monitoring, debugging, and optimization to keep your AI models running efficiently and effectively

⭐ The Developer’s Guide to OpenTelemetry: A Real-Time Journey into Observability

⭐ The Developer’s Guide to OpenTelemetry: A Real-Time Journey into Observability

In today’s fast-paced environment, managing a distributed microservices architecture requires constant vigilance to ensure systems perform reliably at scale. As your application handles thousands of requests every second, problems are bound to arise, with one slow service potentially creating a domino effect across your infrastructure. Finding the root cause

⭐ Building Reliable LLM Apps: 5 Things To Know

In this blog post, we explore a roadmap for building reliable large language model applications. Let’s get started!