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# Why LLMs Need Observability and How to Do It


- **Event:** World Congress 2026 Europe - Virtual Stage

## Recording

[Watch recording](https://www.wearedevelopers.com/videos/2117-why-llms-need-observability-and-how-to-do-it)

## Description

Large language models are rapidly becoming core building blocks of modern applications, powering chatbots, developer tools, search, analytics, and autonomous agents. While getting a prototype running is relatively easy, operating LLM-powered systems reliably in production presents a very different challenge. These models are probabilistic, non-deterministic, and highly sensitive to inputs, context, and upstream dependencies. As a result, traditional monitoring approaches often fall short, leaving teams with limited visibility into why systems fail, degrade, or behave unexpectedly.

This session explores why large language models need observability and, more importantly, how to implement it in practice. We will start by examining the unique operational challenges of LLM-based systems, including hallucinations, prompt drift, silent quality regressions, unpredictable latency, escalating token costs, and complex multi-step inference pipelines. Unlike traditional services, failures are often subtle. The system may appear to be running, yet the output can be incorrect, misleading, or untrustworthy.

This session dives deep into LLM observability, the methods and tools needed to truly understand, monitor, and improve large language model systems in production. We will explore practical architectures and patterns for instrumenting LLM pipelines, from single-model deployments to complex agent-based and retrieval-augmented workflows.

## Speaker

### [Rahul Gupta](https://www.wearedevelopers.com/@rahul-gupta)

Lead Engineer at Beroe Inc. 


## Related talks at this congress

- [Command and Conquer: How we let an LLM control our Software](https://www.wearedevelopers.com/events/world-congress-2026-europe-virtual-stage/sessions/1515-command-and-conquer) — Simon A.T. Jiménez
- [Plan to link your LLM to your production database? What could possibly go wrong?](https://www.wearedevelopers.com/events/world-congress-2026-europe-virtual-stage/sessions/1586-plan-to-link-your) — Calvin Seward
- [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/events/world-congress-2026-europe-virtual-stage/sessions/1651-why-your-ai-agent) — Tom Kaltofen, Xiaoheng Chen
- [Easy Mode Monitoring and Logging with Shiftmon](https://www.wearedevelopers.com/events/world-congress-2026-europe-virtual-stage/sessions/1728-easy-mode-monitoring) — Mathias Palmersheim