Logs Are All You Need: Rethinking Observability with AI Agents

About this episode

Sherwood Callaway discusses the future of observability with AI agents and the potential of using logs alone for monitoring.

Sherwood Callaway is the founder of Sazabi (YC P26), the AI-native observability platform built for engineering teams who ship fast. He previously founded and exited a YC company — now he's back, betting that logs are all you need to replace Datadog. Logs Are All You Need: Rethinking Observability with AI Agents // MLOps Podcast #381 with Sherwood Callaway, the Founder of Sazabi 🔑 What's covered: 🪵 Logs vs. The Three Pillars — Sherwood makes the case that the traditional observability stack (metrics, logs, traces) is overkill. In 2026, with AI agents in the loop, logs alone are sufficient — and dramatically simpler to instrument. 🚨 AI-Generated Alerts, Not AI-Evaluated Alerts — Instead of using AI to triage your noisy alert stream, Sazabi generates the alerts autonomously from your logs and codebase — so you never configure a monitor again. 🤖 Agent Sandboxing & Bash Access — How Sazabi gives its AI agent a persistent bash sandbox with CLI tool access, why every other action routes through that sandbox, and how RLS database permissions keep the agent from doing damage. 🧠 Agentic Memory via Git — Sazabi's novel approach to persisting agent memory across threads using Git…

People in this episode

Host: Demetrios

Guest: Sherwood Callaway

Topics covered

• observability
• AI agents
• logs
• alerts
• engineering teams
• production issues

Keywords

• observability
• AI
• logs
• alerts
• engineering
• Sazabi
• Datadog
• monitoring

Mentioned in this episode

Organizations: Sazabi, Datadog, YC

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