Your AI agents are generating a ton of operational data.
This is a dev post classified by Jev as Databases (a launch), kept by the Dev Radar because it carries real work, not commentary.
Your AI agents are generating a ton of operational data. Prompts. Tool calls. Latency. Tokens. Errors. Retries. Cost. Outcomes. The hard part is turning all of that into something you can actually monitor. In our upcoming workshop with @TigerDatabase, we’ll show how to build an agent monitoring system on Postgres + time-series data, then scale it for teams running hundreds or thousands of agents. If AI agents are moving into production, this is the infrastructure layer you’ll need. Join us → https://luma.com/j1s2bxf9
Posted by AlphaSignal (16.7k followers) 55 min ago · 0 likes · 142 views · view the original post on X. Kept by the Dev Radar as Databases.
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