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title: Introducing Observability Agent: Gets you from symptom...
description: SingleStore launched an Observability Agent that lets users ask plain-language questions about workspace health and get answers grounded in their own...
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# Introducing Observability Agent: Gets you from symptom to cause in minutes

**[SingleStore](https://daily.dev/sources/singlestore)** · 9 min read · 1 upvotes · 0 comments

## Summary

SingleStore launched an Observability Agent that lets users ask plain-language questions about workspace health and get answers grounded in their own monitoring data, tracing through cluster metrics, workload history, and logs. The agent diagnoses but does not take action, and operates within existing Helios role-based access control. A real production incident walkthrough shows the agent tracing a memory-limit error to a specific retrying Looker report query in about two minutes, versus the one to three hours such an investigation normally takes by hand. A support agent that acts on findings, plus MCP server access, are planned next.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.singlestore.com/blog/introducing-observability-agent-gets-you-from-symptom-to-cause-in-minutes>

## Questions this post answers

### What is SingleStore's Observability Agent and what does it do?

It is an AI agent that lets users ask about the health of a SingleStore workspace in plain language and get answers grounded in actual monitoring data. It reads cluster metrics, workload history, and logs, follows evidence across signals, and explains a root cause with the supporting data shown, but it only diagnoses and never changes data, config, or infrastructure.

_Anyone debugging database incidents can compare agent-based diagnosis approaches like this on daily.dev._

### How long did it take to diagnose a SingleStore memory-limit error using the Observability Agent versus manual investigation?

The agent traced a production memory-limit error to its root cause in around two minutes, compared to an estimated one to three hours for a human to manually correlate cluster charts, historical workload monitoring, trace logs, and a SHOW STATUS EXTENDED allocator breakdown. It found that two failing report-query variants were being retried repeatedly, sustaining the memory pressure themselves.

_Teams weighing manual versus AI-assisted incident diagnosis can track examples like this on daily.dev._

### Does SingleStore's Observability Agent have permission to change database configuration or scale infrastructure?

No, it only diagnoses and explains, it does not act on the workspace. It cannot change data, alter configuration, resize infrastructure, or stop a workload, and every request runs under the same Helios role-based access control already assigned to the user, so it can only read data and investigate workspaces the user is already entitled to access.

_Developers evaluating AI agent permission boundaries in production systems can follow this on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#database](https://daily.dev/tags/database), [#observability](https://daily.dev/tags/observability), [#singlestore](https://daily.dev/tags/singlestore)

[View this post on daily.dev](https://daily.dev/posts/introducing-observability-agent-gets-you-from-symptom-to-cause-in-minutes-qmy3okehm)

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