Others Require Alert Thresholds
You have to instrument, tune thresholds for each data stream, and anticipate every failure mode worth watching. Miss one, and you're blind to it.
Herald detects potential issues, investigates them across code, infrastructure, and telemetry, and hands you the root cause — all before an alert fires or a customer complains.
HTTP 500 spike on Slack event ingestion pipeline
Outbound timeouts in slack_bolt → aiohttp auth path
2 related error signals correlated across alert pipelines
auth.test call in Slack Bolt authorize hot pathaiohttp → slack_sdk timeout patternauth.test API call timing out during authorization, causing intermittent 500s on the ingestion hot path.
Cache AuthorizeResult · configure explicit SDK timeouts
Real predictive detection on Herald production; sensitive details redacted. See more
Trusted in Production
Why observability is broken
The metric stays below the alert threshold for most of the chart, then crosses it. Marker 1 identifies the threshold crossing. The area above the threshold after that crossing is labeled no runbook coverage, and marker 2 identifies the uncovered alert territory.
You have to instrument, tune thresholds for each data stream, and anticipate every failure mode worth watching. Miss one, and you're blind to it.
You document every investigation workflow before it's needed. Maintain them as your stack evolves. When something novel breaks, there's no runbook and no investigation.
Other agents only handle failures someone already documented. Herald investigates the ones nobody saw coming. No runbook required.
THE HERALD APPROACH
Herald builds a context graph before any alerts fire — observability, codebase, CI/CD, docs, and dependencies — so it knows what normal looks like and can work to solve any problem.
context: Jira tool 65 · config read path · CUST-8291-X
No thresholds to set. Herald builds a custom anomaly detection model for each data stream and surfaces validated issues before your customers notice.
validated signal: HTTP 500s rose to 18–26% over 22 minutes while other tenants stayed flat
Never write another runbook. Herald evaluates multiple hypotheses simultaneously, each against the right data source, and delivers RCAs in minutes.
RCA: Schema Drift · legacy Vault keys rejected after PR #4275
In Production
Heralds's agent onboards and adapts quickly. Gartner's 2026 AI SRE Market Guide identifies proactive incident prevention and contextual awareness as next-generation capabilities. Herald already does both.
Herald was founded by PhDs and Professors from UC Berkeley's innovation center, RISELab, combining expertise in AI, LLMs, data systems, and scalable infrastructure.
Engineering teams are building their own AI dev tools more than ever. After comparing notes with a lot of them, here's where DIY pays off and where it doesn't.
Herald, an AI DevOps agent in the House Mates program, puts the telemetry you keep in ClickStack to work: predicting incidents, delivering root cause in minutes, and answering questions about your systems. ClickHouse customers can get up to $25,000 in free Herald usage.
93% accuracy on engineering questions. Incidents resolved in minutes. No runbooks. No RCA documents. No Slack history.