See when errors tend to happen
A time-based summary can reveal patterns that are hard to spot one alert at a time.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Why this helps
Error timing clues are easy to miss when you only encounter issues as separate notifications.
- Review error activity across a chosen time span.
- Notice recurring timing patterns more easily.
- Get a concise summary without rebuilding the query.
Setup
Build it in a few focused steps.
- 1Connect Bugsnag and ClickHouse to Notis once through the portal.
- 2Create an automation from the portal or by describing it to Notis conversationally.
- 3Ask Notis in one prompt to query ClickHouse for time-based patterns in Bugsnag error data and summarize notable periods.
- 4Choose a recurring schedule and the channel for run reports.
- 5Test with a representative period and confirm the time grouping answers your question.
Questions about this workflow
Can I choose the time grouping?
Describe the desired grouping and reporting period in the prompt, such as by hour or day.
Does this require a Bugsnag event trigger?
No. It runs on a Notis recurring schedule.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Bugsnag to ClickHouse. A trigger fires from one place; an action lands in another.
Bugsnag triggers
ClickHouse actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Execute ClickHouse Query
Execute a sql query in clickhouse and return the results. this is the primary action for querying data from clickhouse databases.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Get Database Schema
Get comprehensive schema overview of an entire database including all tables and optionally their column definitions. essential for ai agents to understand the complete database structure in a single call.
Get Table Schema
Get detailed schema information for a specific table including column definitions, types, keys, and optionally sample data. this is essential for ai agents to understand table structure before constructing queries.
List ClickHouse Databases
List all databases in the clickhouse instance. useful for discovering available databases before querying tables.
List ClickHouse Tables
List tables in clickhouse databases. returns information about tables including their engine, size, and row count.
Connect any two apps with Notis in the middle.
Bugsnag and ClickHouse, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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