Put a Bugsnag regression in context
Compare the current signal with a meaningful baseline before deciding what needs your attention.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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
A regression alert without historical context makes it harder to judge urgency and coordinate a response.
- Compare recent data with a prior time window in one run.
- Make regression reviews more evidence-based.
- Avoid manually rebuilding the same historical comparison.
Setup
Build it in a few focused steps.
- 1Connect Bugsnag and ClickHouse to Notis once through the portal.
- 2Create the automation in the portal or ask Notis to set it up conversationally.
- 3In one plain-language prompt, ask Notis to query ClickHouse for current and baseline error counts when your regression process sends a request.
- 4Choose an incoming webhook trigger and a channel for run reports.
- 5Test with a real regression example and check that both periods are represented.
Questions about this workflow
Can this determine the baseline automatically?
The prompt should specify the comparison windows and the data available in ClickHouse.
What starts the automation?
A webhook request from an external tool or your custom backend starts this Notis workflow.
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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