Spot the noisy errors worth prioritizing
A focused volume review can help separate the errors consuming attention from the ones that can wait.
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
A flood of errors can make it difficult to distinguish a genuinely noisy issue from background activity.
- Review high-volume patterns instead of scanning every alert.
- Use a consistent view to help prioritize investigation.
- Get the result in a channel you already check.
Setup
Build it in a few focused steps.
- 1Connect Bugsnag and ClickHouse to Notis once in the portal.
- 2Create a new automation in the portal or ask Notis for it conversationally.
- 3Describe in one plain-language prompt the ClickHouse query and volume summary you want for Bugsnag-related errors.
- 4Pick a recurring schedule and a channel for run reports.
- 5Test with a real interval and verify the returned ranking reflects your priorities.
Questions about this workflow
Can I define what counts as noisy?
Describe your preferred threshold or ranking criteria in the automation prompt and make sure the corresponding data is available.
Will this run after every individual error?
This example is scheduled to provide a periodic review. A webhook can start a run when your external system sends a request.
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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