Query-Level Health Checks
GraphQL API Monitoring
GraphQL hides failures behind HTTP 200. upti.my executes real queries and validates your resolvers actually return the data your app expects.
Why GraphQL Needs Different Monitoring
GraphQL APIs always return HTTP 200, even when things are broken. A failing resolver returns { errors: [...] }, not a 500 status code. HTTP monitoring sees success while your users see errors.
Error Field Detection
Parse GraphQL errors from response body.
Nested Validation
Check deeply nested response fields exist.
Schema Monitoring
Detect breaking schema changes via introspection.
Real Queries
Execute actual GraphQL queries, not just ping.
GraphQL Failures HTTP Monitoring Misses
Every one of these returns HTTP 200 but breaks your app:
- ✗Resolver throws exception and returns { data: null, errors: [...] }
- ✗N+1 query timeout where nested resolvers time out under load
- ✗Schema deployed without data source so new field returns null
- ✗Auth resolver broken causing protected queries fail silently
How upti.my Monitors GraphQL
upti.my understands GraphQL. We execute real queries and validate the response structure and data:
Query Execution
Run your actual GraphQL queries as health checks.
Error Detection
Alert when errors array is present in response.
Data Assertions
Validate specific fields in the data response.
Variables Support
Pass variables to parameterize queries.
Getting Started
Set up GraphQL monitoring in the dashboard:
- 1
Create a GraphQL Monitor
Select GraphQL as your monitor type and enter your GraphQL endpoint URL.
- 2
Write Your Query
Add the GraphQL query or mutation you want to run as a health check. Include variables if needed.
- 3
Add Authentication
Configure Bearer tokens or API keys in the headers. Credentials stay encrypted.
- 4
Define Data Assertions
Check for no errors in response, validate specific data fields exist, and set latency limits.
Frequently Asked Questions
GraphQL always returns HTTP 200, even for errors. upti.my parses the GraphQL response, checks for errors in the response body, and validates the data field matches your expectations.
Yes. You can execute mutations as health checks, useful for testing write paths. Just be careful to use test data or idempotent operations to avoid side effects.
upti.my can run introspection queries and alert when the schema changes. This catches accidental breaking changes before they hit production.
upti.my supports all common GraphQL auth patterns: Bearer tokens in headers, API keys, and custom headers. Credentials are encrypted and never exposed in logs.
Yes. Use path expressions to validate deeply nested fields. Check that user.posts[0].title exists, or that data.products has more than 0 items.
Related Topics
Run reliability as one connected workflow
Detect failures early, route alerts clearly, coordinate incidents, and keep status updates in sync from one system.