Crash and performance monitoring
Investigate mobile crashes, API errors and slow requests in one release context. Plan useful alerts and monitoring around issues that affect real users.
How to design the workflow
Keep matching symbols or source maps to read stack traces. Redact sensitive fields before logging. Define separate alert conditions for error rates, latency and failed background jobs.
Cost and service boundaries
Log volume and retention create storage and query costs. Live metrics, crash collection and SLA services are not connected. Existing tools such as Crashlytics can remain in a hybrid setup.
Pre-launch checklist
Validate these steps in your app and with the providers you choose. Measure concurrent load alongside CPU, memory and storage before selecting a plan.
- Track releases and request IDs together.
- Remove passwords, tokens and personal data from logs.
- Test alerts with real failure scenarios.
Common questions
Is this service available today?
This page describes a service plan and architecture. Managed customer services are not enabled; publication does not activate resources or integrations.
Which plan should I consider?
Consider the resource scope of Developer. This is not a capacity guarantee; validate it against application load and external provider fees.