How to monitor a Convex app in production
Monitor a Convex app in production: use the Health page and CLI, stream logs to Axiom or Datadog, report exceptions to Sentry, and alert on failures.
Monitoring coverage. How to find the gaps in your monitoring: which services have no alerts, which signals are missing, and what to add first to close them.
Monitoring coverage is about the gaps: the service with no alerts, the cron job nobody watches, the connection pool that fills up quietly until it doesn't. The outages that take hours to find usually hide in one of them.
These guides are for engineers running an app on a managed platform who need to know what to watch and how to wire it up. Each one takes a real stack, such as Supabase, Convex, FastAPI on Railway or Django on Render, and walks through health checks, structured logs, metrics, traces and the alerts worth having on day one. They start with the platform's own tools and show where a third-party tool adds something. You finish each guide knowing which signals you collect, which you are missing and what to add next.
How Praxen Inc. works on these platforms: Supabase, Convex, Render and Railway.
More guides
How to monitor a Django app on Render
Monitor a Django app on Render: JSON logs, a real health check, failure alerts, log and metrics streams, OpenTelemetry under Gunicorn and Celery checks.
How to monitor a Supabase app in production
Monitor a Supabase app in production: scrape the Metrics API into Prometheus, drain logs, run SQL health checks, trace requests and alert on what matters.
How to monitor a vibe-coded app in production
Monitor a vibe-coded app in production: surface swallowed errors, add a health route, tag deploys, watch cron jobs and alert on what users feel first.
How to monitor a FastAPI app on Railway: logs, traces and alerts
Set up health checks, JSON logs, OpenTelemetry traces, monitors and crash alerts for a FastAPI service on Railway, with the commands and config to copy.