Health Monitoring & Observability
Once your Mubarokah ID integrated application is deployed to production, continuous health monitoring and observability are crucial for ensuring its reliability, performance, and for quickly diagnosing issues.Health Check Endpoints
Implement health check endpoints in your application that can be used by load balancers, orchestration platforms (like Kubernetes), or uptime monitoring services.- Purpose: To indicate whether your application instance is running correctly and able to serve requests, including its ability to interact with critical downstream services if necessary (though this needs careful consideration).
- Basic Health Check:
- Responds with HTTP 200 OK if the application is running.
- Example path:
/health,/status.
- Deep Health Check (Optional & Use with Caution):
- May check connectivity to essential services like your database, cache (Redis), or even make a lightweight test call to a Mubarokah ID status endpoint (if available and permitted).
- Caution: Deep checks that call external services can be problematic if those services are temporarily down, causing your app instances to appear unhealthy and be restarted or removed from service unnecessarily. Itβs often better to have separate monitoring for downstream dependencies.
Comprehensive Monitoring Setup
Beyond simple uptime checks, implement comprehensive monitoring to gain insights into your applicationβs performance, error rates, and resource usage, especially concerning Mubarokah ID interactions.Key Metrics to Monitor:
1. OAuth Flow Metrics:- Authorization Request Rate: Number of redirects to Mubarokah IDβs
/oauth/authorize. - Callback Success/Failure Rate: Success and error rates for your
/auth/mubarokah/callbackendpoint.- Distinguish errors (e.g.,
invalid_state,access_deniedfrom user, Mubarokah ID errors).
- Distinguish errors (e.g.,
- Token Exchange Success/Failure Rate: Success and error rates for calls to Mubarokah IDβs
/oauth/tokenendpoint.- Track specific errors like
invalid_grant,invalid_client.
- Track specific errors like
- Token Refresh Success/Failure Rate: Monitor how often refresh token attempts succeed or fail.
- Latency:
- Duration of your callback processing.
- Latency of token exchange calls to Mubarokah ID.
- Latency of token refresh calls.
2. API Interaction Metrics (calls from your server to Mubarokah ID's /api/* endpoints):
- Request Rate: Number of calls to
/api/user,/api/user/details, etc. - Success/Error Rate: HTTP status codes (2xx vs. 4xx/5xx) from these API calls.
- Specifically track
401 Unauthorized(token issues) and403 Forbidden(scope issues).
- Specifically track
- Latency: Response times for these API calls.
- Overall application request throughput, latency, and error rates.
- CPU, memory, disk I/O, network I/O utilization of your servers.
- Database performance (query latency, connection pool usage).
- Cache performance (hit/miss rates, latency).
- Successful user logins via Mubarokah ID over time.
- Time taken for a user to complete the entire login flow.
Tools for Monitoring:
- Application Performance Monitoring (APM): Sentry, New Relic, Datadog, Dynatrace. These often provide SDKs to automatically instrument your code.
- Metrics Collection & Visualization:
- Prometheus: An open-source metrics collection and alerting toolkit.
- Grafana: An open-source platform for monitoring and observability, often used with Prometheus, InfluxDB, or other data sources to create dashboards.
- Log Management: Elasticsearch/OpenSearch + Kibana/OpenSearch Dashboards (ELK/OpenSearch Stack), Splunk, Logtail, Datadog Logs.
Conceptual Metrics Middleware
This illustrates how you might collect metrics using middleware.Example Grafana Dashboard Panels (Conceptual)
If using Prometheus and Grafana, you might create dashboards with panels like:- OAuth Request Rate:
sum(rate(oauth_requests_total{job="your-app", route=~"mubarokah.*"}[5m])) by (route) - OAuth Callback Error Rate:
sum(rate(oauth_requests_total{job="your-app", route="mubarokah.callback", status_code=~"4.*|5.*"}[5m])) / sum(rate(oauth_requests_total{job="your-app", route="mubarokah.callback"}[5m])) * 100 - Token Exchange Latency (p95):
histogram_quantile(0.95, sum(rate(http_request_duration_ms_bucket{job="your-app", route="mubarokah_token_exchange_internal_call"}[5m])) by (le))(Assuming you instrument the call to the token endpoint). - API Call Latency to Mubarokah ID (p95): Similar histogram for calls to
/api/user. - Active User Sessions via Mubarokah ID: A custom metric your app might expose.
Alerting
Set up alerts based on your key metrics to be notified of issues proactively:- High error rates for OAuth callbacks or token exchanges.
- Significant increase in latency for Mubarokah ID API calls.
- Mubarokah ID client errors (e.g.,
invalid_clientif it suddenly starts appearing). - Health check failures.
- High resource utilization on your servers.