Lack of built-in monitoring and observability

Failure to monitor systems can lead to unplanned downtime, degraded user experience, and increased operational costs.

While Sentry's performance monitoring excels for frontend applications (Web Vitals, page load times, component rendering), it's less comprehensive for backend-heavy architectures. Distributed tracing works well for simple request flows, but complex microservices architectures with message queues, event buses, and asynchronous processing create gaps in trace continuity. During our testing with a Python microservices backend, traces often broke at queue boundaries (Redis/Celery in our case).

Another common challenge in Redis deployment is the lack of proper monitoring and alerting mechanisms. Without adequate monitoring, it can be difficult to identify performance issues or potential failures before they impact the application.