real time error monitoring — 3 ways to implement in 2026

Real-time error monitoring involves capturing, storing, and querying application errors as they occur to detect issues before users report them, alert engineers swiftly, and provide a queryable error history to improve incident response times. Various solutions cater to different needs based on error volume, audience, and infrastructure capabilities. Sentry, often paired with the ELK stack, is suitable for developer-facing error tracking with moderate volumes, offering features like stack traces and issue grouping. ClickHouse® combined with Grafana is ideal for high-volume error analytics, providing low-latency queries over raw error streams, although it requires more infrastructure management. Tinybird offers an API-first approach, leveraging its Events API for minimal infrastructure overhead while enabling the same error data to be accessible for both monitoring and product-facing features via REST APIs. Each option provides unique benefits and trade-offs, such as operational complexity, support for custom SQL queries, and the ability to embed analytics in product interfaces, allowing teams to choose based on their specific needs and resources.

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