JinaSRE

JinaSRE continuously watches an application’s runtime behavior, automatically updating instrumentation with each code change so monitoring stays aligned with the evolving codebase. It creates custom monitors from pull‑request diffs, tracking metrics such as latency, failure rates, and queue depth, and enriches logs with structured fields to aid debugging.

When an anomaly is detected, the system evaluates alerts, filters out false positives, and clusters related events into a single issue, reducing noise for the on‑call team. It learns from past incidents to adjust monitoring rules over time, providing a concise view of problems that truly require attention.

For each grouped issue, JinaSRE correlates runtime data with the codebase to pinpoint the root cause and generates a suggested remediation, often in the form of a draft pull request. The platform integrates with existing observability tools, maintains enterprise‑grade security and privacy controls, and can be deployed privately to meet compliance requirements.