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Spring Boot 3 Observability With OpenTelemetry Series (Log Monitoring)
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Overview of Observability Series So Far
In our Observability Series, we have already covered, Monitoring Metrics and Monitoring Traces with OpenTelemetry and you can refer to the respective articles with the below links.
With today’s approach, we will optimize our existing application developed with Spring Boot by Integrating with Loki, a log aggregation system inspired by Prometheus.
This integration will significantly enhance the logging capabilities of our application, enabling us to effectively manage and analyze logs, increasing visibility, and facilitating system troubleshooting.
Our Approach
In this tutorial, I’ll show you how to integrate Open Telemetry with Loki and Grafana to achieve observability via enhancing logging capabilities. To learn more about OpenTelemetry please head over to the following Link.
Grafana Loki
Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost-effective and easy to operate. It does not index the contents of the logs, but a set of labels for each log stream.
Compared to other log aggregation systems, Loki:
- No full-text indexing on logs: Loki stores compressed, unstructured logs and only indexes metadata. This makes Loki simpler to operate and cheaper to run.
- Label-based indexing and grouping: Loki Indexes and groups log streams using the same labels used with Prometheus. This enables seamless…
