Fabian Stäber

OpenTelemetry is a collection of standards and tools to make it easy to get metrics, distributed traces, and logs out of applications. For example, OpenTelemetry's Java agent will instrument Java applications out-of-the-box, with no code change required.

This talk shows how to use these signals for application monitoring. We will introduce Grafana's open source databases: Loki for logs, Tempo for traces, and Mimir for metrics. And we will show how to use Grafana to explore the telemetry data for an example application running on Kubernetes.

Grafana and Prometheus metrics have been popular among platform engineers for monitoring Kubernetes clusters for a long time.

This talk will show how application developers can benefit from Grafana as well, using open standards like OpenTelemetry, and open source monitoring backends like Loki, Tempo, and Mimir.

Prometheus is often associated with modern architectures, cloud-native applications, and dynamic container platforms. While new applications can be designed to integrate well with cloud infrastructure and monitoring, most organisations also have to operate legacy applications that do not fit well into these environments.

This talk shows how to monitor legacy Java applications with Prometheus. The goal is to have Prometheus as a central monitoring tool that integrates both, modern cloud-native applications as well as legacy Java EE applications.

As part of a log file monitoring tool, I implemented a file tailer that keeps reading new lines from log files. This turned out to be much more challenging than I thought, especially because it should run on multiple operating systems and it should be robust against logrotate. In this 20 Minutes talk I will present the lessons learned, the pitfalls and dead-ends I ran into.

The monitoring tool is https://github.com/fstab/grok_exporter

Slides: https://goo.gl/9ABX2R (docs.google.com)