OpenTelemetry | 리소스 센터

Every level of the application stack emits logs, metrics, traces, and events. Collecting all these signals is the first step in having an observable system. See how Open Telemetry makes this possible.

We are living in a data world. Data describes and controls almost every aspect of our life, from the president's elections to everyday grocery shopping. Data grows exponentially and so does the complexity of applications that manage that data.

Technology environments are rapidly evolving as organizations look to remain competitive, accelerate innovation and make themselves more agile. But in the process, many of the observers, i.e., stakeholders who track infrastructure and application metrics, are falling behind, unable to monitor and manage modern, cloud-native apps and multi-cloud environments due to the complexity that comes with them.

In today's digital transformation journey, observability has emerged as the hot topic. The ability to capture, analyze and correlate all of your machine data is critical to ensure you can meet your reliability objectives. Every level of the application stack emits logs, metrics, traces, and events. The collection of all of these signals is the first step of having an observable system.

At the recent Illuminate conference, Dave Sudia from GoSpotCheck shared the process that led them to choosing Sumo Logic for their observability needs.

The OpenTelemetry Collector is a new, vendor-agnostic agent that can receive and send metrics and traces of many formats. It is a powerful tool in a cloud-native observability stack, especially when you have apps using multiple distributed tracing formats, like Zipkin and Jaeger; or, you want to send data to multiple backends like an in-house solution and a vendor. This article will walk you through configuring and deploying the OpenTelemetry Collector for such scenarios.