The latest News and Information on Distributed Tracing and related technologies.
Open Telemetry (OTel) is an open source observability framework that has garnered significant attention for its powerful capabilities in monitoring metrics, logs and traces.. It is second only to Kubernetes in the CNCF velocity chart with contributions being made from major players in the cloud industry, and has a growing community helping build out a thriving ecosystem.
The Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics) offers the freedom and flexibility for monitoring application performance. But we’ve also heard from many of our users and customers that you need a solution that makes it easier and faster to get started with application monitoring.
An Essential Guide to OpenTelemetry In today’s expeditious, highly distributed software landscape, achieving true observability is no simple task. As you strive to understand how your applications and services perform and behave, you face multiple challenges. Moreover, you need to instrument applications and services that generate data effectively, have a reliable means to transmit it, and, most importantly, find a way to visualize and derive insights from it.
In telemetry jargon, a pipeline is a directed acyclic graph (DAG) of nodes that carry emitted signals from an application to a backend. In an OpenTelemetry Collector, a pipeline is a set of receivers that collect signals, runs them through processors, and then emits them through configured exporters. This blog post hopes to simplify both types of pipelines by using an OpenTelemetry extension called the Headers Setter.
