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.

When all your IT systems, your apps and software, and your people are spread out, you need a way to see what’s happening in all these minute and separate interactions. That’s exactly what distributed tracing does. Distributed tracing is a way to tracking requests in applications and how those requests move from users and frontend devices through to backend services and databases.

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.

What are OpenTelemetry, and OpenCensus and how to migrate from OpenCensus to OpenTelemetry.

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.

What is OpenTelemetry? Simply put, OpenTelemetry is an open source observability framework. It offers vendor-agnostic or vendor-neutral APIs, software development kits (SDKs) and other tools for collecting telemetry data from cloud-native applications and their supporting infrastructure to understand their performance and health. Managing performance in today’s complex, distributed environment is extremely difficult.

Application Performance Monitoring (APM), tracing, and observability are fundamental software development and system management approaches. Each of these three concepts uniquely ensures that your applications operate, efficiently, smoothly, and reliably. Your organisation will more than likely already adopt one of these approaches, or even two, potentially all three.

For those who have limited experience with OpenTelemetry, it can be intimidating to instrument.NET applications. But the OpenTelemetry community created a welcome shortcut with the first stable release of.NET Automatic Instrumentation. It simplifies the process of collecting metrics, logs, and traces from your.NET applications, without applying any changes to the source code or adding any dependencies to the OSS project.

In the intricate web of modern software systems and full-stack observability, knowing how requests flow and interact across distributed components is paramount. Distributed tracing tools can help you. To better understand how distributed tracing works and benefits, here’s our selection of top distributed tracing tools to choose from.