Imagine you start a new hobby — let’s say bike riding. You don’t want to invest a lot in a bike because you’re not sure that you’ll like it. Luckily, you snag a free bike from a friend — it’s clunky, but the price is right. You start out with short rides around your neighborhood and eventually find yourself riding every day, going on longer and longer rides. Your free, heavy bike is holding you back.

According to the Uptime Institute’s 2022 Outage Analysis report, one out of every five companies has experienced a “serious” or “severe” incident over the past three years—a percentage that’s increasing. Those incidents are expensive: over 60% cost more than $100,000, while 15% set their companies back close to $1 million.

Application Programming Interface, or API, is an important element to consider when you design an online product or platform. Well-designed API is equivalent to a well-designed user interface for enterprise customers. When you implement an intuitive and easy-to-use interface, your product can retain and attract more users.

In the previous article, we talked about Distributed Tracing with MuleSoft APIs using OpenTelemetry. In this post, we’ll go through the process of integrating Distributed Tracing with MuleSoft APIs using OpenTelemetry via a proxy server. The purpose of this article is to demonstrate how we can instrument a legacy mule app with open telemetry without making changes to the existing app. Here, we’re showing an example of getting data from a header as well as a query parameter.

Learn about website performance monitoring, why you need it, and how to set up automated transaction testing using Kentik’s network observability platform in this step-by-step tutorial. You can even follow along using the free trial version of Kentik.

Grafana Labs has always been actively involved in the OpenTelemetry community, even working with the predecessor projects OpenTracing and OpenCensus. We have been supporting OTLP as the primary input protocol for our distributed tracing project, Grafana Tempo, since its inception, and our Grafana Agent embeds parts of the OpenTelemetry Collector.

In today’s rapidly evolving digital landscape, organizations heavily rely on their applications and systems to deliver optimal performance. As such, driving down the key metric of Mean Time to Resolution (MTTR) is clearly one of the biggest challenges facing observability practitioners today.