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.

Distributed tracing enhances observability by providing detailed insights into the performance, behavior, and dependencies of your distributed system. It empowers you to proactively identify and resolve issues, optimize performance, and deliver a reliable and high-performing application.

Data Centralization emerges as a necessity in the cloud world now that data is omnipresent. Gone are the days when different teams had to rely on document sharing and wait till the data gets to them. With AIOps, data can be centralized and teams can have access to it in near real-time. This is a great opportunity for organizations to take advantage of the latest technology and leverage its power to solve their problems efficiently.

The popularity of open-source log management tools has been on a steady rise in recent years. As businesses become increasingly reliant on software applications and cloud-based services, logging has become an essential part of operations. Log management is a crucial process for organizations to collect, store, and analyze log data. Businesses can troubleshoot problems, identify security threats, and optimize system performance by effectively managing log data.