loading . . . Demystifying OpenTelemetry: Why You Shouldn’t Fear Observability in Traditional Environments For decades, traditional technology environments, ranging from on-premises data centers to legacy applications and industrial control systems, have powered the core of many organizations. These systems are battle-tested and deeply woven into business operations, but they also present unique challenges when it comes to modernizing IT practices, especially observability.
Challenges of implementing observability in traditional environments:
Noisy, unstructured logs make it hard to extract meaningful information. Siloed monitoring data across different tools or systems leads to fragmented visibility. Limited instrumentation in legacy apps and systems hinders collection of modern metrics and traces. Teams are often concerned about the potential performance impact from adding new observability tooling. Bridging legacy protocols or hardware with modern platforms can be difficult to integrate. To make this practical, let’s follow a fictional manufacturing company with a busy production line. Here, a fleet of robotic arms equipped with sensors reports operational data via MQTT to a central broker. A legacy application logs production events and errors to disk, while a collection of SQL Servers and Windows machines support production, analytics, and inventory. Sound familiar? This is the reality for many organizations trying to bridge the old and new worlds. http://dlvr.it/TQLSfs
