Integrating distributed tracing into an application has become one of the top initiatives of modern development teams. Here is a framework for how to think about, and evaluate, distributed tracing solutions and their key capabilities.
Exploring distributed tracing solutions to gain observability in microservices and ease in maintaining distributed apps, is a key initiative among modern R&D teams today. Microservices apps building debugging and testing in microservices architectures is taking dev teams longer due to the integration complexity.
For example, app flows pass through multiple microservices, making it harder to have control and visibility into different application components. Distributed tracing, a relatively new approach is tailored to monitoring and understanding the behavior of systems, mainly those composed of multiple microservices. related tools, OSS and solutions enable developers to track and analyze the flow context of requests across the application, identify bottlenecks in performance, and debug issues much faster.
tools differ in their features, like debugging 3rd party API calls, enabling users to access a distributed trace directly from error monitoring, or automatically generating tests based on a flow (a trace). Some capabilities are table stakes, offered in all solutions while other advanced capabilities are critical for the experience of debugging and testing distributed apps.
So, we, therefore, created a framework to help developers, DevOps teams and analysts explore distributed tracing tools before choosing and implementing one of them. Read more