Distributed tracing provides a detailed view into application performance. Each trace shows you how an individual request was executed in your app: which user did what, which services were involved, how long it took, and whether the request executed successfully. Capturing that level of detail across hundreds or thousands of services provides a vast trove of information for troubleshooting and performance optimization, but it’s not always easy to find the exact trace events you need.

You’ve delivered your product, application, or website. You’re seeing some traffic and even some conversions. But something is holding you back. Could it be speed? In today’s world of limited patience and shortened attention spans, you have to make sure that you’re giving your customers the enjoyable experience they need to stick around.

In today’s digital economy, speed is everything. Especially for applications and websites accessed by end users, when there is slowness, it will have a direct detrimental impact on business productivity, profits and even the brand itself. If an ecommerce application loads slowly or experiences errors, it will translate into loss of business, and the customer might end up switching to another website – possibly your competitor.

Apache SkyWalking provides a very powerful and lightweight backends. In here, I am going to introduce why we design it in these ways and how does it work.

In many big systems, distributed and especially microservice architectures become more and more popular. With the increase of modules and services, one incoming request could cross dozens of service. How to pinpoint the issues of the online system, and the bottleneck of the whole distributed system? This became a very important problem, which must be resolved.