Rapid debugging with distributed tracing
Connect all your context within one tracing view for faster, clearer insights.
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See how it works
Watch a demo or try it for yourself in our sandbox—no registration required.
Why choose Honeycomb Distributed Tracing?
Why choose Honeycomb Distributed Tracing?
Find the trace you need
Filter by any field, or click on any spot in any graph, to get to the associated trace. Get directly to the trace that actually matters, quickly.
Delve into the details
Look under the hood of any trace span. See every field and every log statement, and better understand the interconnections between services. Zoom in for details, zoom out for the big picture.
Minimize single points of failure
Let your software teach you how it works. From experts to new team members, everyone can learn from what really happens in production.
Every field is a custom metric
Query and graph over anything in your trace spans. How many calls are made to this database, and which request URL triggered them? Filter on error message and region, then find the customer IDs seeing the highest latency.
Honeycomb’s distributed tracing has massive advantages over metrics and other monitoring tools. The transactions are encoded with deep information resulting in multiple visualizations that you can seamlessly switch between to get alternative perspectives on the problem and hone in on the patterns.
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Kesha Mykhailov
Senior Product Engineer, Intercom
Dive deeper
Learn more about the power and possibilities of Honeycomb.
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Tracing the Line: Understanding Logs vs. Traces
In the software space, we spend a lot of time defining the terminology that describes our roles, implementations, and ways of working. These terms help us share fundamental concepts that improve our software and let us better manage our software solutions. To optimize your software solutions and help you implement system observability, this blog post will share the key differences between two important terms: traces and logs.
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3 Easy Ways to Get Started With Distributed Tracing
We’re here to show you three ways you can jumpstart a distributed tracing effort, starting small and expanding as it makes sense. These examples involve only a little code and perhaps a bit of a mindset change. Starting small with distributed tracing can even be fun, because who doesn’t like getting customized results without much work?
Give it a try in our sandbox
See how Honeycomb distributed tracing gives you fast, actionable answers about end user experience.
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