The latest News and Information on Distributed Tracing and related technologies.
Recently, OpenTelemetry has been announced as a new CNCF sandbox project resulting from a merger of OpenTracing and OpenCensus [1], [2], [3], [4]. Several people have already asked me what OpenTelemetry means for the Jaeger project (incubating at CNCF), and whether it is going to replace Jaeger. I will attempt to answer these questions in this post.
Microservices and containers multiplied the complexity of Ticketmaster’s software system. Its engineers solved their debugging problems with Jaeger, an open-source tracing tool from Uber incubating at CNCF.
This post illustrates some practical examples of distributed context propagation. More detailed examples are presented in Chapter 10 of my book, Mastering Distributed Tracing.
Recently, Toshok was telling a story about the kind of thing he talks about a lot—improving the performance of some endpoint or page or other. Obviously, we spend a lot of time thinking about how to improve the experience of our users, but what caught my attention this time was that what he was describing sounded like a new kind of testing in production—so I asked him to go into a bit more detail.
In this article we will demonstrate some of the tracing features of the MicroProfile-OpenTracing project while evaluating performance of new Java runtime Quarkus. You will also learn how a Java application can be compiled to native code for supersonic performance!
The performance of any application is measured by its availability and responsiveness. When an application is slow, IT operations staff must troubleshoot the cause of slowness, identify it and resolve it. While application performance problems may be caused by issues in the supporting infrastructure, often the issues are related to the application components themselves.
Jaeger was built from day 1 to be able to ingest huge amounts of data in a resilient way. To better utilize resources that might cause delays, such as storage or network communications, Jaeger buffers and batches data. When more spans are generated than Jaeger is able to safely process, spans might get dropped. However, the defaults might not fit all scenarios: for instance, agents running as a sidecar might have more memory constraints than agents running as a daemon in bare metal.
A few weeks ago, BubbleUp came out of Beta. We’ve been getting fantastic user feedback on how BubbleUp helps users speed through the Core Analysis Loop and lets people find things they never could have found before. We’ve also been learning more about how BubbleUp works with Tracing, which unearthed some difficult issues. Today, we’re taking those head on.
