Jaeger: open source, end-to-end distributed tracing
Monitor and troubleshoot transactions in complex distributed systems
Why Jaeger?
As on-the-ground microservice practitioners are quickly realizing, the majority of operational problems that arise when moving to a distributed architecture are ultimately grounded in two areas: networking and observability. It is simply an orders of magnitude larger problem to network and debug a set of intertwined distributed services versus a single monolithic application.
Problems that Jaeger addresses
distributed transaction monitoring
performance and latency optimization
root cause analysis
service dependency analysis
distributed context propagation
Latest articles from our blog
Adding Tracing with Jaeger to a TypeScript express application
Adding Tracing with Jaeger to a TypeScript Express application This was originally posted on my blog: …
October 7, 2020Jaeger Turns Five: A Tribute to Project Contributors
August 3rd, 2015 was the date of the first commit in the internal Jaeger repository at Uber. Technically, the true birthday of the project was …
August 18, 2020How to maximize span ingestion while limiting writes per second to Scylla with Jaeger
Jaeger primarily supports two backends: Cassandra and Elasticsearch. Here at Grafana Labs we use Scylla, an open source Cassandra-compatible backend. …
August 5, 2020Where did all my spans go? A guide to diagnosing dropped spans in Jaeger
Nothing is more frustrating than feeling like you’ve finally found the perfect trace only to see that you’re missing critical spans. In fact, a …
August 5, 2020
Jaeger clients and W3C Trace-Context
Using Jaeger and OpenTelemetry SDKs in a mixed environment with W3C Trace-Context In this article, we are going to have a look at using Jaeger …
May 26, 2020Jaeger embraces OpenTelemetry collector
In this article we are going to explain Jaeger integration with the OpenTelemetry collector, describe differences between these two and have a look …
May 1, 2020
Generating Jaeger gRPC services and using Jaeger in JUnit with Testcontainers
In this article you will learn how to generate Jaeger model classes and gRPC services from protobuf definitions. The generated code can be used to …
April 8, 2020
Jaeger data analytics with Jupyter notebooks
In the previous blog post Data analytics with Jaeger aka traces tell us more! we have introduced our data science initiative and platform. The …
March 17, 2020
Weave trimmed troubleshooting fat, cut API response time from seconds to milliseconds with Jaeger
Weave trimmed troubleshooting fat, cut API response time from seconds to milliseconds with Jaeger When Weave added Jaeger for distributed tracing, …
February 28, 2020
T-Trace: agent-like instrumentation for GraalVM
In this article we will look at the agent-like instrumentation tool T-Trace. The tool provides non-intrusive instrumentation capabilities for …
February 24, 2020
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