brave - Java distributed tracing implementation compatible with Zipkin backend services.

•    Java

Java implementation of Dapper (http://research.google.com/pubs/pub36356.html) compatible with Zipkin (https://github.com/twitter/zipkin/).

Stagemonitor - Application performance monitoring for java server applications

•    Java

Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. It supports Real Time Metrics, Call tree of the current request including SQL statements to identify the bottlenecks of a request, Execution time and count of database interactions, Analyze the HTTP headers and lot more.

incubator-zipkin-brave - Java distributed tracing implementation compatible with Zipkin backend services

•    Java

Java distributed tracing implementation compatible with Zipkin backend services.

Zipkin - Distributed tracing system

•    Java

Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed.

Zipkin - Distributed Tracing System

•    Java

Zipkin is a distributed tracing system that helps us gather timing data for all the disparate services at Twitter. It manages both the collection and lookup of this data through a Collector and a Query service.

spring-cloud-sleuth - Distributed tracing for spring cloud

•    Java

Spring Cloud Sleuth

node-continuation-local-storage - implementation of https://github.com/joyent/node/issues/5243

•    Javascript

Continuation-local storage works like thread-local storage in threaded programming, but is based on chains of Node-style callbacks instead of threads. The standard Node convention of functions calling functions is very similar to something called "continuation-passing style" in functional programming, and the name comes from the way this module allows you to set and get values that are scoped to the lifetime of these chains of function calls. When you set values in continuation-local storage, those values are accessible until all functions called from the original function – synchronously or asynchronously – have finished executing. This includes callbacks passed to process.nextTick and the timer functions (setImmediate, setTimeout, and setInterval), as well as callbacks passed to asynchronous functions that call native functions (such as those exported from the fs, dns, zlib and crypto modules).

erlyberly - erlang tracing for the masses

•    Java

erlyberly is looking for contributors, especially if you would like to code java. Have a look at the issues or ping me at https://twitter.com/erlyberlytips. erlyberly is a debugger for erlang, elixir and LFE using erlang tracing. It is probably the easiest and quickest way to start debugging your nodes.

openmessaging-java - OpenMessaging Runtime Interface for Java

•    Java

openmessaging specification for java

bpftrace - High-level tracing language for Linux eBPF

•    C++

BPFtrace is a high-level tracing language for Linux enhanced Berkeley Packet Filter (eBPF) available in recent Linux kernels (4.x). BPFtrace uses LLVM as a backend to compile scripts to BPF-bytecode and makes use of BCC for interacting with the Linux BPF system, as well as existing Linux tracing capabilities: kernel dynamic tracing (kprobes), user-level dynamic tracing (uprobes), and tracepoints. The BPFtrace language is inspired by awk and C, and predecessor tracers such as DTrace and SystemTap. BPFtrace was created by Alastair Robertson. To learn more about BPFtrace, see the Reference Guide and One-Liner Tutorial.

Jaeger - Distributed Tracing System from Uber

•    Go

Jaeger is Uber's distributed tracing system, used to monitor, profile, and troubleshoot microservices. It is compatible with OpenTracing and it is built in the style of Google’s Dapper.

jstrace - Dynamic tracing for javascript, in javascript (similar dtrace, ktap etc)

•    Javascript

Dynamic tracing for JavaScript, written in JavaScript, providing you insight into your live nodejs applications, at the process, machine, or cluster level.Similar to systems like dtrace or ktap, the goal of dynamic tracing is to enable a rich set of debugging information in live processes, often in production in order to help discover the root of an issue. These libraries have very minimal overhead when disabled, and may be enabled externally when needed.

eliot - Eliot: the logging system that tells you *why* it happened

•    Python

Most logging systems tell you what happened in your application, whereas eliot also tells you why it happened. eliot is a Python logging system that outputs causal chains of actions: actions can spawn other actions, and eventually they either succeed or fail. The resulting logs tell you the story of what your software did: what happened, and what caused it.

zipkin-go-opentracing - OpenTracing Tracer implementation for Zipkin v1 in Go

•    Go

OpenTracing Tracer implementation for Zipkin in Go. This package is a low level tracing "driver" to allow OpenTracing API consumers to use Zipkin as their tracing backend. For details on how to work with spans and traces we suggest looking at the documentation and README from the OpenTracing API.

opencensus-java - A stats collection and distributed tracing framework

•    Java

OpenCensus is a toolkit for collecting application performance and behavior data. It currently includes 3 apis: stats, tracing and tags. The library is in Beta stage and APIs are expected to be mostly stable. The library is expected to move to GA stage after v1.0.0 major release.

Hypertrace - Distributed tracing & Observability platform

•    Java

Hypertrace is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace provides observability into your application architecture. It includes global, service and backend dashboards, allowing teams fast insight into service level objectives.

OpenTelemetry makes robust, portable telemetry a built-in feature of cloud-native software

•    Java

OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

NTrace - High Performance Tracing for .NET Applications

NTrace is a library that provides flexible, high-performance, and zero-config trace logging for your C# applications. NTrace is currently 100% C#.

SvcPerf - E2E ETW trace analysis tool

End-to-End ETW trace viewer for manifest based traces.

Essential Diagnostics

Using and extending System.Diagnostics trace logging. This project uses the inbuilt features of the System.Diagnostics namespace, and shows how logging and tracing can be integrated into a client application whilst taking advantage of the services exposed by System.Diagnostics.