sourcegraph.com/sourcegraph/appdash
Package appdash provides a Go app performance tracing suite. Appdash allows you to trace the end-to-end performance of hierarchically structured applications. You can, for example, measure the time and see the detailed information of each HTTP request and SQL query made by an entire distributed web application. The cmd/appdash tool launches a web front-end which displays a web UI for viewing collected app traces. It is effectively a remote collector which your application can connect and send events to. Timing and application-specific metadata information can be viewed in a nice timeline view for each span (e.g. HTTP request) and it's children. The web front-end can also be embedded in your own Go HTTP server by utilizing the traceapp sub-package, which is effectively what cmd/appdash serves internally. Sub-packages for HTTP and SQL event tracing are provided for use with appdash, which allows it to function equivalently to Google's Dapper and Twitter's Zipkin performance tracing suites. The most high-level structure is a Trace, which represents the performance of an application from start to finish (in an HTTP application, for example, the loading of a web page). A Trace is a tree structure that is made up of several spans, which are just IDs (in an HTTP application, these ID's are passed through the stack via a few special headers). Each span ID has a set of Events that directly correspond to it inside a Collector. These events can be any combination of message, log, time-span, or time-stamped events (the cmd/appdash web UI displays these events as appropriate). Inside your application, a Recorder is used to send events to a Collector, which can be a remote HTTP(S) collector, a local in-memory or persistent collector, etc. Additionally, you can implement the Collector interface yourself and store events however you like.
Readme
Appdash is an application tracing system for Go, based on Google's Dapper and Twitter's Zipkin.
Appdash allows you to trace the end-to-end handling of requests and operations in your application (for perf and debugging). It displays timings and application-specific metadata for each step, and it displays a tree and timeline for each request and its children.
To use appdash, you must instrument your application with calls to an appdash recorder. You can record any type of event or operation. Recorders and schemas for HTTP (client and server) and SQL are provided, and you can write your own.
To install appdash, run:
go get -u sourcegraph.com/sourcegraph/appdash/cmd/...
A standalone example using Negroni and Gorilla packages is available in the examples/cmd/webapp folder.
A demo / pure net/http application (which is slightly more verbose) is also available at cmd/appdash/example_app.go, and it can be ran easily using appdash demo on the command line.
Questions or comments? Join us on #sourcegraph in the Gophers slack!
Appdash uses vfsgen to package HTML templates with the appdash binary for
distribution. This means that if you want to modify the template data in traceapp/tmpl you can first build using the dev build tag, which makes the template data be reloaded from disk live.
After you're finished making changes to the templates, always run go generate sourcegraph.com/sourcegraph/appdash/traceapp/tmpl so that the data_vfsdata.go file is updated for normal Appdash users that aren't interested in modifying the template data.
Appdash follows the design and naming conventions of Google's Dapper. You should read that paper if you are curious about why certain architectural choices were made.
There are 4 main components/concepts in appdash:
Appdash has clients available for Go, Python (see python/ subdir) and Ruby (see https://github.com/bsm/appdash-rb).
Appdash supports the OpenTracing API. Please see the
opentracing subdir for the Go implementation, or see the GoDoc
for API documentation.
appdash was influenced by, and uses code from, Coda Hale's lunk.
FAQs
Package appdash provides a Go app performance tracing suite. Appdash allows you to trace the end-to-end performance of hierarchically structured applications. You can, for example, measure the time and see the detailed information of each HTTP request and SQL query made by an entire distributed web application. The cmd/appdash tool launches a web front-end which displays a web UI for viewing collected app traces. It is effectively a remote collector which your application can connect and send events to. Timing and application-specific metadata information can be viewed in a nice timeline view for each span (e.g. HTTP request) and it's children. The web front-end can also be embedded in your own Go HTTP server by utilizing the traceapp sub-package, which is effectively what cmd/appdash serves internally. Sub-packages for HTTP and SQL event tracing are provided for use with appdash, which allows it to function equivalently to Google's Dapper and Twitter's Zipkin performance tracing suites. The most high-level structure is a Trace, which represents the performance of an application from start to finish (in an HTTP application, for example, the loading of a web page). A Trace is a tree structure that is made up of several spans, which are just IDs (in an HTTP application, these ID's are passed through the stack via a few special headers). Each span ID has a set of Events that directly correspond to it inside a Collector. These events can be any combination of message, log, time-span, or time-stamped events (the cmd/appdash web UI displays these events as appropriate). Inside your application, a Recorder is used to send events to a Collector, which can be a remote HTTP(S) collector, a local in-memory or persistent collector, etc. Additionally, you can implement the Collector interface yourself and store events however you like.
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