title: Developing and Debugging menu_order: 90
The following topics are discussed:
Building Scope from source depends on the latest version of docker, so please install that before proceeding.
The build process is automated using make
, which builds the UI build container, builds the UI in said container, builds the backend build container, builds the app and probe in said container, and finally pushes the lot into a Docker image called weaveworks/scope.
make
Then, run the local build via:
./scope launch
If needed, install the tools used for managing dependencies, managing releases, and doing coverage analysis via:
make deps
Scope unit tests for probe
and app
components can be run via:
make tests
Similarly the frontend client tests can be run via:
make client-test
Note: The tools from
make deps
depend on a local install of Go.
Scope has a collection of built-in debugging tools to aid Scope developers.
To get debug information in the logs launch Scope with --debug
:
scope launch --debug
docker logs weavescope
To have the Scope App or Scope Probe dump their goroutine stacks, run:
kill -QUIT $(pgrep -f scope-(app|probe))
docker logs weavescope
The Scope Probe is instrumented with various counters and timers. To have it dump those values, run:
kill -USR1 $(pgrep -f scope-probe)
docker logs weavescope
If you run with --probe.http.listen
enabled, these are exposed as Prometheus metrics instead, via http at /metrics
.
Both the Scope App and the Scope Probe offer HTTP endpoints with profiling information.
These cover things such as CPU usage and memory consumption:
--probe.http.listen addr:port
. For instance, launching Scope with scope launch --probe.http.listen :4041
, will allow you access the Scope Probe's profiling endpoints on port 4041.Then, you can collect profiles in the usual way. For instance:
To collect the memory profile of the Scope App:
go tool pprof http://localhost:4040/debug/pprof/heap
To collect the CPU profile of the Scope Probe:
go tool pprof http://localhost:4041/debug/pprof/profile
To collect a blocking profile of the Scope App, make sure you have launched
Scope with --app.block.profile.rate=N
(where N
is the number of
nanoseconds between samples) and then:
go tool pprof http://localhost:4040/debug/pprof/block
If you don't have go
installed, you can use a Docker container instead:
To collect the memory profile of the Scope App:
docker run --net=host -v $PWD:/root/pprof golang go tool pprof http://localhost:4040/debug/pprof/heap
To collect the CPU profile of the Scope Probe:
docker run --net=host -v $PWD:/root/pprof golang go tool pprof http://localhost:4041/debug/pprof/profile
You will find the output profiles in your working directory.