(cherry picked from commit 56ddb70f624e7070ad0d3531d498675f9f82c664) Signed-off-by: Alex Stan <alexandrustan96@yahoo.ro> Signed-off-by: Andrei Aaron <aaaron@luxoft.com> Co-authored-by: Alex Stan <alexandrustan96@yahoo.ro>
1.2 KiB
Profiling in Zot
This project gives the user the posibility to debug and profile the runtime to find relevant data such as CPU intensive function calls. An in-depth article on profiling in Go can be found here.
A call to http://localhost:8080/v2/_zot/pprof/ would list the following available profiles, wrapped in an HTML file, with count values prior to change due to the runtime:
Types of profiles available:
Count Profile
95 allocs
0 block
0 cmdline
11 goroutine
95 heap
0 mutex
0 profile
13 threadcreate
0 trace
full goroutine stack dump
For example, the following can be used to gather the cpu profile for the amount of seconds specified as a query parameter, and then the results are stored in cpu.prof
file:
curl -sK -v http://localhost:8080/v2/_zot/pprof/profile?seconds=30 > cpu.prof
Then, the user can use the go tool pprof
to analyze the information generated previously in cpu.prof
. The following command boots up an http server with a GUI and multiple charts that represent the data.
go tool pprof -http=:9090 cpu.prof
A flamegraph example would look like the following: