Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
You, latency and profiling @ GopherCon India 2017
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Filippo Valsorda
February 25, 2017
Programming
13
4.2k
You, latency and profiling @ GopherCon India 2017
Filippo Valsorda
February 25, 2017
Tweet
Share
More Decks by Filippo Valsorda
See All by Filippo Valsorda
Asynchronous networking @ GopherCon 2018
filosottile
3
2.1k
Le note cifrate di Antonio Marzi
filosottile
1
430
Why cgo is slow @ CapitalGo 2018
filosottile
2
4.8k
Squeezing a key through a carry bit @ 34c3
filosottile
0
1.8k
Calling Rust from Go, without cgo @ GothamGo 2017
filosottile
1
2.9k
You, latency and profiling @ GolangUK 2017
filosottile
0
1.2k
Encrypting the Internet with Go @ GopherCon 2017
filosottile
9
2.7k
TLS 1.3 @ 33c3
filosottile
4
6.9k
Stealing Bitcoin With Math - HOPE XI
filosottile
13
30k
Other Decks in Programming
See All in Programming
ベクトル検索のフィルタを用いた機械学習モデルとの統合 / python-meetup-fukuoka-06-vector-attr
monochromegane
2
450
CDIの誤解しがちな仕様とその対処TIPS
futokiyo
0
220
Angular-Apps smarter machen mit Gen AI: Lokal und offlinefähig - Hands-on Workshop!
christianliebel
PRO
0
110
モダンOBSプラグイン開発
umireon
0
140
ふつうのRubyist、ちいさなデバイス、大きな一年 / Ordinary Rubyists, Tiny Devices, Big Year
chobishiba
1
460
エージェント開発初心者の僕がエージェントを作った話と今後やりたいこと
thasu0123
0
250
Claude Code の Skill で複雑な既存仕様をすっきり整理しよう
yuichirokato
1
390
Go Conference mini in Sendai 2026 : Goに新機能を提案し実装されるまでのフロー徹底解説
yamatoya
0
600
Cyrius ーLinux非依存にコンテナをネイティブ実行する専用OSー
n4mlz
0
150
AI駆動開発の本音 〜Claude Code並列開発で見えたエンジニアの新しい役割〜
hisuzuya
4
510
Codexに役割を持たせる 他のAIエージェントと組み合わせる実務Tips
o8n
4
1.3k
CS教育のDX AIによる育成の効率化
niftycorp
PRO
0
120
Featured
See All Featured
Leo the Paperboy
mayatellez
4
1.5k
Docker and Python
trallard
47
3.8k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
220
Making Projects Easy
brettharned
120
6.6k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
140
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
32
2.8k
Done Done
chrislema
186
16k
Tell your own story through comics
letsgokoyo
1
840
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
74
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
640
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Transcript
You, latency and profiling Filippo Valsorda — @FiloSottile
What is fast?
A fast hash… … can hash many MB per second
A fast regex… … can process many MB/s
A fast database… … can store many GB per second
A fast database… … can store many GB per second
… or replies to queries in a few milliseconds
A fast website… … can handle many requests at the
same time … or loads in a few milliseconds
A fast API… … can handle many clients at the
same time … or answers in a few milliseconds
Fast is… Throughput and Latency
CPU profiling -cpuprofile /debug/pprof/profile
CPU profiling SIGPROF
runtime/proc.go
CPU profiling http.Handler 1 Running on CPU http.Handler 2 I/O
I/O http.Handler 3 I/O http.Handler 4 I/O
CPU profiling Running on CPU I/O I/O I/O I/O http.Handler
1 http.Handler 2 http.Handler 3 http.Handler 4
CPU profiling I/O Observed latency http.Handler 1
func Write(data []byte) { for i := 0; i <
50; i++ { tmpfile, _ := ioutil.TempFile("", "ex") defer os.Remove(tmpfile.Name()) _, err = tmpfile.Write(data) tmpfile.Close() } } func Hash(data []byte) { for i := 0; i < 50; i++ { sha256.Sum256(data) } }
$ time curl http://127.0.0.1:12345/hash-and-write 9.831 total go tool pprof -web
slowserver cpu.pprof
None
$ time curl http://127.0.0.1:12345/hash-and-write 9.831 total $ time
curl http://127.0.0.1:12345/write-no-hash 7.692 total
Latency is not all about CPU
CPU profiling is for throughput The tracer is for latency
$ time curl http://127.0.0.1:12345/write-no-hash 7.692 total go tool trace -pprof=syscall
trace.out > syscall.pprof go tool pprof -web syscall.pprof
None
The tracer Detailed nanosecond-level log of execution events: • goroutine
scheduling, blocking • syscalls, network, I/O • garbage collection
The tracer • log files are BIG • 25% overhead
(after Go 1.7) • symbols are embedded (Go 1.7)
Trace vs. profile • Full event context • Goroutine metadata
and history • Discrete events, not samples
The tracer import "runtime/trace" import "net/http/pprof" /debug/pprof/trace?seconds=5
None
go tool trace -pprof=TYPE trace.out Supported profile types are: -
net: network blocking profile - sync: synchronization blocking profile - syscall: syscall blocking profile - sched: scheduler latency profile
go tool trace -pprof=syscall trace.out > syscall.pprof go tool pprof
-web syscall.pprof
go tool trace -pprof=syscall trace.out > syscall.pprof go-torch -b syscall.pprof
&& open torch.svg
None
None
-pprof=syscall func Write(data []byte) { for i := 0; i
< 50; i++ { tmpfile, _ := ioutil.TempFile("", "ex") defer os.Remove(tmpfile.Name()) _, err = tmpfile.Write(data) tmpfile.Close() } }
-pprof=sync // Block waits on a channel func Block() {
<-time.After(1 * time.Second) }
-pprof=sync
-pprof=sync
-pprof=net func Download() []byte { r, err := http.Get("https://golang.org/doc/go1.8") body,
err := ioutil.ReadAll(r.Body) r.Body.Close() return body }
-pprof=net
-pprof=net
None
Writing our own profile prof := make(map[uint64]pprof.Record) for _, ev
:= range events { if ev.Type != trace.EvGoBlockNet { continue } rec := prof[ev.StkID] rec.Stk = ev.Stk rec.N++ rec.Time += ev.Link.Ts - ev.Ts prof[ev.StkID] = rec } pprof.BuildProfile(prof).Write(os.Stdout)
var childG = make(map[uint64]struct{}) var lastGLen int for { for
_, ev := range events { if ev.Type != trace.EvGoCreate { continue } if _, ok := childG[ev.G]; !ok && !filterStack(ev.Stk, re) { continue } childG[ev.Args[0]] = struct{}{} } if len(childG) == lastGLen { break } lastGLen = len(childG) }
if _, ok := childG[ev.G]; !ok && !filterStack(ev.Stk, re) {
continue }
tracefocus tracefocus -filter=ServeHTTP trace.out > net.pprof github.com/FiloSottile/tracetools
None
None
Build more tools! • Focus on goroutine number • Aggregate
all blocking types • Visualizations • …
tracehist tracehist -filter=Close trace.out github.com/FiloSottile/tracetools
None
Build more tools! Profile latency!
Questions? Filippo Valsorda @FiloSottile filippo@cloudflare.com