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 @ GolangUK 2017
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Filippo Valsorda
August 17, 2017
Programming
1.3k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
You, latency and profiling @ GolangUK 2017
Filippo Valsorda
August 17, 2017
More Decks by Filippo Valsorda
See All by Filippo Valsorda
Asynchronous networking @ GopherCon 2018
filosottile
3
2.2k
Le note cifrate di Antonio Marzi
filosottile
1
450
Why cgo is slow @ CapitalGo 2018
filosottile
2
4.9k
Squeezing a key through a carry bit @ 34c3
filosottile
0
1.8k
Calling Rust from Go, without cgo @ GothamGo 2017
filosottile
1
2.9k
Encrypting the Internet with Go @ GopherCon 2017
filosottile
9
2.8k
You, latency and profiling @ GopherCon India 2017
filosottile
13
4.3k
TLS 1.3 @ 33c3
filosottile
4
7k
Stealing Bitcoin With Math - HOPE XI
filosottile
13
30k
Other Decks in Programming
See All in Programming
【やさしく解説 設計編・中級 #1】一つの車に、運転手は一人 ~ある倉庫システムの事例から~
panda728
PRO
0
200
Claude CodeとAgentCore Gatewayを繋ぐ際の認証認可 / Authentication and authorization when connecting Claude Code with AgentCore Gateway
har1101
0
170
その節約、円になってますか?
isamumumu
1
680
【やさしく解説 設計編・中級 #4】ルールの寿命と、システムの年輪
panda728
PRO
2
180
PHPだって関数型したい 〜できること、できないこと〜 / fp-in-php
jsoizo
1
270
AWS DevOps AgentのAzure接続機能を検証して見えた活用法/Use Cases Verified for the AWS DevOps Agent's Azure Connectivity Feature
masakiokuda
1
210
Augmenting AI with the Power of Jakarta EE
ivargrimstad
0
480
アルゴリズムは何を圧縮しているのか ─ Haskell から育った「圧縮代数」というメンタルモデル
naoya
16
3.8k
Japan Community Day at Kubecon + CloudNativeCon Japan 2026: Learning Container Privilege Control by Building My Own Low-Level Container Runtime
ternbusty
1
130
仕様駆動開発へのトライを機に チームに適合する手法を模索し続けている話
freee
PRO
0
400
OpenSpecのproposalにbrainstormingを持たせてみた
tigertora7571
1
200
【SRE NEXT 2026 Lunch Session】一人目専任SREの立ち上げを加速する ― AIと進めたオンボーディングで2分を0.04秒にした話
pkshadeck
PRO
0
3.5k
Featured
See All Featured
For a Future-Friendly Web
brad_frost
183
10k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
2
1.5k
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
3
1.1k
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.5k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
400
Documentation Writing (for coders)
carmenintech
77
5.4k
Principles of Awesome APIs and How to Build Them.
keavy
128
18k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.6k
Marketing Yourself as an Engineer | Alaka | Gurzu
gurzu
0
270
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.4k
Code Reviewing Like a Champion
maltzj
528
40k
Transcript
You, latency and profiling Filippo Valsorda — @FiloSo/le
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 ms
A fast website… … can handle many requests … or
loads in a few milliseconds
A fast API… … can handle many clients … or
answers in a few milliseconds
Fast is… Throughput and Latency
CPU profiling -cpuprofile /debug/pprof/profile
SIGPROF CPU profiling
runtime/proc.go
h>p.Handler 1 Running on CPU h>p.Handler 2 I/O I/O h>p.Handler
3 I/O h>p.Handler 4 I/O CPU profiling
Running on CPU I/O I/O I/O I/O h>p.Handler 1 h>p.Handler
2 h>p.Handler 3 h>p.Handler 4 CPU profiling
I/O Observed latency h>p.Handler 1 CPU profiling
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 execuOon events: • gorouOne
scheduling, blocking • syscalls, network, I/O • garbage collecOon
•log files are BIG •25% overhead (aWer Go 1.7) •symbols
are embedded (Go 1.7) The tracer
•Full event context •GorouOne metadata and history •Discrete events, not
samples Trace vs. profile
CPU profiling Total: 20 samples
Tracing events
import "runtime/trace" import "net/http/pprof" /debug/pprof/trace?seconds=5 The tracer
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
-pprof=net
None
WriIng 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) }
tracefocus tracefocus -filter=ServeHTTP trace.out > net.pprof github.com/FiloSottile/tracetools
None
None
Build more tools! • Focus on gorouOne number • Aggregate
all blocking types • VisualizaOons • …
tracehist tracehist -filter=Close trace.out github.com/FiloSottile/tracetools
None
Build more tools! Profile latency!
QuesIons? Filippo Valsorda @FiloSo/le hi@filippo.io