Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Kubernetesコントローラーのパフォーマンスチューニング
Search
Akihiro Ikezoe
March 16, 2023
Programming
2.4k
4
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Kubernetesコントローラーのパフォーマンスチューニング
Kubernetes Meetup Tokyo #56
2023/03/16
https://k8sjp.connpass.com/event/275280/
Akihiro Ikezoe
March 16, 2023
More Decks by Akihiro Ikezoe
See All by Akihiro Ikezoe
Kubernetes Admission Webhook Deep Dive
zoetrope
8
1.6k
Kubernetesオペレータのアンチパターン&ベストプラクティス
zoetrope
11
5k
Production-Ready Kubernetesに至るまでの3年間とこれから
zoetrope
4
970
オンプレKubernetesでMySQLクラスタの運用を自動化するためにOperatorを自作している話
zoetrope
5
2.5k
サイボウズを支える技術~インフラ刷新プロジェクトNecoを中心に紹介~
zoetrope
1
1.3k
Kuebernetesクラスタのマルチテナンシーベストプラクティス
zoetrope
8
6.9k
クラウドネイティブなチームづくり
zoetrope
7
4k
Open Policy Agent / Gatekeeper 勉強会
zoetrope
5
3k
Kubernetesクラスタの自動管理システムのつくりかた
zoetrope
3
19k
Other Decks in Programming
See All in Programming
KiroのSpecで「五目並べ」を作ってみる
satoshi256kbyte
1
350
Streamlitで実現する自然言語データアプリ開発
ayumu_yamaguchi
1
340
Vue Fes Japan 2026 タイムテーブル徹底解説
448jp
1
620
半永久的に提供し続けられるプライベートクラウドを目指して ― 利用者の認知負荷を抑えるAPI抽象化とハードウェア世代交代の基盤設計
tomokon
0
440
Security issues being discussed on Web Platforms
petamoriken
0
1.4k
カツオ、ご期待ください
suneo3476
0
150
Webの地図
yosuke_furukawa
PRO
6
5.1k
Simple Storage Service(S3) is not simple
iwatsukayura
0
190
Findy - エンジニア向け会社紹介/Findy Company Deck
findyinc
6
400k
wkhtmltopdfの次どうするか問題2026
willnet
2
1.8k
モバイル交通系ICへのチャージ実例から考える、クロスプラットフォーム開発におけるiOS実機テスト設計とCI運用
yusuga
1
580
[Rails World 2026] Durable orchestration on Rails: from continuation to workflow
palkan
1
470
Featured
See All Featured
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
31k
Are puppies a ranking factor?
jonoalderson
2
4k
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
450
Visual Storytelling: How to be a Superhuman Communicator
reverentgeek
2
700
[Rails World 2026] Durable orchestration on Rails: from continuation to workflow
palkan
1
470
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Navigating Team Friction
lara
192
16k
Discover your Explorer Soul
emna__ayadi
2
1.3k
Code Review Best Practice
trishagee
74
20k
Ruling the World: When Life Gets Gamed
codingconduct
0
390
AI Search: Where Are We & What Can We Do About It?
aleyda
0
8k
Test your architecture with Archunit
thirion
2
2.4k
Transcript
None
◆ ◆ ◆ ◼ ◼ ◼ ◼ ◼ ◼ ◼
◆ ◼ ◆ ◼ ◆ ◼ ⚫ ⚫ ◼
None
◆ ◆ ◼ ◆ ◼ ◼ ◼
✓ ✓ ✓ ✓ ✓ ✓
◆ ◆ ◼ ◼ ◆ ◼ ◼
Controller Workers Workers Workers Workers Reconciler Informer
Controller Workers Workers Workers Workers Reconciler Informer
◆ ◼ ◆ ◼ ◼ ◆ ◼ ◼
◆ ◼ ◼ ◆ ◼ ◼ ◆ ◼ ◼
◆ ◼ ◼ ◆
◆ ◼ https://github.com/kubernetes/enhancements/issues/1602 ◆ ◼ https://kubernetes.io/docs/reference/instrumentation/metrics/ ◆ ◼ https://kubernetes.io/docs/concepts/cluster-administration/system-traces/
◆ ◼ ◼ ◼ ⚫ ⚫ https://cybozu-go.github.io/moco/metrics.html ⚫
◆ ◼ ◼ ⚫ ⚫ ⚫ ◼
◆ ◼ ◼ ◼ ◆ ◼ ◼ ◼ https://github.com/cybozu-go/moco/pull/500
◆ ◼ ◼ ◼ ◼ ◼ ◆
◆ ◼ ◼ ⚫ ◆ ◼
◆ ◆ ◼ ◼ ◼ ◼ ◼ ◼
◆ ◼ ◆ ◆ ◼ ◆
None
◆ ◼ ◼ ◆ ◼ ◼ ◆ ◼
Kubernetes Cluster Application Controller ArgoCD Server Repo Server Application Resource
Application Resource
application-controller Workers Workers Workers Workers Status Processors Workers Workers Operation
Processors Application Resource Informer Informer watch Events Application Resource
◆ ◆ ◼ ◼ ◼
◆ ◼ ◆ ◼ ◆ ◼ ◆ ◼
◆ ◼ ◼ ◆
◆ ◼ ◼
application-controller Workers Workers Workers Workers Status Processors Workers Workers Operation
Processors Application Resource Informer Informer watch Events
◆ ◼ ◼ ◆ ◼ ◆ ◼
◆ ◆
◆ ◼ ◼ ◼ ◆
workqueue_depth{job="kube-controller-manager",name="volumes"}
histogram_quantile(0.99, sum(rate( rest_client_rate_limiter_duration_seconds_bucket{ job="kube-controller-manager" }[1m] )) by (le))
kube-controller-manager PersistentVolume Controller
◆ ◼ --kube-api-qps ◆ ◼ ◆ ◼ ◼
None
◆ ◆ ◆
None
◆ ◼ https://github.com/zoetrope/kubbernecker ◼ ◼ ⚫ ◼ ⚫ ⚫
None
# Reconcile 99 histogram_quantile(0.99, sum( rate(controller_runtime_reconcile_time_seconds_bucket[1m]) ) by(job, controller, le)
) # Reconcile sum(rate(controller_runtime_reconcile_total[1m]))by(job, controller, result)
# 99 histogram_quantile(0.99, sum(rate(workqueue_queue_duration_seconds_bucket[1m])) by(job, name, le)) # sum(workqueue_depth) by
(job, name)
◆ ◆ import ( "context" "net/url" "time" "github.com/prometheus/client_golang/prometheus" clmetrics "k8s.io/client-go/tools/metrics"
crmetrics "sigs.k8s.io/controller-runtime/pkg/metrics" ) var ( rateLimiterDelay = prometheus.NewHistogramVec( prometheus.HistogramOpts{ Name: "rest_client_rate_limiter_duration_seconds", Help: "client-go rate limiter delay in seconds. Broken down by verb, and host.", Buckets: []float64{0.005, 0.025, 0.1, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 15.0, 30.0, 60.0}, }, []string{"verb", "host"}, ) _ clmetrics.LatencyMetric = &latencyAdapter{} ) func init() { crmetrics.Registry.MustRegister(rateLimiterDelay) adapter := latencyAdapter{ metric: rateLimiterDelay, } clmetrics.RateLimiterLatency = &adapter } type latencyAdapter struct { metric *prometheus.HistogramVec } func (c *latencyAdapter) Observe(_ context.Context, verb string, u url.URL, latency time.Duration) { c.metric.WithLabelValues(verb, u.Host).Observe(latency.Seconds()) }
# Rate Limiter 99 histogram_quantile(0.99, sum( rate(rest_client_rate_limiter_duration_seconds_bucket[1m]) ) by(job, verb,
le) )
# Application Reconcile Status Processor {job=~"argocd/argocd-application-controller"} | logfmt | msg
="Reconciliation completed" | line_format "{{.application}}: {{.time_ms}}" # Application Reconcile Operation Processor {job=~"argocd/argocd-application-controller"} | logfmt | msg = "sync/terminate complete" | line_format "{{.application}}: {{.duration}}"
# {job=~"argocd/argocd-application-controller"} | logfmt | level = "debug" msg =~
"Refreshing app .*" apiVersion: v1 kind: ConfigMap metadata: name: argocd-cmd-params-cm data: # Application Controller debug default "info" controller.log.level: "debug"
◆
◆ $ kubectl port-forward svc/argocd-application-controller-metrics -n argocd 8082:8082 # 30
$ curl localhost:8082/debug/pprof/profile > cpu.pprof # goroutine $ curl localhost:8082/debug/pprof/goroutine?debug=1
◆ ◆ --otlp-address ◆
apiVersion: v1 kind: ConfigMap metadata: name: argocd-cmd-params-cm data: # Number
of application status processors (default 20) controller.status.processors: "20" # Number of application operation processors (default 10) controller.operation.processors: "10" ◆ ◆
import ctrl "sigs.k8s.io/controller-runtime" // ・・・途中省略・・・ cfg, err := ctrl.GetConfig() if
err != nil { return err } cfg.QPS = 50 cfg.Burst = int(cfg.QPS * 1.5) mgr, err := ctrl.NewManager(cfg, ctrl.Options{ ... })