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
Kamon
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Arnout Engelen
December 12, 2014
Technology
0
110
Kamon
Akka monitoring
Arnout Engelen
December 12, 2014
Tweet
Share
More Decks by Arnout Engelen
See All by Arnout Engelen
Typesetting Code
raboof
0
96
Sandstorm.io
raboof
0
62
JVM Hacking
raboof
0
290
Heating Up!
raboof
0
46
CRDTs Illustrated - StrangeLoop2015
raboof
0
290
HTTP/2
raboof
0
71
Unikernels - Dutch Devops Engineers workshop
raboof
0
120
akka-persistence
raboof
0
49
Slim table types (FitNesse meetup)
raboof
0
50
Other Decks in Technology
See All in Technology
DatabricksホストモデルでAIコーディング環境を構築する
databricksjapan
0
220
全員が「作り手」になる。職能の壁を溶かすプロトタイプ開発。
hokuo
1
660
SMTP完全に理解した ✉️
yamatai1212
0
160
EventBridge API Destination × AgentCore Runtimeで実現するLambdaレスなイベント駆動エージェント
har1101
7
290
toCプロダクトにおけるAI機能開発のしくじりと学び / ai-product-failures-and-learnings
rince
6
5k
データ民主化のための LLM 活用状況と課題紹介(IVRy の場合)
wxyzzz
2
350
しろおびセキュリティへ ようこそ
log0417
0
230
学生・新卒・ジュニアから目指すSRE
hiroyaonoe
1
340
SREのプラクティスを用いた3領域同時 マネジメントへの挑戦 〜SRE・情シス・セキュリティを統合した チーム運営術〜
coconala_engineer
1
400
AI時代、1年目エンジニアの悩み
jin4
1
140
Introduction to Sansan, inc / Sansan Global Development Center, Inc.
sansan33
PRO
0
2.9k
Deno・Bunの標準機能やElysiaJSを使ったWebSocketサーバー実装 / ラーメン屋を貸し切ってLT会! IoTLT 2026新年会
you
PRO
0
210
Featured
See All Featured
The browser strikes back
jonoalderson
0
350
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
The SEO Collaboration Effect
kristinabergwall1
0
350
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
54
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
51
Done Done
chrislema
186
16k
Optimizing for Happiness
mojombo
379
71k
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
67
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2k
GraphQLの誤解/rethinking-graphql
sonatard
74
11k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.4k
Transcript
AKKA monitoring: Kamon XSD Innovation Day 12/12/2014 Remco Beckers Arnout
Engelen
Tracing • One ‘TraceContext’ across actors/ask • Builtin support for
spray requests ◦ Even across hosts with X-Trace-Token hdr • Easy to expose to logback
Tracing
Tracing • Monitoring: ◦ Start/stop of TraceContext and segments ◦
Actor metrics (mailbox size, processing time etc) ◦ System metrics (CPU etc)
Dashboarding • Kamon -> DataDog • Kamon -> StatsD ->
Graphite -> Grafana ◦ All in one convenient docker image :) • Grafana beats DataDog • Demotime!
What’s good • Simple core • Quick win: logback •
Useful extensions (i.e. spray) outofthebox
What’s missing • Trace information lost in dashboards • Docs:
high-quality but incomplete • Fairly new, some (superficial) quirks in supporting material