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
OpenTelemetry at AWS
Search
JBD
May 18, 2021
Programming
1
1.8k
OpenTelemetry at AWS
Register and watch this talk now!
https://o11yfest.org/attend
.
JBD
May 18, 2021
Tweet
Share
More Decks by JBD
See All by JBD
eBPF in Microservices Observability at eBPF Day
rakyll
1
2.1k
eBPF in Microservices Observability
rakyll
1
1.7k
Debugging Code Generation in Go
rakyll
5
1.5k
Are you ready for production?
rakyll
8
2.8k
Servers are doomed to fail
rakyll
3
1.5k
Serverless Containers
rakyll
1
250
Critical Path Analysis
rakyll
0
580
Monitoring and Debugging Containers
rakyll
2
1.1k
CPDD
rakyll
0
4.2k
Other Decks in Programming
See All in Programming
マルチアカウント環境での、そこまでがんばらない RI/SP 運用設計
wa6sn
0
710
AIコーディングワークフローの試行 〜AIエージェント×ワークフローでの自動化を目指して〜
rkaga
2
3.3k
5年間継続して開発した自作OSSの記録
bebeji_nappa
0
160
これだけは知っておきたいクラス設計の基礎知識 version 2
masuda220
PRO
24
6k
AI Agents with JavaScript
slobodan
0
210
自分のために作ったアプリが、グローバルに使われるまで / Indie App Development Lunch LT
pixyzehn
1
150
新しいPHP拡張モジュールインストール方法「PHP Installer for Extensions (PIE)」を使ってみよう!
cocoeyes02
0
340
Agentic Applications with Symfony
el_stoffel
2
270
「”誤った使い方をすることが困難”な設計」で良いコードの基礎を固めよう / phpcon-odawara-2025
taniguhey
0
110
リアルタイムレイトレーシング + ニューラルレンダリング簡単紹介 / Real-Time Ray Tracing & Neural Rendering: A Quick Introduction (2025)
shocker_0x15
1
290
国漢文混用体からHolloまで
minhee
1
160
AWS で実現する安全な AI エージェントの作り方 〜 Bedrock Engineer の実装例を添えて 〜 / how-to-build-secure-ai-agents
gawa
8
700
Featured
See All Featured
BBQ
matthewcrist
88
9.6k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
47
2.4k
How to train your dragon (web standard)
notwaldorf
91
6k
A Tale of Four Properties
chriscoyier
158
23k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
Why Our Code Smells
bkeepers
PRO
336
57k
Facilitating Awesome Meetings
lara
54
6.3k
4 Signs Your Business is Dying
shpigford
183
22k
StorybookのUI Testing Handbookを読んだ
zakiyama
29
5.6k
Thoughts on Productivity
jonyablonski
69
4.6k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
178
52k
Visualization
eitanlees
146
16k
Transcript
@rakyll OpenTelemetry at AWS Jaana Dogan Principal Engineer, AWS
[email protected]
@rakyll Who? Jaana Dogan, AWS Explicit focus on instrumentation
@rakyll Five AWS stories... Too many agents Too many formats
Too little correlation Too many ways to propagate Too many products to support
@rakyll Too many agents 4-5 agents Friction in installation Operational
burden Friction in configuration delivery Performance penalty
@rakyll Too many formats EMF CloudWatch Prometheus statsd Vendor formats
... X-Ray Zipkin Jaeger Vendor formats ...
@rakyll Too little correlation Tool fatigue Disjoint views Missing metadata
Friction in troubleshooting
@rakyll Too many ways to propagate Lack of end-to-end traces
Missing label propagation No W3C TraceContext or B3 support No runtime propagation standards
@rakyll Too many products to support CloudWatch X-Ray Prometheus Elasticsearch/OpenSearch
New Relic, Datadog, Splunk, Honeycomb, Lightstep and more.
@rakyll What do we use? Specification Context Propagation Semantic Conventions
Data Model Protocol (OTLP) Collector Client Libraries
@rakyll What’s next? collector Managed on EC2, ECS, EKS, Lambda,
etc.
@rakyll What’s next? collector Managed on EC2, ECS, EKS, Lambda,
etc.
@rakyll What’s next? collector Managed on EC2, ECS, EKS, Lambda,
etc. OTLP Prometheus statsd X-Ray Jaeger Zipkin
@rakyll What’s next? collector Managed on EC2, ECS, EKS, Lambda,
etc. OTLP Prometheus statsd X-Ray Jaeger Zipkin CloudWatch Prometheus X-Ray Elastic/OpenSearch Jaeger Zipkin Vendors Raw storage
@rakyll What’s next? collector Managed on EC2, ECS, EKS, Lambda,
etc. OTLP Prometheus statsd X-Ray Jaeger Zipkin CloudWatch Prometheus X-Ray Jaeger Zipkin Vendors Raw storage enrich, transform, ...
@rakyll Container Insights now collected by OpenTelemetry.
@rakyll What do we use? Specification Context Propagation Semantic Conventions
Data Model Protocol (OTLP) Collector Client Libraries
@rakyll What works well? Flexible Composable Lightweight enough Holistic Legacy
protocol friendly Community
@rakyll What challenges us? Stability Custom builds Compatibility (Prometheus &
CloudWatch) Boilerplate in client libraries
@rakyll What are we working on next?
@rakyll Prometheus
@rakyll Prometheus Drop-in replacement for Prometheus Data model changes Remote
write compliance Discovery + scrape config compliance Kubernetes operator
@rakyll Components Container Insights receivers and processors CloudWatch histogram compatibility
CloudWatch Logs exporter S3 exporter
@rakyll Propagation Adopting 128-bit trace IDs in X-Ray Context propagation
in SQL
@rakyll Platforms EC2 ECS EKS Lambda (and control plane components...)
@rakyll Lambda support
@rakyll Others... eBPF Profiles Real time user monitoring Network diagnostics
Database performance
@rakyll One more thing...
@rakyll Exporting to vendors? Vended data streams CloudWatch Metric Streams
support OTLP CW Metrics S3 (in JSON or OTLP) Kinesis (in JSON or OTLP)
@rakyll It’s not a fork. It’s a snapshot for security,
performance, support.
@rakyll Thank you Jaana Dogan Principal Engineer, AWS
[email protected]