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
dojo.pdf
Search
Rich Burroughs
April 18, 2019
Technology
140
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
dojo.pdf
Rich Burroughs
April 18, 2019
More Decks by Rich Burroughs
See All by Rich Burroughs
Virtual_Kubernetes_Clusters__Tips_and_Tricks_-_Rejekts.pdf
richburroughs
0
1.3k
What On-Call Does to Us
richburroughs
1
140
Other Decks in Technology
See All in Technology
DevelopersIO 2026 知識の地図を描く ─ オントロジーとは何か?
ishikawa_satoru
1
1.7k
AIカンパニーへの転換を支えた、エンジニアの仕事の再定義
kworkdev
PRO
2
1.2k
TinyGoでオブザーバビリティ?OpenTelemetryはTinyGoで使えるのか / Is OpenTelemetry available in TinyGo environment?
ymotongpoo
2
140
LambdaWebFunctionsを試してみた / exploring-lambda-web-functions
koukihosaka
1
340
無理せず続ける、子育てエンジニアの学び
codmoninc
PRO
0
870
Rustuna: Rustによる高速なOptuna実装
pfn
PRO
0
190
今さら理解するウェブフォントver.2026
takanorip
3
790
コンテナ運用におけるネットワーク・コンテナコストの削減方法/How to Reduce Network and Container Costs in Container Operations
masakiokuda
1
190
Kiro Crewをはじめよう
kizawa2020
1
160
PagerDuty Tech Hub-鳴らすけれど、人は動かない
ezaki
0
170
AI コーディングと人間の認知スループット / CTO Night & Day 2026 Morning Session / AI Coding and Human Cognitive Throughput
prog893
4
1.1k
⾮構造化データを価値に変える AI エージェント基盤とその組織
ivry_presentationmaterials
0
190
Featured
See All Featured
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
360
The Pragmatic Product Professional
lauravandoore
37
7.5k
New Earth Scene 8
popppiees
4
2.7k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
410
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
300
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2.2k
Abbi's Birthday
coloredviolet
4
10k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.5k
Building Adaptive Systems
keathley
44
3.2k
Bash Introduction
62gerente
615
220k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
570
WCS-LA-2024
lcolladotor
0
890
Transcript
Learning Through Failure Rich Burroughs Community Manager Gremlin, Inc. @richburroughs
None
None
Complexity is constantly increasing
None
None
None
What's changed?
None
None
"Catastrophe is always just around the corner"
"Change introduces new forms of failure"
"All practitioner actions are gambles"
None
None
What are some ways we can learn more about systems?
None
None
None
Chaos Engineering
"The science of performing intentional experimentation on a system by
injecting precise and measured amounts of harm to observe how the system responds for the purpose of improving the system’s resilience."
None
Prerequisites —Observability —Blameless Culture
Scientific Method —Ask a question —Research —Form a hypothesis —Experiment
to test the hypothesis —Analyze data and draw a conclusion —Share the results
Types of attacks —Shutdown —CPU —Memory —I/O —Network Latency —Packet
Loss —DNS —Blackhole
None
The goal is to experiment in Production
None
Example experiment —Application: Front End —Attack: CPU —Hypothesis: Adding CPU
load will cause additional hosts to spin up in our Autoscaling Group —Abort condition: Latency increases by 20%
Example experiment #2 —Application: Front End —Attack: Blackhole —Hypothesis: Blackholing
the hostname for the Twilio API will cause the SMS transmissions to time out —Abort condition: Error rate increases by 20%
Don't experiment on things you know are broken
None
Questions —Were we able to measure the results? —Did the
system respond the way we expected? —Are there things we need to fix?
Run experiments to simulate an incident you've had
What comes after Game Days?
Continuous Chaos
Maturity model —Running manual experiments —Running experiments using Chaos Engineering
tools —Regularly scheduled Game Days —Experimenting in Production —Continuous Chaos
Next steps: —Join our Chaos Engineering Slack: gremlin.com/ slack —Read
tutorials: gremlin.com/community —Chaos Conf: chaosconf.io —Gremlin Free: go.gremlin.com/richchaos
Thank you! Twitter: @richburroughs Email:
[email protected]
Slides: https://github.com/richburroughs/ dojo201904