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
Resilient Software Design
Search
Swanand Pagnis
January 21, 2015
Technology
1
430
Resilient Software Design
Lessons learned from Michal Nygard's "Release It!"
Swanand Pagnis
January 21, 2015
Tweet
Share
More Decks by Swanand Pagnis
See All by Swanand Pagnis
Principles of Project Management Flow Part 1 and 2
swanandp
0
280
The Road to Continuous Deployments
swanandp
0
670
Fearless Joins
swanandp
0
340
The Deep Work Divide: Restoring the balance between collaboration and deep work
swanandp
1
980
The Well Rounded Engineer
swanandp
24
14k
The Deep Work Mentality
swanandp
7
2.2k
Combinator Parsing
swanandp
0
870
It's 2017, and I still want to sell you a graph database
swanandp
2
950
Architecture Over Framework: Rethink Your App Structure
swanandp
1
260
Other Decks in Technology
See All in Technology
GC25 Recap+: Advancing Go Garbage Collection with Green Tea
logica0419
1
410
[2025-09-30] Databricks Genie を利用した分析基盤とデータモデリングの IVRy の現在地
wxyzzz
0
480
【新卒研修資料】LLM・生成AI研修 / Large Language Model・Generative AI
brainpadpr
24
17k
小学4年生夏休みの自由研究「ぼくと Copilot エージェント」
taichinakamura
0
290
成長自己責任時代のあるきかた/How to navigate the era of personal responsibility for growth
kwappa
3
280
SOC2取得の全体像
shonansurvivors
1
400
自作LLM Native GORM Pluginで実現する AI Agentバックテスト基盤構築
po3rin
2
260
生成AIで「お客様の声」を ストーリーに変える 新潮流「Generative ETL」
ishikawa_satoru
1
320
Azure SynapseからAzure Databricksへ 移行してわかった新時代のコスト問題!?
databricksjapan
0
140
SREとソフトウェア開発者の合同チームはどのようにS3のコストを削減したか?
muziyoshiz
1
100
動画データのポテンシャルを引き出す! Databricks と AI活用への奮闘記(現在進行形)
databricksjapan
0
150
BtoBプロダクト開発の深層
16bitidol
0
340
Featured
See All Featured
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.1k
A Modern Web Designer's Workflow
chriscoyier
697
190k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
51k
Bash Introduction
62gerente
615
210k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
2.6k
GraphQLとの向き合い方2022年版
quramy
49
14k
Raft: Consensus for Rubyists
vanstee
139
7.1k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.6k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
54
3k
Designing for Performance
lara
610
69k
GitHub's CSS Performance
jonrohan
1032
460k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
9
850
Transcript
Resilient Software Design Building software that doesn’t give up!
1. What’s all this about? 2. Anti-patterns: What not to
do! 3. Patterns: Make your life easier.
Find the odd one 1. :cloud_factory 2. "CloudFactory" 3. CloudFactory
4. CLOUD_FACTORY
What will this code print? if fork puts "I won
the lottery!" else puts "I am bankrupt!" end
What’s all this about?
Stability
It Just Works™
It Should Work™
Bad things happen
Good things happen as well
But those are rare!
Anything that can go wrong, will go wrong. - Murphy’s
Law
Developers think positive
Too much so!
Be negative.
Our goal is to build software
Our goal is also to minimise pain
Our goal is also to save money
Resilient software saves money by not breaking when needed
Resilient software saves money by using optimum infrastructure
Resilient software saves money by keeping developers happy
Anti-patterns
1. Integration points
Integration is not what you think™
Database is an integration
Third party services are integration.
Your cache layer is an integration
None
Networks fail more often
Socket based protocols have a special way of failing
Refused connection is bad.
Hanged connection is worse.
Micro-services that talk to each other, will stop talking abruptly
2. Unbalanced Capacities
Specially applicable to micro-services
3. Slow responses
4. Unbounded Result Sets
Major anti-pattern, overlooked by many
What is the size of an HTTP cookie?
Patterns
1. Use timeouts!
What is the default timeout on Ruby’s net/http?
Now and forever, networks will always be unreliable. - Michael
T Nygard
Every network call in your system must have a timeout
This includes database calls
This includes API calls
This includes cache lookups
What to do when the timeout occurs depends on where
it occurred
Highly context specific, so the dev team should make that
decision
ProTip: Do not use Ruby’s “timeout” module
Instead, depend on libraries for the timeout
If you’re a library author, just use net/http’s timeout
2. Circuit Breaker
None
3. Bulkheads
A ship is divided into several water- tight compartments
In case there is a leakage in one section, water
doesn’t flood into other sections
Same principle!
Use resource pools
Use rate limiting
Consideration: Capacity
Bulkheading often conflicts increasing or variable capacity
Consideration: Performance
Bulkheading often results in slightly reduced performance
It’s worth it, trust me™
4. Fail fast
Remember guard clauses in Ruby?
# class Event def closest_event return unless self.location # …
# … end
Same principle!
Any Ruby libraries?
Not a lot :(
shopify/semian
Thank you!
Questions?
Swanand Pagnis Principal Engineer @ First
Swanand Pagnis @_swanand on Twitter
Swanand Pagnis @swanandp on GitHub