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Building Confidence in a Distributed System

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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2fQ3oLp. Sean T. Allen talks about the various means his team has come up with to create repeatable tests that allow them to start trusting that their system will give correct results, discussing how to combine repeatable programmatic fault injection, message tracing, and auditing to create a trustworthy system. Filmed at qconnewyork.com. Sean T. Allen is VP of Engineering at Sendence- a startup focused on high speed data analytics. He enjoys programming languages, distributed computing, Hiwatt amplifiers, and Fender Telecasters. He is one of the authors of Storm Applied.

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How Did I Get Here? Building Confidence in a Distributed Stream Processor
InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/ trust-distributed-systems
Presented at QCon New York www.qconnewyork.com Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide
Sean T. Allen
T
T
Experience Report
Stream Processor
Prototype Started January 2016
Prototype Started January 2016
Production Started April 2016
Production Started April 2016
America is all about speed. Hot, nasty, bad-ass speed. — Eleanor Roosevelt
High Throughput Buffy: Goals
Low Latency Buffy: Goals
Less Hardware Buffy: Goals
America is all about data quality. Quiet, demure data quality. — Andrew Jackson
High Fidelity Buffy: Goals
Stream Processing
Message at a time
Never ending
Failure
Machine Failure
Slow Machine
Segfaulting Process
GC Pause
Network Error
Failure Happens
Delivery Guarantees
At-Most-Once
At-Most-Once Best Effort
At-Least-Once
At-Least-Once ACK or resend
Exactly-Once
Exactly-Once At-Least-Once + Idempotence
Exactly-Once
Confidence
Black Box Testing
Black Box Testing
Black Box Testing
Black Box Testing
Black Box Testing
System Under Test Black Box Testing
Input Source Black Box Testing
Output Receiver Black Box Testing
Unit Testing because isn't enough Black Box Testing
Integration Testing because isn't enough Black Box Testing
composed components because have interesting new failure modes Black Box Testing
Test The Entire System Black Box Testing
Test The Entire System end to end Black Box Testing
Test The Entire System end to end Black Box Testing and verify your expectations
Wesley Expectation verification for Buffy
Wesley
Wesley Input
Wesley Output
Wesley Input Output
Input Source Wesley
Input Source Wesley Output Receiver
Wesley Input Source Records sent data 1,2,3,4
Wesley Input Source Records sent data Records received data 2,4,6,81,2,3,4 Output Receiver
Wesley
Wesley Analyze!
Wesley
Wesley
Wesley
Wesley
Wesley
Wesley
Wesley
Wesley
Wesley It Works!
Spike Fault injection for Buffy
Fault Injection
Lineage-driven fault injection
Start from a good result Spike: LDFI
Input Spike: LDFI
Output Spike: LDFI
Figure out what can go wrong Spike: LDFI
Nemesis Spike: LDFI Each "wrong" is a possible
The Network Spike: LDFI Our first nemesis:
Determinism is key Spike
Repeated runs with different results == Mostly Useless Spike
Spike
Spike Inject failures as informed by TCP
Spike TCP Guarantees:
Spike TCP Guarantees: Per connection in order delivery
Spike Per connection in order delivery Per connection duplicate detection TCP Guarantees:
Spike Per connection in order delivery Per connection duplicate detection Per connection retransmission of lost data TCP Guarantees:
TCP in Pony: Event Driven
TCP in Pony: Event Driven
TCP in Pony: Event Driven
TCP in Pony: Event Driven
TCP in Pony: Event Driven
Useless Notifier
Useless Notifier
Useless Notifier
Dropped Connections Nemesis #1:
Spike: Drop Connection
Spike: Drop Connection
Spike: Drop Connection
Spike: Drop Connection
Spike: Drop Connection
Spike: Drop Connection • Incoming connection accepted
Spike: Drop Connection • Incoming connection accepted • Attempting outgoing connection
Spike: Drop Connection • Incoming connection accepted • Attempting outgoing connection • Connection established
Spike: Drop Connection • Incoming connection accepted • Attempting outgoing connection • Connection established • Data sent
Spike: Drop Connection • Incoming connection accepted • Attempting outgoing connection • Connection established • Data sent • Data received
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
Integrating Spike "Double and Halve" app
• Easy to verify Integrating Spike "Double and Halve" app
• Easy to verify • Messages cross process boundary Integrating Spike "Double and Halve" app
• Easy to verify • Messages cross process boundary • Messages cross network boundary Integrating Spike "Double and Halve" app
Integrating Spike • Double and Halve App
Integrating Spike • Double and Halve App • No Spiking
Integrating Spike • Double and Halve App • No Spiking • Test, Test, Test
Integrating Spike • Double and Halve App • No Spiking • Test, Test, Test • Wesley: It passes! It passes! It passes!
Integrating Spike • Double and Halve App
Integrating Spike • Double and Halve App • Spike with “drop connection”
Integrating Spike • Double and Halve App • Spike with “drop connection” • Test, Test, Test
Integrating Spike • Double and Halve App • Spike with “drop connection” • Test, Test, Test • Wesley: It fails! It fails! It fails!
Integrating Spike
Integrating Spike == Session Recovery!
Integrating Spike • Double and Halve App
Integrating Spike • Double and Halve App • Spike with “drop connection”
Integrating Spike • Double and Halve App • Spike with “drop connection” • Test, Test, Test
Integrating Spike • Double and Halve App • Spike with “drop connection” • Test, Test, Test • Wesley: It passes! It passes! It passes!
Repeated runs with different results == Mostly Useless Spike
Determinism & Spike
It's easy to get wrong Determinism & Spike
Determinism & Spike TCP delivery is not deterministic
Determinism & Spike TCP guarantees: Per connection in order delivery
Determinism & Spike Per connection in order delivery Per connection duplicate detection TCP guarantees:
Determinism & Spike Per connection in order delivery Per connection duplicate detection Per connection retransmission of lost data TCP guarantees:
Determinism & Spike Per connection in order delivery Per connection duplicate detection Per connection retransmission of lost data but it doesn't guarantee determinism TCP guarantees:
Determinism & Spike TCP delivery is not deterministic
Determinism & Spike TCP delivery is not deterministic
Determinism & Spike TCP delivery is not deterministic
Determinism & Spike TCP delivery is not deterministicPer method call Spiking won't work
Determinism & Spike TCP delivery is not deterministicPer method call Spiking won't work unless we make it work…
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike TCP message framing
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect in action
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Expect makes received deterministic
Determinism & Spike Received gets called with
Determinism & Spike then…
Determinism & Spike and then another…
Determinism & Spike and finally…
Same number of notifier method calls Determinism & Spike no matter how the data arrives
Drop Connection & Expect fast deterministic friends Determinism & SpikeDeterminism & Spike
Slow Connections Nemesis #1:
Spike: Delay
Spike: Delay
Spike: Delay
Spike: Delay
Spike: Delay Delay overrides expect
Spike: Delay Delay overrides expect and controls the flow of bytes
Spike: Delay Delay overrides expect and controls the flow of bytes to maintain determinism
Spike: Delay
Spike: Delay
Spike: Delay
Spike: Delay
Spike: Delay r TCP Spike
Spike: Delay r TCP Spike
Spike: Delay r TCP Spike
Spike: Delay TCP
Spike: Delay TCP TCP Spike
Spike: Delay TCP TCP TCP Spike Spike
Early Results
Early Results • Bugs in Session Recovery Found…
Early Results • Bugs in Session Recovery • Bug in Pony standard library Found…
Early Results • Bugs in Session Recovery • Bug in Pony standard library • Bugs in Spike Found…
Early Results • Bugs in Session Recovery • Bug in Pony standard library • Bugs in Spike • And more bugs… Found…
Determinism is key Early Results Found…
Determinism is key Early Results but hard to achieve Found…
Data Lineage
WARNING!!! Vaporware ahead
Output Data Lineage How did I get here?
Output Data Lineage
Data Lineage Input: 1,2,3
Data Lineage Input: 1,2,3 Expect: 2,4,6
Data Lineage Input: 1,2,3 Expect: 2,4,6 Get: 4,6
Data Lineage Input: 1,2,3 Expect: 2,4,6 Get: 4,6 How did we get here? these are not our beautiful results
Data Lineage Input: 1,2,3
Data Lineage Input: 1,2,3 Expect: 2,4,6
Data Lineage Input: 1,2,3 Expect: 2,4,6 Get: 2,6,12
Data Lineage Input: 1,2,3 Expect: 2,4,6 Get: 2,6,12 ¯_( )_/¯
Data Lineage to the Rescue!
Data Lineage Externally verify determinism
Data Lineage Externally verify determinism is it REALLY deterministic?
Data Lineage Find incorrect executions
Data Lineage Find incorrect executions bugs in Buffy
Data Lineage Input: 1 Expected: 2 Got: 4 ¯_( )_/¯
Data Lineage Execution path was… when it should have been
Data Lineage when it should have been Execution path was…
Data Lineage Useful outside of development
Data Lineage Production Debugging
Data Lineage Production Debugging how did I get here?
Data Lineage Audit Log
Data Lineage Audit Log why did you do that?
Data Lineage Hindsight Machine
Building Confidence is difficult
and frustrating
Don't be this dog
Be this dog
Peter Alvaro http://www.cs.berkeley.edu/~palvaro/molly.pdf @palvaro https://www.youtube.com/watch?v=ggCffvKEJmQ Lineage-driven Fault Injection: Outwards from the Middle of the Maze:
Kyle Kingsbury https://aphyr.com/tags/Jepsen @aphyr Jepsen:
Will Wilson https://www.youtube.com/watch?v=4fFDFbi3toc Testing Distributed Systems w/ Deterministic Simulation:
Catie McCaffrey http://queue.acm.org/detail.cfm?ref=rss&id=2889274 @caitie The Verification of a Distributed System The Verification of a Distributed System: A practitioner's guide to increasing confidence in system correctness 2:55 PM Tomorrow in Salon E
Inés Sombra https://www.youtube.com/watch?v=KSdNYi55kjg Testing in a Distributed World: @randommood
http://principlesofchaos.org Principles of Chaos Engineering: Chaos Engineering
Thanks Peter Alvaro Sylvan Clebsch Zeeshan Lakhani John Mumm Rob Roland Andrew Turley
@SeanTAllen Note: The 'T' is very important
Watch the video with slide synchronization on InfoQ.com! https://www.infoq.com/presentations/trust- distributed-systems

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