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Intro
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Distributed Systems in Production Jeff Hodges 2014-04
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Why you should listen to me
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Why you shouldn't listen to me
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Scale-invariant
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Building and running Distributed Systems
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Quick foundation
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What Makes Distributed Systems Different
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Garbage collection spiral on a single machine causes requests to timeout • A process is overloaded, so too many clients get stuck trying to connect to it, so it gets slower • Socket write succeeds lo…
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Partial Failure
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"It's slow" is the hardest problem you'll ever debug
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Metrics are the only way to get your job done.
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On profiling
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Deploys should change a metric
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Logs are liars
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Avoid coordination
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If your problem fits in memory, it's probably trivial
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Back-pressure
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Dropping new messages on the floor • Returning documented overload errors until the system clears • Timeouts and exponential back-offs
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Create partial availability
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Search
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Who to Follow in the monorail
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Consider a private messaging database
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Separating deploy from release
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Roll out infrastructure with feature flags
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Slow, dark rollouts
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Multiple versions are the norm
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Exploit data-locality
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Extract services
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Stricter boundaries means even less cheating
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Pulling out a service makes deploys easier
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Avoids human coordination costs that libraries require.
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SOA through standardization
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On-call rotations
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The Notorious E.O.C.
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Increasing the size of my thought leadership
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Robust distributed systems cost more than undistributed systems.
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Robust open source distributed systems are less common
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Collaboration is politics
Description:
Explore tactics and strategies for productionizing distributed systems in this comprehensive conference talk. Delve into the challenges and solutions for building and running distributed systems at scale, covering topics like partial failure, metrics, profiling, and deployment strategies. Learn about the importance of back-pressure, partial availability, and data locality in system design. Discover techniques for extracting services, implementing service-oriented architecture, and managing on-call rotations. Gain insights into the future of distributed systems and the costs associated with robust implementations. Understand the political aspects of collaboration in distributed systems development and the scarcity of robust open-source solutions.

Distributed Systems in Production: Tactics and Strategy - Lecture 32

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#Computer Science #Distributed Systems #Software Engineering #Scalability #Programming #Software Development #Reactive Programming #Back-Pressure
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Intro