Meta Production & Systems Engineer Pack

Massive-scale asynchronous systems, Memcached/TAO graph caching, cache stampede mitigation, and outage survival.

Meta operates the largest distributed caching and social graph infrastructure on the planet. Meta backend rounds rigorously evaluate your understanding of asynchronous runtime concurrency, distributed cache invalidation, cache stampede mitigation (leases and probabilistic expiration), high-frequency write buffers, and surviving datacenter network partitions.

Target AudienceEngineers interviewing for Meta Software Engineer (E4/E5/E6) Product Foundation, Core Systems, or Production Engineering.

Targeted Companies

MetaInstagramWhatsAppFacebook

3-4 WeeksPlan Duration

2Curriculum Modules

11Curated Questions

4Milestones

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Structured Syllabus

Curriculum Modules (Preview Mode)

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Distributed Graph Caching & Cache Invalidation

Free Preview

Meta TAO graph caching, Memcached lease tokens, and cache-aside mechanics.

~8h

Target Competency & Objective:Design large-scale distributed caching layers that serve billions of read queries per second while maintaining strict cache consistency across write events.

Core Technical Concepts Tested

Meta TAO architecture: Objects (nodes) and Associations (edges) caching layerMemcached Lease Tokens: mitigating stale reads and stampedes during cache missesCache Invalidation vs Cache Expiration: why invalidation after DB write causes race conditionsRead-through, Write-through, and Write-behind caching trade-offs

What Fails in Production (Triage Scenarios):

Cache stampede: 100,000 queries hit MySQL simultaneously when a celebrity post key expires
Stale cache write: an out-of-order asynchronous cache write overwrites a newer DB update
Cache invalidation storm consuming all available network bandwidth after bulk updates

Curated Questions (2)

How would you process thousands of asynchronous tasks while limiting concurrency and memory consumption?

8 min readAdvanced

How does Node.js module caching work, and how can it affect application state?

6 min readIntermediate

Deep-Dive Architectural Guide

The Ultimate Backend System Design Interview Guide

18 min read

Module Milestones (0 / 2)

High-Concurrency Async Execution & Memory Leak Triage

V8/Python event loops, Libuv threadpools, heap dump inspection, and GC pauses.

~8h

Module 02 Content is Locked

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Module Outline

01. Distributed Graph Caching & Cache InvalidationPreview 02. High-Concurrency Async Execution & Memory Leak TriageLocked

Specific Pack Deliverables

Mastery of high-concurrency asynchronous event loop runtimes under load
Distributed caching architectures at billion-request scale (TAO & Memcached leases)
Eliminating cache stampedes (dog-piling) using probabilistic early expiration and mutexes
Graceful degradation and write-buffering during partial datacenter outages

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