Arpit Bhayani

Channel focused on system design and backend engineering with an emphasis on databases and scalability. Regular videos analyze database architecture, migrations, consistency strategies, and performance optimizations (e.g., sharding, rate limiting, storage‑compute separation), often using case studies from companies like Stripe, GitHub, and Amazon and deep dives into research papers and internals.

Channel stats

Calculated from videos published in the last 12 months

1 video every 30 days
Publishing pace
Irregular
Publishing regularity
15 min
Average video duration
15 min
Published time per month

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Latest videos

How Databases Implement Graceful Shutdown using Signal Handling | Redis Internals
June 6, 2026
How and Why Redis Overrides Malloc | Redis Internals
May 31, 2026
How Redis Caps Its Memory Usage | Redis Internals
May 30, 2026
Implementing the Approximated LRU Algorithm | Redis Internals
May 24, 2026
The Approximated LRU Algorithm | Redis Internals
May 23, 2026
Implementing INFO and allkeys-random Eviction | Redis Internals
May 22, 2026
Object, Encodings, and Implementing INCR | Redis Internals
May 16, 2026
Implementing AOF Persistence | Redis Internals
May 10, 2026
Implementing Command Pipelining | Redis Internals
May 9, 2026
Key Eviction Strategies in Redis and Implementing Simple First Eviction | Redis Internals
May 3, 2026