#Availability
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System Design — Tips
A practical list of system design choices for scalability, availability, latency, and reliability, with examples showing when to use caches, queues, sharding, replication, and other patterns.
CAP Theorem for Databases: Consistency, Availability & Partition Tolerance
The page explains CAP as a tradeoff in distributed databases: under network failure, a system can prioritize consistency or availability, while partition tolerance is required. It also links the choice to database types and use cases.
The Death of the SLA
The article argues that negotiating cloud SLAs is a waste of time because providers already focus on availability, penalties are limited, and the legal approach distracts from technical design for failure.