Design object storage (Amazon S3): the system design interview walkthrough
Design object storage (Amazon S3): the system design interview walkthrough The request to design object storage like Amazon S3 sounds like one line — put a file, get it back by name — and that one line hides the whole interview. Write a file to one disk and you reach for open() and write() ; store exabytes of immutable blobs at eleven nines of durability, under a flat bucket-and-key namespace,…
Designing object storage systems, such as Amazon S3, may initially seem simple - just store a file and retrieve it by name. However, this seemingly straightforward requirement masks a complex challenge that demands deep expertise in distributed storage systems. The task involves providing durable, highly available storage for data ranging from a few bytes to several terabytes, while handling massive write and read throughput across numerous buckets and clients.
The interview focuses on evaluating a candidate's ability to address the core problem - achieving durability and scalability while maintaining a flat namespace and handling large objects. To successfully navigate the system design interview, candidates must break down the problem into its fundamental components and then tackle each aspect systematically.
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