AWS Storage with Kevin Miller

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A software application requires compute and storage.

Both compute and storage have been abstracted into cloud tools that can be used by developers to build highly available distributed systems. In our previous episode, we explored the compute side. In today’s episode we discuss storage.

Application developers store data in a variety of abstractions. In-memory caches allow for fast lookups. Relational databases allow for efficient retrieval of well-structured tables. NoSQL databases allow for retrieval of documents that may have a less defined schema. File storage systems allow the access pattern of nested file systems, like on your laptop. Distributed object storage systems allow for highly durable storage of any data type.

Amazon S3 is a distributed object storage system with a wide spectrum of use cases. S3 is used for media file storage, archiving of log files, and data lake applications. S3 functionality has increased over the years, developing different tiers of data retrieval latency and cost structure. AWS S3 Glacier allows for long-term storage of data at a large cost reduction, in exchange for increased latency of data access.

Kevin Miller is the general manager of Amazon Glacier at Amazon Web Services. He joins the show to talk about the history of storage, the different options for storage in the cloud, and the design of S3 Glacier.

Transcript

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