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Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

Back then, Amazon was ~2% of its size today, and was growing faster than traditional IT systems could support. We had to rethink everything previously known about building scalable systems. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business.

Ecommerce 216
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Back-to-Basics Weekend Reading - A Decomposition Storage Model

All Things Distributed

Not everybody agreed that the "N-ary Storage Model" (NSM) was the best approach for all workloads but it stayed dominant until hardware constraints, especially on caches, forced the community to revisit some of the alternatives. A Decomposition Storage Model , George P. Copeland and Setrag N.

Storage 90
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126
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Observability platform vs. observability tools

Dynatrace

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked even if the system crashes.” – [link]. The Back Story.

Servers 90