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

All Things Distributed

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. and we needed the low cost with high reliability that wasn’t readily available in storage solutions.

Ecommerce 216
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Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. For example, in 2005, Dynatrace introduced a distributed tracing tool that allowed developers to implement local tracing and debugging. Observability is made up of three key pillars: metrics, logs, and traces.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

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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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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

As ​​ the ​​ administrator of a SQL Server 2005 installation, ​​ you will find that ​​ visibility into ​​ the ​​ SQL Server ​​ I/O ​​ subsystem ​​ has been ​​ significantly increased.

Servers 40