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Fallacy #8: The network is homogeneous

Particular Software

Around 2005 or 2006, it wasn’t so bad. From Udi Dahan's free Distributed Systems Design Fundamentals video course Semantic interoperability The true challenge of non-homogenous networks lies in semantic interoperability. Interoperability is painful. Since then, things have gotten gradually worse. First came Ruby and Ruby on Rails.

Network 98
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It’s time to migrate from NAM to Dynatrace

Dynatrace

For two decades, Dynatrace NAM—Network Application Monitoring, formerly known as DC RUM—has been successfully monitoring the user experience of our customers’ enterprise applications. SNMP managed the costs of network links well, but not the sources of those costs (i.e., Dynatrace news. Performance has always mattered.

Network 166
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A Year of Ongoing Excellence for Apica

Apica

When Apica appointed me as its CEO earlier this year, I was excited about the potential — the potential of our technology to help our customers, and also the potential of our company in the market. Since our founding in 2005, Apica has made steady progress as our tech has matured, our offerings have broadened, and our team has grown.

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Rising Tide Rents and Robber Baron Rents

O'Reilly

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Then the cycle begins again with a new class of competitors, who are forced to explore new, disruptive technologies that reset the entire market.

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Web Performance Bookshelf

Rigor

These are the bestsellers in the web performance field, including the good old Speed Up Your Site (2003) by Andy King; Steve Souders’ Even Faster Web Sites (2009) ; Ilya Grigorik’s High Performance Browser Networking (2013) ; Tammy Everts’ Time is Money (2016) ; and a handful of more recent publications. Time is Money.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.