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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Sebastian Burckhardt</author_name><author_url>https://www.microsoft.com/en-us/research/people/sburckha/</author_url><title>Principles of Eventual Consistency - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="p7P1jaXNKz"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/principles-of-eventual-consistency/"&gt;Principles of Eventual Consistency&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/principles-of-eventual-consistency/embed/#?secret=p7P1jaXNKz" width="600" height="338" title="&#x201C;Principles of Eventual Consistency&#x201D; &#x2014; Microsoft Research" data-secret="p7P1jaXNKz" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In globally distributed systems, shared state is never perfect. When communication is neither fast nor reliable, it is not possible to achieve strong consistency, low latency, and availability at the same time. Unfortunately, abandoning strong consistency has wide ramifications. Eventual consistency, though attractive from a performance viewpoint, is challenging to understand and reason about for [&hellip;]</description></oembed>
