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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. Using advanced causal AI and context-aware decision-making, it identifies the root cause behind server failures.

DevOps 220
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The Netflix Cosmos Platform

The Netflix TechBlog

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007.

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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Benchmark before you decide.

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Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

In 2007, we opened our first AWS Region in Ireland and since then have opened additional regions, in Germany and the UK, with France still to come. This enables customers to serve content to their end users with low latency, giving them the best application experience. However, we do not plan to slow down and we are not stopping there.

AWS 116
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 128
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How To Measure the Working Set Size on Linux

Brendan Gregg

Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks). I just wrote [wss.pl] as a front-end to this feature. seconds (100 milliseconds): #./wss.pl

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How To Measure the Working Set Size on Linux

Brendan Gregg

Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 My tool does this using /proc/PID/clear_refs and the Referenced value from /proc/PID/smaps, which were added in 2007 by David Rientjes (thanks). I just wrote [wss.pl] as a front-end to this feature. seconds (100 milliseconds): #./wss.pl

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