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Transparent Huge Pages Refresher

Percona

While THP can be beneficial for many applications, enabling it on a database server could have unintended consequences. In this post, we will explore THP, its impact on database servers, and how to disable it for optimal performance and stability. The concept of HugePages in Linux has existed for many years, first introduced in 2007.

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Is MongoDB Open Source? Is Planet Earth Flat?

Percona

Whereas many open source software offerings — like the community version of MySQL — use the GNU General Public License ( GPL ), MongoDB has been under the GNU Affero General Public License ( AGPL ) and more recently under the Server Side Public License ( SSPL ), introduced by MongoDB itself. Is MongoDB free to use?

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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.

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How To Measure the Working Set Size on Linux

Brendan Gregg

OSes usually show you virtual memory and resident memory, shown as the "VIRT" and "RES" columns in top. Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 That's the working set size. It is used for capacity planning and scalability analysis. seconds (100 milliseconds): #./wss.pl

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How To Measure the Working Set Size on Linux

Brendan Gregg

OSes usually show you virtual memory and resident memory, shown as the "VIRT" and "RES" columns in top. Here is a MySQL database server (mysqld), PID 423, and measuring its working set size for 0.1 That's the working set size. It is used for capacity planning and scalability analysis. seconds (100 milliseconds): #./wss.pl

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Transforming enterprise integration with reactive streams

O'Reilly Software

WebServices, unfortunately, failed to deliver on the distributed systems front by having virtually all implementations using synchronous/blocking calls—which we all know is a recipe for scaling disaster. Schema evolution practices were rarely in place. Furthermore, the deployment tooling was not ready for SOA.