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File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

MariaDB is a popular SQL open source relational database management system that originated as a fork of MySQL after MySQL was acquired by Sun Microsystems in 2008 and later Oracle in 2010. Some key features and functionalities of MySQL include: Support for multiple storage engines, allowing users to choose what is suitable for their needs.

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Structural Evolutions in Data

O'Reilly

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

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Solaris to Linux Migration 2017

Brendan Gregg

Nowadays, there are three built-in tracers that you should know about: - **ftrace**: since 2008, this serves many tracing needs, and has been enhanced recently with hist triggers for custom histograms. Hit Ctrl-C to end. ^C Appliance manufacturers hire kernel engineers to develop custom features, including storage appliances.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?