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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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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

Titus, the Netflix container management platform, is now open source,” [link] Apr 2018 - [Cutress 19] Dr. DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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The Back-to-Basics Readings of 2012 - All Things Distributed

All Things Distributed

Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Aug 24 - The Five-Minute Rule Ten Years Later, and Other Computer Storage Rules of Thumb , Jim Gray and Goetz Graefe, ACM SIGMOD Record 26 (4): 63â??68, Goetz Graefe, ACM Queue 6(4): 40-52 (2008).

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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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Minimal Logging with INSERT…SELECT into Empty Clustered Tables

SQL Performance

The calculated row size (61 bytes) differs from the true row storage size (60 bytes) by the extra one byte of internal metadata present in the insert stream. spt_values AS SV ; Plan Caching. The DMLRequestSort property is saved as part of the cached plan. Calculated data size = 61 bytes * 268 rows = 16,348 bytes. Trace Flag.

Cache 67
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The Lock Escalation Threshold – Part 1

SQL Performance

I happen to be using SQL Server 2019 CU16 but the details I’ll describe haven’t materially changed since partition level lock escalation was added to SQL Server 2008. SET NOCOUNT , XACT_ABORT ON ; -- Prevent plan caching for this procedure. -- See [link]. Let’s look at some examples using a fresh database. GOTO Start.