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How To Reduce the Costs of Database Management in Financial Services

Percona

During the recession of 2008, they experienced firsthand how fast money and assets can vanish. Below, we outline some proactive steps for achieving cost efficiency and maintaining performant database environments amid a turbulent economy: 1. Here we are, with an economic downturn looming globally and some countries facing a recession.

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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. [link] 2021 - [Trader 21] Tiffany Trader, “Cerebras Second-Gen 7nm Wafer Scale Engine Doubles AI Performance Over First-Gen Chip ,” [link] Apr 2021 - [Ghigoff 21] Yoann Ghigoff, et al., "BMC:

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets. What is MariaDB?

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

The Morning Paper

While different systems require different features from a storage backend, two of these features, (1) efficient transactions and (2) fast metadata operations appear to be common; another emerging requirement is (3) support for novel, backward-incompatible storage hardware. Implementing transactions efficiently.

Storage 64
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Finding Distinct Values Quickly

SQL Performance

It comes set to SQL Server 2008 compatibility (level 100), but we will start with a more modern setting of SQL Server 2017 (level 140): ALTER DATABASE StackOverflow2013 SET COMPATIBILITY_LEVEL = 140 ; The tests were performed on my laptop using SQL Server 2019 CU 2. The Sort only has 19 rows to process, so it consumes only 1ms or so.

Servers 86
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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. Goetz Graefe, ACM Queue 6(4): 40-52 (2008). Sep 21 - Leases: An Efficient Fault-Tolerant Mechanism for Distributed File Cache Consistency , Cary G. Nijssen ed., North Holland Pub.,

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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?