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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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Finding Distinct Values Quickly

SQL Performance

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). The structure of a b-tree index makes finding the next highest value very efficient — there is no need to scan through the duplicates. Test Environment.

Servers 86
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 225
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Measuring The Performance Of Typefaces For Users (Part 1)

Smashing Magazine

Our focus is on typefaces for reading large amounts of text and information in the most efficient, legible, pleasurable, comprehensible, and effective way possible. Stay tuned! Measuring The Performance Of Typefaces For Users (Part 1). Thomas Bohm. 2022-06-03T10:00:00+00:00. 2022-06-03T14:03:11+00:00.

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Structural Evolutions in Data

O'Reilly

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Other groups have tested evolutionary algorithms in drug discovery.

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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. It's the official profiler. Many new tools can now be written, and the main toolkit we're working on is [bcc].

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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?? ?