Remove Benchmarking Remove Definition Remove Design Remove Efficiency
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20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

So, given a table_id, how do you get the table schema/definition? After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Old design (until Percona XtraBackup 8.0.33-27): New design (from Percona XtraBackup 8.0.33-28) ibd > t1.sdi

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How to evaluate modern APM solutions

Dynatrace

G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. ” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. Application performance insights.

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Why MySQL Could Be Slow With Large Tables

Percona

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

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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. What would the world’s most ideal, best practice and design research-driven highly legible serif, sans serif, and slab serif possibly be like? Thomas Bohm. More after jump!

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40+ Best Web Development Blogs of 2018

KeyCDN

Codrops Codrops features blogs with topics ranging from UI design and page animations to image formatting and general JavaScript practices. A List Apart A List Apart focuses on UX and branding from business and design-oriented perspectives. Topics include web design, security, web-based tools and workflows and more.

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Upcoming of the learned data structures

Abhishek Tiwari

This has far-reaching implications how future data systems and algorithms will be designed. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. Learned Bloom filters. What's next.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. One, by researching on the Internet; Two, by developing small programs and benchmarking. The legacy languages — be it ASM or C still rule in terms of performance.

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