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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

This post was originally published in July 2018 and was updated in July 2023. It also supports auto-scaling of compute and storage resources, dynamically adjusting capacity based on chosen utilization thresholds to optimize performance and costs. What are the differences between Aurora and RDS? How do I choose which one to use?

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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Storage provisioning. Performance.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . HammerDB difference from Sysbench. c_ytd_payment: 10.00 7 rows in set (0.00 7 rows in set (0.00

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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. India became a 4G-centric market sometime in 2018. The Moto G4 , for example. 2] Getting accurate global information that isn't artificially reduced to averages remains an ongoing challenge.

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

Budgets are scaled to a benchmark network & device. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Deciding what benchmark to use for a performance budget is crucial. Performance budgets are set early in the life of the project. 400Kbps transfer.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Globally in 2018–2019, according to the IDC, 87% of all shipped mobile phones are Android devices. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. Consider using PRPL pattern and app shell architecture. Use progressive enhancement as a default. Baseline performance cost matters.

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Front-End Performance Checklist 2021

Smashing Magazine

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015. Large preview ).