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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

MySQL DigitalOcean Performance Benchmark. In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Throughput.

Database 217
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Comparisons of Proxies for MySQL

Percona

In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. This is due to the multiplexing and the very efficient way ProxySQL uses to deal with high load. HAProxy always stays below 50% CPU, no matter the increasing number of threads/connections, scaling the load very efficiently.

Games 119
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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. Most of us, as we spend years in our jobs — tend to be proficient in at least one of these.

Java 214
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130
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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

This separation aims to streamline transaction write logging, improving efficiency and consistency. It becomes more manageable and efficient by isolating logs and data to a dedicated mount. Benchmarking AWS RDS DLV setup Setup 2 RDS Single DB instances 1 EC2 Instance Regular DLV Enabled Sysbench db.m6i.2xlarge

AWS 94
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

In some instances, libdivide can even be more efficient than compilers because it uses an approach introduced by Robison (2005) where we not only use multiplications and shifts, but also an addition to avoid arithmetic overflows. We also published our benchmarks for research purposes. I make my benchmarking code available.

C++ 279
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2022 in review: New dashboards, Core Web Vitals enhancements, third-party tracking & more!

Speed Curve

we also: Launched a series of new and improved dashboards to help you identify and fix your performance issues more quickly and efficiently (More on those below.). Your current competitive benchmarks status. With your RUM Compare dashboard , you can easily generate side-by-side comparisons for any two cohorts of real user data.