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Optimizing String Comparisons in Go

DZone

Optimizing string comparisons in Go can improve your application’s response time and help scalability. Comparing two strings to see if they’re equal takes processing power, but not all comparisons are the same. In a previous article, we looked at How to compare strings in Go and did some benchmarking.

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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL Azure Performance Benchmark. In this benchmark report, we compare MySQL hosting on Azure at ScaleGrid vs. Azure Database for MySQL across these three workload scenarios: Read-Intensive Workload: 80% reads and 20% writes. Benchmark configurations. Just getting started? MySQL Read-Intensive Performance.

Azure 299
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Hyperlambda is twice as fast as Entity Framework

DZone

Needless to say of course, but this was a ridiculous comparison, since no (sane) human being would put that much business logic into stored procedures. When we do benchmarks, it's important that we measure best practices, and typical usage.

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2023 Black Friday and Cyber Monday retail and e-commerce IT performance observations

Dynatrace

Social media was relatively quiet, and as always, the Dynatrace Insights team was benchmarking key retailer home pages from mobile and desktop perspectives. For example, this year I was doing comparisons of headphones to purchase. The site I was using to do a side-by-side comparison had an issue with loading in my mobile browser.

Retail 225
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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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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. Using data from Dynatrace and its SLO wizard , teams can easily benchmark meaningful, user-based reliability measurements and establish error budgets to implement SLOs that meet business objectives and drive greater DevOps automation.

Software 268
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.