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

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking. C++ SOLUTION (Will Be Uploaded Later).

Java 214
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

I believe that all optimizing C/C++ compilers know how to pull this trick and it is generally beneficial irrespective of the processor’s architecture. It has now been worked out in a paper to appear in Software: Practice and Experience called Faster Remainder by Direct Computation. return n * c < = c - 1 ; }.

C++ 279
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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# code.

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How to evaluate modern APM solutions

Dynatrace

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Software Update License & Support (annual). $0. Oracle also offers many tools, but they are all available as add-on solutions with additional processor license and software update license costs and support fees. Objective C. Oracle Enterprise Edition. Single Database Edition Costs. $0. Clustering / Replication. $0.

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More fun with fast remainders when the divisor is a constant

Daniel Lemire

In software, compilers can often optimize away integer divisions, and replace them with cheaper instructions, especially when the divisor is a constant. As a benchmark, I am going to compute a linear congruential generator (basically a recursive linear function with a remainder thrown in), using these three approaches, plus the naive one.

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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

Querying the data While it is reasonable to create panels showing real-time load in order to explore better the types of queries that can be run against pg_stat_monitor, it is more practical to copy and query the data into tables after the benchmarking has completed its run. A script executing a benchmarking run: #!/bin/bash