Open Source Linux Performance Testing Software - Page 2
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Performance Testing Software for Linux
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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SPL Tools
Stochastic Performance Logic testing tools and utilities.
Stochastic Performance Logic (SPL) serves for capturing performance assumptions. With SPL, it is possible to annotate Java functions with assumptions stating, for example, that the annotated function is at most three times slower than array copying. The assumption is then checked at build time in a similar way as standard unit testing. In other words, SPL is about introducing performance assert(). The advantage of SPL in comparison with other similar solutions includes following. SPL formulas uses well-defined logic and statistically sound testing (such as t-test). Next, SPL is aimed at automatic evaluation. And finally, SPL formulas uses relative comparisons (opposed to comparing against fixed time) to provide better portability. -
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In order to assure software performance, software needs to be tested accordingly as early as possible - only weaknesses diagnosed early can be assessed quickly and cheaply. ContiPerf enables performance testing already in early development phases and in an easy-to-learn manner: A developer writes a performance test in form of a JUnit 4 test case and adds performance test execution settings as well as performance requirements in form of Java annotations. When JUnit is invoked by an IDE, build script or build server, ContiPerf activates, performs the tests and creates an HTML report. The report provides a detailed overview of execution, requirements and measurements, even providing a latency distribution chart. A large feature set for execution settings and performance requirements is available, e.g. Ramp up, warm up, individual pause timing, concurrent exection of test groups and more.
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Boest is an application for stress testing an SAP BusinessObjects Enterprise deployment. It launches a series of tests in parallel from which we can measure performance of the BOE system
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Poor Man's Timing And Profiling
Library tools to collect timing in Java, C, C++
A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format. -
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Tool for testing Web Map Services. It allows to run general random tests of WMS and test based on user-like behaviour.
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miniperf
Perfmon PMU Collecting tool
command line based tool to collect Perfmon Counting data from Hardware PMU C ounters on Intel x86 processors Supported Platforms <> Server - Intel 5th Gen Xeon Processor (Emerald Rapids) -> Core (Raptor Cove) - Intel 4th Gen Xeon Processor (Sapphire Rapids) -> Core (Golden Cove) -> CHA <> Client - Intel 14th Gen Client Processor (Meteorlake) -> P-CORE (Redwood Cove) -> E-CORE (Crestmont) - Intel 13th Gen Client Processor (Raptorlake) -> P-CORE (Raptor Cove) -> E-CORE (Gracemont) -> ARB - Intel 12th Gen Client Processor (Alderlake) -> P-CORE (Golden Cove) -> E-CORE (Gracemont) -> ARB -
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perftence
A fluent language to write perftences
Performance test engine written in Java and exposed as a fluent API for writing JUnit tests. Perftence can also be used without JUnit by using perftence-api distribution package. Full test results are provided in html, which can published directly with different CI's (e.g. Jenkins/Hudson). Runtime test statistics are also provided through logging (e.g. using slf4j-log4j and log4j). Pertence tool can also be used for finding out threading issues. Just write a test that uses the component you need to test for threading issues and assign load of threads to the test. Thanks to my employer (Nokia) for letting me publish the initial version of this tool as open-source! -
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Reads a PostgreSQL database log file, extracts the SQL statements and executes them in the same order and timing against another database server. Useful for performance tests with real-world workload.
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tcpcopy
A network traffic replay tool targeted to servers
An online request replication tool, also a network traffic replay tool, fit for real testing, performance testing, stability testing, stress testing, load testing, smoke testing, etc -
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AWK Statistics
awkStatistics generates statistics from csv-data with awk.
AwkStatistics is a script which is used to generate statistical data for csv data by using awk. It takes two columns from the input file, one is used to identify the row(option -i) and the other one is the column where the values are taken from (option -v). The script was designed for performance engineers to be able to analyze CSV-Data on the fly and have a good possibility to automate the analysis process. -
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A simple program evaluating algorithms from sources files using well known and established tools. The goal is to provide nice and clean reports on everything related to algorithms and loops, so minor and / or major changes during the final phase of a project can be easily compared without additional effort, or testing environments. This is a project for a research-paper during my studies, and make no claims regarding it's on completion or usefulness at this time. Thank you.
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ApproxAdderLib
Library of Approximate Adders
We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. These MATALB and Verilog models can allow software programmer as well as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan. -
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BP-Sim
EFT simulator
BP-Sim allows users to perform an extensive range of tests across the chain of payment services and thus identify potential causes of failures before launching payment systems into production. BP-Sim consists of following modules: BP-Source, BP-Host, BP-HSM and BP-SeeEMV. BP-Source and BP-Host are payment transaction simulators supporting formats as: APACS30, AS2805, many ISO8583 dialects, IFSF, SPDH, TCMP. Together with industry-standard cryptography, multi-platform support, configurable transaction load up to 2000 TPS. BP-Sim HSM module provides an adequate TCP/IP simulation of the Thales Hardware Security Mod. BP-SeeEMV simulates the steps involved in an EMV transaction that take place in the EMV terminal and the Issuer Server (when conducted online). Module can process a transaction one step at a time in step-by-step mode or to certain break-point. -
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This is a simple, modular PHP class designed to record execution time benchmarks throughout different parts of a script. Compatible with virtually any PHP script, the code can be added/removed quickly and with ease. Accurate to the microsecond.
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BigCache
Efficient cache for gigabytes of data written in Go
To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases. -
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Blackfire Player
Web Crawling, Web Testing, and Web Scraping application
Blackfire Player is a powerful Web Crawling, Web Testing, and Web Scraper application. It provides a nice DSL to crawl HTTP services, assert responses, and extract data from HTML/XML/JSON responses. Some Blackfire Player use cases: Crawl a website/API and check expectations -- aka Acceptance Tests; Scrape a website/API and extract values; Monitor a website; Test code with unit test integration (PHPUnit, Behat, Codeception, ...); Test code behavior from the outside thanks to the native Blackfire Profiler integration -- aka Unit Tests from the HTTP layer (tm). Blackfire Player executes scenarios written in a special DSL (files should end with .bkf). -
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Bundlesize
Keep your bundle size in check
Add it to your scripts in package.json. Or you can use it with npx from NPM 5.2+. bundlesize accepts an array of files to check. You can give a different file by using the --config flag. If the names of your build files are not predictable, you can use the glob pattern to specify files. This is common if you append a hash to the name or use a tool like create-react-app/nextjs. It will match multiple files if necessary and create a new row for each file. By default, bundlesize gzips your build files before comparing. -
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CAT
CAT is the basic component of the server project
CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be traced end-to-end. Alert rules and anomaly detection can be defined to notify teams proactively. The system supports multiple data backends and ingestion pipelines to collect data from JVM, C/C++, Python, and other ecosystems. With the collected data, Cat supports analysis of hotspots, trending anomalies, and capacity planning to drive continuous reliability improvements. -
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Java app. to utilise (waste) as much CPU as it can. The application allows the user to create multiple Java threads, each performing a CPU-intensive task tasks with a selectable memory footprint. The options let you 'thrash' the aspect you want.
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Celero
C++ Benchmarking Library
This project is now maintained at GitHub: https://github.com/DigitalInBlue/Celero Celero is a cross-platform open source C++ benchmarking library. Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions. -
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Centurion
Simple and powerful tool for benchmarking your code's efficiency
Centurion is a very simple and powerful tool for benchmarking your code's efficiency. How to use it: var my_centurion = new centurion(); Centurion API namespaces: .benchmark - Do a benchmark .status - Check status of benchamark. To see the full API under the namespaces do: "console.log(my_centurion);" Enjoy! -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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Clinic.js
Clinic.js diagnoses your Node.js performance issues
Node Clinic is a suite of diagnostic tools for Node.js applications, designed to help developers identify and resolve performance issues, memory leaks, and other common problems in their code. -
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Conductor is a Java based, multi-user platform for product agnostic testing. It runs under a web server, contains a UI for test configuration, and contains an optional thin test client.
