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Moved to git repository: https://github.com/aliesbelik/load-testing-toolkit
Tools to benchmark & load-test your code or services
- apachebench (ab) - Standalone apachebench (ab), Apache HTTP server benchmarking tool.
C
- httperf - A tool for measuring web server performance.
C
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#!/usr/bin/python2 | |
##### | |
# | |
# Description | |
# ----------- | |
# | |
# This is an Ansible dynamic inventory script that reads any Ansible hosts file | |
# and transforms it into the JSON data structure. | |
# |
This is a Cheat Sheet for interacting with the Mongo Shell ( mongo on your command line). This is for MongoDB Community Edition.
Mongo Manual can help you with getting started using the Shell.
FAQ for MongoDB Fundamentals and other FAQs can be found in the side-bar after visiting that link.
Jon Warbrick, July 2014, V3.2 (for Ansible 1.7)
First one found from of
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object ArgMinMax { | |
import scala.reflect.ClassTag | |
def argmin[X: ClassTag, Y <% Ordered[Y] : ClassTag](n: Iterable[X], f: X => Y): X = { | |
val (argmin: X, min: Y) = n.tail.fold((n.head, f(n.head))) { case ((a: X, m: Y), x: X) => | |
val fOfx: Y = f(x) | |
if (fOfx < m) (x, fOfx) else (a, m) | |
} | |
return argmin | |
} |
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t