Build your own garden poles and personalize your outdoor space.
Robot demos. Contribute to UbiquityRobotics/demos development by creating an account on GitHub.
Simultaneous localization and mapping using fiducial markers. - jrlandau/fiducials-1: Simultaneous localization and mapping using fiducial markers.
Schedule recurring or time-based jobs on Heroku with the Scheduler add-on or by implementing a custom clock process.
Simple, efficient background processing for Ruby. Contribute to mperham/sidekiq development by creating an account on GitHub.
Sucker Punch is a Ruby asynchronous processing library using concurrent-ruby, heavily influenced by Sidekiq and girl_friday. - brandonhilkert/sucker_punch: Sucker Punch is a Ruby asynchronous proce...
This article will teach you how background processing works as well as the alternatives the Ruby community offers to implement it in your application.
Some numbers about rendering times with different techniques
help to kill N+1 queries and unused eager loading. Contribute to flyerhzm/bullet development by creating an account on GitHub.
Learn to work with your local repositories on your computer and remote repositories hosted on GitHub.
A section from another robot that describes how to use aruco_detect
the calibration using opencv Aruco markers and CCalib
If you're using ROS on a Raspberry Pi board, check out those useful tips for making more robust, high-performance, and scalable robotics projects!
There are many ways to scale out your database; many of these techniques require advanced management and expensive add-ons or editions. Database sharding is a flexible way of scaling out a database. In this presentation, Jeremiah Peschka explains how to scale out using database sharding, covers basic techniques, and shares some of the pitfalls. This...
I’m increasingly encountering users on Heroku that are encountering the need to shard their data. For most users this is something you delay as long as possible as you can generally go for sometime before you have to worry about it. Additionally scaling up your database is often a reasonable approach early on and something I encourage as a starting point as scaling up is easy to do with regards to databases. However, for the 1% of users that do need to shard when the time comes many are left wondering where to start, hence the following guide.
OpiniDatabase sharding is the process of splitting up a database across multiple machines to improve the scalability of an application. The justification for database sharding is that after a certain scale point it is cheaper and more feasible to scale a site horizontally by adding more machines than to grow it vertically by adding beefier servers.
I’ve been programming since 1999. This year I’ve officially coded for 20+ years. I’ve started with Basic but soon jumped into Pascal and C…
