On Amazon’s EC2, using EBS as the backend storage for your application has been the de-facto standard. Using the local storage of an EC2 container is risky: data loss occurs when a container is stopped and it is not replicated by default. As such, people should default to using EBS, which is Amazon’s version of […]
This is an opinionated post about five libraries we use in the production code of quasardb.
One of the cool thing about C++ is all these checks you can do at compile time. With compile time checks you can not only write safer code, but also faster code for the simple reason that alls the checks you do at compile time will not have to be done at runtime.
The stabilization algorithm – quasardb is a distributed, peer-to-peer database based on the Chord Algorithm. It is actually much more than that, but for the purpose of this post we will focus on the Chord algorithm and one fundamental process: stabilization.
Getting your hands on quasardb has never been that easy. With just a few mouse clicks you can deploy your own quasardb server in Microsoft Azure.
Many Boost.Filesystem functions and methods (and the pattern also exists in Boost.Asio) will throw a boost::system::error_code in case of error, and sometimes it is not as obvious as you might expect, case in point:
