Personal tools
Skip to content. | Skip to navigation
This package contains the XML files that describe the menu layout for GNOME and KDE, and the .desktop files that define the names and icons of "subdirectories" in the menus.
Red Hat Typeface is a fresh take on the geometric sans genre, taking inspiration from a range of American sans serifs including Tempo and Highway Gothic. The Display styles, made for headlines and big statements, are low contrast and spaced tightly, with a large x-height and open counters. The Text styles have a slightly smaller x-height and narrower width for better legibility, are spaced more generously, and have thinned joins for better performance at small sizes. The Mono styles are similar to the Text styles, but are adapted for better performance to render code and similar text. The three families can be used together seamlessly at a range of sizes. The fonts were originally commissioned by Paula Scher / Pentagram and designed by Jeremy Mickel / MCKL for the new Red Hat identity. This package provides the Monospace fonts variant.
Red Hat specific rpm configuration files.
Red Hat Typeface is a fresh take on the geometric sans genre, taking inspiration from a range of American sans serifs including Tempo and Highway Gothic. The Display styles, made for headlines and big statements, are low contrast and spaced tightly, with a large x-height and open counters. The Text styles have a slightly smaller x-height and narrower width for better legibility, are spaced more generously, and have thinned joins for better performance at small sizes. The Mono styles are similar to the Text styles, but are adapted for better performance to render code and similar text. The three families can be used together seamlessly at a range of sizes. The fonts were originally commissioned by Paula Scher / Pentagram and designed by Jeremy Mickel / MCKL for the new Red Hat identity. This package provides the Text fonts variant.
Redis is an advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets. You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set. In order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on your use case, you can persist it either by dumping the dataset to disk every once in a while, or by appending each command to a log. Redis also supports trivial-to-setup master-slave replication, with very fast non-blocking first synchronization, auto-reconnection on net split and so forth. Other features include Transactions, Pub/Sub, Lua scripting, Keys with a limited time-to-live, and configuration settings to make Redis behave like a cache. You can use Redis from most programming languages also.