RHEL

This article guides you through your first XDP program, building a working example from zero and allowing you to build a light-speed network application from there. With an XDP program, you can achieve unprecedented speed in packet filtering, because a modern driver with XDP support can easily handle more than 14 Mpps.

See how eBPF, extended Berkeley Packet Filter, can be a very powerful tool to troubleshoot complex network issues. Available now in RHEL 8 Beta.

Containers can be simple. Learn how to run MariaDB, Apache HTTPD, and WordPress in containers, managed through systemd and systemctl.

Of course RHEL 8 has Python, both Python 3 and 2. Changes in RHEL 8 such as platform python and application streams improve the Python experience in RHEL.

An overview of the current nsswitch.conf behavior and a request for input on the future behavior of the name services switch interface in glibc.

Red Hat has recently released Clang/LLVM, Go, and Rust as General Availability. This article covers the support lifecycle and release cadence for these compilers.

To install Python, type `yum install python3`. To run Python, type `python3`. What you need to know for using Python in RHEL 8.

Red Hat Enterprise Linux's sosreport improves the ability to get support. The Azure plugin has been updated with new features for RHEL on Azure.

Reduce SystemTap start up time using the new syscall_any tapset. You can easily instrument all system calls to see what's called and the return values.

What you need to know to migrate from Oracle JDK to OpenJDK on RHEL, the impact to developers and ops teams, and solutions to potential challenges.

For some SystemTap instrumentation scripts, the startup times are too long. This article describes how to analyze and reduce SystemTap's startup costs for scripts.

Get an introduction to Linux virtual interfaces, including commonly used interfaces, when to use them, and how to create them.

Podman is an alternative to the Docker command-line interface that lets you run standalone, daemonless containers. See examples of how easy it is to use Podman.

Everything you need to install Python and related utilities on Red Hat Enterprise Linux 7, 8, and 9. Includes Python tips and FAQs.

Clang tools and newer versions of GCC can be quite helpful for better warnings and error messages during C/C++ development. This article shows how you can easily install the latest supported Clang 5 and GCC 7 compilers using yum on Red Hat Enterprise Linux. It also provides tips for working with software collections.

If you need to build some Python-based microservices, one way to do it is to install Python in a Red Hat Enterprise Linux virtual machine and use Flask, a microframework that makes building RESTful services easy.

Reviewing source code can be helpful in understanding how code works, but the static view may not give you a complete picture. The paths taken through code are heavily data dependent. Learn how to use Systemtap and debuginfo to dig into the Ruby interpreter internals on Red Hat Enterprise Linux 7.

If you're running Red Hat Enterprise Linux server on Microsoft Azure, you may want to shut down and deallocate the VM using commands inside of the VM itself for automation or just for convenience. This article shows how a VM can shut itself down and deallocate its resources using the Azure CLI 2.0.

In a few weeks, the Fast Datapath Production channel will update the Open vSwitch version from the 2.7 series to the 2.9 series. This is an important change, a wealth of new features and fixes all related to packet movement will come into play.

This article covers how to calculate how much huge page memory is needed with Open vSwitch-DPDK? In order to maximize performance of the Open vSwitch DPDK datapath, it pre-allocates hugepage memory. As a user you are need to say how much.

This article summarizes work that was done to make GCC 8 more usable by providing easier to understand warning and error messages. Many of these improvements will help you quickly recognize those common silly mistakes.

It is deceptively simple to get started with Linux Containers, but how well do you really understand the underlying technology? Could you explain the architectural trade offs of container hosts, images, and application definitions within Kubernetes? This article is intended to help you build that knowledge.