Language Selection

English French German Italian Portuguese Spanish

IBM/Red Hat and Intel Leftovers

Filed under
GNU
Linux
Red Hat
Hardware
  • Troubleshooting Red Hat OpenShift applications with throwaway containers

    Imagine this scenario: Your cool microservice works fine from your local machine but fails when deployed into your Red Hat OpenShift cluster. You cannot see anything wrong with the code or anything wrong in your services, configuration maps, secrets, and other resources. But, you know something is not right. How do you look at things from the same perspective as your containerized application? How do you compare the runtime environment from your local application with the one from your container?

    If you performed your due diligence, you wrote unit tests. There are no hard-coded configurations or hidden assumptions about the runtime environment. The cause should be related to the configuration your application receives inside OpenShift. Is it time to run your app under a step-by-step debugger or add tons of logging statements to your code?

    We’ll show how two features of the OpenShift command-line client can help: the oc run and oc debug commands.

  • What piece of advice had the greatest impact on your career?

    I love learning the what, why, and how of new open source projects, especially when they gain popularity in the DevOps space. Classification as a "DevOps technology" tends to mean scalable, collaborative systems that go across a broad range of challenges—from message bus to monitoring and back again. There is always something new to explore, install, spin up, and explore.

  • How DevOps is like auto racing

    When I talk about desired outcomes or answer a question about where to get started with any part of a DevOps initiative, I like to mention NASCAR or Formula 1 racing. Crew chiefs for these race teams have a goal: finish in the best place possible with the resources available while overcoming the adversity thrown at you. If the team feels capable, the goal gets moved up a series of levels to holding a trophy at the end of the race.

    To achieve their goals, race teams don’t think from start to finish; they flip the table to look at the race from the end goal to the beginning. They set a goal, a stretch goal, and then work backward from that goal to determine how to get there. Work is delegated to team members to push toward the objectives that will get the team to the desired outcome.

    [...]

    Race teams practice pit stops all week before the race. They do weight training and cardio programs to stay physically ready for the grueling conditions of race day. They are continually collaborating to address any issue that comes up. Software teams should also practice software releases often. If safety systems are in place and practice runs have been going well, they can release to production more frequently. Speed makes things safer in this mindset. It’s not about doing the “right” thing; it’s about addressing as many blockers to the desired outcome (goal) as possible and then collaborating and adjusting based on the real-time feedback that’s observed. Expecting anomalies and working to improve quality and minimize the impact of those anomalies is the expectation of everyone in a DevOps world.

  • Deep Learning Reference Stack v4.0 Now Available

    Artificial Intelligence (AI) continues to represent one of the biggest transformations underway, promising to impact everything from the devices we use to cloud technologies, and reshape infrastructure, even entire industries. Intel is committed to advancing the Deep Learning (DL) workloads that power AI by accelerating enterprise and ecosystem development.

    From our extensive work developing AI solutions, Intel understands how complex it is to create and deploy applications for deep learning workloads. That?s why we developed an integrated Deep Learning Reference Stack, optimized for Intel Xeon Scalable processor and released the companion Data Analytics Reference Stack.

    Today, we?re proud to announce the next Deep Learning Reference Stack release, incorporating customer feedback and delivering an enhanced user experience with support for expanded use cases.

  • Clear Linux Releases Deep Learning Reference Stack 4.0 For Better AI Performance

    Intel's Clear Linux team on Wednesday announced their Deep Learning Reference Stack 4.0 during the Linux Foundation's Open-Source Summit North America event taking place in San Diego.

    Clear Linux's Deep Learning Reference Stack continues to be engineered for showing off the most features and maximum performance for those interested in AI / deep learning and running on Intel Xeon Scalable CPUs. This optimized stack allows developers to more easily get going with a tuned deep learning stack that should already be offering near optimal performance.

More in Tux Machines

digiKam 7.7.0 is released

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. Read more

Dilution and Misuse of the "Linux" Brand

Samsung, Red Hat to Work on Linux Drivers for Future Tech

The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. Read more

today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.