Skip to main content
AI
  • Get started with AI

    • Red Hat AI

      Accelerate the development and deployment of enterprise AI solutions.

    • AI learning hub

      Explore learning materials and tools, organized by task.

    • AI interactive demos

      Click through scenarios with Red Hat AI, including training LLMs and more.

    • AI/ML learning paths

      Expand your Red Hat OpenShift AI knowledge using these learning resources.

    • AI quickstarts

      Focused AI use cases designed for fast deployment on Red Hat AI platforms.

    • No-cost AI training

      Foundational Red Hat AI training.

  • Featured resources

    • Red Hat OpenShift AI
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

Red Hat AI Factory with NVIDIA

Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.

Learn
  • Self-guided

    • Documentation

      Find answers, get step-by-step guidance, and learn how to use Red Hat products.

    • Learning paths

      Explore curated walkthroughs for common development tasks.

    • Guided learning

      Receive custom learning paths powered by our AI assistant.

    • See all learning
  • Hands-on

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

    • Interactive labs

      Learn by doing in these hands-on, browser-based experiences.

    • Interactive demos

      Click through product features in these guided tours.

  • Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics
  • Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
Build
  • Get started

    • Red Hat build of Podman Desktop

      A downloadable, local development hub to experiment with our products and builds.

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

  • Download products

    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products
  • Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset
  • References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
Community
  • Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions
  • Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github
  • Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

Join the Red Hat Developer program

Download Red Hat products and project builds, access support documentation, learning content, and more.

ConsoleDocsSupport Search
New For you

Recommended

We'll recommend resources you may like as you browse. Try these suggestions for now.

  • Product downloads
  • Cheat sheets
  • Red Hat Developer learning portal
  • Developer blog
  • E-books
  • Developer Sandbox
Log in

Get more with a Red Hat Developer account

  • Product downloads
  • Console access
  • Event registration
  • Training & trials
Explore more account benefitsLog in or register

A subscription may be required for some services.

Contact us

Red Hat IT & Continuous Deployment

<p>&nbsp;</p> <quillbot-extension-portal></quillbot-extension-portal>

May 6, 2014
Jen Krieger
Related topics:
DevOps
Related products:
Developer Toolset

    We previously mentioned that Team Inception was focusing on making the deployment of packaged code a better situation for those in Red Hat IT. Here is a high-level overview of the work that we are doing:

    What is our Release Engine?

    The release engine will provide the functionality necessary to continuously deploy packaged code from the development team's continuous integration server of choice to all environments and automate certain business processes associated with the release of code. The engine will specifically focus on making releases user-friendly, repeatable, auditable and agile. The key to the release engine's success is straight-forward; it needs to be light-weight, fit to purpose and easy to extend and modify by development and operations team members.

    How are we limiting initial scope?

    We will be automating the RPM deployment of code to our QA environment for a targeted team for 2 high-profile projects. This scope will allow us to release a minimal viable product (MVP) in approximately 5 two-week sprints; although we can begin alpha testing with sprint 4.

    Minimal Viable Product Features:

    • Ability to use customizable release playbooks allowing users to define the individual steps that need to be taken for their specific release (FWIW: this will hopefully transform a manual documentation process which is taking at our best guess an average of 2 days x 2 people to complete for a medium-complexity release).
    • Ability to execute commands on secure systems
    • Ability to stop the release upon command failure
    • Ability to promote RPMs through environment repositories, interact with Puppet and Taboot (home-grown scripting tool)
    • Respect user authentication/authorization. We have a well-developed program for who can perform releases in certain environments. We want our release engine to incorporate those practices.
    • Log the release & output the log in an easily readable and accessible format
    • Ability to send notifications at particular points in the release process (e.g. IRC notification upon start/finish/rolling nodes, Email list notification)

    How far along are we? 

    • Sprint 1: Basic design documentation, release engine prototype, updating logs & onscreen results **Completed
    • Sprint 2: harden prototype code (including auth groundwork, test coverage, etc), notifications emitting to the bus, engine stopping upon command failure **Completed
    • Sprint 3: Fully integrate the concept of release playbooks, implement a first worker (RPM promotion to yum repo), complete auth work
    • Sprint 4: Continue to add our key workers; notifications, puppet, taboot, etc. I would like to see teams alpha testing at the end of this sprint.
    • Sprint 5: Finish key workers and "something" will need to happen with our change records here. Legit: This may be a "what did I forget and/or didn't know about" sprint. If it doesn't get filled with things I don't know about now, I will fill it with targeting our Stage & Prod environments.

    I know at least one of you reading this blog wants to know why we chose to build our own tool over using something already out on the market. I know this because 9 out of 10 people asked me that question at Red Hat Summit. Next week, I will try to give some insight into how we arrived at that decision.

    Last updated: February 7, 2024

    Recent Posts

    • A day in the life of an NVIDIA H100 on Red Hat OpenShift 5

    • Migrate BuildConfigs to builds for Red Hat OpenShift with one plug-in install

    • Run Red Hat Enterprise Linux CoreOS on NVIDIA BlueField DPUs

    • Agent harness engineering: Separating model capabilities from enforcement

    • What's new for developers in Red Hat Enterprise Linux 10.3 and 9.9

    Red Hat Developers logo

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    Red Hat Developer

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility
    Ask AI