Senior Principal Product Manager - Technical
Louis Imershein
Louis Imershein is a Product Manager at Red Hat where his focus is on improving the Red Hat Enterprise Linux software developer experience. He has an extensive background in software development, architecture, quality assurance, technical support, and product management on a wide range of OS, management, security, and storage software projects. Louis joined Red Hat as part of the acquisition of Permabit Technology Corporation, where he was VP of Product.
Louis Imershein's contributions
Article
Unlocking UBI to Red Hat Enterprise Linux container images
Learn how to gain access to a larger library of packages in Red Hat Enterprise Linux for container development and testing by using a no-cost Red Hat Developer subscription. Discover the benefits of using Red Hat Enterprise Linux over the Red Hat Universal Base Image (UBI) and how to set up self-service access.
Article
Leverage AI for root-cause analysis with MCP servers in VS Code and Cursor
Learn how to integrate model context protocol (MCP) servers for Red Hat Enterprise Linux and Red Hat Lightspeed into your IDE for data-driven troubleshooting and proactive analytics. Improve your development workflow with actionable intelligence from natural language queries.
Learning path
Build a bootable .NET 10 application using image mode for RHEL with Podman Desktop
Use Podman Desktop to create a bootable .NET 10-based application using image
Learning path
Build a bootable Python Flask application using image mode for RHEL with Podman Desktop
Use Podman Desktop to create a bootable Flask-based application using image mode
Article
How to develop Red Hat Enterprise Linux applications on other Linux distributions or Microsoft Windows
Learn how to develop Red Hat Enterprise Linux applications using Toolbx and Windows Subsystem for Linux (WSL) and how to choose the best method for your needs.
Learning path
Build and run a bootable container image with image mode for RHEL and Podman Desktop
Learn how to locally build and run a bootable container (bootc) image in Podman
Learning path
Build a bootable Python Django app with image mode and Podman
Use Podman Desktop to create a bootable Django-based application using image
Article
Why some agentic AI developers are moving code from Python to Rust
Discover the benefits of using Rust for building concurrent, scalable agentic systems, and learn how it addresses the GIL bottleneck in Python.
Unlocking UBI to Red Hat Enterprise Linux container images
Learn how to gain access to a larger library of packages in Red Hat Enterprise Linux for container development and testing by using a no-cost Red Hat Developer subscription. Discover the benefits of using Red Hat Enterprise Linux over the Red Hat Universal Base Image (UBI) and how to set up self-service access.
Leverage AI for root-cause analysis with MCP servers in VS Code and Cursor
Learn how to integrate model context protocol (MCP) servers for Red Hat Enterprise Linux and Red Hat Lightspeed into your IDE for data-driven troubleshooting and proactive analytics. Improve your development workflow with actionable intelligence from natural language queries.
Build a bootable .NET 10 application using image mode for RHEL with Podman Desktop
Use Podman Desktop to create a bootable .NET 10-based application using image
Build a bootable Python Flask application using image mode for RHEL with Podman Desktop
Use Podman Desktop to create a bootable Flask-based application using image mode
How to develop Red Hat Enterprise Linux applications on other Linux distributions or Microsoft Windows
Learn how to develop Red Hat Enterprise Linux applications using Toolbx and Windows Subsystem for Linux (WSL) and how to choose the best method for your needs.
Build and run a bootable container image with image mode for RHEL and Podman Desktop
Learn how to locally build and run a bootable container (bootc) image in Podman
Build a bootable Python Django app with image mode and Podman
Use Podman Desktop to create a bootable Django-based application using image
Why some agentic AI developers are moving code from Python to Rust
Discover the benefits of using Rust for building concurrent, scalable agentic systems, and learn how it addresses the GIL bottleneck in Python.
