Home / Blog /

Containerization with Confidence in Real-Time Linux

As containerized workflows become standard across software development and deployment, engineering teams working in real-time environments need solutions that align with the performance and safety demands of their applications. This white paper outlines how to effectively build and run Docker and Podman containers within the RedHawk Linux ecosystem offering a detailed, step-by-step guide tailored for both Ubuntu-based and RHEL-based RedHawk systems.

Whether you’re looking to isolate workloads, streamline simulation workflows, or test models in controlled environments, this document walks through the process of creating secure, efficient containers that preserve real-time performance. It covers everything from building a simple “Hello, World” application image to best practices for managing privileges, namespaces, and system resources within containerized applications.

Key topics include:

  • Installing and configuring Docker and Podman for RedHawk Linux
  • Differences between privileged and unprivileged containers
  • Building container images with both Dockerfile and Containerfile methods
  • Managing compatibility and image layers for optimized builds
  • Security considerations for real-time container deployment

Engineers new to containerization and experienced developers alike will benefit from the paper’s clear structure, practical examples, and RedHawk-specific insights.

Download the white paper to learn how to safely extend real-time capabilities into modern containerized environments without compromising the deterministic performance your applications depend on.

Related Articles

  • Diagram showing software staying the same while hardware changes: Guest OS + Application on RedHawk KVM-RT Host, with Hardware Gen 1 retired, Gen 2 in production, and Gen 3 planned refresh.

    Preserving Legacy Real-Time Applications Through Virtualization

    Preserving Legacy Real-Time Applications Through Virtualization Real-time applications often remain in service much longer than the hardware on which they were originally developed. Test systems, industrial controls, simulation environments, and data-acquisition platforms…

    Read more

  • Diagram comparing native RedHawk Linux (left) and RedHawk KVM-RT virtualization (right) with application layer and real-time workload on both sides.

    Native Real-Time Linux vs. Real-Time Virtualization: Which Architecture Fits Your Application?

    Native Real-Time Linux vs. Real-Time Virtualization: Which Architecture Fits Your Application? Virtualization is now common in enterprise computing, but timing-sensitive systems introduce requirements that conventional IT workloads do not share. An application may…

    Read more

  • Diagram of NUMA placement: keep Cores, Memory, and PCIe device in one node (local placement). Cross-node placement is discouraged (Node 0 and Node 1).

    How CPU Shielding, NUMA, and Interrupt Affinity Affect Real-Time Virtual Machines

    How CPU Shielding, NUMA, and Interrupt Affinity Affect Real-Time Virtual Machines Running a real-time operating system inside a virtual machine does not automatically create a deterministic environment. The virtual machine still depends…

    Read more