SDV Guide
digital.auto
  • Welcome
  • SDV101
    • Part A: Essentials
      • Smart Phone? No: Habitat on Wheels!
      • Basics: What is a Software-defined Vehicle
      • MHP: Expert Opinion
      • Challenges: What sets automotive software development apart?
      • SDV Domains and Two-Speed Delivery
    • Part B: Lessons Learned
      • Learnings from the Internet Folks
        • Innovation Management
        • Cloud Native Principles
          • DevOps and Continuous Delivery
          • Loose Coupling
            • Microservices & APIs
            • Containerization
            • Building Robust and Resilient Systems
      • Learnings from the Smart Phone Folks
    • Part C: Building Blocks
      • Foundation: E/E Architecture
        • Today`s E/E Architectures
        • Evolving Trends in E/E Architectur
        • Case Study: Rivian
      • Standards for Software-Defined Vehicles and E/E Architectures
      • Building Blocks of an SDV
        • Service-Oriented Architecture
          • The SOA Framework for SDVs
          • Container Runtimes
          • Vehicle APIs
          • Example: Real-World Application of SDV Concepts
          • Ensuring Functional Safety
          • Event Chains in Vehicle SOAs
          • Vehicle SOA Tech Stack
        • Over-the-Air Updates: The Backbone of Software-Defined Vehicles
        • Vehicle App Store: The Holy Grail of Software-Defined Vehicles
      • Summary: Building Blocks for Software-Defined Vehicles
    • Part D: Implementation Strategies
      • #DigitalFirst
      • Hardware vs Software Engineering
        • The Traditional V-Model in Automotive Development
        • Agile V-Model, anybody?
        • Key: Loosely Coupled, Automated Development Pipelines
        • The SDV Software Factory
      • Implementing the Shift Left
        • Simulation and Digital Prototyping
          • Early Validation: Cloud-based SDV Prototyping
          • Detailed Validation: SDVs and Simulation
        • Towards the Virtual Vehicle
          • Case Study: Multi-Supplier Collaboration on Virtual Platform
          • Long-Term Vision
        • Physical test system
        • De-Coupled, Multi-Speed System Evolution
        • Continuous Homologation
        • Summary and Outlook
      • Enterprise Topics
        • Variant Management
        • Engineering Intelligence
        • Enterprise Organization, Processes, and Architecture
        • Incumbent OEMs vs EV Start-ups
  • SDV201
  • ./pulse
    • SDV Culture
    • Lean Sourcing
      • LeanRM
        • Why so many Requirements?
      • SCM for SDVs
    • SDV Systems Engineering
      • LeanSE
      • SDVxMBSE
    • Digital First
    • Loose Coupling
      • API-first
      • Freeze Points
    • Automation and Engineering Intelligence
    • Continuous Homologation
    • Build / Measure / Learn
  • Glossary
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SDV Guide

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(c) 2025 Dirk Slama

On this page
  • How Containers Work
  • Microservices in Containers
  • Infrastructure Layering
  • Containers and Automated Pipelines
  • Benefits of Containers
  1. SDV101
  2. Part B: Lessons Learned
  3. Learnings from the Internet Folks
  4. Cloud Native Principles
  5. Loose Coupling

Containerization

PreviousMicroservices & APIsNextBuilding Robust and Resilient Systems

Last updated 6 months ago

Containers are the backbone of cloud computing, transforming how applications are built, deployed, and managed. Running at massive scale, containers power hundreds of millions, if not billions, of internet-based workloads, from web applications and databases to AI training and inference. They are widely adopted across industries leveraging internet technologies.

How Containers Work

Containers function as lightweight, isolated environments that package software and its dependencies. They enable consistent performance across different computing environments. Containers are closely tied to microservices, performing specific business functions while exposing APIs for communication.

Microservices in Containers

Microservices reside within containers and are managed by container runtimes. These runtimes handle essential service lifecycle operations, including:

  • Deployment and Activation: Starting new services when needed.

  • Service Termination: Shutting down inactive services.

  • Scaling: Adjusting the number of running service instances based on demand.

  • Service Monitoring and Health Checks: Ensuring availability and performance.

  • Fault Tolerance and Recovery: Automatically restarting failed services.

  • Version Management: Managing different service versions.

  • Multi-Tenancy Support: Running services for multiple clients securely.

Infrastructure Layering

Containers operate on a lightweight infrastructure layer, often running on virtualized operating systems hosted on physical servers. This layered architecture supports scalability and flexibility.

Containers and Automated Pipelines

Additionally, CI/CD pipelines automate the entire deployment process, enabling continuous delivery of services into container runtimes.

Benefits of Containers

Containers provide a host of advantages that enhance application development and operations:

  • Simplified Deployment: Packaging applications with all dependencies ensures smooth deployments.

  • Improved Resource Utilization: Containers optimize resource use by running multiple services on the same infrastructure.

  • Scalability: Services can be easily scaled up or down based on demand.

  • Isolation: Containers isolate applications, reducing conflicts and ensuring consistent behavior.

  • Faster Deployment and Testing: Applications can be quickly deployed and tested in containerized environments.

  • Compatibility: Containers ensure compatibility across different platforms.

  • DevOps Enablement: They support DevOps practices by automating deployment and operations tasks.

  • Ease of Collaboration: Developers can work independently and merge updates seamlessly.

  • Simplified Maintenance: Containers simplify updating, patching, and maintaining applications.

Containerization has become a foundational technology for modern cloud-based services, offering unparalleled flexibility, efficiency, and scalability in managing complex applications.