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Docker 5 - When to use Docker Containers

Benefits of Using Docker Containers:

  • Efficient Hardware Use: Efficient Hardware Use Efficient Hardware Use

    • Containers run without needing a separate virtual machine (VM), relying on the host kernel, saving resources like disk space, memory, and CPU.
  • Container Isolation: Container Isolation Container Isolation

    • Docker containers run securely on the same host without affecting each other.
    • Data storage and network configurations can be customized to isolate or share between containers.
  • Application Portability:

    • Containers run on various environments (desktops, servers, VMs, cloud) with fast startup and redeployment times.
    • Ideal for scaling and moving applications across different platforms.
  • Application Delivery:

    • Containers standardize the distribution of applications, facilitating continuous integration and faster deployment cycles.
    • Developers focus on building software, while operations focus on deployment and management.
  • Managing Hosting Environments:

    • Containers allow flexible environment management, making it easier to update, patch, and manage applications without affecting others.
    • Resource limits and updates are managed per container.
  • Cloud Deployments:

    • Docker is the default container architecture for many cloud services, including Azure Container Instances, Azure App Service, and Azure Kubernetes Services.

When Not to Use Docker Containers:

  • Security and Virtualization Concerns:

    • Containers share a single host OS kernel, which can be a security risk.
    • Windows offers Hyper-V isolation mode for additional security, isolating containers at the hypervisor level.
    • Some applications may not benefit from containerization and might be better suited for VMs.
  • Service Monitoring Challenges:

    • Managing containers can be more complex than traditional VM setups.
    • Docker provides basic monitoring tools like docker stats, but detailed, long-term monitoring requires third-party tools.
    • Aggregating and analyzing service data inside containers can be challenging without additional software.
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