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One of the primary benefits of containerization is that containers share the host operating system (OS) kernel, allowing them to be more lightweight and faster to deploy compared to traditional virtual machines (VMs). In traditional virtualization, each VM runs its own full OS, which consumes considerable system resources and can lead to longer boot times and increased overhead. In contrast, containers encapsulate only the application and its dependencies, eliminating the need for a separate OS instance for each application. This design results in significantly reduced resource usage and quicker start times, making containers an excellent choice for deploying microservices and other cloud-native applications. The efficiency of containerization allows for higher density of applications on a single host, improved scalability, and streamlined development and deployment workflows, particularly when integrated with orchestration tools like Kubernetes. Option A (Containers require a full operating system for each instance) - This statement is incorrect; containers share the host OS, which is a fundamental aspect of their design, allowing them to be lightweight. Option B (Containers are slower to deploy than virtual machines) - Containers are typically faster to deploy than VMs due to their lightweight nature and shared OS, allowing rapid scaling and flexibility in application deployment. Option D (Containers do not support orchestration tools) - Containers can be effectively managed and orchestrated using tools like Kubernetes and Docker Swarm, enhancing their deployment and scaling capabilities. Option E (Containers are not suitable for microservices architecture) - On the contrary, containers are ideally suited for microservices architectures, as they allow developers to package and deploy individual microservices independently.
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