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VMs vs. Containers

Virtualization is key to improved scalability for many organizations. Virtual machines and containers are the two most popular visualization approaches. However, deciding between VMs and containers has been a riddle to many. Here is a cyclopedic one-on-one of VMs vs containers for you.

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VMs vs. Containers

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  1. VMs vs. Containers

  2. Agenda VMs vs. containers: An overview Minutes versus milliseconds Portability across environments Infrastructure management Concurrent workload execution Security & compliance Risk management DevOps impact Learning curve

  3. VMs vs. containers: An overview Virtual Machines Containers VMs achieve virtualization at the hardware level with a hypervisor that virtualizes the processor, RAM, storage, network, etc. Containers achieve OS- level virtualization. There is a kernel on top of the hardware, which helps communicate hardware with software. A virtual machine is isolated from a server or a machine. Containers are isolated forms of processes.

  4. Minutes versus milliseconds As you can observe from the graphical representation below, latency for writer operations of containers is around 6 ms, and VMs have a latency of 10 ms for 80,000 transactions.

  5. Minutes versus milliseconds With a similar setup, the results for read operations indicated that VMs have a latency of 11 ms and containers have a latency of 7 ms.

  6. Portability across environments Virtual Machines Containers Pack microservices and all their dependencies inside a small package that is portable across environments. Provide the virtualization of hardware, and that is why it has less portability. Have less mobility due to individual OS, apart from the hardware mobility issues.

  7. Infrastructure management With VMs, there are several copies of OS which consume a lot of RAM, CPU, and disk space. The structure of VMs will have a host OS on top of hardware and a hypervisor. On the other hand, due to the modularity of container architecture and lower memory footprint, scaling either the Python app or Node.Js app individually is easy. Another essential benefit of choosing containerization is optimal resource allocation. Even if some containers are not using the CPU storage, it is automatically allocated among other containers.

  8. Infrastructure management

  9. Concurrent workload execution When you compare VMs vs. containers for executing concurrent requests, containers have the advantage of process isolation. Containers allow you to process concurrent requests simultaneously with the isolation of each service. It also has less overhead compared to VMs for concurrent workload execution.

  10. Security & compliance Virtual machines have isolated OS environments, so data security is higher. However, applications running on VMs are susceptible to cyberattacks due to old packages. On the other hand, containers share OS, so infections to one container can affect the entire system. However, despite having a shared OS, containers have less exposure than VMs. This is due to short-lived workloads, which typically last for days or hours, and frequent security updates.

  11. Risk management Containers do a better job of leaving a data trail for effective monitoring when comparing VMs vs. containers for risk management. Every container engine executes push and pulls of container images from the registry, leaving a trail that can be logged and monitored for risk assessment. VMs lack fault tolerance. Failure of VMs on one server in the cluster triggers restart of OS on a new server affecting the entire app. Apart from this, VMs have a single point of failure due to shared OS.

  12. DevOps impact VM virtualization allows teams to maximize gains through parallelism. For example, teams can test features in real-time while developing them parallelly. On the other hand, containerization improves test performance for DevOps teams through simulated environments. Containers provide process isolation through a lightweight image that contains app binaries. So, comparing the intensity of impact on DevOps for VMs vs. containers, containerization has the edge over virtualization.

  13. Learning curve VMs are the primary management unit allowing developers to focus only on managing virtualization, snapshotting, and migrating to new abstractions. At the same time, containers completely change the app architecture and developer practices. While VMs just virtualize the machines or hardware, containers bring microservice architecture into action.

  14. Contact Us Website www.simform.com Email Address contactus@simform.com Social Presence twitter.com/simform facebook.com/simform linkedin.com/company/simform/

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