What is the difference between tomcat and docker?

Difference: tomcat and docker are not the same type; docker is a container, and tomcat is a jsp application server. Tomcat can be installed on a physical machine, a virtual machine, or on Docker; so from this perspective, Docker can also be regarded as an ultra-lightweight virtual machine.

The difference between tomcat and docker

The two are not the same type.

1. Docker is a container, and tomcat is a jsp application server.

2. Tomcat can be installed on a physical machine, a virtual machine, or on Docker. So from this perspective, Docker can also be regarded as an ultra-lightweight virtual machine.

3. Docker can be installed on physical machines and virtual machines, but I don’t know if Docker can be installed on Docker. I think it should be possible in theory.

4. As an ultra-lightweight platform, Docker can be transplanted as a whole, which is one of the reasons for its popularity.

Docker provides lightweight virtualization. You can get an additional abstraction layer from Docker. You can run multiple Docker microcontainers on a single machine, and each microcontainer has a microservice or Independent applications, for example, you can run Tomcat in one Docker and MySQL in another Docker. Both can run on the same server or multiple servers. In the future, every application may need to be Dockerized.

Eight uses of Docker

Docker provides lightweight virtualization. You can get an additional abstraction layer from Docker, and you can run multiple applications on a single machine. Docker microcontainers, and each microcontainer has a microservice or independent application. For example, you can run Tomcat in one Docker and MySQL in another Docker. Both can run on the same server or multiple on the server. In the future, every application may need to be Dockerized.

Container startup and relationships are very fast. Docker currently has the following seven uses:

• Simplify configuration

  This is the initial purpose of Docker. The biggest benefit of virtual machine VM is that it can be seamlessly configured based on your application. Runs on any platform. Docker provides the same VM-like capabilities, but without any side effects. It allows you to put the environment and configuration into the code and then deploy it. The same Docker configuration can be used in various environments. This actually realizes the application environment and the underlying environment. Decoupled.

• Code pipeline management

  The code can be managed in a streaming pipeline, and the process from the developer's machine to the production environment machine can be effectively managed. . Because there will be various environments in this process, each of which may have slight differences, Docker provides a consistent micro-environment across these heterogeneous environments to achieve smooth release from development to deployment.

• Production of developers

  In a development environment, we hope that our development environment can be closer to the production environment, and we will let each service run on its own In the VM, this can simulate the production environment. For example, sometimes we do not always need to connect across the network, so we can load multiple Dockers with a series of services and run them on a single machine to simulate the production distributed deployment environment to the greatest extent.

• Application Isolation

  There are many reasons why you need to run multiple applications on one machine, which requires dividing the original monolithic application into many microservices . To achieve decoupling between applications, deploying multiple application services in multiple Dockers can easily achieve this goal.

• Service Merger

  Using Docker can also merge multiple services to reduce costs, occupy less operating system memory, and share multiple free memories across instances. These Technology Docker can provide more efficient service consolidation with tighter resources.

• Multi-tenant

  Docker can be used as a multi-tenant container for cloud computing. Docker can easily create and run multiple instances for each tenant, thanks to its flexibility A fast environment and effective diff commands.

• Quick Deployment

  Docker creates or destroys resources in the data center by creating containers without having to restart the operating system. It can be shut down in seconds without having to restart the operating system. Worry about extra consumption. The typical data center utilization rate is 30%. By more aggressive resource allocation and achieving a more aggregated resource allocation for a new instance at a low cost, we can easily exceed this utilization rate and greatly improve the data center utilization efficiency.

Recommended tutorials: "docker tutorial", "PHP tutorial"

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