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All we have to do is install one of the service discovery tools and run the swarm container on all nodes. Setting up Docker Swarm is easy, straightforward and flexible. We’ll explore those two tools in more details based on their setup and features they provide for running containers in a cluster. If the API doesn’t support something, there is no way around it through Swarm API and some clever tricks need to be performed. Being able to use familiar tools of your own choosing is great but for the same reasons we are bound by the limitations of Docker API. That in itself is both an advantage and a disadvantage at the same time. The best part is that it exposes standard Docker API meaning that any tool that you used to communicate with Docker (Docker CLI, Docker Compose, Dokku, Krane, and so on) can work equally well with Docker Swarm. Docker Swarmĭocker Swarm took a different approach. Kubernetes brought clustering to a new level but at the expense of usability and steep learning curve. It’s as if the tool was not written for Docker (which is partly true). Everything needs to be done from scratch exclusively for Kubernetes. In other words, you cannot use Docker CLI nor you can use Docker Compose to define containers. It uses a different CLI, different API and different YAML definitions. We could mount persistent volumes that would allow us to move containers without loosing data, it used flannel to create networking between containers, it has load balancer integrated, it uses etcd for service discovery, and so on. It solved many of the problems that Docker itself had. If you started using Kubernetes around Docker version 1.0 (or earlier), the experience with Kubernetes was great. That approach is great in many ways, most important being that they used their experience from the start.
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It is, in a way, a replica of what Google has been doing for a long time but, this time, adapted to Docker. Kubernetes is based on Google’s experience of many years working with Linux containers.
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However, they differ greatly in their approach. Both are created as helper tools that can be used to manage a cluster of containers and treat all servers as a single unit. Kubernetes and Docker Swarm are probably two most commonly used tools to deploy containers inside a cluster.