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Kubernetes: Best for medium-scale, highly redundant systems, but requires a larger IT staff.Swarm: Great value and easily scalable for small to medium systems.Both Kubernetes and Swarm are limited to 1,000 nodes (and roughly 50,000 containers) and are pushing to improve those numbers, but in the meantime, Mesos is your go-to for large-scale data solutions used by companies like Twitter. Regarding scalability and resilience, Mesos is best for companies that already run hundreds or thousands of hosts, and has been tested (in simulation) to run up to 50,000 nodes. If you’re integrating or changing over to one of them you’ll have to start your applications over from scratch, and if your IT team isn’t big enough to handle the workload, you’re in trouble. Mesos: Best for large-systems and designed for maximum redundancy.īoth Kubernetes and Mesos are more versatile on customization, but are much less user-friendly.Kubernetes: Highly versatile, large open-source dev community, but more expensive.Swarm: Easy to integrate and setup, flexible API, but limited customization.The flexibility of the Docker API means it’s easy to integrate and also allows you to use other tools such as bespoke scripts or Compose at the cost of custom interfaces and complex scheduling. For ease-of-use, Docker Swarm leads the pack with its ‘zero to dev’ quick setup feature. The two biggest differences between the big three include the learning curve and scalability. At present, the opinionated designs and lack of a universal standard means that no platform supports all cluster managers simultaneously, and that means you’re going to have to choose. Finding the right cluster management solution that fits your enterprise’s individual needs can be painful.