This implies the biggest difference of all — DC/OS, as it name suggests, is more similar to an operating system rather than an orchestration framework. Kubernetes apps can use Mesos services without issue, but the reverse is more difficult. The state of the cluster is shared between all the schedulers. The first thing to point out is that you can actually run Kubernetes on top of DC/OS and schedule containers with it instead of using Marathon. Kubernetes doesn't require a JVM, so that's a plus for a lot of people – OneCricketeer Sep 9 '18 at 14:58 In case of a brand new project, better to use Mesos (Apache, Mesosphere). This article will attempt to give a high-level overview of Kubernetes, Docker Swarm, and Apache Mesos, as well as a few of their notable similarities and differences. Usage guide shows how to run the code; Development docs shows how to get set up for development Kubernetes, Docker Swarm, and Apache Mesos are 3 modern choices for container and data center orchestration. Kubernetes is preferred more by development teams who want to build a system dedicated exclusively to docker container orchestration. Bottom line – the move to container orchestration with Kubernetes has shortened the “Jira ticket -> Production” development cycle to 30 minutes. The Mesos cluster manager pioneered this approach, and YARN supports a limited version of it. There are five big names you will hear over and over again in the context of container orchestration: Kubernetes, Mesos (DC/OS), ECS, Swarm and Nomad. Container orchestration (and I’m purposely avoiding using the word Docker) is not for everyone and does not answer every need. Swarm – and yes, this is a matter of opinion – was profiled as being too basic and simple for our needs. From that point on, and after talking to Mesosphere, we came to the realization that this might not be a one-time thing, and even if we overcome this specific hurdle, DC/OS is controlled by a commercial company, for better and for worse. Swarm, Fleet, Borg and Kubernetes adopt monolithic schedulers. Kubernetes vs. Mesos + Marathon Application Definition: Applications can be deployed using a combination of pods, deployments, and services. By continuing to browse this site, you agree to this use. ), Mesosphere came into the picture to try and make Mesos into something regular human beings can use. Stateless jobsare long-running services without persistent states. Those working with the Google Cloud Engine may prefer working with Kubernetes, while people accustomed to Microsoft Azure may enjoy the Mesosphere workflow pipeline. 3. Just a caveat though, it's not entirely fair to compare Kubernetes with Mesos directly. …in continuation, the following paper puts it in to context: Ravula, Shashi. Kubernetes Vs. Mesos: A Comparison of Containerization Platforms Part II. Mesos vs kubernetes comparison 1. Mesos vs. Kubernetes The first thing to point out is that you can actually run Kubernetes on top of DC/OS and schedule containers with it instead of using Marathon. Support for long-running, data intensive batch workloads required some careful design decisions. This makes priority preemption (higher priority tasks kick out lower priority ones) difficult. Mesos, meanwhile, has a much different approach than Swarm and Kubernetes. Two-level schedulers address the drawbacks of a monolithic scheduler by separating concerns of resource allocation and task placement. Both Kubernetes and Docker Swarm support composing multi-container services, scheduling them to run on a cluster of physical or virtual machines, and include discovery mechanisms for those running services. 2. This allows for custom, workload-specific scheduling policies. Kubernetes, Docker Swarm & Apache Mesos are the three big players in container orchestration. A migration from Mesos to Kubernetes. Which left us with two strong players — the ever growing in popularity and usage, Kubernetes, and the evolving DC/OS. So, with Mesos, you can have a much more customized deployment, but you really need to know what you’re doing. Also, Mesos use Zookeeper to form a high-availability cluster to keep track of the other cluster states among the masters. The major components in a Kubernetes cluster are: 1. See below for a Kubernetes architecture diagram and the following explanation. Then I discovered that a simple feature I needed to automate the deployment process is only included in the enterprise version. All three all fall into a class of DevOps infrastructure management tools that are also known as Container Orchestration Engines (COEs). A pod is a group of co-located containers and is the atomic unit of a deployment. At Logz.io, we ended up with the two platforms named in the title of this article after a process of elimination. create rundeck project, create a job, and — execute some Nomad steps: some command / script / reference to another job, i.e. Mesos was built to be a scalable global resource manager for the entire data center. When referring to Mesos in this article, I am referring to DC/OS. Well, just in case you’ve lived on the moon for the past few years, Kubernetes is a container orchestration platform that was released by Google in mid-2014 and has since been contributed to the Cloud Native Computing Foundation. Brief explanation of Mesos and YARN. 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