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What is the best alternative to Apache Mesos?
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Nomad
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5
Experiences
Pros
4
Cons
1
Top
Pro
Simple, minimal architecture
Being focused on one thing only also has its advantages. For one, Nomad is very simple architecturally. There's only a single binary for both clients and servers, it also does not need any external services for any coordination or storage.
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Con
Only provides cluster management and scheduling
While other orchestration tools provide much more than just cluster management and scheduling (they also provide things like secrets management, discovery, monitoring, etc.), Nomad follows the Unix philosophy of doing only one thing and doing it well, providing only cluster management and scheduling.
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Pro
Complex applications can easily be expressed through Nomad
Nomad uses a high-level abstraction of jobs. Jobs are essentially task groups (sets of tasks). Because of this, Nomad allows users to develop and manage complex applications easily, without having to think about the individual containers that make these applications.
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Pro
Easy to reason about
Nomad gives a lot of output and is intentionally kept simple. This makes maintenance easy and reduces downtimes.
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Pro
Big comapnies, like eBay and CircleCI use it
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Kubernetes
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11
Experiences
Pros
7
Cons
4
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Pro
Open Source
Kubernetes is free and open source.
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Con
Cannot define containers through the Docker CLI
Kubernetes was not written for docker clustering alone. It uses a different API, configuration and different YAML definitions. So you can't use the Docker CLI or Docker Compose to define your containers. Everything has to be done from scratch.
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Pro
Built on several years of experience with containers
Kubernetes was built on top of several years of experience from Google working on containers in production. It's a little opinionated on how containers should work and behave, but if used correctly it can help you achieve fault-tolerant systems.
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Con
Windows restrictions
Windows compatibility rules, the host OS version must match the container base image OS version. Only Windows containers with Windows Server 2019 are supported. Also other restrictions are present.
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Pro
Fault tolerant
Almost everything in Kubernetes is designed to handle if parts of it fail or if your service crashed for whatever reason. So it's particularly adapted if you've a cluster (even a very small one).
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Con
If used on an existing system, some re-organizing may be needed
Because of how opinionated Kubernetes is, it may be necessary to change some things if you decide to use Kubernetes as an orchestration tool in an existing application.
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Pro
Works well with modern operating systems
Kubernetes works very well with modern environments (such as CoreOS or Red Hat Atomc) which offer lightweight computing nodes that you don't have to manage, since they are managed for you.
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Con
Sometimes Pods refuse to (re)start automatically
It happens that a Pod needs a manual kick before it runs properly, especially if you're near full utilisation of your machine resources. Sometimes it is just a long delay.
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Pro
Supported on several PaaS
Kubernetes is currently supported by Google Compute Engine, Rackspace, Microsoft Azure, and vSphere. Work is being done to support Kubernetes on OpenShift and CloudFoundry.
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Pro
Easy to do grouping tasks
Kubernetes uses labels which are key-value pairs that are attached to objects, usually pods. They are used to specify the characteristics of an object like the version, tier, etc. Labels are used to identify objects or groups of objects according to different characteristics that they may have, for example they can be used to identify all the pods that are included in the backend tier. Through labels it's easier to do grouping tasks for pods or containers, like moving pods to different groups or assigning them to load-balanced groups.
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Pro
Great starting point for beginners
Kubernetes great for beginners who are just starting to work on clustering. It's probably the quickest and easiest way to start experimenting and learning cluster oriented development.
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