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What is the best alternative to OpenShift?
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Nomad
All
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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20
0
Rancher
All
5
Experiences
Pros
5
Top
Pro
Web GUI cluster management
Intuitive and easy to use web gui.
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Top
Pro
Mult-environment cluster system
Cattle (Rancher default) Swarm Kubernetes Mesos
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Top
Pro
Service catalog is easy
Rancher provides a catalog of application templates that make it easy to deploy complex stacks. Rancher certified catalog Community service catalog
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Top
Pro
Self-service application stack for self-monitoring
Great contributions from the co community who build the service stack catalog. One of them is the "Prometheus" template which deploys a collection of containers for monitoring a platform. It's capable of querying all aspects of your environment with some nice pre-built dashboards.
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Pro
Access control polices
Detailed role-based access control policies can be defined independently for each cluster.
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47
1
Gitlabs integrated CI
All
8
Experiences
Pros
3
Cons
4
Specs
Top
Pro
CI is integrated into the version control system
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Con
Security risks
Read GitLab provides remedies for slew of potential risks. and GitLab Critical Security Release.
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Top
Pro
Open-source
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Top
Con
Only works with gitlab
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Top
Pro
Easiest CI for Windows binary, because of Docker-Windows Runner Executor
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Con
Not lightweight
Not a lightweight solution, demanding and memory hungry.
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Top
Con
No Windows support
No Windows support, but it's possible to use a Bitnami stack.
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Specs
Platforms:
Linux
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Experiences
Free / paid
15
2
Docker Swarm
All
8
Experiences
Pros
5
Cons
3
Top
Pro
Easy setup
This also means that containers can be launched with a simple docker run command and Swarm will take care of the rest, such as selecting the appropriate host on which to run the container.
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Top
Con
If a node dies in the Swarm Cluster, the containers on that node WILL be started on a another node ...
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Top
Pro
Communicates with other Docker tools easily
Since Docker Swarm is a native Docker tool, it exposes the Docker API, making it possible t integrate it and communicate with other Docker tools (CLI, Compose, Krane, etc.).
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Top
Con
Not fault tolerant
If a node dies in your cluster, the containers on that node won't be restarted
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Top
Pro
Lightweight
Docker Swarm is much more lightweight than alternatives: Kubernetes and Mesosphere. Kubernetes, for instance, is very complex - it downloads and installs half of the web, where Docker Swarm has much, much smaller footprint.
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Top
Con
Bounded by the limitations of the Docker API
If the Docker API doesn't support something, then you are pretty much out of luck when it comes to Docker Swarm, because it won't be supported by Swarm either.
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Top
Pro
Open source
Docker Swarm is open source and provides great guides/documentation for those who want to contribute.
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Top
Pro
Compatible with Docker Compose
This gives you a well-rounded workflow.
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Experiences
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40
5
AZK
All
4
Experiences
Pros
4
Top
Pro
Soft learning curve
azk has straight forward documentation and an accessible, active community that are available by Twitter, their Slack chat and more.
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Top
Pro
Good performance
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Pro
Reusable environments
Existent configuration files (azkfiles) are very easy to customize, making them (and by extension the environments themselves) very customizable.
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Top
Pro
Easy to use
The API and CLI is powerful and simple enough for beginners to rapidly get started
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Free
5
1
Docker Compose
All
4
Experiences
Pros
2
Cons
2
Top
Pro
Easy setup
All that's needed to setup a multi-container application with Compose is a single file configuration file. Finally the application can be spun up with only a single command.
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Top
Con
More geared towards development
No really made for production.
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Top
Pro
Great for local development
Docker-compose isn't really meant (yet) for distributed deployment, but using it to deploy a website locally for testing is awesome. You could use it, with care (like handling faults), on a single server as well.
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Top
Con
Not ready for production yet
While Compose is very good for staging servers, CI and development environments, it's still not ready for production and it's not recommended to be used in production yet.
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Free
11
3
Kubernetes
All
11
Experiences
Pros
7
Cons
4
Top
Pro
Open Source
Kubernetes is free and open source.
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Top
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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Top
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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Top
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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Top
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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Top
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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Top
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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Top
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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Top
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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Top
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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Experiences
Free / paid
48
12
Google Cloud Platform
All
11
Experiences
Pros
7
Cons
3
Specs
Top
Pro
TPUs
Tensor Processing Units are bare-metal units designed to train your Machine Learning models faster. This is exclusive only to Google Cloud Platform.
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Top
Con
Expensive
GCP might be cheaper than AWS but it is more expensive than Azure. The main reason for this might be because of the extensive investment done for datacenters being efficient and green and secure.
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Top
Pro
Free tier
GCP gives your 365 days of free trial and 300 US$ credit including a Always Free if you upgrade.
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Top
Con
Live Migrating VMs does not apply to GPU-attached VMs
Because this kind of VMs has a direct passthrough to the Processing Unit, this is not available and restart only will be available for the VM attached.
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Top
Pro
Live-migrating VMs
Your VMs will still run even if there is a maintenance work going on to the tenant running your VM - thanks to Google's Live-migration system.
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Con
Unstable Egress/Ingress
Google Cloud Platform is a bit unstable with its egress and ingress. You may receive subtle blips when maintenance work is being carried on the routing.
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Top
Pro
Clear IAM roles
Unlike most Enterprise-grade IAM role systems, GCP has a clearer IAM permissions model, with Azure following.
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Top
Pro
First-class Kubernetes support
Kubernetes is a project from Google's Borg. GCP is the first Kubernetes-Certified infrastructure.
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Top
Pro
Secure and efficient to the core
Google datacenters are built with minimal security issues in mind while still reducing carbon footprint, making Google datacenters a much more greener infrastructure than competitors.
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Top
Pro
Runs on the same infrastructure with Google's Services
Google's datacenters runs your favorite video streaming services and even Google itself. Discord also relies on GCP to handle its workloads.
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Specs
Server locations:
US East, US West, US Central, Asia, Europe
ISOs:
Ubuntu, RHEL, CentOS, Debian, Container-optimized OS, CoreOS, Custom
Cloud Storage:
Yes
Virtualization:
KVM
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Experiences
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7
3
Marathon on Apache Mesos
All
5
Experiences
Pros
5
Top
Pro
Extremely fault-tolerant
Mesos handles (HA) master or agent failover; Marathon HA can survive scheduler failover; and Marathon automatically restarts failed tasks to maintain the desired number of task instances.
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Top
Pro
Mesos is battle-tested at scale in production
Running all of Twitter, Apple's Siri, etc.
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Pro
Scalable to 10,000s of containers
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Pro
Free and Open Source
http://github.com/mesosphere/marathon https://github.com/apache/mesos
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Pro
Also supports non-Docker cgroups containers
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6
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