Docker Datacenter vs Kubernetes: What are the differences?
Developers describe Docker Datacenter as "Develop and manage apps at any scale". Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment. On the other hand, Kubernetes is detailed as "Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops". Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
Docker Datacenter and Kubernetes are primarily classified as "Containers as a Service" and "Container" tools respectively.
Kubernetes is an open source tool with 54.2K GitHub stars and 18.8K GitHub forks. Here's a link to Kubernetes's open source repository on GitHub.
What is Docker Datacenter?
What is Kubernetes?
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It's a little bit complex to onboard, but once you grasp all the different concepts the platform is really powerful, and infrastructure stops being an issue.
Service discovery, auto-recovery, scaling and orchestration are just a few of the features you get.
Just tinkering with it for personal use at this stage based on positive experience using it at work. Plan to use it for high traffic distributed systems if not using a managed hosting service like Heroku, AWS Lambda, or Google Cloud Functions. Reasons for using instead of these alternatives would be cheaper cost at higher scale.
Good existential question. Kubernetes is painful in the extreme - especially when combined with Ansible. The layers of indirection are truly mind altering. But hey - containers are kewl!
Our developer experience system is on Kubernetes (Google Kubernetes Engine at the moment). We would like to expand our Kubernetes clusters over other Kubernetes engine.
Kubernetes is used for managing microclusters within our AWS infrastructure. This allows us to deploy new infrastructure in seconds.