Kubernetes vs Traefik: What are the differences?
Developers describe Kubernetes 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. On the other hand, Traefik is detailed as "Load Balancer for Microservices". Træfɪk is a modern HTTP reverse proxy and load balancer made to deploy microservices with ease. It supports several backends (Docker, Swarm, Mesos/Marathon, Kubernetes, Consul, Etcd, Zookeeper, BoltDB, Rest API, file...) to manage its configuration automatically and dynamically.
Kubernetes and Traefik are primarily classified as "Container" and "Load Balancer / Reverse Proxy" tools respectively.
"Leading docker container management solution" is the top reason why over 134 developers like Kubernetes, while over 10 developers mention "Kubernetes integration" as the leading cause for choosing Traefik.
Kubernetes and Traefik are both open source tools. It seems that Kubernetes with 55K GitHub stars and 19.1K forks on GitHub has more adoption than Traefik with 23.2K GitHub stars and 2.4K GitHub forks.
According to the StackShare community, Kubernetes has a broader approval, being mentioned in 1046 company stacks & 1096 developers stacks; compared to Traefik, which is listed in 46 company stacks and 19 developer stacks.
What is Kubernetes?
What is Traefik?
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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.