Page History

...

1. Kubernetes Master node:
2. Kubernetes Worker Node(s): Yellowfin containers sit within the worker node or nodes of a Docker Swarm environment. 
3. The Yellowfin component: Yellowfin pods that form the Yellowfin cluster. These pods may be placed on multiple Kubernetes worker nodes depending on available resources in the Kubernetes cluster. Depending on the Yellowfin deployment type, the Kubernetes environment will have one or more Yellowfin instances running, with those instances connecting to either the same database (for a clustered Yellowfin deployment) or different database (discrete instance deployment). 
4. DBMS  : For performance reasons, we currently recommend not running the repository database in a Kubernetes Pod for production workloads. Instead, we recommend a dedicated database server; for example, for AWS, an EC2 instance or using AWS RDS.
5. Traefik: Traefik is a container-aware reverse proxy that runs Kubernetes environment and handles the load balancing and sticky sessions for the Yellowfin instances. We go into more detail about Traefik and Kubernetes later on (link). 
   For single instance deployments of Yellowfin on Kubernetes, there will only be a single Yellowfin pod present. 

...

Other scenarios 

For multiple discrete Yellowfin instances on Docker Swarm, deploying Traefik is Kubernetes, deploying Traefik is optional. If it is deployed in this situation, it can route requests to the discrete Yellowfin deployments, instead of exposing ports on the Docker Swarm Kubernetes cluster that route directly to the Yellowfin instances.  AlternativelyAlternatively,  you can avoid Traefik if you have you can avoid Traefik if you have a container-aware proxy that supports sticky sessions (such as NGINXas NGINX). 

In a multiple discrete Yellowfin instances on Kubernetes, each Yellowfin instance will be communicating with a different Yellowfin repository database. 

...

Preparing for deployment

Before deploying Yellowfin on Kubernetes, make sure you’ve chosen which type of deployment suits your requirements. In our examples, we’ve  deployed Yellowfin in a Kubernetes environment via Kubectl. We chose Kubectl because it’s a free command line tool to interact with the Kubernetes control plane (the master node), which is well documented, but you can choose a different tool if you have a preference. 

...