Run operations concerning multiple clusters in parallel. Each cluster gets its
own worker in order to create, update, sync or delete clusters. Each worker
acquires the lock on a cluster. Subsequent operations on the same cluster
have to wait until the current one finishes. There is a pool of parallel
workers, configurable with the `workers` parameter in the configmap and set by
default to 4. The cluster-related tasks are assigned to the workers based on
a cluster name: the tasks for the same cluster will be always assigned to the
same worker. There is no blocking between workers, although there is a chance
that a single worker will become a bottleneck if too many clusters are
assigned to it; therefore, for large-scale deployments it might be necessary
to bump up workers from the default value.
- add a new environment variable for triggering debug log level
- show both new, old object and diff during syncs and updates
- use pretty package to pretty-print go structures
-
* move statefulset creation from cluster spec to the separate function
* sync cluster state with desired state;
* move out from arrays for cluster resources;
* recreate pods instead of deleting them in case of statefulset change
* check for master while creating cluster/updating pods
* simplify retryutil
* list pvc while listing resources
* name kubernetes resources with capital letter
* do rolling update in case of env variables change
DNS name is generated from the team name and cluster name.
Use "zalando.org/dnsname" service annotation that makes 'mate' service assign a CNAME to the load balancer name.
introduce Pod events channel;
add parsing of the MaintenanceWindows section;
skip deleting Etcd key on cluster delete;
use external etcd host;
watch for tpr/pods in the namespace of the operator pod only;
Murat Kabilov
Oleksii Kliukin