def test(shipment):
"""Use this function as a skeleton for deploing Elasticsearch cluster."""
shipment.unload_ships()
ships = shipment.ships.values()
zookeepers = build_zookeeper_cluster(filter_quorum_ships(ships))
elasticsearches = []
for ship in ships:
elasticsearch = create_elasticsearch(clustername='testcluster', version='1.4.1')
kibana = create_kibana()
nginx = create_nginx_proxy()
# Place all containers on the same ship
ship.place(elasticsearch)
ship.place(kibana)
ship.place(nginx)
# Adjust memory to prevent OOM when running on the laptop
elasticsearch.memory = min(ship.memory, 128*1024*1024)
# We will use Zookeeper for master discovery
attach_zookeepers_to_elasticsearch(elasticsearch, zookeepers)
# Nginx will terminate https and proxy requests to Elasticsearch and Kibana
attach_upstreams_to_nginx(nginx, upstreams=[
(elasticsearch.doors['http'], 9200, 9443),
(kibana.doors['http'], 8080, 8443),
])
# Expose nginx ports before attaching it to Kibana
nginx.expose_ports(list(range(2000, 4000)))
# Kibana should use the same origin and just change port to access Elasticsearch
attach_elasticsearch_to_kibana(kibana, httpdoor=nginx.doors['elasticsearch.http'],
httpsdoor=nginx.doors['elasticsearch.https'])
# Save elasticsearches to clusterize them later
elasticsearches.append(elasticsearch)
# Let Elasticsearches know about each other
clusterize_elasticsearches(elasticsearches)
# Expose all unexposed ports
shipment.expose_ports(list(range(51000, 51100)))
def test(shipment):
from obedient.zookeeper import build_zookeeper_cluster
shipment.unload_ships()
zookeepers = build_zookeeper_cluster(shipment.ships.values())
builder = make_powny_builder()
for ship in shipment.ships.values():
gitapi = builder.gitapi(ssh_keys=[])
api = builder.api()
worker = builder.worker()
collector = builder.collector()
for powny in [api, worker, collector]:
attach_zookeepers_to_powny(powny, zookeepers)
for container in [api, worker, collector, gitapi]:
ship.place(container)
shipment.expose_ports(list(range(47000, 47100)))
