Running Docker 18.09.7ce with Docker API v1.39 on Ubuntu 18.04 LTS.
I'm trying to set up Traefik 2.2 as a reverse proxy for some swarm services but for some reason Traefik can't connect to the Docker daemon via the TCP port given in the Traefik documentation. These three error messages keep repeating.
level=debug msg="FIXME: Got an status-code for which error does not match any expected type!!!: -1" status_code=-1 module=api
level=error msg="Failed to retrieve information of the docker client and server host: Cannot connect to the Docker daemon at tcp://127.0.0.1:2377. Is the docker daemon running?" providerName=docker
level=error msg="Provider connection error Cannot connect to the Docker daemon at tcp://127.0.0.1:2377. Is the docker daemon running?, retrying in 1.461723532s" providerName=docker
It's running on a manager node (I only have one node) and the swarm is working fine, with the API exposed via that TCP port, as shown by the output of the following command.
$ sudo ss --tcp --listening --processes --numeric | grep ":2377"
LISTEN 0 128 *:2377 *:* users:(("dockerd",pid=30747,fd=23))
My architecture is based on this blog post, with a shared overlay network called proxy created with docker network create --driver=overlay proxy.
I tried this but it didn't work, and I can't really find any other related questions. Here are my configuration files:
traefik.toml
[providers.docker]
endpoint = "tcp://127.0.0.1:2377"
swarmMode = true
network = "proxy"
[entryPoints]
[entryPoints.web]
address = ":80"
[entryPoints.web-secure]
address = ":443"
[certificatesResolvers.le.acme]
email = "my-email#email.com"
storage = "/letsencrypt/acme.json"
caserver = "https://acme-staging-v02.api.letsencrypt.org/directory" # For testing
[certificatesResolvers.le.acme.httpChallenge]
entryPoint = "web"
[log]
level = "DEBUG"
traefik.yml
version: "3.7"
services:
reverse-proxy:
deploy:
placement:
constraints:
- node.role == manager
image: "traefik:v2.2"
ports:
- 80:80
- 443:443
volumes:
- "/var/run/docker.sock:/var/run/docker.sock"
- "/path/to/traefik.toml:/etc/traefik/traefik.toml"
- "letsencrypt:/letsencrypt"
networks:
- "proxy"
networks:
proxy:
external: true
volumes:
letsencrypt:
The only difference I can see is that the blog does not explicitly define an endpoint for the dockers provider. Maybe to removing that?
I create 3 virtual machine use docker-machine,there are:
NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS
cluster - virtualbox Running tcp://192.168.99.101:2376 v18.09.5
cluster2 - virtualbox Running tcp://192.168.99.102:2376 v18.09.5
master - virtualbox Running tcp://192.168.99.100:2376 v18.09.5
and then I create a docker swarm in master machine:
docker-machine ssh master "docker swarm init ----advertise-addr 192.168.99.100"
and in cluster and cluster2 join master:
docker-machine ssh cluster "docker swarm join --advertise-addr 192.168.99.101 --token xxxx 192.168.99.100:2377"
docker-machine ssh cluster2 "docker swarm join --advertise-addr 192.168.99.102 --token xxxx 192.168.99.100:2377"
the docker node ls info:
ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION
r4a6y9wie4zp3pl4wi4e6wqp8 cluster Ready Active 18.09.5
sg9gq6s3k6vty7qap7co6eppn cluster2 Ready Active 18.09.5
xb6telu8cn3bfmume1kcektkt * master Ready Active Leader 18.09.5
there is deploy config swarm.yml:
version: "3.3"
services:
elasticsearch:
image: elasticsearch:7.0.0
ports:
- "9200:9200"
- "9300:9300"
environment:
- cluster.name=elk
- network.host=_eth1:ipv4_
- network.bind_host=_eth1:ipv4_
- network.publish_host=_eth1:ipv4_
- discovery.seed_hosts=192.168.99.100,192.168.99.101
- cluster.initial_master_nodes=192.168.99.100,192.168.99.101
- bootstrap.memory_lock=false
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
networks:
- backend
deploy:
mode: replicated
replicas: 3
#endpoint_mode: dnsrr
restart_policy:
condition: none
resources:
limits:
cpus: "1.0"
memory: "1024M"
reservations:
memory: 20M
networks:
backend:
# driver: overlay
# attachable: true
i pull elasticsearch image to virtual machie:
docker-machine ssh master "docker image pull elasticsearch:7.0.0"
docker-machine ssh cluster "docker image pull elasticsearch:7.0.0"
docker-machine ssh cluster2 "docker image pull elasticsearch:7.0.0"
before run i run this command fix some elasticearch bootstrap error:
docker-machine ssh master "sudo sysctl -w vm.max_map_count=262144"
docker-machine ssh cluster "sudo sysctl -w vm.max_map_count=262144"
docker-machine ssh cluster2 "sudo sysctl -w vm.max_map_count=262144"
and then i run `docker stack deploy -c swarm.yml es, the elasticsearch cluster cannot work.
docker-machine ssh master
docker service logs es_elasticsearch -f
show:
es_elasticsearch.1.uh1x0s9qr7mb#cluster | {"type": "server", "timestamp": "2019-04-25T16:28:47,143+0000", "level": "WARN", "component": "o.e.c.c.ClusterFormationFailureHelper", "cluster.name": "elk", "node.name": "e8dba5562417", "message": "master not discovered yet, this node has not previously joined a bootstrapped (v7+) cluster, and this node must discover master-eligible nodes [192.168.99.100, 192.168.99.101] to bootstrap a cluster: have discovered []; discovery will continue using [192.168.99.100:9300, 192.168.99.101:9300] from hosts providers and [{e8dba5562417}{Jy3t0AAkSW-jY-IygOCjOQ}{z7MYIf5wTfOhCX1r25wNPg}{10.255.0.46}{10.255.0.46:9300}{ml.machine_memory=1037410304, xpack.installed=true, ml.max_open_jobs=20}] from last-known cluster state; node term 0, last-accepted version 0 in term 0" }
es_elasticsearch.2.swswlwmle9e9#cluster2 | {"type": "server", "timestamp": "2019-04-25T16:28:47,389+0000", "level": "WARN", "component": "o.e.c.c.ClusterFormationFailureHelper", "cluster.name": "elk", "node.name": "af5d88a04b42", "message": "master not discovered yet, this node has not previously joined a bootstrapped (v7+) cluster, and this node must discover master-eligible nodes [192.168.99.100, 192.168.99.101] to bootstrap a cluster: have discovered []; discovery will continue using [192.168.99.100:9300, 192.168.99.101:9300] from hosts providers and [{af5d88a04b42}{zhxMeNMAQN2evKDlsA33qA}{fpYPTvJ6STmyqrgxlMkD_w}{10.255.0.47}{10.255.0.47:9300}{ml.machine_memory=1037410304, xpack.installed=true, ml.max_open_jobs=20}] from last-known cluster state; node term 0, last-accepted version 0 in term 0" }
es_elasticsearch.3.x8ouukovhh80#master | {"type": "server", "timestamp": "2019-04-25T16:28:48,818+0000", "level": "WARN", "component": "o.e.c.c.ClusterFormationFailureHelper", "cluster.name": "elk", "node.name": "0e7e4d96b31a", "message": "master not discovered yet, this node has not previously joined a bootstrapped (v7+) cluster, and this node must discover master-eligible nodes [192.168.99.100, 192.168.99.101] to bootstrap a cluster: have discovered []; discovery will continue using [192.168.99.100:9300, 192.168.99.101:9300] from hosts providers and [{0e7e4d96b31a}{Xs9966RjTEWvEbuj4-ySYA}{-eV4lvavSHq6JhoW0qWu6A}{10.255.0.48}{10.255.0.48:9300}{ml.machine_memory=1037410304, xpack.installed=true, ml.max_open_jobs=20}] from last-known cluster state; node term 0, last-accepted version 0 in term 0" }
I guess the cluster formation failed may be due to network configuration error. I don't know how to fix it, I try many times modify the config, fail and fail again.
try, this is working :) docker-compose.yml
version: "3.7"
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.2.0
hostname: "{{.Node.Hostname}}"
environment:
- node.name={{.Node.Hostname}}
- cluster.name=my-cluster
- "ES_JAVA_OPTS=-Xms2g -Xmx2g"
- discovery.seed_hosts=elasticsearch
- cluster.initial_master_nodes=node1,node2,node3
- node.ml=false
- xpack.ml.enabled=false
- xpack.monitoring.enabled=false
- xpack.security.enabled=false
- xpack.watcher.enabled=false
- bootstrap.memory_lock=false
volumes:
- elasticsearch-data:/usr/share/elasticsearch/data
deploy:
mode: global
endpoint_mode: dnsrr
resources:
limits:
memory: 4G
nginx:
image: nginx:1.17.1-alpine
ports:
- 9200:9200
deploy:
mode: global
command: |
/bin/sh -c "echo '
user nobody nogroup;
worker_processes auto;
events {
worker_connections 1024;
}
http {
client_max_body_size 4g;
resolver 127.0.0.11 ipv6=off;
server {
listen *:9200;
location / {
proxy_set_header Connection keep-alive;
set $$url http://elasticsearch:9200;
proxy_pass $$url;
proxy_set_header Host $$http_host;
proxy_set_header X-Real-IP $$remote_addr;
proxy_set_header X-Forwarded-For $$proxy_add_x_forwarded_for;
}
}
}' | tee /etc/nginx/nginx.conf && nginx -t && nginx -g 'daemon off;'"
volumes:
elasticsearch-data:
Trying to manually specify all the specific IP's and bindings is tricky because of the swarm overlaying network.
Instead, simply make your ES nodes discoverable and let Swarm take care of the node discovery and communication. To make them discoverable, we can use a predictable name like the Swarm node hostname.
Try change your environment settings in the swarm.yml file as follows:
environment:
- network.host=0.0.0.0
- discovery.seed_hosts=elasticsearch #Service name, to let Swarm handle discovery
- cluster.initial_master_nodes=master,cluster,cluster2 #Swarm nodes host names
- node.name={{.Node.Hostname}} #To create a predictable node name
This of course assumes that we already known the swarm hostnames, which you pointed out in the screenshot above. Without knowing these values, we would have no way of having a predictable set of node names to look for. In that case, you could create 1 ES node entry with a particular node name, and then another entry which references the first entry's node name as the cluster.initial_master_nodes.
Use dnsrr mode without ports. Expose elasticsearch with nginx ;)
See my docker-compose.yml
In my experience https://github.com/shazChaudhry/docker-elastic works perfectly, and just one file from the entire repo is enough. I downloaded https://github.com/shazChaudhry/docker-elastic/blob/master/docker-compose.yml and removed the logstash bits, I didn't need that. Then added the following to .bashrc
export ELASTICSEARCH_HOST=$(hostname)
export ELASTICSEARCH_PASSWORD=foobar
export ELASTICSEARCH_USERNAME=elastic
export ELASTIC_VERSION=7.4.2
export INITIAL_MASTER_NODES=$ELASTICSEARCH_HOST
And docker stack deploy --compose-file docker-compose.yml elastic works.
Ideas I gleaned from Ahmet Vehbi Olgaç 's docker-compose.yml, which worked for me:
Use deployment / mode: global. This will cause the swarm to deploy one replica to each swarm worker, for each node that is configured like this.
Use deployment / endpoint_mode: dnsrr. This will let all containers in the swarm access the nodes by the service name.
Use hostname: {{.Node.Hostname}} or a similar template-based expression. This ensures a unique name for each deployed container.
Use environment / node.name={{.Node.Hostname}}. Again, you can vary the pattern. The point is that each es node should get a unique name.
Use cluster.initial_master_nodes=*hostname1*,*hostname2*,.... Assuming you know the hostnames of your docker worker machines. Use whatever pattern you used in #3, but substitute out the whole hostname, and include all the hostnames.
If you don't know your hostnames, you can do what Andrew Cachia's answer suggests: set up one container (do not replicate it) to act solely as the master seed and give it a predictable hostname, then have all other nodes refer to that node as the master seed. However, this introduces a single point of failure.
Elasticsearch 8.5.0 answer.
For my needs, I didn't want to add a reverse-proxy/load balancer, but I do want to expose port 9200 on the swarm nodes where Elasticsearch replicas are running (using just swarm), so that external clients can access the Elasticsearch REST API. So I used endpoint mode dnsrr (ref) and exposed port 9200 on the hosts where the replicas run.
If you don't need to expose port 9200 (i.e., nothing will connect to the elasticsearch replicas outside of swarm), remove the ports: config from the elasticsearch service.
I also only want elasticsearch replicas to run on a subset of my swarm nodes (3 of them). I created docker node label elasticsearch on those three nodes. Then mode: global and constraint node.labels.elasticsearch==True will ensure 1 replica runs on each of those nodes.
I run kibana on one of those 3 nodes too: swarm can pick which one, since port 5601 is exposed on swarm's ingress overlay network.
Lines you'll likely need to edit are maked with ######.
# docker network create -d overlay --attachable elastic-net
# cat elastic-stack-env
#!/bin/bash
export STACK_VERSION=8.5.0 # Elasticsearch and Kibana version
export ES_PORT=9200 # port to expose Elasticsearch HTTP API to the host
export KIBANA_PORT=5601 # port to expose Kibana to the host
read -p "Enter elastic user password: " ELASTIC_PASSWORD
read -p "Enter kibana_system user password: " KIBANA_PASSWORD
export KIBANA_URL=https://kibana.my-domain.com:$KIBANA_PORT #######
export SHARED_DIR=/some/nfs/or/shared/storage/elastic #######
export KIBANA_SSL_KEY_PATH=config/certs/kibana.key
export KIBANA_SSL_CERT_PATH=config/certs/kibana.crt
export ELASTIC_NODES=swarm_node1,swarm_node2,swarm_node3 #######
# ELASTIC_NODES must match what docker reports from {{.Node.Hostname}}
export KIBANA_SSL_CERT_AUTH_PATH=config/certs/My_Root_CA.crt #######
export CLUSTER_NAME=docker-cluster
export MEM_LIMIT=4294967296 # 4 GB; increase or decrease based on the available host memory (in bytes)
# cat elastic-stack.yml
version: "3.8"
services:
elasticsearch:
image: localhost:5000/elasticsearch:${STACK_VERSION:?} ####### I have a local registry
deploy:
endpoint_mode: dnsrr
mode: global # but note constraints below
placement:
constraints:
- node.labels.elasticsearch==True
resources:
limits:
memory:
${MEM_LIMIT}
dns: 127.0.0.11 # use docker DNS only (may not be required)
networks:
- elastic-net
volumes:
- ${SHARED_DIR:?}/certs:/usr/share/elasticsearch/config/certs
- /path/to/some/local/storage/elasticsearch:/usr/share/elasticsearch/data
ports: ##### remove if nothing outside of swarm needs to access port 9200
- target: 9200
published: ${ES_PORT} # we publish this port so that external clients can access the ES REST API
protocol: tcp
mode: host # required when using dnsrr
environment: # https://www.elastic.co/guide/en/elasticsearch/reference/master/settings.html
# https://www.elastic.co/guide/en/elasticsearch/reference/master/docker.html#docker-configuration-methods
- node.name={{.Node.Hostname}} # see Andrew Cachia's answer
- cluster.name=${CLUSTER_NAME}
- discovery.seed_hosts=elasticsearch # use service name here, since (docker's) DNS is used:
# https://www.elastic.co/guide/en/elasticsearch/reference/current/important-settings.html#unicast.hosts
- cluster.initial_master_nodes=${ELASTIC_NODES} # use node.names here
# https://www.elastic.co/guide/en/elasticsearch/reference/current/important-settings.html#initial_master_nodes
- ELASTIC_PASSWORD=${ELASTIC_PASSWORD}
- xpack.security.enabled=true
- xpack.security.http.ssl.enabled=true
- xpack.security.http.ssl.key=certs/elasticsearch/elasticsearch.key
- xpack.security.http.ssl.certificate=certs/elasticsearch/elasticsearch.crt
- xpack.security.http.ssl.certificate_authorities=certs/ca/ca.crt
- xpack.security.http.ssl.verification_mode=certificate
- xpack.security.transport.ssl.enabled=true
- xpack.security.transport.ssl.key=certs/elasticsearch/elasticsearch.key
- xpack.security.transport.ssl.certificate=certs/elasticsearch/elasticsearch.crt
- xpack.security.transport.ssl.certificate_authorities=certs/ca/ca.crt
- xpack.security.transport.ssl.verification_mode=certificate
- xpack.license.self_generated.type=basic
healthcheck:
test:
[ "CMD-SHELL",
"curl -s --cacert config/certs/ca/ca.crt https://localhost:9200 | grep -q 'missing authentication credentials'",
]
interval: 10s
timeout: 10s
retries: 120
logging: # we use rsyslog
driver: syslog
options:
syslog-facility: "local2"
kibana:
# this service depends on the setup service (defined below), but docker stack has no
# way to specify dependencies, but more importantly, there's been a move away from this:
# https://stackoverflow.com/a/47714157/215945
image: localhost:5000/kibana:${STACK_VERSION:?} ######
hostname: kibana
deploy:
placement:
constraints:
- node.labels.elasticsearch==True # run KB on any one of the ES nodes
resources:
limits:
memory:
${MEM_LIMIT}
dns: 127.0.0.11 # use docker DNS only (may not be required)
networks:
- elastic-net
volumes:
- ${SHARED_DIR:?}/kibana:/usr/share/kibana/data
- ${SHARED_DIR:?}/certs:/usr/share/kibana/config/certs
ports:
- ${KIBANA_PORT}:5601
environment: # https://www.elastic.co/guide/en/kibana/master/settings.html
# https://www.elastic.co/guide/en/kibana/master/docker.html#environment-variable-config
# CAPS_WITH_UNDERSCORES must be used with Kibana
- SERVER_NAME=kibana
- ELASTICSEARCH_HOSTS=["https://elasticsearch:9200"]
- ELASTICSEARCH_USERNAME=kibana_system
- ELASTICSEARCH_PASSWORD=${KIBANA_PASSWORD}
- ELASTICSEARCH_SSL_CERTIFICATEAUTHORITIES=config/certs/ca/ca.crt
- SERVER_PUBLICBASEURL=${KIBANA_URL}
# if you don't want to use https/TLS with Kibana, comment-out
# the next four lines
- SERVER_SSL_ENABLED=true
- SERVER_SSL_KEY=${KIBANA_SSL_KEY_PATH}
- SERVER_SSL_CERTIFICATE=${KIBANA_SSL_CERT_PATH}
- SERVER_SSL_CERTIFICATEAUTHORITIES=${KIBANA_SSL_CERT_AUTH_PATH}
- TELEMETRY_OPTIN=false
healthcheck:
test:
[
"CMD-SHELL",
"curl -sIk https://localhost:5601 | grep -q 'HTTP/1.1 302 Found'",
]
interval: 10s
timeout: 10s
retries: 120
logging:
driver: syslog
options:
syslog-facility: "local2"
setup:
image: localhost:5000/elasticsearch:${STACK_VERSION:?} #######
deploy:
placement:
constraints:
- node.labels.elasticsearch==True
restart_policy: # https://docs.docker.com/compose/compose-file/compose-file-v3/#restart_policy
condition: none
volumes:
- ${SHARED_DIR:?}/certs:/usr/share/elasticsearch/config/certs
dns: 127.0.0.11 # use docker DNS only (may not be required)
networks:
- elastic-net
command: >
bash -c '
until curl -s --cacert config/certs/ca/ca.crt https://elasticsearch:9200 | grep -q "missing authentication credentials"
do
echo "waiting 30 secs for Elasticsearch availability..."
sleep 30
done
echo "setting kibana_system password"
until curl -s -X POST --cacert config/certs/ca/ca.crt -u elastic:${ELASTIC_PASSWORD} -H "Content-Type: application/json" https://elasticsearch:9200/_security/user/kibana_system/_password -d "{\"password\":\"${KIBANA_PASSWORD}\"}" | grep -q "^{}"
do
echo "waiting 10 secs before trying to set password again..."
sleep 10
done
echo "done"
'
logging:
driver: syslog
options:
syslog-facility: "local2"
networks:
elastic-net:
external: true
Deploy:
# . ./elastic-stack-env
# docker stack deploy -c elastic-stack.yml elastic
# # ... after Kibana comes up, you can remove the setup service if you want:
# docker service rm elastic_setup
Here's how I created the Elasticsearch CA and cert:
# cat elastic-certs.yml
version: "3.8"
services:
setup:
image: localhost:5000/elasticsearch:${STACK_VERSION:?} #######
volumes:
- ${SHARED_DIR:?}/certs:/usr/share/elasticsearch/config/certs
user: "0:0"
command: >
bash -c '
if [ ! -f certs/ca.zip ]; then
echo "Creating CA";
bin/elasticsearch-certutil ca --silent --pem -out config/certs/ca.zip;
unzip config/certs/ca.zip -d config/certs;
fi;
if [ ! -f certs/certs.zip ]; then
echo "Creating certs";
echo -ne \
"instances:\n"\
" - name: elasticsearch\n"\
" dns:\n"\
" - elasticsearch\n"\
" - localhost\n"\
" ip:\n"\
" - 127.0.0.1\n"\
> config/certs/instances.yml;
bin/elasticsearch-certutil cert --silent --pem -out config/certs/certs.zip --in config/certs/instances.yml --ca-cert config/certs/ca/ca.crt --ca-key config/certs/ca/ca.key;
unzip config/certs/certs.zip -d config/certs;
echo "Setting file permissions"
chown -R root:root config/certs;
find . -type d -exec chmod 750 \{\} \;;
find . -type f -exec chmod 640 \{\} \;;
fi;
sleep infinity
'
healthcheck:
test: ["CMD-SHELL", "[ -f config/certs/elasticsearch/elasticsearch.crt ]"]
interval: 1s
timeout: 5s
retries: 120
# . ./elastic-stack-env
# docker stack deploy -c elastic-certs.yml elastic-certs
# # ... ensure files are created under $SHARED_DIR/certs, then
# docker stack rm elastic-certs
How I created the Kibana cert is outside the scope of this question.
I run a Fluent Bit swarm service (mode: global, docker network elastic-net) to send logs to the elasticsearch service. Although outside the scope of this question, here's the salient config:
[OUTPUT]
name es
match <whatever is appropriate for you here>
host elasticsearch
port 9200
index my-index-default
http_user fluentbit
http_passwd ${FLUENTBIT_PASSWORD}
tls on
tls.ca_file /certs/ca/ca.crt
tls.crt_file /certs/elasticsearch/elasticsearch.crt
tls.key_file /certs/elasticsearch/elasticsearch.key
retry_limit false
suppress_type_name on
# trace_output on
Host elasticsearch will be resolved by docker's DNS server to the three IP addresses of the elasticsearch replicas, so there is no single point of failure.
i applied docker tutorial to set up a swarm.
I used docker toolbox, because i'm on windows 10 Family.
i step all statements, but at the end, the statement "curl ip_adress" doesn't run. error also with access on url.
$ docker --version
Docker version 18.03.0-ce, build 0520e24302
docker-compose.yml, located in /home/docker of virtual machine called "myvm1" :
version: "3"
services:
web:
# replace username/repo:tag with your name and image details
image: 12081981/friendlyhello:part1
deploy:
replicas: 5
resources:
limits:
cpus: "0.1"
memory: 50M
restart_policy:
condition: on-failure
ports:
- "80:80"
networks:
- webnet
networks:
webnet:
swarm :
$ docker-machine ssh myvm1 "docker stack ps getstartedlab"
ID NAME IMAGE NODE DESIRED STATE CURRENT STATE ERROR PORTS
blmx8mldam52 getstartedlab_web.1 12081981/friendlyhello:part1 myvm1 Running Running 9 seconds ago
04ctl86chp6o getstartedlab_web.2 12081981/friendlyhello:part1 myvm3 Running Running 6 seconds ago
r3qyznllno9j getstartedlab_web.3 12081981/friendlyhello:part1 myvm3 Running Running 6 seconds ago
2twwicjssie9 getstartedlab_web.4 12081981/friendlyhello:part1 myvm1 Running Running 9 seconds ago
o4rk4x7bb3vm getstartedlab_web.5 12081981/friendlyhello:part1 myvm3 Running Running 6 seconds ago
result of "docker-machine ls" :
NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS
default - virtualbox Running tcp://192.168.99.100:2376 v18.09.0
myvm1 * virtualbox Running tcp://192.168.99.102:2376 v18.09.0
myvm3 - virtualbox Running tcp://192.168.99.103:2376 v18.09.0
test with curl
$ curl 192.168.99.102
curl: (7) Failed to connect to 192.168.99.102 port 80: Connection refused
How do i do to debug ?
I can give more information, if you want.
Thanks in advance.
Use of the routing mesh in Windows appears to be an EE only feature right now. You can monitor this docker for windows issue for more details. The current workaround is to use DNSRR internally and publish ports to the host directly instead of with the routing mesh. If you want your application to be reachable from any node in the cluster, this means you'd need to have a service on ever host in the cluster, scheduled globally, listening on the requested port. E.g.
version: "3.2"
services:
web:
# replace username/repo:tag with your name and image details
image: 12081981/friendlyhello:part1
deploy:
# global runs 1 on every node, instead of the replicated variant
mode: global
# DNSRR skips the VIP normally assigned to services
endpoint_mode: dnsrr
resources:
limits:
cpus: "0.1"
memory: 50M
restart_policy:
condition: on-failure
ports:
- target: 80
published: 80
protocol: tcp
# host publishes the port directly from the container without the routing mesh
mode: host
networks:
- webnet
networks:
webnet:
Problem
I'm trying to set up JetBrains Hub, Youtrack, Upsource and Teamcity in a docker container and configure each to be available on their own IP (macvlan) at the default ports 80 redirected to 443 and 443 for HTTPS (so the port numbers do not show up in the browser).
However if I do that I get:
Could not listen on address 0.0.0.0 and port 443
Leaving the teamtools on their default ports 8080 and 8443 works or giving them ports over 2000 seems to work as well.
I checked with fuser 443/tcp and netstat -tulpn but there is nothing running on port 80 or 443. (had to install the packages for those in the container)
I tried setting the listening address to the NICs IP or 172.0.0.1 but this is refused as well:
root#teamtools [ /opt/teamtools ]# docker run --rm -it \
-v /opt/hub/data:/opt/hub/data \
-v /opt/hub/conf:/opt/hub/conf \
-v /opt/hub/logs:/opt/hub/logs \
-v /opt/hub/backups:/opt/hub/backups \
jetbrains/hub:2018.2.9840 \
configure --listen-address=192.168.1.211
* Configuring JetBrains Hub 2018.2
* Setting property 'listen-address' to '192.168.1.211' from arguments
[APP-WRAPPER] Failed to configure Hub: java.util.concurrent.ExecutionException: com.jetbrains.bundle.exceptions.BadConfigurationException: Could not listen on address {192.168.1.211} . Please specify another listen address in property listen-address
Question:
Why can I not set ports 80 and 443?
Why does it work for ports over
2000?
How can I make this work without a reverse proxy?
(reverse-proxy comes with a whole bunch of other issues, that I'm trying to avoid with this setup)
Setup
ESXi 6.7 Host
- vSwitch0 (Allow promiscuous mode: Yes)
- port group: VM Netork (Allow promiscuous mode: No)
- other VMs
- port group: Promiscuous Ports (Allow promiscuous mode: Yes)
- Teamtools VM (Photon OS 2.0, IP: 192.168.1.210)
- firewall based on: https://unrouted.io/2017/08/15/docker-firewall/
- docker/docker-compose
- hub (IP: 192.168.1.211:80/443)
- youtrack (IP: 192.168.1.212:80/443)
- upsource (IP: 192.168.1.213:80/443)
- teamcity-server (IP: 192.168.1.214:80/443)
- teamcity_db (MariaDB 10.3) (IP: 192.168.1.215:3306)
docker-compose.yml
version: '2'
networks:
macnet:
driver: macvlan
driver_opts:
parent: eth0
ipam:
config:
- subnet: 192.168.1.0/24
gateway: 192.168.1.1
services:
hub:
# set a custom container name so no more than one container can be created from this config
container_name: hub
image: "jetbrains/hub:2018.2.9840"
restart: unless-stopped
volumes:
- /opt/hub/data:/opt/hub/data
- /opt/hub/conf:/opt/hub/conf
- /opt/hub/logs:/opt/hub/logs
- /opt/hub/backups:/opt/hub/backups
- /opt/teamtools:/opt/teamtools
expose:
- "80"
- "443"
- "8080"
- "8443"
networks:
macnet:
ipv4_address: 192.168.1.211
domainname: office.mydomain.com
hostname: hub
environment:
- "JAVA_OPTS=-J-Djavax.net.ssl.trustStore=/opt/teamtools/certs/keyStore.p12 -J-Djavax.net.ssl.trustStorePassword=xxxxxxxxxxxxxx"
...
Upsource is running by user jetbrans, which is non-root.
https://www.w3.org/Daemon/User/Installation/PrivilegedPorts.html
I have deployed two docker containers which hosts two REST services deployed in Jetty.
Container 1 hosts service 1 and it Listens to 7070
Container 2 hosts service 2 and it Listens to 9090
Endpoints:-
service1:
/ping
/service1/{param}
service2:
/ping
/service2/callService1
curl -X GET http://localhost:7070/ping [Works]
curl -X GET http://localhost:7070/service1/hello [Works]
curl -X GET http://localhost:9090/ping [Works]
I have configured the containers in such a way that:
http://localhost:9090/serivce2/callService1
calls
http://localhost:7070/service1/hello
This throws a connection refused exception. Here's the configuration I have.
docker-compose.yml
------------------
service1:
build: microservice/
ports:
- "7070:7070"
expose:
- "7070"
service2:
build: microservice_link/
ports:
- "9090:9090"
expose:
- "9090"
links:
- service1
service1 Dockerfile
-------------------
FROM localhost:5000/java:7
COPY ./target/service1.jar /opt
WORKDIR /opt
ENTRYPOINT ["java", "-jar", "service1.jar","7070"]
CMD [""]
service2 Dockerfile
-------------------
FROM localhost:5000/java:7
COPY ./target/service2.jar /opt
WORKDIR /opt
ENTRYPOINT ["java", "-jar", "service2.jar","9090"]
CMD [""]
docker info
-----------
root#LT-NB-108U:~# docker info
Containers: 3
Running: 2
Paused: 0
Stopped: 1
Images: 12
Server Version: 1.10.1
Storage Driver: aufs
Root Dir: /var/lib/docker/aufs
Backing Filesystem: extfs
Dirs: 28
Dirperm1 Supported: false
Execution Driver: native-0.2
Logging Driver: json-file
Plugins:
Volume: local
Network: null host bridge
Kernel Version: 3.13.0-48-generic
Operating System: Ubuntu precise (12.04.5 LTS)
OSType: linux
Architecture: x86_64
CPUs: 4
Total Memory: 3.47 GiB
Name: LT-NB-108U
ID: BS52:XURM:3SD7:TC3R:7YVA:ZBZK:CCL2:7AVC:RNZV:RBGW:2X2T:7C46
WARNING: No swap limit support
root#LT-NB-108U:~#
Question:-
I am trying to access the endpoint deployed in Container 1 from Container 2. However, I get a connection refused exception.
I tried exposing port 7070 in container 2. That didn't work.
curl http://service1:7070/
use - host1_name:inner_port_of_host1
That host is called "service1" in container2. Use that as the host name and the port is the inner port listener in service1's container.
If you have an express server on service1, listen on port 7070.