Do you use same version of tool on DEV and PROSDUCTION? Docker host environment parity (As I mentioned, we must use orchestration tool, how to ensure we use same version not only docker)
current state Place docker container on an appropriate machine based on unit file and services which are already worked on cluster Scheduling & deploy docker container Monitor & failover container service
ɾ.BDIJOF.FUBEBUB ɾ(MPCBM Machine that hosts a specific unit. Machine with this specific metadata. Prevent a unit from being collocated with other units. Schedule this unit on all agents in the cluster.
SUB lb.service 4cadccf1.../172.20.20.101 active running web@8001service 4cadccf1.../172.20.20.101 active running web@8002service 4cadccf1.../172.20.20.102 active running web@8003service 4cadccf1.../172.20.20.104 active running grafana.service 06664657.../172.20.20.103 active running influx.service 06664657.../172.20.20.103 active running
Do you use same version of tool on DEV and PROSDUCTION? Docker host environment parity (As I mentioned, we must use orchestration tool, how to ensure we use same version not only docker)
Do you use same version of tool on DEV and PROSDUCTION? Docker host environment parity (As I mentioned, we must use orchestration tool, how to ensure we use same version not only docker) cloud-config
terraform Build CoreOS cluster Using a demo application container which is just serving static HTML file Deploy demo application by fleet Deploying multiple demo application containers and Load Balancing it By using LB container with confd Scale out demo application
terraform Build CoreOS cluster Using a demo application container which is just serving static HTML file Deploy demo application by fleet Deploying multiple demo application containers and Load Balancing it By using LB container with confd Scale out demo application
cloud + bare metal is supported and encouraged. CoreOS runs on almost any platform Cluster size will be changed based on growing service and request loads Cluster size will be changed
terraform Build CoreOS cluster Using a demo application container which is just serving static HTML file Deploy demo application by fleet Deploying multiple demo application containers and Load Balancing it By using LB container with confd Scale out demo application
terraform Build CoreOS cluster Using a demo application container which is just serving static HTML file Deploy demo application by fleet Deploying multiple demo application containers and Load Balancing it By using LB container with confd Scale out demo application
C :80 :8888 :9999 etcd D1 D2 1PSU*1 1PSU*1 Discovery service Registering Port & IP of demo app When deploying demo app service, we also deploy discovery service.
C :80 :8888 :9999 etcd W1’ W2’ 1PSU*1 1PSU*1 { fleet { 9'MFFU.BDIJOF0G D1 D2 Discovery service Registering Port & IP of demo app We can use fleet (X-Fleet’s MachineOf).
C :80 :8888 :9999 etcd W1’ W2’ 1PSU*1 1PSU*1 { fleet { 9'MFFU.BDIJOF0G D1 D2 Discovery service Registering Port & IP of demo app How LB uses etcd value for its configuration ?
C :80 :8888 :9999 etcd W1’ W2’ 1PSU*1 1PSU*1 { fleet { 9'MFFU.BDIJOF0G D1 D2 Discovery service Registering Port & IP of demo app We can use confd and generate nginx .conf file dynamically. 1PSU*1 LFMTFZIJHIUPXFSDPOGE Manage local application configuration files using templates and data from etcd