Ofqnb4282zo1 myredis_visualizer replicated 1/1 dockersamples/visualizer:stable *:8080->8080/tcpīkxd3aklxhj7 myredis_web replicated 5/5 ajeetraina/redis-flask:latest *:8000->8000/tcp Verifying the Services $ docker service ls Clone the Repository git clone Ĭd dockerlabs/solution/redis/viz-web-redisĭocker stack deploy -c docker-compose.yml myredis I assume that 5-Node Swarm Cluster have been up and running on top of DO Platform. Deploying Redis 6.0 RC1 on 5 Node Swarm Cluster W7p4ezqbk13ks4圓sor4ppeml * demo1 Ready Active Leader 19.03.5ĭia0ylrodgbn0n1zcv7ckel8n demo2 Ready Active 19.03.5Īs shown above, using Docker context CLI, one can now easily deploy containerized workload on remote DigitalOcean platform in just few seconds. ID HOSTNAME STATUS AVAILABILITY MANAGER STATUS ENGINE VERSION NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATORĭefault * Current DOCKER_HOST based configuration unix:///var/run/docker.sock (default) kubernetes Sudo systemctl daemon-reload Restart Docker. Using docker context sudo systemctl edit rviceĮxecStart=/usr/bin/dockerd -H unix:///var/run/docker.sock -H tcp://10.140.0.6:2375 ? > doctl compute droplet list -format "ID,Name,PublicIPv4"īring up Node #1 docker-machine create -driver digitalocean -digitalocean-access-token 3xxxxxx49ab97229d node1ĭocker swarm init -advertise-addr -listen-addr īring up Node #2 docker-machine create -driver digitalocean -digitalocean-access-token 3xxxxxff149ab97229d node2 ID Name Public IPv4 Private IPv4 Public IPv6 Memory VCPUs Disk Region Image Status Tags Features VolumesĬreating a new Debian Instance doctl compute droplet create test -size s-1vcpu-1gb -image debian-10-圆4 -region nyc1
Retrieving DO Account Information ? > doctl account getĮmail Droplet Limit Email Verified UUID 10 true e1785fe2-d4f5-4d54-9e67-47dddddddddf46 activeĭoctl is able to interact with all of your DigitalOcean resources. Method #1: Using doctl ? > doctl auth init
DOCKER FOR MAC PORT 2375 INSTALL
It uses the DigitalOcean API to provide access to most account and Droplet features. It is the official DigitalOcean command-line client. It is basically a Python wrapper for the Digital Ocean CLI utility.
But as Droplets gets piled up, it might become tedious to manage & administer them, hence doctl is a great weapon which you can leverage. Doctl is Awesome.ĭigitalOcean’s web-based control panel provides a point-and-click interface for managing Droplets. All the functionality available in the DigitalOcean Control Panel is also available through the API. The DigitalOcean API lets you manage DigitalOcean resources programmatically using conventional HTTP requests. Each Droplet you create is a new server you can use, either standalone or as part of a larger, cloud-based infrastructure. These Droplets are Linux-based virtual machines (VMs) that run on top of virtualized hardware. I stumbled upon DO few weeks back and I have been quite impressed around its offerings. With DO, you get chance to build more and spend less time managing your infrastructure with easy-to-use control panel and API. If you’re a developer & looking out for speedy way to spin up your choice of virtual machine in less than 1 minute, DO is the right platform. DigitalOcean (sweetly called “DO”) is “Docker Developer’s Platform”.
0 kommentar(er)
