5 ms·

I'm trying to understand why people pushing using of docker in the cloud instead of dedicated server. In the cloud it adds additional unnecessary level of abstr

I'm trying to understand why people pushing using of docker in the cloud instead of dedicated server. In the cloud it adds additional unnecessary level of abstraction.

IgorPartola 13y ago
Dedicated hardware typically has a large upfront cost. Also, it's a fixed resource, so for some workloads the "cloud" is more flexible (whether that be simple VPS's with quick provisioning a la DigitalOcean or AWS). From what I understand the overhead in performance is negligible, while giving you very fine grained control over your resources. Say you have a web application, a front-end reverse proxy, a database, a cache, a background worker process, and a message queue. Throw all these components into separate containers on a single server while the load is low. Then move the DB container into a separate VPS as your traffic grows. Or try doing an upgrade of the message queue in a brand new container, and if it fails, just don't use it. Sure, you can do the same thing with a VPS, but then you are paying the per-hour fee for it, while 99.99% of its resources will go unused.
nickstinemates 13y ago
I don't think anyone is saying use it instead of, at least not here at Docker. I think what we're saying is that in addition to using awesome IaaS services, you can use Docker to solve any number of issues like utilization, deployment, etc., whether they be with your existing providers, on bare metal, or on OpenStack (which can do both.) I personally have a Linode VPS where I continuously run about 30-40 containers powering the various services/demos I create. I'm looking forward to migrating to the new offering.
fragmede 13y ago
Would it help to think of docker as a VM with significantly lower overhead? (Yeah, yeah, technically, it's not...) You're already running VMs with 1-service per-VM for the sanity of dev-ops, right? Instead of 1 VM per-service, with docker, you can make 1 larger host, run 1-service per-docker container, and get more performance out of a single machine.

I'm trying to understand why people pushing using of docker in the cloud instead of dedicated server. In the cloud it adds additional unnecessary level of abstraction.

IgorPartola 13y ago

Dedicated hardware typically has a large upfront cost. Also, it's a fixed resource, so for some workloads the "cloud" is more flexible (whether that be simple VPS's with quick provisioning a la DigitalOcean or AWS). From what I understand the overhead in performance is negligible, while giving you very fine grained control over your resources. Say you have a web application, a front-end reverse proxy, a database, a cache, a background worker process, and a message queue. Throw all these components into separate containers on a single server while the load is low. Then move the DB container into a separate VPS as your traffic grows. Or try doing an upgrade of the message queue in a brand new container, and if it fails, just don't use it. Sure, you can do the same thing with a VPS, but then you are paying the per-hour fee for it, while 99.99% of its resources will go unused.

nickstinemates 13y ago

I don't think anyone is saying use it instead of, at least not here at Docker. I think what we're saying is that in addition to using awesome IaaS services, you can use Docker to solve any number of issues like utilization, deployment, etc., whether they be with your existing providers, on bare metal, or on OpenStack (which can do both.) I personally have a Linode VPS where I continuously run about 30-40 containers powering the various services/demos I create. I'm looking forward to migrating to the new offering.

fragmede 13y ago

Would it help to think of docker as a VM with significantly lower overhead? (Yeah, yeah, technically, it's not...) You're already running VMs with 1-service per-VM for the sanity of dev-ops, right? Instead of 1 VM per-service, with docker, you can make 1 larger host, run 1-service per-docker container, and get more performance out of a single machine.