at a certain scale an abstraction becomes necessary to let developers
and operators focus on generic “computation jobs” instead of managing and
configuring hosts and their processes.
Collins - Infrastructure Management for Engineers - 0 views
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"Collins exists to drive infrastructure automation. Someone recently asked me to describe collins in a sentence. At Tumblr, it's the infrastructure source of truth and knowledge. Everything about Tumblr production environments is stored and encoded in Collins, and that data is used to drive all of our automation. Sometimes people refer to systems like this as a CMDB, or Configuration Management DataBase. Collins started as a system to manage all of the physical servers, switches, racks, etc in Tumblr production environments. As we started to inventory hardware, IP addresses, software, and so on, we found the API and data gave us an excellent way to drive automation processes. Today Collins can do push button cluster (HBase, Hadoop, web, etc) deployment, drive configuration generation when hardware cluster topologies change, drive infrastructure updates when software configuration changes, and help manage software deploys. Because of the loosely coupled design of Collins, consistently applied conventions are a system requirement. This document serves as a guide to those conventions as well as the basic core concepts of the collins system. If you're just interested in the basic howto or screenshots, click here."
Clustering CoreOS with Vagrant - 0 views
Setting up a Multi-Node Mesos Cluster running Docker, HAProxy and Marathon with Ansible... - 0 views
Architecture - Flynn - 0 views
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Systems with a scheduler at their core use the scheduler to run everything. It is the interface to the resources of the cluster.
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A scheduling system
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MAAS: Metal As A Service - MAAS 1.5 documentation - 0 views
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"Metal as a Service - MAAS - lets you treat physical servers like virtual machines in the cloud. Rather than having to manage each server individually, MAAS turns your bare metal into an elastic cloud-like resource. What does that mean in practice? Tell MAAS about the machines you want it to manage and it will boot them, check the hardware's okay, and have them waiting for when you need them. You can then pull nodes up, tear them down and redeploy them at will; just as you can with virtual machines in the cloud. When you're ready to deploy a service, MAAS gives Juju the nodes it needs to power that service. It's as simple as that: no need to manually provision, check and, afterwards, clean-up. As your needs change, you can easily scale services up or down. Need more power for your Hadoop cluster for a few hours? Simply tear down one of your Nova compute nodes and redeploy it to Hadoop. When you're done, it's just as easy to give the node back to Nova. MAAS is ideal where you want the flexibility of the cloud, and the hassle-free power of Juju charms, but you need to deploy to bare metal."
Vessel - 0 views
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