* Docker support in Mesos:
* Users now can launch executors/tasks within Docker containers.
* Mesos now supports running multiple containerizers simultaneously. The slave
can dynamically choose a containerizer to launch containers based on the
configuration of executors/tasks.
* Container level network monitoring for mesos containerizer:
* Network statistics for each active container can be retrieved through the
/monitor/statistics.json endpoint on the slave.
* Completely transparent to the tasks running on the slave. No need to change
the service discovery mechanism for tasks.
mesosphere/kubernetes-mesos - 0 views
mesos/CHANGELOG at master · apache/mesos - 0 views
mlafeldt/chef-runner - 0 views
Home · sileht/razor-wiki Wiki - 0 views
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"Razor is an advanced provisioning application which can deploy both bare-metal and virtual systems. It's aimed at solving the problem of how to bring new metal into a state where your existing DevOps/configuration management workflows can take it over. Newly added machines in a Razor deployment will PXE-boot from a special microkernel image, then check in, provide Razor with inventory information, and wait for further instructions. Razor will consult user-created policy rules to choose which preconfigured model to apply to a new node, which will begin to follow the model's directions, giving feedback to Razor as it completes various steps. Models can include a handoff to a configuration management system or to another system capable of controlling the node (such as a vCenter server taking possession of ESX systems)."
Vessel - 0 views
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."
Panamax: Docker Management for Humans - 0 views
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