Mesos 中文文档是最初由数人云 CTO 肖德时和「徐磊，谢乐冰，张亮，周伟涛」在业余时间发起并维护的，目的是提供一个围绕 Mesos 的理论+实践的知识共享平台，做到人人贡献、人人受益。

学习 marathon的入门书籍。mesos+marathon是很流行的docker编排工具，此文档对于学习marathon有很大帮助

Apache Mesos and Kubernates are often compared directly to each other as container orchestrators, but they were built with very different goals in mind.

DCOS之marathon技术文档,DCOS之marathon技术文档,DCOS之marathon技术文档

mesos集群+zk集群本地部署方案，有助于了解mesos配置和zk配置。

Mesos：大数据资源调度与大规模容器运行最佳实践

Mesos实战

We present Mesos, a platform for sharing commodity clusters between multiple diverse cluster computing frameworks, such as Hadoop and MPI. Sharing improves cluster utilization and avoids per-framework data replication. Mesos shares resources in a fine-grained manner, allowing frameworks to achieve data locality by taking turns reading data stored on each machine. To support the sophisticated schedulers of today’s frameworks, Mesos introduces a distributed two-level scheduling mechanism called resource offers. Mesos decides how many resources to offer each framework, while frameworks decide which resources to accept and which computations to run on them. Our results show that Mesos can achieve near-optimal data locality when sharing the cluster among diverse frameworks, can scale to 50,000 (emulated) nodes, and is resilient to failures.