Building Applications on Mesos by David Greenberg

By David Greenberg

How can Apache Mesos make a distinction on your association? With this functional consultant, you'll learn the way this cluster supervisor directs your datacenter's assets, and gives actual time APIs for interacting with (and constructing for) the total cluster. You'll easy methods to use Mesos as a deployment process, like Ansible or Chef, and as an execution platform for construction and web hosting higher-level functions, like Hadoop.

Author David Greenberg indicates you the way Mesos manages all your datacenter as a unmarried logical entity, putting off the necessity to assign fastened units of machines to functions. You'll speedy detect why Mesos is the last word DevOps tool.

- comprehend Mesos structure, and learn the way it manages CPU, reminiscence, and different assets throughout a cluster
- construct an program on best of Mesos with Marathon, a platform for web hosting companies on Mesos
- Create new, production-ready frameworks for Mesos
- Write a customized executor to supply richer interplay among the Mesos scheduler and workers
- Dive into complex subject matters, together with the reconciliation strategy, Docker integration, dynamic reservations, and protracted volumes
- know about today's Mesos projects that might most likely develop into tomorrow's features

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Example text

For these examples, we’ll assume that we’ve configured HTTP Basic authentication for a user principal admin, and that the appropriate ACLs have been configured. First we’ll write some JSON, specifying the resources to reserve (see Example 2-1). Example 2-1. json [ { "name": "cpus", "type": "SCALAR", "scalar": { "value": 1 }, "role": "prod", "reservation": { "principal": "admin" } }, { "name": "mem", "type": "SCALAR", "scalar": { "value": 4096 }, "role": "prod", "reservation": { Roles | 19 "principal": "admin" } }, { "name": "cpus", "type": "SCALAR", "scalar": { "value": 2 }, "role": "qa", "reservation": { "principal": "admin" } }, { "name": "mem", "type": "SCALAR", "scalar": { "value": 1024 }, "role": "qa", "reservation": { "principal": "admin" } } The HTTP API specifies resources the same way as the Mesos resource protobuf.

Snip ... "container": { "type": "DOCKER", "docker": { "image": "group/image", "network": "HOST" } } } Since Mesos will continue to add new container types, such as Rocket or KVM containers, much of the container configuration isn’t Docker-specific. Here, we must specify that we’ll provide Docker-specific configuration, because this is a DOCKER container. 2 We’re going to run Docker in host networking mode; this means that Docker is using the slave’s networking resources directly. Once the Docker container launches, it’ll also have access to the Mesos sandbox directory, which will be available in the environment variable $MESOS_SANDBOX.

There are also a few downsides to this approach. One is that you need to carefully maintain the mapping from service to port. If you try to store that mapping globally and have applications fetch it on startup, you’ll have to write custom code for every language again. On the other hand, if you hardcode the ports themselves, you run the risk of typos, which can be very difficult to debug. The other downside is the lack of coordination between proxies. Our system contin‐ ues to function even when partial failures happen, because each machine operates independently.

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