Ready for the real environment experience?
Agents in a DC/OS cluster can be assigned attributes. Attributes are a kind of metadata that you can use to organize your infrastructure. Attributes can be used to indicate which physical server rack an agent resides in, what special hardware or software capabilities an agent has access to or anything else that can be useful in identifying agents. The Marathon container orchestration tool can incorporate attribute constraints when it schedules applications in the cluster. By using attributes to constrain Marathon container scheduling in DC/OS you will launch fault-tolerant, resource-aware container applications in this Lab.
Upon completion of this Lab you will be able to:
- Assign attributes to agents in a DC/OS cluster
- Write Marathon application definitions with constraints
- Diagnose Marathon scheduling failures in the DC/OS GUI
You should be familiar with:
- Basic DC/OS concepts including master nodes, agents, services, tasks, and Marathon
- Working at the command-line in Linux
- AWS services knowledge is useful in order to understand the architecture of the pre-created DC/OS cluster, but not required
Before completing the Lab instructions, the environment will look as follows:
After completing the Lab instructions, the environment should look similar to:
October 2nd, 2020 - Replaced CoreOS virtual machines (no longer available in AWS) with CentOS
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.