Nomad hands-on

Docker and rkt have made it easy to package and ship applications, but running them at scale remains a challenge. Anubhav Mishra leads a hands-on dive into Nomad, a single binary cluster scheduler that can be used to build a multiregion, self-healing production environment that runs a diverse set of workloads, including noncontainerized applications.

Docker and rkt have made it easy to package and ship applications, but running them at scale remains a challenge. And not all organizations have the bandwidth to containerize their workloads. Anubhav Mishra leads a hands-on dive into Nomad, a single binary cluster scheduler that can be used to build a multiregion, self-healing production environment that runs a diverse set of workloads, including noncontainerized applications. Along the way, Anubhav explores use cases and problems solved by using cluster schedulers and demonstrates why Nomad is designed with operational simplicity and heterogeneous workloads as its core design tenets. Anubhav then spends time destructively testing applications scheduled in Nomad against different types of failures (process failure, machine failure, network connectivity issues, loss of quorum, etc.) and other challenging situations that are likely to happen in a production environment. You’ll gain experience writing and submitting job specifications, interacting with the API, and deployment strategies. Topics include: