Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Last updated : Apr 24, 2019
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2019
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

HashiCorp continues to release interesting software. We've featured HashiCorp Vault in March 2017, and tools related to Terraform are all over this edition of the Radar. We've moved Nomad to Trial because we've had positive experiences using it. While Kubernetes continues to gain traction, we like Nomad's general applicability. It's not just limited to running containerized workloads but can be used to schedule just about anything. Java and Golang are supported natively as well as batch and distributed cron jobs. We like its focus on multi- and hybrid-cloud operations, something likely to become more important to avoid sticky clouds and the fact that it does scheduling well.

Nov 2016
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.

HashiCorp continues to turn out interesting software. The latest to catch our attention is Nomad, which is competing in the ever-more-populated scheduler arena. Major selling points include not just being limited to containerized workloads, and operating in multi–data center / multiregion deployments.

Apr 2016
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.
Published : Apr 05, 2016

Download the PDF

 

 

English | Español | Português | 中文

Sign up for the Technology Radar newsletter

 

Subscribe now

Visit our archive to read previous volumes