Loading…
This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
Visit the OpenStack Summit page for the latest news, registration and hotels.
View analytic
Wednesday, November 5 • 09:50 - 10:30
Troubleshooting Problems in Heat Deployments

Sign up or log in to save this to your schedule and see who's attending!

Designed to deploy composite cloud applications, the OpenStack Heat orchestration engine is a convenient and powerful automation tool.  Unfortunately, when a failure happens during the provisioning and configuration of resources, diagnosing the cause of the problem can be a difficult proposition for the end user. In this talk, we first describe a number of ad hoc troubleshooting techniques which Heat users have been resorting to that have proved effective as well as the new enhancements delivered with the Juno release that could make this process easier.

In addition, we will describe recent proposals made by the community aiming to mitigate the troubleshooting pain, including a template debugger inspired by debuggers for traditional programming languages and making the OpenStack logs available to the end users for debugging.  Finally, we will propose a new approach for troubleshooting a wide range of failures by analyzing (1) the OpenStack logs as they are made available to the end users, (2) snapshots of the cloud state, and (3) the HOT template itself and demonstrate end-to-end scenarios helping end users diagnose the error, fix the template, and successfully redeploy.

Speakers
avatar for Ton Ngo

Ton Ngo

Senior Developer, IBM
Ton Ngo is a senior developer at the IBM Silicon Valley Lab, building cloud solution for customers for the past 8 years using IBM cloud orchestration products. Since the OpenStack Summit in Hong Kong, he has been working on Heat, focusing on improving support for template troubleshooting and translating TOSCA template to HOT. Currently he is working on Magnum, focusing on load balancer, autoscaling and networking for container. Previously, he was... Read More →
FO

Fabio Oliveira

Research Staff Member, IBM Research
Fabio Oliveira is a Research Staff Member of the Cloud DevOps Department at the IBM T.J. Watson Research Center. He earned a PhD degree in Computer Science from Rutgers University in 2010. His research interests include systems management, distributed systems, and operating systems.
avatar for Winnie Tsang

Winnie Tsang

Software Developer, IBM
Winnie Tsang is a software developer at IBM Silicon Valley Lab, who start contributing to Heat in the Juno cycle. Currently, she is focusing on enhancing the support for heat template debugging.


Wednesday November 5, 2014 09:50 - 10:30
Room 253

Attendees (83)