Build & maintain complex distributed systems
October 1–2, 2017: Training
October 2–4, 2017: Tutorials & Conference
New York, NY

Velocity 2-day training courses

All training courses take place 9:00am - 5:00pm, Sunday, October 1-Monday, October 2. In order to maintain a high level of hands-on learning and instructor interaction, each training course is limited in size.

Participants should plan to attend both days of this 2-day training course. Training passes do not include access to tutorials on Monday.

Sunday, October 1 - Monday, October 2

Add to your personal schedule
9:00am - 5:00pm Sunday, October 1 & Monday, October 2
Location: Madison Level: Intermediate
Yevgeniy Brikman (Gruntwork)
Terraform is a key tool for managing infrastructure as code across a variety of platforms, including AWS, Google Cloud, and Azure. Yevgeniy Brikman gets you up and running with Terraform using real-world examples. You'll learn how to deploy servers, DBs, and load balancers on AWS, build immutable infrastructure with Docker and Packer, and put it all together in a continuous delivery pipeline. Read more.
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9:00am - 5:00pm Sunday, October 1 & Monday, October 2
Location: Clinton Level: Intermediate
Sebastien Goasguen (Bitnami)
Kubernetes, one of the highest velocity projects on GitHub, is quickly becoming the leading platform on which to build distributed applications. Sebastien Goasguen offers a Kubernetes primer, covering the architecture of a Kubernetes installation, the API objects that make up a distributed application on Kubernetes, and more. Read more.
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9:00am - 5:00pm Sunday, October 1 & Monday, October 2
Location: Morgan Level: Beginner
Michael Hausenblas (Red Hat)
Go has established itself as a popular language for systems programming, services, and tools, and more people are using Go for tasks that would traditionally have been solved using Python or Ruby. Michael Hausenblas teaches you Go from scratch and walks you through how to use it for system tasks such as batch file operations, container inspection, and access control automation. Read more.