Build & maintain complex distributed systems
17–18 October 2017: Training
18–20 October 2017: Tutorials & Conference
London, UK
 
Westminster Suite/Belgrave
Add Developing and operating serverless applications to your personal schedule
9:00 Developing and operating serverless applications Michael Hausenblas (Red Hat)
Hilton Meeting Room 1/2
Add Data science for effective operations to your personal schedule
9:00 Data science for effective operations Heinrich Hartmann (Circonus)
Hilton Meeting Room 13 / 14
Add Kubernetes training to your personal schedule
9:00 Kubernetes training Sebastien Goasguen (Bitnami)
10:30 Morning | Room: TBD
15:00 Afternoon Break | Room: TBD
12:30 Lunch | Room: Amsterdam Cafe
9:00-17:00 (8h)
Developing and operating serverless applications
Michael Hausenblas (Red Hat)
Serverless—also known as function as a service (FaaS)—is going mainstream, and now is a good time to learn how and when to use it. Michael Hausenblas covers serverless use cases, offerings, development, and operational aspects, using AWS Lambda as the environment.
9:00-17:00 (8h)
Data science for effective operations
Heinrich Hartmann (Circonus)
Gathering telemetry data is key to operating reliable distributed systems at scale. Data science is the art of extracting information from large amounts of data. Heinrich Hartmann explores a wide range of data analysis methods (both theoretical and practical) that can make you more effective at an operations task.
9:00-17:00 (8h)
Kubernetes training
Sebastien Goasguen (Bitnami)
Kubernetes is becoming the leading platform for building distributed applications. Sebastien Goasguen walks you through the architecture of a Kubernetes installation, covering the API objects that make up a distributed application, basic operations of Kubernetes primitives, and advanced scheduling scenarios and production concerns.
10:30-11:00 (30m)
Break: Morning
15:00-15:30 (30m)
Break: Afternoon Break
12:30-13:30 (1h)
Break: Lunch