30:42
The Five Stages of Cloud Native
Casey West talks about anti-patterns and corresponding best practices based on his experience building application infrastructure and platforms, as well as the applications which are deployed to them.
59:07
Exploring Wikipedia with Apache Spark: A Live Coding Demo
Sameer Farooqui demos connecting to the live stream of Wikipedia edits, building a dashboard showing what’s happening with Wikipedia datasets and how people are using them in real time.
42:50
Applying Big Data
Graeme Seaton discusses the drivers behind Big Data initiatives and how to approach them using the vast amounts of data available.
33:35
Apache Beam: The Case for Unifying Streaming APIs
Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.
32:33
Business Process Orchestration & APIs
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
44:51
Is Mesos DC/OS a Better Way to Run Docker on AWS?
Chien Huey evaluates Marathon running on DC/OS as a replacement for Elastic Beanstalk and/or ECS in terms of functionality, ease of use as well as cost.
47:56
Implementing Infrastructure as Code
Kief Morris discusses building and maintaining a testing and hosting infrastructure for microservices, explaining the creation of a cloud-based infrastructure with Packer, Terraform, and Ansible.
45:33
Effortless Eventual Consistency with Weave Mesh
Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.
56:46
Future of Container-Enabled Infrastructure
Brandon Philips describes how bringing containers, schedulers, and distributed systems together will create more reliable and greatly more trusted server infrastructures.
26:58
Creating Customer-Centric Products Using Big Data
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
54:56
Server-Less Design Patterns for the Enterprise with AWS Lambda
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.
46:33
Implementing Software Machines in Go and C
Eleanor McHugh discusses writing virtual machines using hardware emulation, including code snippets in Go and C.
