Derek Collison discusses some of the technologies and approaches for building a self-healing infrastructure: Intelligent layer 7 SDN with semantic awareness, distributed scheduling algorithms, policy distribution and invalidation, health monitoring and management, self healing techniques, and the role of unsupervised deep machine learning and anomaly detection.
Dianne Marsh describes how Netflix' tooling, especially the continuous delivery system, allows them to build scaffolding enabling software developers to make the decision to push the button for prod deployment - and helps them to recover if necessary. As a result, they can run fast, trusting their tooling and culture.
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
Avleen Vig discusses the changes Etsy has implemented to scale continuous deployments over the last 12 months, in both software and infrastructure.
Derek Collison discusses technologies and approaches for obtaining a fluid infrastructure that has the level of plasticity needed to heal itself and provide higher level SLAs for apps and services.
Jez Humble presents some observations on plant floor engineering and operations, deriving the behaviors, rituals and processes that are essential to fast flow in software development. (audio quality is degraded from the 26m mark for 14m)
Josh Long introduces some of the latest Spring features supporting HATEOAS-compliant and OAuth-secured REST services, NoSQL and Big Data, Websockets, OAuth, open-web security and mobile.
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis.
Baraa Basata introduces Ansible, comparing it with Chef and Capistrano and exploring automation principles: disposable servers, package management, and applying design principles to infrastructure.
Alex Raitt, Clive Saha present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software. They also discuss various technology stacks and their advantages, including batch-based processing, real-time analytics, and NoSQL systems.
Joakim Recht discusses how Tradeshift moved from manual deployment processes to automation and what this means in terms of organizational scalability, technology, transparency, and culture.
Nellwyn Thomas discusses how Etsy is using A/B testing, how Etsy's data-driven culture has evolved over time and how continuous delivery and big data can coexist.