Lisa Phillips discusses the typical struggles a company runs into when building around-the-clock incident operations and the things Fastly has put in place to make dealing with incidents easier.
Charity Majors talks about what it means to do quality operations and software engineering in the year 2016 and beyond, as well as the implications for engineering teams and social systems.
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
Nivesh Gopathi describes the use cases for dynamic configuration and application secrets management, and how GapTech are solving these at scale using Spring Cloud Config, Vault and Consul.
Clint Checketts discusses the concerns to consider when rolling out a config server around security, encryption, and location of repositories, and Config Server's extensibility.
Josh Evans talks about the chaotic and vibrant world of microservices at Netflix, exploring the cultural, architectural, and operational methods that lead to microservice mastery.
John Allspaw provides a glimpse into how other fields handle incident response, including active steps companies can take to support engineers in those uncertain and ambiguous scenarios.
Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.
Josh Evans uses the Netflix Operations Engineering team as a case study to explore the challenges faced by centralized engineering teams and approaches to addressing those challenges.
Michael Brunton-Spall shows how DevOps-like patterns can be applied on microservices to give the development teams more responsibility for their choices, and much more.
Dustin Huptas, Andreas Schmidt present some of the operational challenges met when dealing with microservices, and offer solutions from the field of automation and service discovery.
John Wilkes shares lessons learned managing clusters at the scale of Google.