InfoQ Homepage The InfoQ Podcast Content on InfoQ
-
Michael Feathers: Looking Back at Working Effectively with Legacy Code
Wes Reisz and Michael Feathers go back and review the book. The two spend some time reviewing key concepts from the book and then discuss how the techniques can be applied today. The two wrap up with a discussion on what might change in a new version of the book.
-
Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning
In this podcast Dr Phil Winder, CEO of Winder Research, sits down with InfoQ podcast co-host Charles Humble. They discuss: the history of Reinforcement Learning (RL); the application of RL in fields such as robotics and content discovery; scaling RL models and running them in production; and ethical considerations for RL.
-
Clare Liguori on Automating Safe and “Hands-Off” Deployments at AWS
In this podcast Clare Liguori, principal software engineer at Amazon Web Services, sat down with InfoQ podcast host Daniel Bryant and discussed the implementation of continuous delivery at AWS, the use of automation and deploying to multiple test environments, and the benefits of canary releasing.
-
Carin Meier Using Machine Learning to Combat Major Illnesses, Such as the Coronavirus
Carin Meier of Reify Health sits down with Wesley Reisz and discusses how machine learning is being used to combat major illnesses (such as the coronavirus). After a short discussion on some of the work being done today, the two shift into a discussion on the challenges of working with healthcare data and machine learning. Topics around safety, ethics, and explainability are discussed.
-
Anubhav Mishra and Nic Jackson on Platforms, Developer Workflows, and HashiCorp Waypoint
In this podcast, Anubhav Mishra and Nic Jackson from HashiCorp sat down with InfoQ podcast host Daniel Bryant. Topics discussed included: the benefits and challenges of creating application platforms in the cloud, the need for effective developer workflows, and the role of the new HashiCorp Waypoint tool and service meshes within workflows