Trevor Lalish-Menagh shares his experience introducing Kanban, what has worked and what hasn’t.
Andrew Godwin tells Lanyrd’s story, covering the technology stack, tricks used, and what they would do differently if they could start afresh.
David Craelius tells the story of Klarna building an online payment system in Erlang and their approach to solving the nightmare of technical debt accumulated during a period of fast expansion.
Jay Kreps discusses the evolution of LinkedIn's architecture and lessons learned scaling from a monolithic application to a distributed set of services, from one database to distributed data stores.
Marc Frons discusses the New York Times’ digital subscription model. Rajiv Pant shares their experiences transitioning to continuous delivery, and using NodeJS, Scala, cloud and big data.
Climbing Out of a Crisis Loop: How a Critical BBC Back-end Team Reigned in a Workflow Crisis-to-crisis Cycle
Rafiq Gemmail and Katherine Kirk tell the story of a BBC team which worked out of a severe crisis loop by bending the Agile 'rules' and combining multiple Agile and JFDI 'methods'.
Benjamin Mitchell shares experiences gained working with teams over the last five years, highlighting mistakes that were made following simplistic guidance and outlining key pragmatic examples that worked.
Dan North shares insight on how really high-performing teams work, the patterns and ideas being genuine experiences from practitioners. This is Agile in actuality. Agile is an attitude, not a rule book.
Glen Ford shares from his technical experience in industry, and particularly from his learning at zeebox, Unibet and BBC R&D over the last few years - focusing on practical application.
Paul Downey explains what they did to redirect all traffic from DirectGov and Business Link to gov.uk, along with the tools, techniques and testing involved for the operation to succeed.
John Esser and Russell Barnett discuss Ancestry.com’s SOA implementation capable of supporting continuous delivery, architectural standards used, and how continuous delivery works for them.
Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB.