InfoQ Homepage Presentations
-
Microservices: State of the Union
Adrian Cockcroft discusses success/failure stories of adopting microservices, overviews what’s next with microservices and presents some of the techniques that have led to successful deployments.
-
The Netflix API Platform for Server-Side Scripting
Katharina Probst talks about the situations in which server-side scripting is a good solution for applications. She describes Netflix’s first approach, which uses Groovy scripts.
-
A Darwinian Approach to APIs in Government Health
Bruce Haefele shares from the successes and failures implementing an API strategy at Healthdirect Australia.
-
Strategy Deployment, Lean & Kanban for Innovation & Entrepreneurship in Government
Agustin Villena, and Manuel Cepeda discuss using Lean principles and Kanban tools to empower the Chilean government teams to embrace uncertainty and achieve/surpass defined objectives.
-
Handling Streaming Data in Spotify Using the Cloud
Neville Li and Igor Maravić cover the evolution of Spotify’s event delivery system, discussing lessons learned moving it into the cloud using Scio, a high level Scala API for the Dataflow SDK.
-
Implementing Software Machines in Go and C
Eleanor McHugh discusses writing virtual machines using hardware emulation, including code snippets in Go and C.
-
Image Processing for iOS
Simon Gladman overviews some of the image processing techniques available to iOS developers and three frameworks offered by Apple: Core Image, Accelerate/vImage and Metal.
-
Why Functional Programming Matters
John Hughes takes a deep dive into the history of functional programming to revisit a personal selection of highlights.
-
Vowpal Wabbit, A Machine Learning System
John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.
-
Large-Scale Stream Processing with Apache Kafka
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.
-
Online Data Mining and Machine Learning
Edo Liberty presents some basic concepts and an introduction to the subfields of machine learning and data mining.
-
Incident Response: Trade-offs Under Pressure
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.