InfoQ Homepage QCon Software Development Conference Content on InfoQ
-
A Taste of Random Decision Forests on Apache Spark
Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.
-
Evolving a Data System
Simon Metson approaches the problem of evolving a data system; some patterns and anti-patterns both technical (polyglot systems, lambda architectures) and organisational (data silos, lava layers).
-
Don’t Let Data Gravity Crush Your Infrastructure
Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.
-
How SoundCloud Uses Cassandra
Emily Green is taking a look at how SoundCloud uses Cassandra. She describes a couple of Cassandra instances, from the point of view of the products and functionality they support.
-
Making Continuous Delivery Work for You: The Songkick Experience
Amy Phillips explains how the core principles can be used to drive process change and how their team removed many of the delays and frustrations from their release process.
-
Implementing Continuous Delivery: Adjusting Your Architecture
Rachel Laycock focuses on the architecture of an application, addressing patterns such as microservices and evolutionary architecture, which can speed up delivery.
-
UI as a Service: Breaking Down the Web with oEmbed and Web Components
Dan Glegg presents the tools that Riot has developed to deliver user interfaces as a service.
-
HTTP/2 and a Faster Web
Omer Shapira introduces HTTP/2 (and SPDY), exploring the impact the protocol has on application design, and telling the story of LinkedIn adopting SPDY on its network infrastructure.
-
An Architect’s World View
Colin Garlick presents a foundation of value for the practice of architecture, starting with the values that architecture is established on, showing what's important for an architecture.
-
Treat Your Code as a Crime Scene
Adam Tornhill teaches how to predict bugs, detect architectural decay and find the code that is most expensive to maintain, how to evaluate knowledge drain in a codebase, and much more.
-
Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
-
Evolutionary Architecture and Microservices - A Match Enabled by Continuous Delivery
Rebecca Parsons explores the relationship between evolutionary architecture, continuous delivery and microservices, focusing on how they support each other in the creation of complex systems.