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Detlef Vollmann explores the performance and scalability issues of atomic<T> and possible solutions to overcome them.
Ajit Jaokar discusses data science and IoT: sensor data, real-time processing, cognitive computing, integration of IoT analytics with hardware, IoT’s impact on healthcare, automotive, wearables, etc.
The authors present how Shazam releases faster, more predictable and with more features by using BDD and automation testing, without slowing down or hindering the development process.
Every developer knows the pain of incompatible software. By using Docker executable images developers can take advantage of container technology to better control their development environments.
San Francisco 2015, Nov 16 - 20
London 2016, Mar 07 - 11
New York 2016, Jun 13 - 17
Ember-Data, the Way Forward
Dec 29, 2013
Ember.js Advanced Patterns
Dec 20, 2013
Complex Architectures in Ember
Dec 14, 2013
Ember Reusable Components and Widgets
Dec 06, 2013
Insights from Using Ember.js in the Field
Dec 02, 2013
Experiences Building a Hypervideo-based Web App with Ember.js, Popcorn.js and HTML5
Nov 24, 2013
Productive Out-of-the-Box with Ember.js
Nov 13, 2013
Query Params with the Ember Router: Past, Present and Future
Nov 04, 2013
Atomic Counters or A Lesson on Performance and Hardware Concurrency
New JVM Support for Generating Mixed-Mode Flame Graphs
Actors for CyberThings
Machine Learning and IoT
How We Build Rock-solid Apps and Keep 100M+ Users Happy at Shazam
Which Kanban Practices Can Deliver Value When Used next to Mainstream Agile Method?
Agile Goal Setting with OKR - Objectives and Key Results
Executable Images - How to Dockerize Your Development Machine
Breaking Bad at Netflix: Building Failure as a Service
10 Properties Defining Software Architecture
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