The fork/join framework in Java 7 – The H Developer: News and Features
When should the new ForkJoinPool be preferred to the old ThreadPoolExecutor and when is it better to let it be? This article explores the major new features in the Java 7 fork/join framework and compares its performance in two practical applications
Fork/Join Framework vs. Parallel Streams vs. ExecutorService: The Ultimate Fork/Join Benchmark | Takipi Blog
How does the Fork/Join framework act under different configurations? Benchmark results following 260 test runs against Parallel Streams and ExecutorService
• The Data is the API
Beyond REST – DZone Integration
A collection of resources and explanations of several concepts common to architecture and enterprise integration.
The Netflix Tech Blog: Fault Tolerance in a High Volume, Distributed System
by Ben Christensen In an earlier post by Ben Schmaus, we shared the principles behind our circuit-breaker implementation. In that post, Ben discusses how the Netflix API interacts with dozens of systems in our service-oriented architecture, which makes the API inherently more vulnerable to any …
Why Go Still Foils the Computers
Facebook and Google are working to enable computers to play the game of Go, an especially complex game that dates back over 2,500 years
Pascoe’s crystal ball readings for 2016
Michael Pascoe’s tongue-in-cheek Almanac 2016.
"Big Data" is no where to be seen the hype cycle 2015 mean that the most talked about big data related technologies are now into practice and no more a hype.
"Machine Learning" made its first appearance on the chart this year, but already past the peak of inflated expectations and now takes the place of Big Data.
The hype cycle gives us an idea of which of these technologies actually survive the market hype and have a potential to become a part of our daily life. The emerging technologies is based on the assessment of maturity, duration for adoption, business benefit and future direction of more than 2,000 technologies, grouped into 112 areas.
Five regions of Gartner's Hype cycle:
• Innovation Trigger (potential technology breakthrough kicks off)
• Peak of Inflated Expectations (Success stories through early publicity)
• Trough of Disillusionment (waning interest)
• Slope of Enlightenment (2nd & 3rd generation products appear)
• Plateau of Productivity (Mainstream adoption starts)
Open source in 2015: A year of growth
Our open source growth wouldn’t have been possible without the contributions of more than 3,400 developers — the majority of whom were external.
The great chain of being sure about things
The technology behind bitcoin lets people who do not know or trust each other build a dependable ledger. This has implications far beyond the cryptocurrency