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Rust 2017 Roadmap Progress

by Sergio De Simone on  Jul 08, 2017

Rust core team developer Nicholas Matsakis summarized the current state of progress of Rust’s 2017 roadmap.

Capture - Embed - Protect, Guidelines for Domain-Driven Design

by Jan Stenberg on  Jul 07, 2017

When using the core philosophy and the practices of DDD as guidelines for software design and development, they can be summarized in three principles: Capture – Embed – Protect, Steven A. Lowe claimed in his presentation at this year’s DDD eXchange conference. Capture the domain model. Embed the model in the code. Protect the domain model from corruption from other domains.

Electronic Frontier Foundation Measuring Progress of Artificial Intelligence

by Roland Meertens on  Jul 07, 2017

The Electronic Frontier Foundation (EFF) started a document containing progress artificial intelligence (AI) research on multiple tasks. The goal of the document is to be the place for people to find progress on difficult tasks. Currently, many tasks don't have the metrics, datasets, and benchmarks to keep track of them. The EFF made a notebook to which researchers and developers can contribute.

Eric Han, VP at Portworx, Speaks to InfoQ on the State of the Hyperconverged Container Market

by Michael Redlich on  Jul 07, 2017

InfoQ speaks to Portworx VP of product management, Eric Han, about the direction of the container market and differentiators between the growing number of hyperconverged container platforms in the market.

QCon New York: Evaluating Machine Learning Models - A Case Study in Real Estate

by Srini Penchikala on  Jul 04, 2017

Opendoor, a real estate company that helps customers with buying and selling homes, uses machine learning techniques to drive pricing models. Nelson Ray, data scientist at Opendoor, spoke at QCon New York 2017 Conference about how they developed a simulation-based framework for reasoning about machine learning models to assess the risk in reselling homes.

Java Module Platform System (JSR 376) Passes the Public Review Reconsideration Ballot

by Michael Redlich on  Jul 04, 2017

Almost two months after the failure of the original JSR 376 public review ballot to pass, the JCP executive committee has now overwhelmingly passed the recent reconsideration ballot. Tim Ellison, senior technical staff member at IBM, and Martijn Verburg, co-founder of the London Java Community and CEO of jClarity, spoke to InfoQ about the significant changes that led to a successful vote.

QCon New York - IoT and Edge Compute at Chick-fil-A

by Srini Penchikala on  Jul 03, 2017

Internet of Things (IoT) and Edge Computing technologies drive the architecture at Chick-fil-A. Brian Chambers, enterprise architect at the restaurant chain company, spoke at QCon New York 2017 Conference about how they use edge and cloud services. He also discussed the design principles they follow in their applications: security, open API, and scalability.

QCon New York Day 2 – Developer Experience Track Summary

by Shane Hastie on  Jul 03, 2017

Day 2 of QCon New York had a Developer Experience track which looked at ways to simplify the development process and provide ideas around removing friction, reducing the time from code to production and becoming more efficient in developer practices.

Developing Skills for Amazon Echo Show

by Sergio De Simone on  Jul 02, 2017

The recently introduced Amazon Echo Show provides developers new opportunities to develop skills that integrate voice control, visual feedback, and tactile input. David Isbitski, Amazon chief evangelist for Alexa, summarized the key points of developing Alexa skills for the Echo Show.

A Series of Unfortunate Container Events at Netflix: Andrew Spyker and Amit Joshi at QCon NYC

by Daniel Bryant on  Jul 02, 2017

At QCon New York 2017,  Andrew Spyker and Amit Joshi presented “A Series of Unfortunate Container Events at Netflix”. Key takeaways from running production workloads within containers running on the AWS Cloud include: expect problematic containers and workloads; there is continued need for cloud to evolve for containers; and it has been worth the effort due to value containers unlock.

Removing Friction in the Developer Experience: Adrian Trenaman Shares Experience from HBC at QCon NY

by Daniel Bryant on  Jul 01, 2017

At QCon New York 2017 Adrian Trenaman presented “Removing Friction in the Developer Experience” in the new “Developer Experience: Level up Your Engineering Effectiveness” track. Key takeaways included: minimise the distance between “hello, world” and production; seek out and remove friction in your engineering process; and give freedom-of-choice and freedom-of-movement to your engineers.

Personalized Notifications at Twitter

by Andrew Morgan on  Jun 30, 2017

Gary Lam, staff engineer at Twitter, spoke about personalized notifications at QCon London 2017. This involved giving a high-level overview of their personalization and recommendations algorithms, and an explanation of how they work at scale despite the large volumes of data and bi-modal nature of Twitter.

The "Paved Road" PaaS for Microservices at Netflix: Yunong Xiao at QCon NY

by Daniel Bryant on  Jun 30, 2017

At QCon New York 2017, Yunong Xiao presented “The Paved PaaS to Microservices at Netflix” which discussed how the Netflix Platform as a Service (PaaS) assists with maintaining the balance between the culture of freedom and responsibility and the overall organisational goals of velocity and reliability.

Running a Presidential Campaign with Immutable Infrastructure: Michael Fisher at QCon NY

by Daniel Bryant on  Jun 30, 2017

At QCon New York 2017 Michael Fisher presented “Presidential Campaigns & Immutable Infrastructure” and discussed the implementation and challenges of provisioning infrastructure for the Hillary for America (HFA) campaign that ran during the 2015-2016 US regional and national elections.

Why the JVM is a Good Choice for Serverless Computing: John Chapin Discusses AWS Lambda at QCon NY

by Daniel Bryant on  Jun 30, 2017

At QCon New York John Chapin presented “Fearless AWS Lambdas”, and not only argued that the JVM is a good platform on which to deploy serverless code, but also provided guidance on extracting the best performance from Java-based AWS Lambda functions.

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