InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Getting Data Science to Production
Sarah Aerni covers the nuts and bolts of the Einstein Platform, a system that enables the automation and scaling of Artificial Intelligence to 1000s of customers, each with multiple models.
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Service-Oriented Development
Rafael Schloming talks about how the real goal of microservices is to break up a monolithic development workflow. He shows how to build software enabling to move fast and make things.
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ML for Question and Answer Understanding @Quora
Nikhil Dandekar discusses how Quora extracts intelligence from questions using machine learning, including question-topic labeling, removing duplicate questions, ranking questions & answers, and more.
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Making a Bigger Impact: Important Skills to Master
Ariya Hidayat discusses the significance of tracking scopes and deliverables of a project, how to invoke changes to an organization, and how to improve the narrative of communication.
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IOT and Edge Compute at Chick-fil-A
Brian Chambers talks about how Chick-fil-A architected the IoT platform and created a digital ecosystem that enables their business to deploy IoT solutions to restaurants.
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Design for Continuous Evolution
Eric Brewer explores continuous evolution -adding features easily to a running service- a key to high velocity in development, focusing on immutability to decouple specification from instantiation.
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Go Programming Language
Dave Cheney discusses the Go language: writing and interpreting benchmarks, using performance tools built into the Go runtime, GC and writing GC-friendly code.
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Scaling Slack
Bing Wei examines the limitations that Slack's back-end ran into and how they overcame them to scale from supporting small teams to serving large organizations of hundreds and thousands of users.
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Towards Memory Safety in Intel SGX Enclave
Yu Ding discusses Rust SGX SDK which combines Intel SGX together with Rust. Developers could write memory-safe SGX enclave easily, eliminating the possibility of being pwned intrinsically.
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The Why of Go
Carmen Andoh provides the historical context around the technical decisions of the Go language to better understand its concurrency primitives, garbage collection, and small standard library.
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Monitoring Modern Architectures with Data Science
Dave Casper talks about how modern data science and algorithms are being applied to "fight machines with machines".
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Avoiding Alerts Overload from Microservices
Sarah Wells shares the experiences of reaching over 150 microservices in production after starting to build a microservices-based system from scratch only two years go. She offers tips and tricks.
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