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Development

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Tiny Go: Small Is Going Big

Ron Evans talks about TinyGo - a compiler for Go, written in Go itself, that uses LLVM to achieve very small, fast, and concurrent binaries that can also target devices where Go could never go before. The talk includes live coding of devices, RISC-V, WebAssembly, and a drone, to show some of what can be done today using TinyGo.

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Architecture & Design

Featured in Architecture & Design

Realtime APIs: Mike Amundsen on Designing for Speed and Observability

In a recent apidays webinar, Mike Amundsen, trainer and author of the recent O’Reilly book “API Traffic Management 101”, presented “High Performing APIs: Architecting for Speed at Scale”. Drawing on recent research by IDC, he argued that organisations will have to drive systemic changes in order to meet the upcoming increased demand of consumption of business services via APIs.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Applying Machine Learning to Financial Payments

Tamsin Crossland discusses how Machine Learning can be applied to Payments to respond rapidly to known and emerging patterns of fraud, and to detect patterns of fraud that may not otherwise be identified. She covers techniques that have been used and are emerging in fraud detection including rule-based techniques, supervised learning and unsupervised learning.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Q&A on the Book Further, Faster

Businesses that thrive over the long term can focus on just a few things that truly matter to their teams and core customers. The book Further, Faster by Bill Flynn provides ideas for business leaders to build teams, create a strategy to stay close to customers, and manage a company’s growth with cash as the primary metric.

All in culture-methods

DevOps

Featured in DevOps

Operating Pivotal Application Service at Scale

Yusuke Kondo, Akinori Nitta explain the challenges faced and solutions experienced to run and manage a large-scale platform.

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Andre Langevin

Profile page created Sep 21, 2016

Topics

Tiny Go: Small Is Going Big

Realtime APIs: Mike Amundsen on Designing for Speed and Observability

Applying Machine Learning to Financial Payments

Q&A on the Book Further, Faster

Operating Pivotal Application Service at Scale

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Andre Langevin

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Tiny Go: Small Is Going Big

Q&A with New Relic Regarding Open Sourcing Agents and a Future of Open Instrumentation

RavenDB 5 Improves Distributed Time-Series, Document Compression, and Indexing

Realtime APIs: Mike Amundsen on Designing for Speed and Observability

Eventuate Platform Adds Support for Micronaut, Enhanced Developer Tooling and Improved Performance

Panel: the Correct Number of Microservices for a System Is 489

Q&A on the Book Further, Faster

Justin Dauer on Creative Culture

Brenda - an Artificial Intelligence Team Member

Applying Machine Learning to Financial Payments

State of the Art in Automated Machine Learning

AI Conference Recap: Facebook, Google, Microsoft, and Others at ACL 2020

Operating Pivotal Application Service at Scale

Managing Systems in an Age of Dynamic Complexity

Q&A with Jeff Keyes of Plutora on the Transformative Impact of Value Stream Management

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Andre Langevin

Summary