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Development

Featured in Development

The 2018 InfoQ Editors’ Recommended Reading List: Part Two

As part of our core values of sharing knowledge, the InfoQ editors were keen to capture and share our book and article recommendations for 2018, so that others can benefit from this too. In this second part we are sharing the final batch of recommendations

All in development

Architecture & Design

Featured in Architecture & Design

Tanya Reilly on Site Reliability Engineering and the Evolution of the New York City Fire Code

Tanya Reilly discusses her research into how the fire code evolved in New York and draws on some of the parallels she sees in software. Along the way, she discusses what it means to be an SRE, what effective aspects of the role might look like, and her opinions on what we as an industry should be doing to prevent disasters.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Genetic Programming in the Real World: A Short Overview

Leonardo Trujillo overviews how GP can be used to solve ML tasks intended as a starting point for applied researchers and developers.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Author Q&A on the Book Project to Product by Mik Kersten

Mik Kersten has published a book, Project to Product, in which he describes a framework for delivering products in the age of software. Drawing on research and experience with many organisations across a wide range of industries, he presents the Flow Framework™ as a way for organisations to adapt their product delivery to the speed of the market.

All in culture-methods

DevOps

Featured in DevOps

What Machine Learning Can Learn from DevOps

The fact that machine learning development focuses on hyperparameter tuning and data pipelines does not mean that we need to reinvent the wheel or look for a completely new way. According to Thiago de Faria, DevOps lays a strong foundation: culture change to support experimentation, continuous evaluation, sharing, abstraction layers, observability, and working in products and services.

All in devops

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Nitin Bharti

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Topics

The 2018 InfoQ Editors’ Recommended Reading List: Part Two

Tanya Reilly on Site Reliability Engineering and the Evolution of the New York City Fire Code

Genetic Programming in the Real World: A Short Overview

Author Q&A on the Book Project to Product by Mik Kersten

What Machine Learning Can Learn from DevOps

Helpful links

QCons from around the world

Choose your language

Nitin Bharti

Summary

The 2018 InfoQ Editors’ Recommended Reading List: Part Two

Git 2.20 Brings Improved Workflows and Performance

Using Golang to Build Microservices at The Economist: A Retrospective

Tanya Reilly on Site Reliability Engineering and the Evolution of the New York City Fire Code

Buckets, Funnels, Mobs and Cats or: How We Learned to Love Scaling Apps to the Cloud

KubeCon 2018: The Return of SQL

Connecting Business Challenges and Emerging Technologies

Author Q&A on the Book Project to Product by Mik Kersten

Q&A with Christoph Windheuser on AI Applications in the Industry

ScyllaDB Announces Major Release of its NoSQL Database and Support for Concurrent OLTP and OLAP

Genetic Programming in the Real World: A Short Overview

Women in AI & Blockchain

DockerCon EU 2018 Summary: Migration Tooling, Docker Desktop Enterprise and More

What Machine Learning Can Learn from DevOps

Microsoft Announces New Features and Integrations for Azure Pipelines

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Nitin Bharti

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