InfoQ Homepage Cloud Computing Content on InfoQ
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Cyber-dojo: Executing Your Code for Fun and Not-for Profit!, Part 2
Jon Jagger introduces cyber-dojo.org, an open source environment for practicing programming, demoing its features and discussing its history, design, underlying technology, difficulties and future.
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Cyber-dojo: Executing Your Code for Fun and Not-for Profit!, Part 1
Jon Jagger introduces cyber-dojo.org, an open source environment for practicing programming, demoing its features and discussing its history, design, underlying technology, difficulties and future.
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Containers at Netflx - An Evolving Story
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
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Inside Yelp's SOA Infrastructure
Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.
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Demystifying the Cloud - 2015 Edition
D'Arcy Lussier discuses cloud computing, what has happened lately in this field, where it is going, with details on Azure, AWS, GCP, and others.
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Deliver With Confidence: 10 Practical Tips to Streamline Your Delivery Pipeline
David Alpert shares 10 tips on streamlining the delivery pipeline to make the process fast and smooth.
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Light and Fluffy APIs in the Cloud
Shiva Narayanaswamy discusses event driven architectures, serverless architectures, identity management and security related to building APIs in the cloud.
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The Death of Continuous Integration
Steve Smith compares and contrasts different types of Feature Branching and Trunk Based Development, and explains why Continuous Delivery without Continuous Integration is not working.
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Writing a Kubernetes Autoscaler with Groovy and Spring Boot
Ray Tsang shares his experience in writing a custom metrics collector plus an autoscaler using Groovy and Spring Boot, deployed as containerized microservices in Kubernetes.
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Disciplined Agile Delivery (DAD): The Foundation for Scaling Agile
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.
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The Lego Model for Machine Learning Pipelines
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
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Lean’ing Towards Continuous Delivery
Adam Krieger discusses improving CD: using feedback to improve customer satisfaction, treating DevOps as a responsibility, discovering the mindset and toolset necessary to deliver successfully.
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