InfoQ Homepage Cloud Computing Content on InfoQ
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From Zero to a Full Docker-Based IT Teams
Rachid Zarouali discusses their adoption of Docker, the tooling used, and how it helped them in their development and ops work.
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It's Not Continuous Delivery if You Can't Deploy Right Now
Ken Mugrage argues that CD is done when code is deployed in production, providing code management strategies, deployment patterns, and types of CD pipelines.
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CRI Runtimes Deep Dive: Who's Running My Kubernetes Pod!?
Phil Estes discusses CRI implementations and gives a hands-on demonstration of how Kubernetes, the CRI, and CRI-supporting runtimes work together to handle the container lifecycle within their K8 pods
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Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
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Optimizing for Production Workloads
S. Ortiz & D. Walsh discuss breaking down the containers runtimes into their base functionality and then building them up into a series or core libraries and tools to specialize in core capabilities.
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Serverless and Java in the Real World
John Chapin describes the nuts and bolts of building large-scale serverless applications using Java, showcasing the efficiency of Java and several examples of scalable, evolvable, Lambda apps
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Building a Cloud-Native Compliance Culture
CeeCee O'Connor, Chuck D'Antonio discuss building a compliance engine with Concourse, keeping their teams focused on their application code and minimizing the effort they put into compliance.
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Quickly Build Spring Boot Applications to Consume Public Cloud Services
Prasad Bopardikar , Colin Stevenson discuss creating Spring Boot apps that can be deployed on PCF on various public clouds.
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Automated PCF Upgrades with Concourse
Rich Ruedin discusses the benefits of implementing automated pipelines for upgrades and how to make sure a platform is behaving as intended.
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Orchestrating Data Microservices with Spring Cloud Data Flow
Mark Pollack discusses how to create data integration and real-time data processing pipelines using Spring Cloud Data Flow and deploy them to multiple platforms – Cloud Foundry, Kubernetes, and YARN.
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Models in Minutes not Months: AI as Microservices
Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.
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Continuous Deployment Made Easy with Skipper
Mark Pollack discusses building continuous delivery pipelines using existing CI products and application repositories by adding Skipper.
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