InfoQ Homepage Companies Content on InfoQ
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It’s a Multi-cloud World, But What About the Data?
Pulkit Chandra, Nikhil Chandrappa demo a microservices application deployed in an active-active setup across two PCF foundation, and show how PCC handles data replication as well as failure.
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Intel's Cloud-Native Transformation
Liel Chayoun and Roi Ezra discuss Intel’s transition to cloud-native and microservices.
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PCF Data Collection for TBM
Chris Busch and Raj Sivaraj overview the foundation data collection needs of Mastercard, and how data is collected and provided back to product teams with critical expense data for show-back.
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Real-World Transformation Experiences at StubHub
George Loyer tells the story how StubHub moved to PCF, bringing value to Ops, Engineering, Architecture, Product Management, Business Owners and Execs.
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Journey to Cloud Architecture
Dylan Smith discusses the architectural challenges faced turning TFS into Azure DevOps, the evolution of the architecture, and lessons learned along the way.
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From Content Management to Content Services with Spring Boot, Data and Content
Doug Hoke, Paul Warren discuss building Content Services on PCF with Spring Boot, Data and Content.
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Accelerating the Consumption of APIs Built on Cloud Foundry
Prithpal Bhogill discusses using APIs with a microservices architecture, covering API lifecycle, and accelerating the consumption of APIs built on Cloud Foundry.
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Migrating from Big Data Architecture to Spring Cloud
Lenny Jaramillo discusses how Northern Trust migrated to PCF, highlighting how this helped them accelerate the delivery of functionality to their customers.
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Crisis to Calm: Story of Data Validation @ Netflix
Lavanya Kanchanapalli discusses safe data propagation at Netflix, circuit breakers, data canaries and staggered rollout effective, and efficient validations via sharing data and isolating change.
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Extreme Pipelines
Cory Jett, William Marchlewski discuss how Mastercard built a CF pipeline, the current state, and what the future holds for automation.
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Human-centric Machine Learning Infrastructure @Netflix
Ville Tuulos discusses the tools Netflix built for the data scientists and some of the challenges and solutions made to create a paved road for machine learning models to production.
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Building Resilience in Production Migrations
Sangeeta Handa shares Netflix’s migration stories, what helped them build resilience, why resilience is important, and what Netflix Billing Infrastructure is doing to avoid taking downtime.
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