InfoQ Homepage Presentations
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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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Building Responsive Systems with Serverless, Event-Driven Java
Asir Selvasingh, Richard Seroter discuss building a responsive Java system using an even-driven architecture with Boot, Event Hubs, Cosmos DB, App Service, PCF, Functions and Spring Cloud Functions.
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The Cloud Challenge
Richard Moran discusses how Fidelity Investments is leveraging people, process and technology to tackle cultural and technological problems and take on the cloud challenge.
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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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Service Ownership @Slack
Holly Allen talks about the bumps and scrapes, triumphs and pitfalls of Slack’s journey from a centralized ops team to development teams that own the full lifecycle of their systems.
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Serverless and Chatbots: A Match Made in the Cloud
Gillian Armstrong uses practical examples from their chatbot and shares some of the lessons they learned which help starting a chatbot.
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Chaos Engineering - What Is It, and Where It's Going
Adrian Cockcroft keynotes on Chaos Engineering, what it is, what it is good for and where it is heading.
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Whispers in the Chaos: Monitoring Weak Signals
J. Paul Reed looks at what the safety sciences have to say about humans operating complex socio-technical systems, including how resilience engineering can help, and more.
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DevOps for the Database
Baron Schwartz explores real-life stories that answer two questions: “Why is it hard to apply DevOps principles and practices to databases, and how can we get better at it?”
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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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The Right Amount of Trust for AI
Chris Butler discusses the building blocks of AI from a product/design perspective, what trust is, how trust is gained and lost, and techniques one can use to build trusted AI products.
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Machine Learning Interpretability in the GDPR Era
Gregory Antell explores the definition of interpretability in ML, the trade-offs with complexity and performance, and surveys the major methods used to interpret and explain ML models in the GDPR era
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