InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Languages of Cloud Native
Justin Cormack looks back at the early history, talking to Solomon Hykes about the development of Docker in Go, and looks at more recent trends in Cloud Native projects.
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Panel: the True Bottleneck in Software Engineering - Cognitive Load
The panelists discuss making decisions in software development, postulating that the core limitation is how much we can know: how much we can hold in our heads, and how quickly we can learn.
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Unblocked by Design
Todd Montgomery discusses some of the issues one can encounter when developing with and for asynchronous architectures and components.
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Panel: Kubernetes at Web Scale on the Cloud
The panelists discuss what they have learned scaling their own workload in the public cloud. Topics include capacity and workload management, security integration, and homegrown PaaS integration.
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Incidents, PRRs, and Psychological Safety
Nora Jones discusses the context around PRRs and provides takeaways on how one can improve production reliability.
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Panel: Real-World Production Readiness
The panelists discuss production readiness, the “practice” of SRE, how data comes to production readiness, and strategies for resiliency.
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Optimizing Efficiency & Capacity Management at Web Scale on the Cloud
Molly Junck shares insight on how Pinterest optimizes their use of the cloud, concurrently maintaining demands for security, availability, rate of innovation, and infrastructure efficiency.
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K8s: Rampant Pragmatism in the Cloud at Starling Bank
Jason Maude explores Starling’s technical philosophy of rampant pragmatism and how they applied it to their delivery pipeline.
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Authorization at Netflix Scale
Travis Nelson discusses Netflix’s approach to scaling and shares techniques for distributed caching and isolating failure domains.
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Talk Like a Suit: Making a Business Case for Engineering Work
David Van Couvering walks through some of the approaches and strategies used to make a business case, and walks through a few examples to help make it concrete.
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Prod Lessons - Deployment Validation and Graceful Degradation
Anika Mukherji discusses lessons learned in production at Pinterest: deployment validation framework and product-informed graceful degradation, preventing hundreds of outages.
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Solving Data Quality Issues to Diagnose Health Symptoms with AI
Lola Priego and Jose del Pozo discuss how they improved the user input accuracy, normalized lab data using a scoring algorithm, and how this work finishes with an AI to diagnose health.
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