InfoQ Homepage QCon Plus November 2021 Content on InfoQ
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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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Lessons Learned from Remote-First SRE
James McNeil discusses how they have made remote working sustainable at Netlify, practices which can improve hybrid and in-person incident management.
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The Unreasonable Effectiveness of Zero Shot Learning
Roland Meertens shows how one can get started deploying models without requiring any data, discussing foundational models, and examples of them, such as GPT-3 and OpenAI CLIP.