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Moving .NET Apps to the Cloud
The panelists discuss the benefits and challenges of moving .NET apps and the different options available, including managed Kubernetes services, serverless platforms, and HTTP-based hosting options.
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State of OpenTelemetry, Where Are We and What’s Next?
Michael Hausenblas discusses what problems OpenTelemetry solves, and overviews the ecosystem and status of various projects within OpenTelemetry.
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Scaling GraphQL Adoption at Netflix
Tejas Shikhare discusses how Netflix migrated to GraphQL and some of the problems they had to solve scaling it.
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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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Microservices to Async Processing Migration at Scale
Sharma Podila shares from their experience migrating to asynchronous processing at scale, requiring attention to managing data loss, a highly available infrastructure, and elasticity to handle bursts.
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Netflix Drive: Building a Cloud Native Filesystem for Media Assets
Tejas Chopra discusses Netflix Drive, a generic cloud drive for storing and retrieving media assets, a collection of media files and folders in Netflix.
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Create from Anywhere: the Netflix Workstations Story
Michelle Brenner discusses the studio Netflix has been building for their originals, the technology behind it and the challenges faced.
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Robust Foundation for Data Pipelines at Scale - Lessons from Netflix
Jun He and Harrington Joseph share their experiences of building and operating the orchestration platform for Netflix’s big data ecosystem.
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Unwinding a Decade of Assumptions - Architecting New Experiences
Cole Turner discusses implementing new experiences across dozens of Netflix microservices, how they navigate assumptions, from ideation to delivery, and how those assumptions impact decision-making.
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Netflix Networking: Beating the Speed of Light with Intelligent Request Routing
Sergey Fedorov discusses how to build the Internet latency map, using network protocols and edge infrastructure, and how to use a data-driven approach to evolve your client-server interactions.
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Security and the Language of Intent
Tracy Holmes and Petros Kolyvas discuss why the language of security for infrastructure is often lost in translation and how policy as code can help.
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Designing Better ML Systems: Learnings from Netflix
Savin Goyal shares lessons learned by Netflix building their ML infrastructure, and some of the tradeoffs to consider when designing or buying a machine learning system.
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