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Providing a Personalized Experience to Millions of Users @BBC
Manisha Lopes discusses levers available to tune a cloud application, aligning the Data Model with the usage patterns for the data, using Performance Tests to benchmark an application, and others.
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Living on the Edge: Running Code and Serving Data with Edge Services
Erica Pisani discusses what the edge is, how running code and serving data on the edge can improve the performance of services, and how to leverage these tools to maximize performance.
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Security Checks Simplified: How to Implement Best Practices with Ease
Varun Sharma, CEO of StepSecurity, talks about OpenSSF Scorecard, a tool that assesses how well a code repository follows security best practices.
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Introducing the Hendrix ML Platform: an Evolution of Spotify’s ML Infrastructure
Divita Vohra and Mike Seid discuss Spotify’s newly branded platform, and share insights gained from a five-year journey building ML infrastructure.
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ChatGPT and AI: What's Next in Large Language Model (LLM) Architectures
The panelists discuss what's next in Large Language Model (LLM) architectures used in tools like ChatGPT and how these tools will further disrupt the AI/ML space.
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Strategy & Principles to Scale and Evolve MLOps @DoorDash
Hien Luu shares their approach to MLOps, and the strategy and principles that have helped them to scale and evolve their platform to support hundreds of models and billions of predictions per day.
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Build Features Faster with WebAssembly Components
Bailey Hayes discusses what has been impossible: the ability to write an application that combines libraries written in different languages, runnable in the web, on the server, and at the edge.
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How to Build a Successful Cloud Capability on a Heavy Regulated Organization
Ana Sirvent discusses their cloud capability journey, highlighting lessons learned and best practices on culture, processes and technology.
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Demystifying Kubernetes Platforms with Backstage
Matt Clarke discusses how Spotify's deployments infrastructure team integrated Kubernetes with Backstage to streamline developer productivity and how you can do the same.
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Tales of Kafka @Cloudflare: Lessons Learnt on the Way to 1 Trillion Messages
Andrea Medda and Matt Boyle discuss Kafka on the way to one trillion messages, and the internal tools used to ease adoption as well as improve resiliency.
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Declarative Machine Learning: a Flexible, Modular and Scalable Approach for Building Production ML Models
Shreya Rajpal discusses declarative ML systems, and how they address key issues that help shorten the time taken to bring ML models to production.
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Laying the Foundations for a Kappa Architecture - the Yellow Brick Road
Sherin Thomas discusses strategies to evolve Data Infrastructure to enable Kappa architecture in an organization.
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