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Serverless Platform for Large Scale Mini-Apps: From Knative to Production - Yitao Dong & Ke Wang, Ant Financial

Ke Wang and Yitao Dong from Ant Financial share the key workloads they are building with serverless and how they address pain points in production by expanding Knative. They introduce technical details of adopting Knative with secure container runtime and reinventing Knative control/data plane, which largely saves deployment and operation efforts to enable serverless in Kubernetes clusters. The discussion will also cover a quick demo to illustrate improved serverless app lifecycle management, 0-M-N-0 autoscaling performance and operation workflow.

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Spanning the Globe with Envoy at Stripe - Dylan Carney, Stripe

Dylan Carney a Software Engineer at Stripe discusses how Stripe operates compute infrastructure around the globe in order to provide low latency and high availability to its users, using Envoy to connect this infrastructure together. To ensure reliability and operability, Stripe built an Envoy control plane, along with new tooling to manage it. New XDS services provide features like ramp-up of traffic to specific compute clusters, tiered failover, and per-customer routing of API requests. Stripe also built their blue/green deployments on top of this. Finally, they made improvements to make Envoy significantly more reliable in the face of issues like packet loss and head-of-line blocking, based on traffic patterns and behavior observed in production.

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Massive Scale Anomaly Detection Framework

PayPal analyzes billions of events every day in real-time across a wide range of services, devices and locations. In a collaboration between their Platform engineering team and data science teams, they have built a generic framework for developing robust and scalable anomaly detection streaming applications, focusing on flexibility to support different types of statistical and machine learning models. Inspired by the design of scikit-learn and Spark MLlib, the data team has designed a simple pipeline-based API on top of Spark Structured Streaming, that captures common patterns of the anomaly detection domain. 

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Fannie Mae Processes over a Quarter Million Loans per Day w/ Amazon S3

Fannie Mae discusses how they completely re-architected a mission-critical application using AWS native services that process hundreds of thousands of mortgage loans every day in a highly scalable and reliable manner. The transaction-heavy workload uses over 20+ million Amazon S3 transactions a day, each within 150-millisecond response times, thus providing increased uptime and faster response. 

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Moody’s: Deploying Cloud-Native Architectures with Automation

Moody’s has chosen Terraform as their tool of choice to define and deploy their application and security infrastructure for a range of different use cases on AWS. In this session, you will learn about Moody's range of automation use cases, including: AWS infrastructure creation; deployment of a shared service environment; onboarding of new/existing lines-of-business; and Integration with threat intelligence services such as Amazon GuardDuty. 

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