InfoQ Homepage Performance Content on InfoQ
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Thinking Ethically at Scale
Yanqing Cheng discusses ethical decision-making with a focus on how intuitions don’t scale, emotion and instincts lead us to do the wrong thing, and how to do things right.
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Deep Learning for Application Performance Optimization
Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.
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Chaos Engineering: Building Immunity in Production Systems
Nikhil Barthwal discusses Chaos Engineering, its purpose, how to go about it, metrics to collect, the purpose of monitoring and logging, etc.
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Large Scale Architectures Panel
Karen Casella explores architectural issues with a panel of experts from some of the world's largest architectures.
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Closer to the Wire: Real-Time News Alerting @Bloomberg
Katerina Domenikou talks about how her team built the Bloomberg real-time alerting platform using open source search technology, and explores the challenges that arise at that scale.
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Scaling Push Messaging for Millions of Devices @Netflix
Susheel Aroskar talks about Zuul Push - a massively scalable push notification service that handles millions of "always-on" persistent connections from all Netflix apps.
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Canopy: Scalable Distributed Tracing & Analysis @ Facebook
Haozhe Gao and Joe O’Neill present Canopy, Facebook’s performance and efficiency tracing infrastructure. They talk about the lessons learned and present case studies of its use.
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Forced Evolution: Shopify's Journey to Kubernetes
Niko Kurtti talks about the challenges Shopify saw in moving from a traditional host-based infrastructure to a cloud native one, moving not only their core app to Kubernetes but also other apps.
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Serving Millions of Customers Serverless at CapitalOne
Srini Uppalapati, Kiran Satelli talk about how CapitalOne migrated customer accounts and transactions to a completely serverless architecture, and built a resilient Transactions and Accounts platform.
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Unbreakable: Learning to Bend But Not Break at Netflix
Haley Tucker shares examples of chaos experiments which identified problems and built confidence in Netflix’s resilience mechanisms, with challenges, lessons, and benefits scaling chaos engineering.
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Observability to Better Serverless Apps
Erica Windisch dives into how serverless development with observability tooling can help bridge the gap between operations and business intelligence to learn better and iterate faster.
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Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
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