- Towards Kubeflow 1.0, Bringing a Cloud Native Platform For ML to Kubernetes - David Aronchick
▶️ 📚 - Large Scale Distributed Deep Learning with Kubernetes Operators - Yuan Tang & Yong Tang
▶️ 📚 - GPU Machine Learning From Laptop to Cloud - Mark Puddick, Pivotal
▶️ 📚 - Serverless Operations: From Dev to Production - Erwin van Eyk, Platform9
▶️ 📚 - Scaling and Securing Spark on Kubernetes at Bloomberg - Ilan Filonenko, Bloomberg
▶️ 📚 - Economics and Best Practices of Running AI/ML Workloads on Kubernetes - Maulin Patel
▶️ 📚 - Moving People and Products with Machine Learning on Kubeflow - Jeremy Lewi, Google & Willem Pienaar
▶️ 📚 - A Tale of Two Worlds: Canary-Testing for Both ML Models and Microservices - Jörg Schad
▶️ 📚 - GPU Sharing for Machine Learning Workload on Kubernetes - Henry Zhang & Yang Yu, VMware
▶️ 📚 - Production GPU Cluster with K8s for AI and DL Workloads - Madhukar Korupolu, NVIDIA
▶️ 📚 - Building Cross-Cloud ML Pipelines with Kubeflow with Spark & Tensorflow - Holden Karau
▶️ - Managing Machine Learning in Production with Kubeflow and DevOps - David Aronchick, Microsoft
▶️ 📚 - The Data Analytics Platform or How to Make Data Science in a Box Possible - Krzysztof Adamski
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- Running Apache Samza on Kubernetes - Weiqing Yang, LinkedIn Corporation
▶️ 📚 - Enabling Kubeflow with Enterprise-Grade Auth for On-Prem Deployments - Yannis Zarkadas, Arrikto & Krishna Durai, Cisco
▶️ 📚 - Introducing KFServing: Serverless Model Serving on Kubernetes - Ellis Bigelow, Google & Dan Sun, Bloomberg
▶️ 📚 - Towards Continuous Computer Vision Model Improvement with Kubeflow - Derek Hao Hu & Yanjia Li, Snap Inc.
▶️ - Measuring and Optimizing Kubeflow Clusters at Lyft - Konstantin Gizdarski, Lyft & Richard Liu, Google
▶️ 📚 - Advanced Model Inferencing Leveraging KNative, Istio and Kubeflow Serving - Animesh Singh, IBM & Clive Cox, Seldon
▶️ 📚 - Building and Managing a Centralized Kubeflow Platform at Spotify - Keshi Dai & Ryan Clough, Spotify
▶️ 📚 - Panel: Enterprise-grade, On-prem Kubeflow in the Financial Sector - Laura Schornack, JPMorgan Chase; Jeff Fogarty, US Bank; Josh Bottum, Arrikto; & Thea Lamkin, Google
▶️ 📚 - Kubeflow: Multi-Tenant, Self-Serve, Accelerated Platform for Practitioners - Kam Kasravi, Intel & Kunming Qu, Google
▶️ 📚 - Realizing End to End Reproducible Machine Learning on Kubernetes - Suneeta Mall, Nearmap
▶️ 📚 - Flyte: Cloud Native Machine Learning & Data Processing Platform - Ketan Umare & Haytham AbuelFutuh, Lyft
▶️ 📚 - Improving Performance of Deep Learning Workloads With Volcano - Ti Zhou, Baidu Inc
▶️ 📚 - Kubernetizing Big Data and ML Workloads at Uber - Mayank Bansal & Min Cai, Uber
▶️ 📚 - Networking Optimizations for Multi-Node Deep Learning on Kubernetes - Rajat Chopra, NVIDIA & Erez Cohen, Mellanox
▶️ 📚 - Building a Medical AI with Kubernetes and Kubeflow - Jeremie Vallee, Babylon Health
▶️ 📚 - GPU as a Service Over K8s: Drive Productivity and Increase Utilization - Yaron Haviv, Iguazio
▶️ 📚 - Supercharge Kubeflow Performance on GPU Clusters - Meenakshi Kaushik & Neelima Mukiri, Cisco
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- Hyperparameter Tuning Using Kubeflow - Richard Liu, Google & Johnu George, Cisco Systems
▶️ 📚 - Large Scale Distributed Deep Learning on Kubernetes Clusters - Yuan Tang, Ant Financial & Yong Tang, MobileIron
▶️ 📚 - Tune Your Microservices by Learning from Traces - Zhang Wentao & Yang Yang, IBM
▶️ 📚 - Minimizing GPU Cost for Your Deep Learning on Kubernetes - Kai Zhang & Yang Che, Alibaba
▶️ 📚 - Multi-Cloud Machine Learning Data and Workflow with Kubernetes - Lei Xue, Momenta & Fei Xue, Google
▶️ 📚 - Anomaly Detection for Cloud Native Storage - Seiya Takei, Yahoo Japan Corporation & Xing Yang, OpenSDS
▶️ 📚
- Building a Go AI with Kubernetes and TensorFlow - Andrew Jackson & Josh Hoak, Google (Beginner Skill Level) (Slides Attached)
▶️ 📚 - Building ML Products With Kubeflow - Jeremy Lewi, Google & Stephan Fabel, Canonical (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - The Path to GPU as a Service in Kubernetes - Renaud Gaubert, NVIDIA (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - Bringing Your Data Pipeline into The Machine Learning Era - Chris Gaun & Jörg Schad, Mesosphere (Intermediate Skill Level)
▶️ - Compliant Data Management and Machine Learning on Kubernetes - Daniel Whitenack, Pachyderm (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - What’s in the Box? Resource Management in Kubernetes - Louise Daly & Ivan Coughlan, Intel (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - Deploying SQL Stream Processing in Kubernetes with Ease - Andrew Stevenson & Antonios Chalkiopoulos, Landoop (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - Are You Ready to Be Edgy? — Bringing Cloud-Native Applications to the Edge of the Network - Megan O'Keefe & Steve Louie, Cisco (Advanced Skill Level) (Slides Attached)
▶️ 📚 - Conquering a Kubeflow Kubernetes Cluster with ksonnet, Ark, and Sonobuoy - Kris Nova, Heptio & David Aronchick, Google (Intermediate Skill Level)
▶️ - Serving ML Models at Scale with Seldon and Kubeflow - Clive Cox, Seldon.io (Intermediate Skill Level) (Slides Attached)
▶️ 📚 - Automating GPU Infrastructure for Kubernetes - Lucas Servén Marín, CoreOS (Intermediate Skill Level) (Slides Attached)
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- Demystifying Data-Intensive Systems On Kubernetes - Alena Hall, Microsoft
▶️ 📚 - Enterprise Machine Learning on K8s: Lessons Learned and the Road... - Timothy Chen & Tristan Zajonc
▶️ 📚 - Kafka on Kubernetes - From Evaluation to Production at Intuit - Shrinand Javadekar, Intuit
▶️ - Machine Learning as Code: and Kubernetes with Kubeflow - Jason " Jay" Smith & David Aronchick
▶️ 📚 - Machine Learning Model Serving and Pipeline Using KNative - Animesh Singh & Tommy Li, IBM
▶️ - Natural Language Code Search for GitHub Using Kubeflow - Jeremy Lewi, Google & Hamel Husain, GitHub
▶️ 📚 - Nezha: A Kubernetes Native Big Data Accelerator For Machine Learning - Huamin Chen & Yuan Zhou
▶️ 📚 - Predictive Application Scaling with Prometheus and ML - Chris Dutra, Schireson
▶️ 📚 - Real-time Vision Processing on Kubernetes: Working with Data Locality - Yisui Hu, Google
▶️ 📚 - Scaling AI Inference Workloads with GPUs and Kubernetes - Renaud Gaubert & Ryan Olson, NVIDIA
▶️ 📚 - Using Kubernetes to Offer Scalable Deep Learning on Alibaba Cloud - Kai Zhang & Yang Che, Alibaba
▶️ 📚 - Why Data Scientists Love Kubernetes - Sophie Watson & William Benton, Red Hat
▶️ 📚
- A Day in the Life of a Data Scientist. Conquer ML Lifecycle on Kubernetes - Rita Zhang & Brian Redmond, Microsoft
▶️ 📚 - Serverless Kubernetes Boosts AI Business - Jian Huang, Huawei
▶️ 📚 - A Year of Democratizing ML With Kubernetes & Kubeflow - David Aronchick & Fei Xue, Google
▶️ - “KubeGene” a Genome Sequencing Workflow Management Framework - Shenjun Tang, Huawei
▶️ 📚 - A Hybrid Container Cloud With Kubernetes and Hadoop YARN - Jian He & Bushuang Gao, Alibaba
▶️ 📚 - Benchmarking Machine Learning Workloads on Kubeflow - Xinyuan Huang, Cisco Systems, Inc. & Ce Gao, Caicloud
▶️ 📚 - Modern Data Science in a Cloud Native World - Samuel Kreter, Microsoft
▶️ 📚 - Operating Deep Learning Pipelines Anywhere Using Kubeflow - Jörg Schad & Gilbert Song, Mesosphere
▶️ 📚 - Kubeflow From the End User’s Perspective: The Good, The Bad, and The Ugly - Xin Zhang, Caicloud
▶️ - Machine Learning on Kubernetes Birds of a Feather - David Aronchick
▶️ - Discovering the Untold User Stories of Kubernetes With Applied Anthropology - Hippie Hacker & Indigo Phillips, ii.coop
▶️ 📚 - Apache Spark on Kubernetes: A Technical Deep Dive - Yinan Li, Google
▶️ 📚
- All You Need to Know to Build Your GPU Machine Learning Cloud [B] - Ye Lu, Qunar
▶️ - Building GPU-Accelerated Workflows with TensorFlow and Kubernetes [I] - Daniel Whitenack, Pachyderm
▶️ 📚 - ''Hot Dogs or Not" - At Scale with Kubernetes [I] - Vish Kannan & David Aronchick, Google
▶️ - eBay Geo-Distributed Database on Kubernetes [A] - Chengyuan Li & Xinglang Wang, eBay
▶️ - Running MySQL on Kubernetes [I] - Patrick Galbraith, Consultant
▶️ 📚 - Accelerating Humanitarian Relief with Kubernetes [I] - Erik Schlegel & Christoph Schittko, Microsoft
▶️ 📚 - Modern Big Data Pipelines over Kubernetes [I] - Eliran Bivas, Iguazio
▶️ 📚 - Kafka Operator: Managing and Operating Kafka Clusters in Kubernetes [A] - Nenad Bogojevic, Amadeus
▶️ 📚 - Distributed Database DevOps Dilemmas? Kubernetes to the Rescue - Denis Magda, GridGain
▶️ 📚 - Democratizing Machine Learning on Kubernetes [I] - Joy Qiao & Lachlan Evenson, Microsoft
▶️ 📚 - Kube-native Postgres [I] - Josh Berkus, RedHat
▶️ - Don’t Hassle Me, I’m Stateful - Jeff Bornemann & Michael Surbey, Red Hat
▶️ 📚