智能工作负载 - 自动路由、K8扩展和无服务器功能.pdf

Smart Workloads: Automated Routing, Scaling of K8s and Serverless Functions Enlin Xu, Director of Advanced Engineering, Turbonomic Agenda • Who are we • Challenges to deploy and operate applications in Cloud • Smart Workloads in Edge Computing • Demo • Key Takeaways Who are we? • Founded in 2009 We’re Hiring! • Headquartered in Boston, MA, USA Join our engineering team as • 500+ employees we build for the end game. • $100m+ Revenue in 2017 Founded on the idea that software should manage IT resources, not people. Our software uses a Common Abstraction with Economic Principles to unleash automation! IDC Innovator: Multicloud Management, 2017 I want to run some code in cloud.. And? • Operational complexity • VM – Configure machines, storage, network, OS, etc. • Container – Configure application, scaling, etc. • Serverless – Memory configuration, where to run, etc. • Capacity management concerns • Cloud has infinity capacity – what about your budget? • Scalability – I want to have infinite scale!! • But only pay for what you really need Serverless looks simple enough! Or is it? Serverless Use Cases • An image upload to S3 triggers a Lambda to compute a thumbnail to post on Twitter • The same upload triggers another Lambda to analyze the image and create metadata such as place, persons, etc. • A code commit or PR merge triggers build jobs • An IoT sensor on a garbage can detects its fullness and triggers a