Course Overview
The term Cloud Native was originally used to describe the typical architectures and characteristics of cloud-based applications. With the evolution of containers, Kubernetes, Serverless and FaaS technologies, the Cloud Native Computing Foundation (CNCF) defined Cloud-Native as a basic technology that makes applications more elastic, fault-tolerant, and observable. It can also make applications easier to write and orchestrate. This technology can enable developers to make the best use of cloud resources, products and delivery capabilities.
This course is jointly developed by Alibaba Cloud and CNCF. The entire course is free of charge and requires no registration. We will provide you with:
- A comprehensive knowledge system for you to build your own cloud-native skill set
- An understanding of Cloud Native's essence and key ideas
- An online testing for each chapter to verify your learning progress
- Key best practices in Cloud Native from technical teams on the cutting edge of this technology
- New hands-on experience for CNCF is available now, check here for setup guidance.
Target Audience
Software engineers and college students majoring in computer science and software engineering
Application developers using or looking to learn more about containers and Kubernetes
Software developers and technical managers with basic server knowledge looking to explore container technologies
Technical managers and developers who want to understand the basics of Cloud Native technologies
Stage 1: Cloud Native Technology Foundation
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Course List |
Learning Benefit |
Video Course |
Self Test |
Hands-On Lab |
Course Content |
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Lecture 1: Cloud Native First Class |
Understand the concept, nature and mainstream technology of Cloud Native |
Start Learning | Course Content | ||
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Lecture 2: Basic Concepts of Containers |
Grasp the basic concepts of container, container images, and container data volume |
Start Learning | Test For Lecture 1-2 | Try Lab Now | Course Content |
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Lecture 3: Core Concepts of Kubernetes |
Understand Kubernetes architecture, Kubernetes API primitives, clustering and deployment, service, and other concepts and basic operations |
Start Learning | Try Lab Now | Course Content | |
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Lecture 4: Understand the Design Patterns of pods and containers |
Understand pod and container design patterns such as Ambassador, Adapter, and Sidecar |
Start Learning | Test For Lecture 3-4 | Try Lab Now | Course Content |
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Lecture 5: Application Orchestration and Management Core Principles |
Understand Labels, Selectors, Annotations, and Kubernetes's core - the controller pattern |
Start Learning | Try Lab Now | Course Content | |
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Lecture 6: Application Orchestration and Management Deployment |
Master the basics of deployment and understand horizontal scaling, rolling update and rollback of an application |
Start Learning | Test For Lecture 5-6 | Try Lab Now | Course Content |
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Lecture 7: Application Orchestration and Management: Job and DaemonSet |
Master the use of Job, CronJob and DaemonSet |
Start Learning | Try Lab Now | Course Content | |
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Lecture 8: Application Configuration Management |
Understand ConfigMaps, SecurityContexts, ServiceAccounts, and how to define application resource requirements as well as how to create and use Secret |
Start Learning | Test For Lecture 7-8 | Try Lab Now | Course Content |
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Lecture 9: Application Storage and Persistent Volumes Core Knowledge |
Understand the basic concepts of PersistentVolume, PersistentVolumeClaim, StorageClass, operational usage, and internal working mechanisms |
Start Learning | Try Lab Now | Course Content | |
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Lecture 10: Application Storage and Persistent Volumes Storage Snapshotting and Topology Scheduling |
Understand the basic concepts, operational usage, and internal workings of storage snapshots and topology scheduling in application storage and persistent data volumes |
Start Learning | Test For Lecture 9-10 | Try Lab Now | Course Content |
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Lecture 11: Observability: Are Your Applications Healthy? |
Understand LivenessProbes, ReadinessProbes, container log collection, application monitoring, and how to Debug in Kubernetes |
Start Learning | Try Lab Now | Course Content | |
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Lecture 12: Observability Monitoring and Logging |
Understand the selection and usage of monitoring and logging in Kubernetes |
Start Learning | Test For Lecture 11-12 | Try Lab Now | Course Content |
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Lecture 13: Kubernetes Network and Policy Control |
Understand the use of Kubernetes basic Network model, Netns, mainstream Network solutions, and Network Policy |
Start Learning | Try Lab Now | Course Content | |
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Lecture 14: Kubernetes Service |
Understand Kubernetes Services and NetworkPolicies |
Start Learning | Test For Lecture 13-14 | Try Lab Now | Course Content |
Lecturers
Li Xiang
Alibaba Cloud Senior Staff Engineer
Li Xiang is one of nine CNCF TOCs worldwide and the author of the open source etcd project. Currently, he is responsible for technical work related to basic software products within the Alibaba Cloud container platform team.
Zhang Lei
Alibaba Cloud Staff Engineer
As an official CNCF Ambassador and senior member and co-maintainer of the Kubernetes project, Zhang Lei is currently responsible for technical work related to Kubernetes within the Alibaba Cloud platform team.
Wang Xu
Ant Financial Senior Staff Engineer
Wang Xu is the founding member of the institutional committee for OpenStack Foundation's top program, Kata Containers, and has served as co-founder and CTO for Sonic Containers.
Zhang Zhen
Alibaba Cloud Staff Engineer
Zhang Zhen holds a doctorate from the Computer department of Zhejiang University, and is responsible for research and development for Alibaba's cluster management system, open source cluster data set, and is also responsible for the cloud native evolution of the cluster management system.
Chen Xianlu
Alibaba Cloud Senior Engineer
Chen Xianlu has been deeply engaged with Docker and Kubernetes for many years. He is a contributor to many Docker projects, a member of the Kubernetes Group, and the author of Do-it-Yourself Docker.
Liu Zhongwei
Alibaba Cloud Senior Engineer
Liu Zhongwei is responsible for the research and development of Alibaba Cloud container service's underlying service discovery system, cluster management system, and elastic expansion and monitoring system. He is also engaged in the design and implementation of Alibaba's container CI/CD schema.
Fu Wei
Alibaba Cloud Engineer II
Fu Wei is part of the containerd project, an open source project with a focus on container mirror technology. Fu Wei is currently engaged in research and development for Alibaba Cloud's core products.
Wang Siyu
Alibaba Cloud Senior Engineer
Wang Siyu is responsible for basic product development and construction of the Alibaba Cloud container platform's ecosystem. He is a Kubernetes community contributor and is the primary developer and maintainer of the Extension Workload for internal large-scale clusters.
Huang Ke
Alibaba Cloud Engineer II
Huang Ke is responsible for basic research and development related to Alibaba Cloud's container platform storage systems. He has participated in research, development, and implementation of application band state migration and large-scale storage compute separation at Alibaba Group.
Steve Xue
Alibaba Cloud Training Advisor
Steve Xue is a training advisor who provides online and offline training courses and delivery services to our customers globally. Steve's main areas of focus are Cloud Computing and Security.
Yan Zhang
Alibaba Cloud Solution Architect
Yan Zhang is currently in charge of the Training and Education service as well as university cooperations in EMEA region. Yan provides online and offline training focusing on Cloud Computing and Security.
Jeremy Pedersen
Alibaba Cloud Solution Engineer II
Jeremy is a passionate technologist who is excited about the opportunities created when small and medium-size businesses embrace the cloud. He has over ten years of experience in the IT sector and holds a Masters in Computer Vision.
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