2024-08-03, 14:50–15:20 (Asia/Taipei), TR313
公有雲、私有雲、混合雲……對於初學雲端技術的新手來說，可能常搞不清楚這些名詞。本議程將帶領大家一同看看這些跟雲端相關的名詞，他們究竟代表什麼意思？我們同時也會簡要討論幾個常在雲端環境使用的開源技術——Docker以及Kubernetes。期待此議程能作為新手學習雲端技術的敲門磚。
Newcomers often need clarification while learning Cloud technologies. One category that often needs clarification about terms is Public Cloud, Private Cloud, and Hybrid Cloud. We will discuss those terms with newcomers from a meta point of view, guiding them to understand how the cloud world works and how to choose the cloud technologies that fit most properly.
Besides, we will also glance at container - a technology that often comes with the cloud to enhance efficiency and consistency during development and deployment. This includes various open-source technologies such as Docker and Kubernetes.
By participating in this session, attendees will briefly view their first Cloud journey, understand interaction within those technologies, and clarify their misconceptions.
Structure of this session:
1. Introduction: Public Cloud, Private Cloud and Hybrid Cloud.
1.1. Overview: Basic concept of Cloud.
1.2. Brief intro with examples:
1.2.1. Public Cloud: Google Cloud, AWS, Azure
1.2.2. Private Cloud: NAS, IBM Z
1.2.3. Hybrid Cloud: Integration of Public and Private Cloud.
2. Common practice using Cloud: Container
2.1. A context-based introduction: Container mitigates gaps between development and deployment.
2.1.1. Infrastructure settings on the first day
2.1.2. Deploy at a large scale
2.1.3. When your service grows: microservice deployment
2.2. Common practice: Container
2.2.1. Docker
2.2.2. Kubernetes
3. Conclusion: Terms you must know when dealing with Cloud
我是第一次投稿COSCUP，願意收到修改建議。
James Kuo-Ping Lo is a senior National Taiwan Normal University student studying Computer Science and Learning Sciences. He actively engages in developer and open-source communities in Taiwan, such as Google Developer Student Clubs and SITCON (Students' Information Technology Conference). He has delivered several talks at conferences such as COSCUP. He also interned at Google's Data Center in Taiwan.