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- 1. We’ll be starting the session shortly!
- 2. Session Agenda 1 Interacting with Discord 2 Introduction To Cloud 3 Base Concepts 4 Next week installations 5 Surprise Q&A 6
- 3. Meet La Vault !
- 4. Discord
- 5. Growing adoption of cloud computing is driving demand for cloud talent… Cloud Computing in Higher Education ...and cloud technology requires teaching and learning new skills. We’re here to help you get started.
- 6. Track 1: Cloud Engineering Explore and deploy solution elements, including infrastructure components such as networks, systems, and applications services. 1. Getting Started: Create and Manage Cloud Resources 2. Perform foundational infrastructure tasks in Google Cloud 3. Setup and Configure a Cloud Environment in Google Cloud 4. Deploy and Manage Cloud Environments with Google Cloud 5. Build and Secure Networks in Google Cloud 6. Deploy to Kubernetes in Google Cloud
- 7. Track 2: Data Science & Machine Learning Learn & demonstrate proficiency in key data & ML topics to prepare for roles in data, marketing & business. 1. Getting Started: Create and Manage Cloud Resources 2. Perform Foundational Data, ML, and AI Tasks in Google Cloud 3. Insights from Data with BigQuery 4. Engineer Data in Google Cloud 5. Integrate with Machine Learning APIs 6. Explore Machine Learning Models with Explainable AI
- 8. So, What’s the Cloud Anyway? Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 9. On-demand self-service No human intervention needed to get resources Broad network access Access from anywhere Resource pooling Provider shares resources to consumers Rapid elasticity Get more resources quickly as needed Measured service Pay only for what you consume Cloud computing has five fundamental characteristics Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 10. Every company is a data company Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 11. Have you been in this situation ?
- 12. A virtual machine is the virtualization/emulation of a computer system. It is that simple What are virtual machine ? Virtual machine
- 13. Kubernetes
- 14. Load Balancer Load balancing is defined as the methodical and efficient distribution of network or application traffic across multiple servers in a server farm.
- 15. Start with a Solid Platform Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 16. Google Cloud Console Web user interface >_ Cloud SDK and Cloud Shell Command-line interface Cloud Console mobile app For iOS and Android REST-based API For custom applications There are four ways to interact with Google Cloud Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 17. The Cloud Console provides a web-based GUI for you to manage Google Cloud projects and resources ● Centralized console for all project data. ● Execute common tasks using simple mouse clicks. ● Manage and create projects. ● Access developer tools: ○ Cloud Source Repositories ○ Cloud SDK ○ Cloud Shell ● Access to product APIs. Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 18. Project ID Project name Project number Globally unique Need not be unique Globally unique Assigned by Google Cloud but mutable during creation Chosen by you Assigned by Google Cloud Immutable after creation Mutable Immutable Projects have three identifying attributes Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 19. ● Browser-based CLI access to resources ● No need to install the Cloud SDK or other tools locally ● Runs on an ephemeral Compute Engine VM at no cost to you ● 5 GB of persistent disk storage ● Web preview functionality and built-in authorization for project/resource access Cloud Shell console.cloud.google.com Cloud SDK Cloud Console Cloud Shell is an alternative to the Cloud SDK Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 20. Starting Cloud Shell Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 21. The Cloud Console and Cloud Shell Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 22. The Cloud Shell code editor is a tool for editing files inside your Cloud Shell environment Copyright Google LLC. For educational purposes in accordance with the terms of use set forth on the program Website.
- 23. If not in primary , check spam , social , promotions. How to Get credits ?
- 24. Open the link in incognito mode
- 25. Enter code here
- 26. Sign In with the account you provided in the form, then start the lab
- 27. Read the page and follow the instructions and complete the lab
- 28. ● Check spam , promotions, social for email. ● Reload the page if credits not transferred. ● Sign out and do the process again if credits not transferred. ● If after completing the lab , monthly pass not showing then wait for 20- 30 minutes, it takes time. ● If the console crashes during the lab don’t end lab, logout and login again. TROUBLESHOOT
- 29. Docker Docker is essentially a toolkit that enables developers to build, deploy, run, update, and stop containers using simple commands and work- saving automation through a single API
- 32. THANK YOU 😎
Notas del editor
- Cloud technology is now mainstream, with enterprise spending on cloud-based offerings growing faster than spending on traditional IT offerings. This recent increase in cloud adoption has resulted in a corresponding increase in the need for workers skilled in cloud technologies. Nearly 80% of worldwide IT departments report a skills gap in cloud-ready talent and another 50% report that they are struggling to hire skilled professionals. University students today are primed to fill this skill gap and we’re here to help you prepare them.
- First track that we have in the program is the “Cloud Engineering” track. By completing the quests under the Cloud Engineering track, you will learn to explore and deploy solution elements, including infrastructure components such as networks, systems, and applications services. We have a total of 6 quests under this track that will be covered through training sessions starting next week. Let’s take a look at the second track!
- For Track 2, we have the “Data Science & Machine Learning” track. By completing the quests in this track, you will learn and demonstrate proficiency in key topics related to big data and machine learning to prepare for roles such as data analyst, marketing analyst, business intelligence professional, and data engineer. This track also consists of 6 quests. I am sure you are curious to know about the campaign timelines and training schedules. You hear more about it in the slides ahead.
- Welcome to So, What’s the Cloud Anyway?, I’m ________________.
- Cloud computing has five fundamental characteristics: First, computing resources are on-demand and self-service. Cloud-computing customers use an automated interface and get the processing power, storage, and network they need, without the typical complex configurations required when building physical servers. Second, resources are accessible over a network from any location. Providers allocate resources to consumers from a large pool, allowing them to benefit from economies of scale. The resources exist in multiple locations all over the world, you just have to decide the available geographic location you wish to utilize. Resources are elastic. If you need more resources you can get them rapidly. And when you need less, you can scale back. Finally, you pay only for what you use or reserve, as you go. If you stop using resources, you simply stop paying.
- Google believes that, in the future, every company—regardless of size or industry—will differentiate itself from its competitors through technology. Largely, that technology will be in the form of software. Great software is centered on data. Therefore, every company is, or will become, a data company. Google Cloud provides a wide variety of services for managing and getting value from data at scale.
- Hi, I’m ______. Welcome to the module Start with a Solid Platform.
- There are four ways you can interact with Google Cloud, and we’ll talk about each in turn: the Cloud Console, the Cloud SDK and Cloud Shell, APIs, and the Cloud Console mobile app.
- The Cloud Console serves as a centralized console for all of your project data, and lets you execute common tasks using simple mouse clicks with no need to remember commands or avoid typos. When you use the Cloud Console, the resources that you create are done so in the context of a specific project. You can create multiple projects, so you can use projects to separate your work in whatever way makes sense for you. For example, you might start a new project if you want to make sure only certain team members can access the resources in that project, while all team members can continue to access resources in another project. The Cloud Console is also great for developers. Cloud Source Repositories provides Git version control to support collaborative development of any application or service. The Cloud SDK is a set of command-line tools for Google Cloud. You can run these tools interactively or in your automated scripts. Cloud Shell also provides you with command-line access to your cloud resources directly from your browser, but without having to install the Cloud SDK or other tools on your system. The utilities you need are always available, up to date and fully authenticated when you need them. The Cloud SDK and Cloud Shell will be discussed in more detail later in this module. The Cloud SDK includes client libraries that enable you to easily create and manage resources. Google Cloud client libraries expose APIs for two main purposes. App APIs provide access to services and admin APIs offer functionality for resource management.
- Each Google Cloud project has a name and project ID that you assign. The project ID is a permanent, unchangeable identifier, and it has to be unique across Google Cloud. While a Project ID will be generated automatically, you can edit it. However, this must be done while creating the new project though as it cannot be modified afterwards. In general, project IDs are made to be human-readable strings, and you’ll use them frequently to refer to projects. On the other hand, project names are for your convenience, and you can change them. Note though that you can’t reuse the project name of a deleted project. Google Cloud also assigns each of your projects a unique project number, and you’ll see it displayed to you in various contexts, but using it is mostly outside the scope of this course. As you work with Google Cloud, you'll use these identifiers in certain command lines and API calls.
- Using Cloud Shell, you can manage your projects and resources easily without having to install the Cloud SDK or other tools locally. The Cloud SDK command-line tools and other utilities are always available, up to date, and fully authenticated. Your Cloud Shell virtual machine is ephemeral, which means that it will be stopped whenever you stop using it interactively, and it’ll be restarted when you re-enter Cloud Shell. You get five gigabytes of persistent disk storage that is reattached for you every time a new Cloud Shell session is started. Cloud Shell provides web preview functionality and built-in authorization for access to Cloud Console projects and resources.
- To start Cloud Shell, click on the Activate Cloud Shell icon in the upper right side of the screen.
- The Cloud Shell terminal will appear on the lower portion of the window. Options, including launching the Cloud Shell code editor and opening Cloud Shell in a new page, can be performed using the tool bar on the upper right corner of Cloud Shell.
- The Cloud Shell code editor is a tool for editing files inside your Cloud Shell environment in real time within the web browser. This tool is extremely convenient when working with code-first applications or container-based workloads, because you can edit files easily without the need to download and upload changes. You can also use text editors from the Cloud Shell command prompt.