Сьогодні завершив проходження курсу "Google Cloud Fundamentals: Core Infrastructure". Можливо це комусь як дитячий садочок, але треба з чогось починати.
Отримав новий бейдж : "Google Cloud Fundamentals: Core Infrastructure"
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| Jun. 2023 Google Cloud Fundamentals: Core Infrastructure |
Щоб нагадати собі що було на курсі:
Transcript
00:00
Congratulations on completing the Google Cloud Core Infrastructure course! Before you go, let’s take a few minutes to review what we’ve covered. In module 1, you were introduced to Google Cloud and cloud computing.
00:14
Specifically, you explored: The concept of managed infrastructure and managed services, through IaaS, or infrastructure as a service, and PaaS, or platform as a service. The Google Cloud network. Google Cloud’s focus on security throughout our infrastructure.
00:30
How Google publishes key elements of technology using open source licenses. And Google Cloud’s pricing structure and billing tools. In module 2, you learned about the Google Cloud Resource Hierarchy, which is made up
00:43
of four levels: resources, projects, folders, and an organization node. You also learned about: Defining policies and their downward inheritance. When to use Identity and Access Management, or IAM, And the four ways to access and interact with Google Cloud: through the Google Cloud console,
01:03
the Cloud SDK and Cloud Shell, APIs, and the Google Cloud console Mobile App. In module 3, you explored how Compute Engine works, with a focus on virtual machines and
01:14
virtual networking. You were introduced to: The VPC, or virtual private cloud. Compute Engine’s Autoscaling feature. And important Google Virtual Private Cloud compatibility features, like routing tables, firewalls, VPC peering and shared VPC, all of which result in the need for less network
01:35
management. You also explored Cloud Load Balancing, a fully distributed, software-defined, managed service for all your traffic. Finally, you compared how on-premises or other-cloud networks can be interconnected with a Google
01:49
VPC. In module 4, you explored Google Cloud's five core storage options: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore. You were also examined the four storage classes that make up Cloud Storage:
02:07
* Standard Storage, which is used for frequently accessed hot data, * Nearline Storage and Coldline Storage, which are used for less-frequently accessed cool data, * and Archive Storage. In module 5, you learned about containers, which are invisible boxes around your code
02:23
and its dependencies. You were introduced to three container-based products: Kubernetes, an open-source platform for managing containerized workloads and services. Google Kubernetes Engine (GKE), a Google-hosted managed Kubernetes service in the cloud.
02:40
And Anthos, Google’s answer to modern hybrid and multi-cloud distributed systems and services management. In module 6, the focus was on developing applications in the cloud. You explored: App Engine, a fully managed, serverless platform
02:55
for developing and hosting web applications at scale, and the two of App Engine environments: standard and flexible. Three API management tools provided by Google Cloud: Cloud Endpoints, API Gateway, and Apigee
03:07
API Management. And Cloud Run, a managed compute platform that lets you run stateless containers via web requests or Pub/Sub events. The focus for module 7 was developing and deploying in the cloud.
03:21
You learned about: Cloud Source Repositories, which are full-featured Git repositories hosted on Google Cloud. Cloud Functions, a lightweight, event-based, asynchronous compute solution to create single-purpose functions. And Terraform, which lets you use a template to write the specifications for your application
03:37
environment in the same way you’d write a configuration file. And in the final module, you focused on logging and monitoring on Google Cloud. The “Four Golden Signals” that measure a system’s performance and reliability:
03:50
latency, traffic, saturation, and errors. Service level indicators (SLIs), service level objectives (SLOs), and service level agreements (SLAs), which are all types of targets set for a system’s Four Golden Signal metrics.
04:06
And finally, Google’s integrated observability tools, which include Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace, and Cloud Profiler. We hope that this course is just the beginning of your Google Cloud journey.
04:21
For more training and hands-on practice, explore the different learning paths available at cloud.google.com/training. And if you’re interested in validating your expertise and showcasing your ability to transform businesses with Google Cloud technology, you might consider working toward a Google Cloud
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certification. You can learn more about Google Cloud’s certification offerings at cloud.google.com/certification. Thanks for completing this course. We’ll see you next time!
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