Introduction to Google Cloud

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When it comes to building your organization’s app in the cloud you have many options. In this video Priyanka gives the complete overview of various Google Cloud services by designing a sample application. This is ideal for those who are new to Google Cloud and those who want to understand where a particular Google Cloud service fits into a sample application architecture. We cover a wide range of topics including compute, storage, AI/ML, data analytics, devOps, security, monitoring, and more! Watch to learn about the imaginary app foo.com and how you too could leverage Google Cloud services to start your next cloud project.

Chapters:
0:00 – Intro
0:55 – How does an sample application work on the internet
9:18 – How to deploy the same application on Google Cloud
9:27 – Virtual Private Cloud
9:50 – Compute options – Cloud Run, GKE, Compute Engine, App Engine
11:11 – Cloud Load Balancing
11:44 – Cloud CDN
12:10 – Cloud Storage
12:26 – Cloud DNS
12:56 – Cloud Functions
13:18 – Cloud SQL, Cloud Spanner, Memorystore, Firestore, Cloud Bigtable
15:37 – Data Analytics with Cloud Pub/Sub, Cloud Storage, BigQuery, Dataflow, Dataproc, Looker and more!
17:00 – ML/AI with Vertex AI
18:14 – Google Cloud Operations Suite – Monitoring and Logging
18:44 – Security – Cloud IAM, Key Management System, Cloud DLP, Cloud Armor and more.
20:50 – DevOps – Cloud Build, Cloud Code, Cloud Deploy, Binay Authorization, Artifact Registry and more!
21:33 – Summary

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product: Cloud – General; fullname: Priyanka Vergadia;

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