Practical GCP for DevOps: Google Cloud Platform Basics
Google Cloud
| Beginner
- 18 videos | 2h 9m 26s
- Includes Assessment
- Earns a Badge
You can't build a house without tools and materials. Similarly, you can't build a DevOps infrastructure without the tools and materials needed to support developer needs. In this course, learn about the basics of the Google Cloud Platform (GCP). Explore how GCP compares to other cloud platforms and learn about different elements of the platform, such as computing, storage, and networking. Next, investigate tools and services like identity management, databases, analytics, and artificial intelligence. Finally, examine the relationships between the GCP and container technologies such as Docker, clustering container technologies such as Kubernetes, and orchestration technologies such as Jenkins. Upon completion, you'll be able to identify how elements of Google Cloud Platform (GCP) support a DevOps framework.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Recognize the basics of google cloud platform (gcp)
Differentiate gcp from aws and azure
Compare and contrast gcp and azure
Name the features and capabilities of google compute engine (gce)
Outline gcp cloud storage concepts
Identify the basics of gcp networking
Outline vpc and subnets in gcp
Outline google cloud identity and access management (iam) -
Name the databases available in gcp
List the features, advantages, and limitations of google analytics
Identify google cloud data services
Outline gcp artificial intelligence (ai) and machine learning (ml) services
Identify the basics of gcp and containers and tools to use to run and manage containerized apps
State how gcp and ansible interact
Outline the features of google kubernetes engine (gke)
Recognize the basics of continuous integration and continuous delivery (ci/cd) and how google cloud databricks and jenkins work together
Summarize the key concepts covered in this course
IN THIS COURSE
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55s
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10m 34s
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3. GCP vs. AWS and Azure8m 54s
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4. GCP vs. Azure6m 37s
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5. Google Compute Engine (GCE)12m 36s
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6. Cloud Storage in GCP7m 3s
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7. GCP Networking10m 28s
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8. GCP VPC and Subnets4m 50s
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9. Google Cloud Identity and Access Management (IAM)6m 28s
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10. Databases in GCP9m 37s
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11. Google Analytics9m 34s
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12. Google Cloud Data Services10m 31s
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13. Artificial Intelligence and Machine Learning in GCP10m 9s
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14. Containers and GCP4m 27s
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15. Ansible Integration with GCP3m 46s
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16. Google Kubernetes Engine (GKE)5m 40s
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17. CI/CD with Jenkins and Google Cloud Databricks6m 26s
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18. Course Summary49s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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