- [Instructor] So now inside of the console,…we're going to go to the Container Engine…and we're going to work with container clusters…in a more sophisticated way.…Rather than just spinning up a single cluster,…we're going to use the quick start…to create what is very similar to,…or could actually be, a production application, a small one.…What this is is this is a website,…so it has a front end multi-container web-serving tier,…and it has a backend, which in this case…is a NoSQL database.…This is a Redis database that has a mastered node,…and then worker nodes.…
So what's interesting about this…is you start to understand and see through demonstration…the power of not only the clusters on GCP,…but also, and very importantly,…the cluster management service,…which is called Kubernetes.…Now as we work through this tutorial,…we're going to use the inline gcloud console…at the bottom, and we're going to work…through a lot of command line.…We'll see gcloud, and we'll also see…a new utility called Kuber Control…which is a Kubernetes control,…
Author
Released
3/20/2017- Google Cloud Platform benefits
- Compute services
- Database and storage services
- Data pipeline services
- Machine learning and visualization
- Networking and developer tools
- Implementation solutions
- Architecture options
Skill Level Intermediate
Duration
Views
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Introduction
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Welcome42s
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1. What Is the Google Cloud Platform?
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Cloud and compute services1m 32s
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Storage and data services1m 42s
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Big data services1m 40s
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Other services2m 23s
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2. Why Use the Google Cloud?
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3. Getting Started with the Google Cloud
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Set up your account2m 22s
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Navigate to the GCP console1m 14s
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Use APIs4m 57s
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About gcloud2m 58s
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Compare GCP to AWS1m 14s
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4. Using Google Compute Services
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Use GCE resources5m 15s
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Use Container Engine: GKE10m 54s
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Use Google App Engine6m 40s
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5. Using Google Database and Storage Services
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Use Google Cloud Storage4m 30s
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Use Google Cloud SQL4m 44s
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Use Google Cloud Datastore4m 48s
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Use Google BigQuery9m 37s
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Compare Bigtable to BigQuery2m 30s
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6. Using Google Data Pipeline Services
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Use Google Pub/Sub6m 32s
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Use Google Dataproc6m 28s
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Use Google Dataflow1m 48s
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Use the Google Genomics API5m 51s
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7. Using Google Machine Learning and Visualization
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Use the Cloud Vision API4m 54s
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Use the Google Cloud Datalab3m 30s
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Use Datalab examples5m 4s
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8. Using Networking and Developer Tools
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Use Stackdriver Monitoring4m 16s
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9. Implementing Solutions: Architectures and Practices
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Use reference architectures1m 21s
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Big data and data warehouse4m 36s
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Internet of Things3m 59s
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Bioinformatics3m 53s
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Explore some other resources1m 48s
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Conclusion
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Next steps33s
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Video: Use Container Engine/GKE and Kubernetes, part 1