GCP DevOps: CloudOps with Google Cloud Platform
Google Cloud
| Intermediate
- 18 videos | 1h 51m 22s
- Includes Assessment
- Earns a Badge
In this 18-video course, learners explore features of Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), best practices for operating containers, and how to build cloud-native applications with CloudOps methodology. First, compare Google Cloud Source Repository with GitHub, and see how automated deployment capabilities of Google Cloud Deployment Manager compare with Terraform. Then delve into GCP's machine learning (ML), artificial intelligence, and analytical capabilities and essential design patterns for connecting GCP with other cloud platforms. Discover how to create and configure GKE clusters; deploy applications across multiple Kubernetes clusters; create repositories and manage code with Google Cloud Source Repository; and deploy applications from Cloud Source Repository to App Engine. Next, learn how to automate the configuration of GCP resources and application deployment with Google Cloud Deployment Manager, create virtual machine (VM) instances on GCP; build applications with Terraform; and configure AutoML and BigQuery to manage large volumes of data and build ML models. Finally, learners discover how to set up fully-managed real-time messaging environments, and transfer data between GCP and other Cloud Service providers.
WHAT YOU WILL LEARN
-
Discover the key concepts covered in this course
Recognize google cloud platform features and why google cloud platform is a secondary cloud provider
Describe the key features of google kubernetes engine and how it can be used to set up cloudops to manage operations that scale and manage workload
List best practices for operating containers inspired by the twelve-factor app methodology and recognize how to build cloud-native applications using the cloudops methodology
Create and configure google kubernetes engine clusters in default vpc and enable alias ip addresses
Deploy applications across multiple kubernetes clusters using an istio multi-cluster service mesh
Describe the features of google cloud source repository and compare its capabilities with github
Create repositories using the cloud source repository and manage code using the checkin/checkout and merge strategies
Deploy applications from the cloud source repository to app engine -
Compare the automated deployment capabilities of google cloud deployment manager and hashicorp terraform
Use the google cloud deployment manager to automate the configuration of google cloud platform resources to deploy applications on targeted environments
Use terraform to create virtual machine instances on the google cloud platform and build applications on the instances
Recognize the machine learning, artificial intelligence, and analytical capabilities of google cloud platform, with focus on the toolsets that enable edge feature implementations like artificial intelligence, iot, and business intelligence
Configure automl and bigquery to manage large scale of data and provide high quality machine learning models following the cloudops paradigm
Configure cloud pub/sub to set up fully-managed real-time messaging environments to send and receive messages between independent applications
Recognize the concept of multi-cloud design along with the essential design patterns for connecting google cloud platform with other cloud platforms
Establish connectivity and transfer data between google cloud platform and other cloud service providers using external ip addresses
Summarize the key concepts covered in this course
IN THIS COURSE
-
1m 38s
-
4m 53sUpon completion of this video, you will be able to recognize Google Cloud Platform features and why Google Cloud Platform is a good choice for a secondary cloud provider. FREE ACCESS
-
3. Features of GKE for Operations5m 59sUpon completion of this video, you will be able to describe the key features of Google Kubernetes Engine and how it can be used to set up CloudOps to manage operations that scale and manage workloads. FREE ACCESS
-
4. Cloud Native with CloudOps8m 50sAfter completing this video, you will be able to list best practices for operating containers inspired by the Twelve-Factor App methodology and recognize how to build cloud-native applications using the CloudOps methodology. FREE ACCESS
-
5. Creating and Configuring GKE5m 42sIn this video, you will create and configure Google Kubernetes Engine clusters in the default VPC and enable alias IP addresses. FREE ACCESS
-
6. Deploying Apps across Multiple GKE Clusters8m 20sFind out how to deploy applications across multiple Kubernetes clusters using an Istio multi-cluster service mesh. FREE ACCESS
-
7. Google Cloud Source Repository5m 36sUpon completion of this video, you will be able to describe the features of Google Cloud Source Repository and compare its capabilities to GitHub. FREE ACCESS
-
8. Creating the Repository and Managing Code8m 14sLearn how to create repositories using the Cloud Source Repository and manage code using checkin/checkout and merge strategies. FREE ACCESS
-
9. Deploying Apps from Cloud Source Repository4m 19sFind out how to deploy applications from the Cloud Source Repository to App Engine. FREE ACCESS
-
10. Cloud Deployment Manager vs. Terraform6m 34sIn this video, you will learn how to compare the automated deployment capabilities of Google Cloud Deployment Manager and Hashicorp Terraform. FREE ACCESS
-
11. Using Deployment Manager for Automation5m 14sIn this video, learn how to use the Google Cloud Deployment Manager to automate the configuration of Google Cloud Platform resources to deploy applications on targeted environments. FREE ACCESS
-
12. Using Terraform for Automation8m 41sLearn how to use Terraform to create virtual machine instances on the Google Cloud Platform, and build applications on the instances. FREE ACCESS
-
13. ML and AI with Google Cloud Platform6m 43sAfter completing this video, you will be able to recognize the machine learning, artificial intelligence, and analytical capabilities of Google Cloud Platform, with focus on the toolsets that enable edge feature implementations like artificial intelligence, IoT, and business intelligence. FREE ACCESS
-
14. Using AutoML and BigQuery for ML Ops6m 51sDuring this video, you will learn how to configure AutoML and BigQuery to manage large scale data and provide high quality machine learning models following the CloudOps paradigm. FREE ACCESS
-
15. Messaging in GCP5m 31sLearn how to configure Cloud Pub/Sub to set up fully-managed real-time messaging environments so that you can send and receive messages between independent applications. FREE ACCESS
-
16. Multi-Cloud Design Pattern Powered by GCP5m 13sAfter completing this video, you will be able to recognize the concept of multi-cloud design along with the essential design patterns for connecting Google Cloud Platform with other cloud platforms. FREE ACCESS
-
17. Transferring Data from GCP to Other Cloud Providers11m 23sIn this video, you will establish connectivity and transfer data between Google Cloud Platform and other cloud service providers using external IP addresses. FREE ACCESS
-
18. Course Summary1m 41s031e6eca-bc00-4ae3-aac3-31a01fd32742 FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
