This part tends toward communicating the need to monitor performance for the reliability of the products. It also defines service-level indicators (SLIs), service level objectives (SLOs), service level agreements (SLA), plus purposes of integrated monitoring, logging, alerting, and debugging. Learning Objectives: Describe SLIs, SLOs, and SLAs. Explain the importance of integrated monitoring, alerting, and debugging. … Read more
The section discusses the various methods and techniques offered by Google Cloud for carrying out development in the cloud. It includes services such as Cloud Source Repositories with Cloud Functions and Terraform, as well as deployment through infrastructure as code. Learning Objective: Describe how Cloud Source Repositories and Cloud Functions can help with application development … Read more
This part of the curriculum is focused on containers and management of them using Kubernetes and Google Kubernetes Engine. Learning Objectives: Understand the definition of a container and describe several use cases for it. Understand what Kubernetes and Google Kubernetes Engine are for and give different use cases for them. Learn the various purposes and … Read more
Kubernetes and Google Kubernetes Engine are used to manage containers in this section of the course. Learning Objectives: Explain what a container is and its applications. Describe Kubernetes and Google Kubernetes Engine and their respective use cases. Understand hybrid and multi-cloud computing with Anthos. CONTAINERS IN THE CLOUD 1. Select two reasons for using containers … Read more
The aim of this module is to understand Google’s five primary core products in Cloud Storage: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore, which were discussed in this section. The outcome of Learning: Define the Cloud Storage resource and use cases. Differentiate between storage offered by Google Clouds. STORAGE IN THE CLOUD … Read more
This part of the course is to learn how Google Compute Engine works, particularly its virtual networking. Learning Objectives: Ascertain the essence of Google Compute Engine and its possible fields of applications. Learn the fundamentals of networking in Google Cloud. QUIZ: VIRTUAL MACHINES AND NETWORKS IN THE CLOUD 1. Which term describes a secure, individual, … Read more
The fundamental advantages of Google Cloud are covered in this segment, concerning introducing Google’s core network infrastructure components, and distinguishing Infrastructure-as-a-Service (IaaS) from Platform-as-a-Service (PaaS). Learning Objectives: Understand benefits of using Google Cloud. Define components of Google’s network infrastructure: points of presence, data centers, regions, and zones. Distinguish between Infrastructure as a Service (IaaS) and … Read more
Quite profoundly mentioned in this part, the benefits attached to using Google Cloud. Components of Google’s network infrastructure make the discussion dissimilarities between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Learning Objectives: Recognize the advantages one can derive by using Google Cloud. Define components of Google’s network infrastructure: Points of Presence, data centers, regions, and zones. Distinguish … Read more