Google Cloud systems would make it easy to choose the deployment option for one’s application, keeping in mind the standards one would want their applications to meet, such as performance, security, and reliability. Learning Objectives: Choose suitable Google Cloud deployment services for application needs. Set up Instance Templates and Groups to manage dynamic workload within … Read more

Depending on the key learning objectives highlighted below, the course will teach you how to design and implement a corresponding Google Cloud infrastructure solution as reliable with scalability, availability, and performance. Below are the key learning objectives that will guide you through the course: Learning Objectives: The course structure and its content. Users roles and … Read more

Learning Objectives: Learning Modules will touch all aspects of deploying Google Cloud infrastructure using Terraform’s automated processes. Understand how to navigate the Google Cloud Marketplace. Understand the managed services in Google Cloud for data processing. INFRASTRUCTURE AUTOMATION 1. What’s the benefit of writing templates for your Terraform configuration? Allows you to abstract part of your … Read more

Architecting with Google Compute Engine Course Series This course series is designed for cloud solution architects, DevOps engineers, and anyone interested in using Google Cloud to create new solutions or integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine. Learning Objectives: Navigate the course competently Learn course downloads Recognize and understand … Read more

Automating Deployment Services for Google Cloud Infrastructure Learn Objectives: Understand the cloud resource manager hierarchy within Google Cloud in a detailed way. Understand how quotas protect Google Cloud customers. Use labels more effectively in organizing resources. Understand the behavior of budget alerts in Google Cloud. Using BigQuery as an Analytical Tool to Analyze Billing Data. … Read more

This is an introduction to the Architecting with Google Compute Engine course series, which caters to the needs of cloud solution architects, DevOps engineers, and end-users who want to use Google Cloud to architect new solutions or integrate their existing systems, application environments, and infrastructure, particularly around Compute Engine. Learning Objectives: Learn how to navigate … Read more

Python On-Demand Training Programs Learning Objectives: Have information on the available CPU and memory options for virtual machines. Learn about various disk types for virtual machines. Understand pricing models and discounts available for VMs. Use Compute Engine for provision and configuring virtual machine instances. QUIZ: VIRTUAL MACHINES 1. Which statement is true of Virtual Machine … Read more

LEARNING INTERVENING GOOGLE CLOUD- VIRTUAL NETWORKS Learning Objectives: Enumerating how it becomes possible to interact with Google Cloud. Use the Google Cloud Console and Cloud Shell. Create Cloud Storage buckets. Deploy solutions through Google Cloud Marketplace. INTERACTING WITH GOOGLE CLOUD 1. Which of the following does not allow you to interact with Google Cloud? Google … Read more

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