Course Overview

This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.

• Apply a tool set of questions, techniques and design considerations
• Define application requirements and express them objectively as KPIs, SLO’s and SLI’s
• Decompose application requirements to find the right microservice boundaries
• Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
• Choose the appropriate Google Cloud Storage services based on application requirements
• Architect cloud and hybrid networks
• Implement reliable, scalable, resilient applications balancing key performance metrics with cost
• Choose the right Google Cloud deployment services for your applications
• Secure cloud applications, data and infrastructure
• Monitor service level objectives and costs using Stackdriver tools

Audience Profile

• Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers
• Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud

Prerequisites

• Have completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience
• Have basic proficiency with command-line tools and Linux operating system environments
• Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment