This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

This course teaches participants the following skills:
● Apply a tool set of questions, techniques, and design considerations
● Define application requirements and express them objectively as KPIs, SLOs and SLIs
● Decompose application requirements to find the right microservice boundaries
● Leverage Google Cloud developer tools to set up modern, automated deployment pipelines
● Choose the appropriate 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 Google Cloud tools

Prerequisites
● Completion of prior courses in the Architecting with Google Cloud Platform Specialization, Architecting with Google Kubernetes Engine or have equivalent experience
● Basic proficiency with command-line tools and Linux operating system environments
● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud
environment

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