Architecting with Google Cloud: Design and Process

Length 2 days
Price NZD 1800 exc GST

Course overview

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Why study this course

This two-day instructor-led 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.

It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course and assumes hands-on experience with the technologies covered in either of those courses.

Aligns to certification

Google Cloud Certified: Professional Cloud Architect

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What you’ll learn

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, 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
Discuss Google Cloud network architectures, including hybrid architectures
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 Cloud Monitoring

Google Cloud at Lumify Work

Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.

View all Google Cloud at Lumify Work courses

Who is the course for?

This course is intended for the following participants:

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 Google Cloud

Course subjects

Module 1: Defining the Service

Describe users in terms of roles and personas
Evaluate KPIs using SLOs and SLIs
Determine the quality of application requirements using SMART criteria

Module 2: Microservice Design and Architecture

Decompose monolithic applications into microservices
Recognise appropriate microservice boundaries
Design consistent, standard RESTful service APIs
Identify the 12-factor best practices for implementing services

Module 3: DevOps Automation

Discuss the automation of service deployment using CI/CD pipelines
Explain how to leverage Cloud Source Repositories for source and version control
Automate builds with Cloud Build and build triggers
Manage container images with Container Registry

Module 4: Choosing Storage Solutions

Identify the use cases for Spanner
Identify the use cases for Cloud SQL
Identify the use cases for Firestore
Identify the use cases for Memorystore

Module 5: Google Cloud and Hybrid Network Architecture

Discuss the design of VPC networks to optimise for cost, security, and performance
Describe how global and regional load balancers provide access to services
Connect networks using peering and VPNs
Define hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect

Module 6: Deploying Applications to Google Cloud

Choose the appropriate Google Cloud deployment service for your applications
Configure scalable, resilient infrastructure using Instance Templates and Groups
Orchestrate microservice deployments using Kubernetes and GKE
Leverage App Engine for a completely automated platform as a service (PaaS)

Module 7: Designing Reliable Systems

Discuss the design of services to meet requirements for availability, durability, and scalability
Identify the failures to be avoided to implement a fault-tolerant system

Module 8: Security

Identify the best practices for designing secure systems
Discuss the use of organisational policies and folders to simplify cloud governance
Identify Google Cloud services that can be leveraged for access management
Identify Google Cloud services that can be leveraged to mitigate DDoS attacks

Module 9: Maintenance and Monitoring

Discuss different ways to manage new service versions
Describe how to forecast, monitor, and optimise service costs
Observe if your services are meeting their SLOs using Cloud Monitoring and Dashboards
Use Uptime Checks to determine service availability
Respond to service outages using Cloud Monitoring Alerts

Prerequisites

To get the most out of this course, participants should have:

Completed Architecting with Google Compute Engine, Architecting with Google Kubernetes Engine, or have equivalent experience
Basic proficiency with command-line tools
Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.