2 day course

Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Certificate of Attendance

As a Google Cloud Partner, we’ll share our experience on design patterns and the principles of Google Site Reliability Engineering (SRE).

Through a combination of presentations, demos, and hands-on labs, you’ll learn 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.

Please note that this advanced course is intended for those who have already completed the Architecting with Google Compute Engine or the Architecting with Google Kubernetes Engine course, and assumes you have gained hands-on experience with the technologies covered in those sessions.

Our Architecting with Google Cloud: Design & Process course is delivered via Virtual Classroom. We also offer it as a private training session that can be delivered virtually or at a location of your choice in the UK.

Course overview

Who should attend:

This course is ideal for Cloud solutions architects, site reliability engineers, systems operations professionals, DevOps engineers and IT managers. You’ll also benefit from taking it if you use Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure.

What you'll learn:

By the end of this course, you will be able to:

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 Google Cloud Storage services based on application requirements
Architect cloud and hybrid networks
Implement reliable, scalable and 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

Prerequisites

To get the most out of this course you should have completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses. You’ll also need to have basic proficiency with command-line tools, and it’s recommended you have Systems Operations experience – including deploying and managing applications, either on-premises or in a public cloud environment.

Course agenda

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 & 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

Automate service deployment using CI / CD pipelines
Leverage Cloud Source Repositories for source and version control
Automate builds with Cloud Build and build triggers
Manage container images with Google Container Registry

Module 4: Choosing Storage Solutions

Identify the use cases for: Spanner, Cloud SQL, Firestore and Memorystore

Module 5: Google Cloud & 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 centres 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

Design 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
Simplify cloud governance using organisational policies and folders
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 & Monitoring

Manage new service versions using rolling updates, blue / green deployments, and canary releases
Forecast, monitor, and optimise service costs using the Google Cloud pricing calculator and billing reports and by analysing billing data
Observe whether 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