Architecting with Google Cloud Platform: Design and Process

Name: Architecting with Google Cloud Platform: Design and Process
Start: 2022-02-21 00:00:00
Location: Virtual Classroom

Learn how to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns on this two-day course.

2 day course

Supporting material

Google Cloud Partner of the Year

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

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

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

Jellyfish has recently been named a Google Cloud Specialisation Partner of the Year. This title recognises our commitment to provide world-leading Cloud-based Training solutions that help our clients succeed. All of our trainers are experienced practitioners, so you can learn with total confidence.

This advanced course is a continuation of the Architecting with Google Cloud Platform: Infrastructure course and assumes you have gained the hands-on experience with the technologies covered in that course.

Through a combination of presentations, demos, and hands-on labs, you will 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.

This Architecting with Google Cloud Platform: Design and Process course is part of the Professional Cloud Architect track and is offered as a private training session. It will be run over two consecutive days and can be delivered at our own training facilities in San Francisco or Baltimore, any location of your choice or via Virtual Classroom.

Course overview

Who should attend:

Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers.

Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

Walk away with the ability to:

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

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 will need to have basic proficiency with command-line tools. It is also 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
Write qualitative requirements with user stories
Write quantitative requirements using key performance indicators (KPIs)
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
Architect stateful and stateless services to optimise scalability and reliability
Implement services using 12-factor best practices
Build loosely coupled services by implementing a well-designed REST architecture
Design consistent, standard RESTful service APIs

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
Create infrastructure with code using Deployment Manager and Terraform

Module 4: Choosing Storage Solutions

Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost
Store binary data with Cloud Storage
Store relational data using Cloud SQL and Spanner
Store NoSQL data using Firestore and Cloud Bigtable
Cache data for fast access using Memorystore
Build a data warehouse using BigQuery

Module 5: Google Cloud and Hybrid Network Architecture

Design VPC networks to optimise for cost, security, and performance
Configure global and regional load balancers to provide access to services
Leverage Cloud CDN to provide lower latency and decrease network egress
Evaluate network architecture using the Cloud Network Intelligence Center
Create 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)
Create serverless applications using Cloud Functions

Module 7: Designing Reliable Systems

Design services to meet requirements for availability, durability, and scalability
Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures
Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns
Design resilient data storage with lazy deletion
Analyse disaster scenarios and plan for disaster recovery using cost/risk analysis

Module 8: Security

Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits
Leverage Cloud Security Command Center to help identify vulnerabilities
Simplify cloud governance using organisational policies and folders
Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
Manage the access and authorisation of resources by machines and processes using service accounts
Secure networks with private IPs, firewalls, and Private Google Access

Module 9: Maintenance and Monitoring

Manage new service versions using rolling updates, blue/green deployments, and canary releases
Forecast, monitor, and optimise service cost 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 and processes using service accounts

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