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Architecting with Google Cloud: Design and Process

  • Length 2 days
  • Price $1900 inc GST
  • Version 2.0
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.

On successful completion of this course, DDLS will issue you a digital badge that you can share on your social media channels and use as part of your wider applicable certification and training transcript.

Aligns to certification

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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

  • 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


Google Cloud at DDLS

DDLS 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, DDLS can support you through training wherever you are in your Cloud adoption journey.


Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

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


Course subjects

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

  • Recognize appropriate microservice boundaries

  • Architect stateful and stateless services to optimize 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 optimize 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

  • Connect networks using peering and VPNs

  • 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

  • Analyze 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 organizational policies and folders

  • Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform

  • Manage the access and authorization of resources by machines and processes using service accounts

  • Secure networks with private IPs, firewalls, and Private Google Access

  • Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor

Module 9: Maintenance and Monitoring

  • Manage new service versions using rolling updates, blue/green deployments, and canary releases

  • Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing 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


Prerequisites

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


Terms & Conditions

The supply of this course by DDLS 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.



Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.