Google Cloud Certified Professional Cloud Architect - Agilitics

Google Cloud Certified
Professional Cloud Architect

This course covers both how to use Google Cloud tools and how to maximise cloud computing efficiency in just four days. Oequips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and the principles of Google Site Reliability Engineering (SRE). It is a continuation of the Architecting with Google Cloud Platform: Infrastructure course and assumes hands-on experience with the technologies covered in that course. Through a combination of presentations, demos, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.

Duration: 3 days
Time: 9am to 5pm

What Will Be Taught For This Google Cloud Course?

• Configure VPC networks and virtual machines

• Administer Identity and Access Management for resources

• Implement data storage services in Google Cloud

• Manage and examine billing of Google Cloud resources

• Monitor resources using Google Cloud services

• Connect your infrastructure to Google Cloud

• Configure load balancers and autoscaling for VM instances

• Automate the deployment of Google Cloud infrastructure services

• Leverage managed services in Google Cloud


Learning Objectives

This course teaches participants the following skills:

Design for high availability, scalability, and maintainability.
Assess tradeoffs and make sound choices among Google Cloud Platform products.
Integrate on-premises and cloud resources.
Identify ways to optimize resources and minimize cost.
Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis.
Implement policies that minimize security risks, such as auditing, separation of duties and least privilege.
Implement technologies and processes that assure business continuity in the event of a disaster.

Module 1: Defining the Service

Design in this class.
State and solution.
Gathering requirements, SLOs, SLAs, and SLIs (key performance indicators).

Module 2: Business-logic layer design

Microservices architecture.
GCP 12-factor support.
Mapping compute needs to Google Cloud Platform processing services.
Compute system provisioning.

Module 3: Data layer design

Classifying and characterizing data.
Data ingest and data migration.
Identification of storage needs and mapping to Google Cloud Platform storage systems.

Module 4: Network layer design

Network edge configuration.
Network configuration for data transfer within the service, including load balancing and network location.
Network integration with other environments, including on premises and multi-cloud.

Module 5: Design for resiliency, scalability, and disaster recovery

Failure due to loss of resources.
Failure due to overload.
Strategies for coping with failure.
Business continuity and disaster recovery, including restore strategy and data lifecycle management.
Scalable and resilient design.

Module 6: Design for security

Google Cloud Platform security.
Network access control and firewalls.
Protections against denial of service.
Resource sharing and isolation.
Data encryption and key management.
Identity access and auditing.

Module 7: Capacity planning and cost optimization

Capacity planning.

Module 8: Deployment, monitoring and alerting, and incident response

Monitoring and alerting.
Incident response.

Audience Prerequisites

This course is intended for the following participants:
• Cloud Solutions Architects, DevOps Engineers
• Individuals using Google Cloud to create new solutions or to integrate existing systems,application environments, and infrastructure,with a focus on Compute Engine

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

• Have basic proficiency with command-line tools and Linux operating system environments
• Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

• Have completed Google Cloud Certified Professional Cloud Developer

Training was fantatstic
Our team Big data Agilitics Singapore
Kata San
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