Architecting with Google Cloud Platform: Design and Process

Langue : UKRéférence : AGCP-DPDurée : 2 jours
Formation à distance ou en vos locaux.Prix : 1 395.00 € (Euro)
Nos Dates :

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Objectifs :

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 disaste

Contenu :

COURSE OVERVIEW:

This​ ​two-day​ ​instructor-led​ ​training class​ ​equips​ ​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.

COURSE CONTENT:

Module 1: Defining the Service
- Design​ ​in​ ​this​ ​class
- State​ ​and​ ​solution
- Measurement
- 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: Presentation 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​ ​premise 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
- Pricing

Module 8: Deployment, Monitoring and Alerting, and Incident Response
- Deployment
- Monitoring and alerting
- Incident response

Pré-requis :

WHO SHOULD ATTEND:

This class is intended for the following participants:
- 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

PREREQUISITES:

To get the most out of this course, participants should have:
- Completed Architecting with GO-AGCPI or have equivalent experience
- Basic proficiency with command-line tools and Linux operating system environments
- Systems​ ​Operations​ ​experience​ ​including​ ​deploying​ ​and​ ​managing​ ​applications,​ ​either​ ​on-premises​ ​or​ ​in​ ​a​ ​public​ ​cloud environment

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