Architecting with Google Compute Engine (GCE) [GO5973]

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Startdatum en plaats

Architecting with Google Compute Engine (GCE) [GO5973]

Global Knowledge Belgium BV
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Opleiderscore: starstarstar_halfstar_borderstar_border 4,5 Global Knowledge Belgium BV heeft een gemiddelde beoordeling van 4,5 (uit 2 ervaringen)

Tip: meer info over het programma, prijs, en inschrijven? Download de brochure!

Startdata en plaatsen

computer Online: VIRTUAL TRAINING CENTER
20 mei. 2024 tot 22 mei. 2024
computer Online: VIRTUAL TRAINING CENTER
1 jul. 2024 tot 3 jul. 2024
computer Online: VIRTUAL TRAINING CENTER
23 sep. 2024 tot 25 sep. 2024
computer Online: VIRTUAL TRAINING CENTER
25 nov. 2024 tot 27 nov. 2024

Beschrijving

Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.

OVERVIEW

This three-day instructor-led Google Cloud Platform class introduces participants to the comprehensive and flexible infrastructure and platform services offered by the Google Cloud. Through a combination of presentations, demonstrations, and hands-on labs, participants explore and implement solution elements, including infrastructure components such as networks, systems, and application services.

This course also covers the deployment of practical solutions that include secure networking, customer-supplied encryption keys, security and access management, fees and billing, and resource monitoring.

OBJECTIVES

This course teaches participants the following skills:

  • The full range of Go…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Amazon Web Services (AWS), Cloud Computing, Kubernetes, Traffic management en Nginx.

Vrijwel iedere training die op een onze locaties worden getoond zijn ook te volgen vanaf huis via Virtual Classroom training. Dit kunt u bij uw inschrijving erbij vermelden dat u hiervoor kiest.

OVERVIEW

This three-day instructor-led Google Cloud Platform class introduces participants to the comprehensive and flexible infrastructure and platform services offered by the Google Cloud. Through a combination of presentations, demonstrations, and hands-on labs, participants explore and implement solution elements, including infrastructure components such as networks, systems, and application services.

This course also covers the deployment of practical solutions that include secure networking, customer-supplied encryption keys, security and access management, fees and billing, and resource monitoring.

OBJECTIVES

This course teaches participants the following skills:

  • The full range of Google Cloud technologies in their plans.
  • Methods to develop and implement solutions.
  • Distinguishing between product features and similar or related technologies.
  • Recognize a wide variety of solution domains, use cases, and applications
  • Develop essential skills for managing and administering solutions
  • Develop knowledge of solution patterns: methods, technologies, and designs used to implement security, scalability, high availability, and other desired qualities.
     

AUDIENCE

This class is intended for the following participants:

  • Cloud solution architects, DevOps engineers.
  • People who use the Google Cloud to create new solutions or to integrate existing systems, application environments and infrastructure with the
  • Google Cloud .

CONTENT

Module 1: Introduction to the Google Cloud

  • Google Cloud Platform Infrastructure (GC)
  • Use of GC
  • Lab: Console and Cloud Shell
  • Demo: Projects
  • Lab: Preview of the infrastructure

Module 2: Virtual Networks

  • Virtual Private Cloud (VPC), Projects, Networking, Subnets, IP Addresses, Routing, Firewall Rules
  • Subnets for resource management instead of physical network topology
  • Lab: Virtual networks
  • Lab: Host of the bastion

Module 3: Virtual Machines

  • Calculation engine
  • Lab: Creating virtual machines
  • Calculation options (vCPU and memory)
  • Images
  • Common actions of the calculation engine
  • Lab: Working with virtual machines
  • Essential Cloud Infrastructure: Core Services

Module 4: Cloud IAM

  • Organizations, Roles, Members, Service Accounts, Cloud IAM Best Practices
  • Lab: Cloud AMI

Module 5: Data Storage Services

  • Cloud storage
  • Lab: Cloud storage
  • SQL Cloud
  • Lab: SQL cloud
  • Cloud Key, Cloud Datastore
  • Lab: Cloud data storage
  • Bigtable Cloud

Module 6: Resource Management

  • Cloud Resource Manager, Fees, Tags, Names, Billing
  • Demo: Billing Administration
  • Lab: Examining billing data with BigQuery

Module 7: Resource Monitoring

  • Stackdriver, Monitoring
  • Lab: Resource monitoring (Stackdriver)
  • Logging, error reporting, tracking, debugging
  • Lab: Reporting and debugging bugs (Stackdriver)
  • Elastic Cloud Infrastructure: Scaling and Automation

Module 8: Interconnection networks

  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual private networks (VPNs)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS

Module 9: Load Balancing

  • Managed Instance Groups, HTTPS Load Balancing, Region and Content Based Load Balancing, SSL/TCP Proxy Load Balancing, Network Load Balancing
  • Lab: VM automation and load balancing

Module 10: Self-Scale

  • Autoscale, Policies, Configuration
  • Lab: Self-scaling

Module 11: Automating the Infrastructure with Google Cloud APIs

  • Infrastructure Automation, Images, Metadata, Scripting, Google Cloud API
  • Lab: Automating the Google Cloud API infrastructure

Module 12: Infrastructure Automation with Deployment Manager

  • Deployment Manager, Configuration, Cloud Launcher
  • Lab: Implementation manager

Module 13: Managed Services

  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab
  • Elastic Cloud Infrastructure: Containers and Services

Module 14: Application Infrastructure Services

  • Cloud Pub/Sub, API Management, Cloud Source Features, Cloud Source Repositories, Specialized APIs

Module 15: Application Development Services

  • Application Engine

Module 16: Containers

  • Containers, Engine Kubernetes, Container Registration
  • Lab: Kubernetes load balancing
  • Kubernetes engine, application or container engine in Compute Engine?

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