For more information contact us      Phone: 03-6176066   Fax: 03-6176677   info@sela.co.il Coming courses 18/10/2021 - Morning More courses from Cloud  Developing Serverless Solutions on AWS Developing On Aws Using solr search engine on Azure Microsoft Azure Administrator Microsoft Azure Administrator Kubernetes Developing Microsoft Azure and Web Services (.NET Core) AWS Technical Essentials AWS Security Essentials Architecting with Google Cloud Platform: Design and Process Microsoft Azure and Big Data Analytics Microsoft Azure Fundamentals (1 day) Data Engineering on Google Cloud Platform Microsoft Azure Fundamentals Google Cloud Fundamentals: Core Infrastructure Elastic Search Big Data with Hadoop and Spark From Data to Insights with Google Cloud Platform Developing Microsoft Azure and Web Services Docker Workshop Architecting with Google Cloud Platform: Infrastructure Upgrade Your Skills to the Cloud Google Cloud Platform Fundamentals: Big Data & Machine Learning Azure DevOps Engineer Expert Microsoft Azure Architect Design Developing Solutions for Microsoft Azure Developing Applications with Google Cloud Platform Architecting on AWS Testing the Internet of Things (IoT) – An Exploratory Workshop Cloud Computing Designing and Implementing an Azure AI Solution Microsoft Azure Architect Technologies

CPO300 - Version: 1 Architecting with Google Cloud Platform: Infrastructure 3 days course Description This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Intended audience Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Prerequisites Completion of Google Cloud Platform Fundamentals or 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 Objectives Consider the entire range of Google Cloud Platform technologies in their plans. Learn methods to develop, implement, and deploy solutions. Distinguish between features of similar or related products and 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 that are used to implement security, scalability, high availability, and other desired qualities. Topics Module 1: Introduction to Google Cloud Platform Google Cloud Platform (GCP) Infrastructure Using GCP Lab: Console and Cloud Shell Demo: Projects Lab: Infrastructure Preview Module 2: Virtual Networks Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules Subnetworks for resource management instead of physical network topology Lab: Virtual Networking Lab: Bastion Host Module 3: Virtual Machines Compute Engine Lab: Creating Virtual Machines Compute options (vCPU and Memory) Images Common Compute Engine actions Lab: Working with Virtual Machines Module 4: Cloud IAM Organizations, Roles, Members, Service accounts, Cloud IAM best practices Lab: Cloud IAM Module 5: Data Storage Services Cloud Storage Lab: Cloud Storage Cloud SQL Lab: Cloud SQL Cloud Spanner, Cloud Datastore Lab: Cloud Datastore Cloud Bigtable Module 6: Resource Management Cloud Resource Manager, Quotas, Labels, Names, Billing Demo: Billing Administration Lab: Examining Billing Data with BigQuery Module 7: Resource Monitoring Stackdriver, Monitoring Lab: Resource Monitoring (Stackdriver) Logging, Error Reporting, Tracing, Debugging Lab: Error Reporting and Debugging (Stackdriver) Module 8: Interconnecting Networks Cloud Virtual Private Network (VPN) Lab: Virtual Private Networks (VPN) Cloud Router, Cloud Interconnect, External Peering, Cloud DNS Module 9: Load Balancing Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing Lab: VM Automation and Load Balancing Module 10: Autoscaling Autoscaling, Policies, Configuration Lab: Autoscaling Module 11: Infrastructure Automation with Google Cloud Platform APIs Infrastructure automation, Images, Metadata, Scripts, Google Cloud API Lab: Google Cloud Platform API Infrastructure Automation Module 12: Infrastructure Automation with Deployment Manager Deployment Manager, Configuration, Cloud Launcher Lab: Deployment Manager Module 13: Managed Services Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab Module 14: Application Infrastructure Services Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs Module 15: Application Development Services App Engine Module 16: Containers Containers, Kubernetes Engine, Container Registry Lab: Kubernetes Load Balancing Kubernetes Engine, App Engine, or Containers on Compute Engine?

CPO300 Course
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