Google Cloud: Architecting with Google Compute Engine
Google Cloud Certified: Professional Architect
За Курса
- This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other 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 pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
Цели – Какво ще научите (Course Goals):
- This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine
Курсът е предназначен за (Audience):
- This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.
Формат на курса
Език на курса: български (английски е наличен като опция)
Учебни Метериали: в електронен формат (Учебните материали са на английски), включени в цената с неограничен достъп.
Лабораторна среда: всеки курсист разполага със собствена лаб среда, където се провеждат упражненията, част от курса.
Продължителност
- 3 работни дни (понеделник – петък 09:00 – 17:00)
или
- 24 уч.ч. обучение (теория и практика) в извънработно време с продължителност 1 седмици
- събота и неделя 10:00 – 14:00, 14:00 – 18:00, 18:00 – 22:00
- понеделник и сряда 19:00 – 23:00
- вторник и четвъртък 19:00 – 23:00
Плащане
Заявка за издаване на фактура се приема към момента на записването на съответния курс.
Фактура се издава в рамките на 7 дни от потвърждаване на плащането.
Предстоящи Курсове
За повече информация използвайте формата за контакт.
Ще се свържем с Вас за потвърждаване на датите.
Предпоставки (Изисквания) за Участие (Prerequisites):
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- To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments
Курсът подготвя за следните сертификационни нива
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- Google Cloud Certified Professional Architect
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Curriculum
- 10 Sections
- 47 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Module 1: Introduction to Google Cloud Platform7
- Module 2, Containers and Kubernetes in GCP4
- Module 3: Kubernetes Architecture5
- Module 4: Kubernetes Operations4
- Module 5: Deployments, Jobs, and Scaling5
- Module 6: GKE Networking5
- 7.1Create Services to expose applications that are running within Pods
- 7.2Use load balancers to expose Services to external clients
- 7.3Create Ingress resources for HTTP(S) load balancing
- 7.4Leverage container-native load balancing to improve Pod load balancing
- 7.5Define Kubernetes network policies to allow and block traffic to pods
- Module 7: Persistent Data and Storage5
- 8.1Use Secrets to isolate security credentials
- 8.2Use ConfigMaps to isolate configuration artifacts
- 8.3Push out and roll back updates to Secrets and ConfigMaps
- 8.4Configure Persistent Storage Volumes for Kubernetes Pods
- 8.5Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts
- Module 8: Access Control and Security in Kubernetes and Kubernetes Engine6
- 9.1Understand Kubernetes authentication and authorization
- 9.2Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces
- 9.3Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources
- 9.4Define Kubernetes pod security policies
- 9.5Understand the structure of GCP IAM
- 9.6Define IAM roles and policies for Kubernetes Engine cluster administration
- Module 9: Logging and Monitoring3
- Module 10: Using GCP Managed Storage Services from Kubernetes Applications3
- 11.1Understand pros and cons for using a managed storage service versus self-managed containerized storage
- 11.2Enable applications running in GKE to access GCP storage services
- 11.3Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application
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