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Google Cloud

Architecting with Google Kubernetes Engine: Production

Google Cloud and Google via Coursera

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Overview

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In this course, "Architecting with Google Kubernetes Engine: Production," you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google Cloud managed storage and database services from within GKE.

This is the final course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Reliable Google Cloud Infrastructure: Design and Process course or the Hybrid Cloud Infrastructure Foundations with Anthos course.

Syllabus

  • Course Introduction
    • In this module, you'll become familiar with the structure and layout of the course.
  • Access Control and Security in Kubernetes and Google Kubernetes Engine (GKE)
    • In this module, you will learn about Kubernetes authentication and authorization, in order to control who is able to perform what actions to resources in your GKE clusters. Using what you learn in this module will help you ensure that appropriate access policies are in place to make your cluster and applications more secure.
  • Google Kubernetes Engine (GKE) Logging and Monitoring
    • In this module you will learn how logging is implemented in Kubernetes, and how GKE extends that basic functionality using Google Cloud's operations suite, which are multi-cloud resource reconnaissance tools provided by Google. You'll learn to locate and inspect Kubernetes logs produced by resources inside your GKE clusters. You’ll learn how to use Google Cloud's operations suite to monitor and manage the availability and performance of your Google Cloud resources, and also the applications that are built with those resources. You'll also learn to use Google Cloud's operations suite and BigQuery for longer term retention and forensic analysis of logs. You'll learn how to create probes for wellness checks on the applications you’re running.
  • Using Google Cloud Managed Storage Services with Google Kubernetes Engine (GKE)
    • In this module, you’ll learn about the pros and cons of managed storage services versus self-managed containerized storage for your applications. You'll identify use cases for Cloud Storage for applications running in a Kubernetes cluster, and you'll survey the range of Google Cloud managed database services. You'll learn how to use the Cloud SQL Proxy to simplify the task of connecting from within Kubernetes applications to Cloud SQL, one of those services.
  • Using CI/CD with Google Kubernetes Engine (GKE)
    • In this module, we are going to introduce the concept of CI/CD, highlight some of the tools that are available to you in Google Cloud, and look at several use cases to find the one that fits your organization best.

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Google Cloud Training

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4.7 rating at Coursera based on 909 ratings

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