Architecting with Google Kubernetes Engine: Production

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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 GCP managed storage and database services from within GKE.

This course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on 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. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.

WEEK 1
25 minutes to complete
Course Introduction
In this module you'll become familiar with the structure and layout of the course.
2 videos (Total 5 min) 2 readings

5 hours to complete
Access Control and Security in Kubernetes and 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.
12 videos (Total 35 min) 1 reading 8 quizzes

4 hours to complete
GKE Logging and Monitoring
In this module you will learn how logging is implemented in Kubernetes and how GKE extends that basic functionality using Stackdriver which is a suite of 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 Stackdriver to monitor and manage the availability and performance of your GCP resources and also the applications that are built with those resources. You'll also learn to use Stackdriver and Google 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.
9 videos (Total 34 min)

3 hours to complete
Using GCP Managed Storage Services with 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 GCP 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.
13 videos (Total 30 min) 1 reading 5 quizzes


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Cung cấp bởi: Coursera /  Google Cloud

Thời lượng: 13 giờ
Ngôn ngữ giảng dạy: Tiếng Anh
Chi phí: Miễn phí / 0
Đối tượng: Intermediate

Thông tin về nhà cung cấp

Coursera (/ kərˈsɛrə /) là một nền tảng học tập trực tuyến toàn cầu được thành lập vào năm 2012 bởi 2 giáo sư khoa học máy tính của đại học Stanford là Andrew NgDaphne Koller, nền tảng này cung cấp các khóa học trực tuyến (MOOC) cho cộng đồng người học online.

Coursera hợp tác với các trường đại học danh tiếng tại Bắc Mỹ và trên khắp thế giới, cùng với nhiều tổ chức khác để cung cấp các khóa học trực tuyến chất lượng, theo chuyên ngành và được cấp chứng chỉ trong nhiều lĩnh vực như kỹ thuật, khoa học dữ liệu, học máy, toán học, kinh doanh, khoa học máy tính, tiếp thị kỹ thuật số, nhân văn, y học, sinh học, khoa học xã hội , và nhiều ngành khác.

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