array(1) {
  [0]=>
  object(WP_Term)#1648 (10) {
    ["term_id"]=>
    int(48)
    ["name"]=>
    string(16) "Computer Science"
    ["slug"]=>
    string(16) "computer-science"
    ["term_group"]=>
    int(0)
    ["term_taxonomy_id"]=>
    int(48)
    ["taxonomy"]=>
    string(8) "variants"
    ["description"]=>
    string(991) "Learn computer science through free online courses from leading universities around the world, including Harvard, Berkeley, Cornell, Leuven and Massachusetts Institute of Technology. Search for your favorite university or select your preferred course duration or weekly effort. Most of these computer science courses are self-paced.


Popular topics:
Artificial Intelligence, Cybersecurity, DevOps, Internet of Things, Machine Learning, Programming, Software Development" ["parent"]=> int(0) ["count"]=> int(1039) ["filter"]=> string(3) "raw" } } object(WP_Post)#5003 (24) { ["ID"]=> int(9816) ["post_author"]=> string(1) "1" ["post_date"]=> string(19) "2019-09-30 10:31:08" ["post_date_gmt"]=> string(19) "2019-09-30 10:31:08" ["post_content"]=> string(0) "" ["post_title"]=> string(53) "Architecting with Google Kubernetes Engine: Workloads" ["post_excerpt"]=> string(0) "" ["post_status"]=> string(7) "publish" ["comment_status"]=> string(6) "closed" ["ping_status"]=> string(6) "closed" ["post_password"]=> string(0) "" ["post_name"]=> string(52) "architecting-with-google-kubernetes-engine-workloads" ["to_ping"]=> string(0) "" ["pinged"]=> string(0) "" ["post_modified"]=> string(19) "2019-09-30 10:31:08" ["post_modified_gmt"]=> string(19) "2019-09-30 10:31:08" ["post_content_filtered"]=> string(0) "" ["post_parent"]=> int(0) ["guid"]=> string(93) "https://syllabase.com/course/%variants%/architecting-with-google-kubernetes-engine-workloads/" ["menu_order"]=> int(0) ["post_type"]=> string(6) "course" ["post_mime_type"]=> string(0) "" ["comment_count"]=> string(1) "0" ["filter"]=> string(3) "raw" }
Go to class

Architecting with Google Kubernetes Engine: Workloads

Google Cloud

This course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (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.

In this course, “Architecting with Google Kubernetes Engine: Workloads,” you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.

>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

Go to class
  • Provider: Google Cloud
  • Cost: FREE (7 days trail)
  • Effort: Approx. 15 hours to complete
  • Duration: 3 weeks of study, 6-8
  • Language: English

Syllabus

  • Course introduction
  • In this module, you'll get to know...
  • Kubernetes Operations
  • Deployments, Jobs, and Scaling
  • Google Kubernetes Engine Networking
  • Persistent Data and Storage