Troubleshooting Workloads on GKE for Site Reliability Engineers faq

instructor Instructor: Google Cloud Training instructor-icon
duration Duration: duration-icon

Discover how to troubleshoot workloads on Google Kubernetes Engine (GKE) with this self-paced lab designed for Site Reliability Engineers. In the Google Cloud console, you will deploy and run a non-trivial application, allowing you to delve into the various services offered by the Google Cloud Platform. Gain hands-on experience with the Cloud Operations (formerly Stackdriver) product suite, enabling you to effectively monitor and optimize your workloads. Enhance your troubleshooting skills and become a proficient GKE user with this comprehensive course. Start your learning journey today!

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

29th May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 19th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
This is a self-paced lab that takes place in the Google Cloud console The Cloud Operations Sandbox is intended to make it easy for you to deploy and run a non-trivial application that lets you explore the Google Cloud Platform services particularly the Cloud Operations (formerly Stackdriver) product suiteWe consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

What skills and knowledge will you acquire during this course?
During this course, the learner will acquire various skills and knowledge related to troubleshooting workloads on GKE for Site Reliability Engineers. They will gain hands-on experience in using the Google Cloud console and deploying a non-trivial application. The course will focus on exploring the Google Cloud Platform services, with a particular emphasis on the Cloud Operations (formerly Stackdriver) product suite.

The learner will develop skills in identifying and resolving issues that may arise in GKE workloads. They will learn how to effectively monitor and analyze the performance of their applications using Cloud Operations tools. Additionally, they will gain knowledge on how to configure alerts and notifications to proactively detect and address potential problems.

Throughout the course, the learner will also acquire expertise in troubleshooting common issues related to networking, storage, and security in GKE environments. They will learn best practices for optimizing the performance and reliability of their workloads, as well as techniques for scaling and managing resources effectively.

By the end of the course, the learner will have a comprehensive understanding of troubleshooting techniques specific to GKE workloads and will be equipped with the necessary skills to ensure the smooth operation of their applications on the Google Cloud Platform.

How does this course contribute to professional growth?
This course on Troubleshooting Workloads on GKE for Site Reliability Engineers contributes significantly to professional growth. By participating in this self-paced lab, individuals can enhance their skills and knowledge in troubleshooting workloads on Google Kubernetes Engine (GKE) for Site Reliability Engineering (SRE) roles.

Through this course, professionals can gain hands-on experience in deploying and running non-trivial applications on the Google Cloud Platform (GCP) using the Cloud Operations Sandbox. This practical exposure allows them to explore various GCP services, with a particular focus on the Cloud Operations product suite (formerly known as Stackdriver).

By actively engaging in this lab, professionals can develop a deep understanding of troubleshooting techniques specific to GKE workloads. They can learn how to identify and resolve issues related to application performance, scalability, and reliability on GKE. This knowledge is invaluable for SREs, as they play a crucial role in ensuring the smooth operation of complex systems.

Moreover, this course enables professionals to familiarize themselves with the Google Cloud console, which is a fundamental tool for managing GCP resources. By becoming proficient in using this console, individuals can efficiently navigate and utilize various GCP services, further enhancing their professional capabilities.

Overall, this course provides a comprehensive learning experience that equips professionals with the necessary skills to troubleshoot GKE workloads effectively. By mastering these troubleshooting techniques and gaining hands-on experience with GCP services, individuals can significantly contribute to their professional growth as Site Reliability Engineers.

Is this course suitable for preparing further education?
The course "Troubleshooting Workloads on GKE for Site Reliability Engineers" seems suitable for preparing further education. It provides a self-paced lab in the Google Cloud console, allowing individuals to deploy and run a non-trivial application. This course specifically focuses on exploring the Google Cloud Platform services, with an emphasis on the Cloud Operations product suite (formerly Stackdriver). By gaining hands-on experience with troubleshooting workloads on GKE (Google Kubernetes Engine), individuals can enhance their skills and knowledge in site reliability engineering, which can be valuable for further education and career advancement in this field.

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faq FAQ for GKE Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

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