Monitoring and Scaling Applications in Kubernetes

Course Overview

What does this course tell?
(Please note that the following overview content is from the original platform)

This course will teach you the advanced concepts of Kubernetes, how to monitor microservices at scale, and introduce an auto-scaling facility as property setting within Kubernetes to manage microservices at scale to enhance the performance.
Organizations these days sit on massive piles of data, hence the data processing applications. In this course, Monitoring and Scaling Applications in Kubernetes, you’ll learn to manage and monitor microservices in the form of docker containers at scale. First, you’ll explore Kubernetes and different types of objects configuration. Next, you’ll discover the monitoring aspects of the Kubernetes Cluster. Finally, you’ll learn how to incorporate auto-scaling features within Kubernetes. When you’re finished with this course, you’ll have the skills and knowledge of Advanced Monitoring Concepts of Kubernetes Cluster needed to scale microservices post certain threshold needs.What can you get from this course?
We 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:
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What skills and knowledge will you acquire during this course?
This course, Monitoring and Scaling Applications in Kubernetes, will provide learners with the skills and knowledge to understand the advanced concepts of Kubernetes and how to monitor and scale microservices at scale. Learners will gain an understanding of Kubernetes objects configuration, monitoring aspects of the Kubernetes Cluster, and how to incorporate auto-scaling features within Kubernetes. They will learn how to monitor microservices in the form of docker containers at scale, and how to set up an auto-scaling facility as property setting within Kubernetes to manage microservices at scale to enhance the performance. Additionally, learners will gain an understanding of the importance of container orchestration and cloud computing in automation and DevOps. By the end of this course, learners will have the skills and knowledge of Advanced Monitoring Concepts of Kubernetes Cluster needed to scale microservices post certain threshold needs. They will be able to confidently monitor and scale applications in Kubernetes, and use the knowledge to improve the performance of their applications.

How does this course contribute to professional growth?
This course, Monitoring and Scaling Applications in Kubernetes, provides learners with the skills and knowledge of advanced monitoring concepts of Kubernetes Cluster needed to scale microservices post certain threshold needs. It helps learners understand the importance of container orchestration and cloud computing in automation and DevOps, and how to monitor and scale microservices at scale. By gaining an understanding of Kubernetes objects configuration, monitoring aspects of the Kubernetes Cluster, and how to incorporate auto-scaling features within Kubernetes, learners will be able to confidently monitor and scale applications in Kubernetes, and use the knowledge to improve the performance of their applications. This course thus contributes to professional growth by providing learners with the necessary skills and knowledge to effectively monitor and scale applications in Kubernetes.

Is this course suitable for preparing further education?
This course, Monitoring and Scaling Applications in Kubernetes, is suitable for preparing further education as it provides learners with the skills and knowledge of Advanced Monitoring Concepts of Kubernetes Cluster needed to scale microservices post certain threshold needs. Learners will gain an understanding of Kubernetes objects configuration, monitoring aspects of the Kubernetes Cluster, and how to incorporate auto-scaling features within Kubernetes. They will also learn how to monitor microservices in the form of docker containers at scale, and how to set up an auto-scaling facility as property setting within Kubernetes to manage microservices at scale to enhance the performance. By the end of this course, learners will have the necessary skills and knowledge to confidently monitor and scale applications in Kubernetes, and use the knowledge to improve the performance of their applications.