Securing, Monitoring, and Scaling Kubernetes Clusters

749 students enrolled
The Advanced Kubernetes - Securing, Monitoring, and Scaling Kubernetes Clusters course is designed for individuals who want to gain expertise in securing, monitoring, and efficiently managing Kubernetes clusters while also understanding how to scale them effectively to meet application demands. This course will build upon the foundational knowledge obtained in the introductory course. It will guide learners through advanced security measures, assist in gaining expertise in cluster monitoring, and will help them to master techniques for seamless scalability. After completing this course, you should be able to: - Explain the role of Role-Based Access Control (RBAC) in Kubernetes security - Identify the importance of network policies in cluster security - Evaluate the effectiveness of RBAC and network policies in various scenarios - Identify key metrics and indicators for monitoring Kubernetes clusters - Compare and contrast popular monitoring tools for Kubernetes - Analyze monitoring data to detect and troubleshoot issues in the cluster - Explain the importance of resource quotas in managing cluster resources - Describe resource quotas for efficient resource allocation - Summarize the role of auto-scaling in managing cluster scalability
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Kubernetes
  • Role-Based Access Control (RBAC)
  • Scalability
  • Authorization (Computing)
  • Network Security
  • Identity and Access Management
  • Cyber Security Policies
  • System Monitoring
  • Network Monitoring
  • Continuous Monitoring
  • Capacity Management
  • Performance Tuning

Details

  • ProviderLearnQuest
  • TypeCourse
  • CategorySoftware & Programming
  • LanguageEnglish

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Ramazan Bölükbaşı
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Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram
$49
CampusOnline Assistant
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