Persistent Data, Monitoring & Cost Optimization in AKS
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In this course, you'll gain essential skills in managing, monitoring, and optimizing costs in Azure Kubernetes Service (AKS). You'll learn to deploy and manage network policies, monitor resources using Prometheus and Grafana, and ensure cost efficiency across AKS environments. The course is designed to take you from theory to practice, with in-depth demos and hands-on exercises that reinforce learning and enhance practical experience. You’ll learn how to secure access to services, manage custom roles, and deploy applications with GitOps. You'll also dive into key topics like resource scaling, versioning, and cost management strategies that ensure your AKS setup runs efficiently.
As you progress, the course will guide you through advanced configurations, such as setting up AKS in a private virtual network, deploying LLM models, and analyzing AKS costs. Each module has been designed with clear learning objectives and practical demos to ensure you understand the tools and processes involved. From managing network policies with Calico to using Azure Monitor and implementing API Management, you'll master techniques that streamline and secure your AKS deployments.
This course is ideal for professionals managing AKS environments, DevOps engineers, and cloud architects looking to optimize Kubernetes clusters for security, performance, and cost. There are no specific prerequisites, but familiarity with Kubernetes concepts and Azure Cloud will be helpful. The course is of intermediate difficulty and assumes a basic understanding of containerized applications and cloud platforms.
By the end of the course, you will be able to manage and optimize AKS deployments, implement network security policies, monitor AKS clusters with advanced tools, and analyze
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