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Persistent Data, Monitoring & Cost Optimization in AKS

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. 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 and optimize the cost of your AKS resources.
Duration 3 Months
Institution Packt
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Packt.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $319
Total Est. Investment $319

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Persistent Data, Monitoring & Cost Optimization in AKS program at Packt are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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