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E-BooksMastering DevOps in Kubernetes



Mastering DevOps in Kubernetes
Free Download Mastering DevOps in Kubernetes: Maximize your container workload efficiency with DevOps practices in Kubernetes
by Soumiyajit Das Chowdhury
English | 2024 | ISBN: 9355518307 | 446 Pages | True ePUB | 23.6 MB


DevOps with Kubernetes combines two powerful technologies to bring efficiency and speed to the software development process. Kubernetes has become the de facto standard for container orchestration, while DevOps practices are rapidly becoming essential for organizations to manage their software development and delivery pipelines. By using Kubernetes and DevOps practices together, teams can streamline their deployment processes, reduce errors, and deliver software faster and more reliably.
The book starts by addressing the real-time challenges and issues that DevOps practitioners face. The book then helps you become acquainted with the fundamental and advanced Kubernetes features, and develop a comprehensive understanding of the standard CNCF components that accompany Kubernetes. The book then delves deeper into the three leading managed Kubernetes services - GKE, AKS, and EKS. Additionally, the book will help to learn how to implement security measures to protect your Kubernetes deployments. The book further explores a range of monitoring tools and techniques that can be used to quickly identify and resolve issues in Kubernetes clusters. Finally, the book will help you learn how to use the Istio Service Mesh to secure communication between workloads hosted by Kubernetes.
With this information, you will be able to deploy, scale, and monitor apps on Kubernetes.
What you will learn
● Learn how to manage stateful containers with Kubernetes.
● Get to know more observability and monitoring in Kubernetes.
● Package and deploy applications on Kubernetes using Helm.
● Learn how to use Skaffold and Flux for CI/CD.
● Learn how microservices can be managed and deployed using the Istio service mesh.
The book is a must-read for DevOps teams using Kubernetes to deploy container workloads. It offers valuable insights into the best practices required to make their application container-agnostic and streamline their workflows.


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