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AI and Cloud Native Software Engineering Building enterprise - scale cloud - native applications ...



AI and Cloud Native Software Engineering Building enterprisscale cloud - native applications with AI - integrated software | 3.76 MB

Title: AI and Cloud Native Software Engineering
Author: Dr. Pethuru Raj Chelliah, Dr. Kavita Saini, Dr. Rani Kumari
Category: Nonfiction, Computers, Advanced Computing, Parallel Processing, Networking & Communications, Programming
Language: English | 376 Pages | ISBN: 9378540473



Description:
Design, deploy, and scale cloud-native applications with Kubernetes mastery!
Key Features
● End-to-end Kubernetes mastery with hands-on, enterprise-grade labs.
● Architect resilient, secure, and multi-cloud native applications at scale.
● Proven DevOps, automation, and observability strategies for enterprises.
Book Description
Kubernetes has rapidly evolved into the foundation of modern cloud-native systems, making it indispensable for professionals building scalable and resilient applications. Ultimate Kubernetes for Cloud-Native Applications takes you beyond theory into practical mastery, blending Kubernetes with the essential cloud-native tech stack—including containers, Helm, Terraform, GitOps, Prometheus, Grafana, Istio, and multi-cloud platforms such as AWS, Azure, and GCP. Every chapter is designed to showcase how these technologies converge to deliver enterprise-grade scalability, security, and automation.
What you will learn
● Design and deploy scalable Kubernetes clusters for enterprise workloads.
● Run stateful databases with persistence using StatefulSets on AKS.
● Implement DevOps automation with Helm, Terraform, and GitOps pipelines.
Table of Contents

  • Introduction to Cloud Native and Kubernetes
  • Setting Up Kubernetes Clusters
  • Kubernetes Architecture Deep Dive
  • Containers, Pods, and Microservices Patterns
  • CI/CD Pipelines for Kubernetes
    6A. Scaling Applications Horizontally and Vertically Part A
    6B. Scaling Applications Horizontally and Vertically Part B
  • Securing Kubernetes Workloads and DevSecOps
  • Networking Strategies and Service Mesh with Istio
  • Debugging Kubernetes
  • Monitoring, Logging, and Observability
  • Automation with Helm, Terraform, and Ansible
  • Emerging Trends in Cloud-Native and Kubernetes
  • Advanced K8StatefulSets and Multi-Cluster Management
    Index


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Tags : AI, Cloud, Native, Software, Engineering


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