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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.
You will begin with the fundamentals of Kubernetes architecture and cluster setup before progressing into advanced topics such as CI/CD pipelines, service mesh, hybrid cloud, observability, and stateful workloads. With hands-on YAML labs, architectural blueprints, and case studies mirroring real-world challenges, the book ensures that you evolve from deploying simple clusters to orchestrating enterprise-scale, production-ready environments.
Thus, whether you are a Cloud Engineer, DevOps professional, Data Engineer, or Architect, this book is your complete guide to becoming a Kubernetes expert. By the end, you will not only understand Kubernetes but command it—designing cloud-native systems that are secure, automated, and future-ready. Hence, start your journey today, and accelerate your career in the cloud-native era!
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. ● Monitor, log, and secure clusters with Prometheus, Grafana, and Azure tools. ● Orchestrate multi-cluster and hybrid cloud deployments across regions. ● Optimize resources, scheduling, and performance for real-time AI/ML pipelines.
Table of Contents 1. Introduction to Cloud Native and Kubernetes 2. Setting Up Kubernetes Clusters 3. Kubernetes Architecture Deep Dive 4. Containers, Pods, and Microservices Patterns 5. CI/CD Pipelines for Kubernetes 6A. Scaling Applications Horizontally and Vertically Part A 6B. Scaling Applications Horizontally and Vertically Part B 7. Securing Kubernetes Workloads and DevSecOps 8. Networking Strategies and Service Mesh with Istio 9. Debugging Kubernetes 10. Monitoring, Logging, and Observability 11. Automation with Helm, Terraform, and Ansible 12. Emerging Trends in Cloud-Native and Kubernetes 13. Advanced K8s - StatefulSets and Multi-Cluster Management Index
Kamal Sharma, a Cloud Data Solutions Architect with above 16 years of experience, specializes in cloud-native tech, migrations, DevOps, automation, and data engineering. Skilled in AWS, Azure, GCP, and hybrid cloud, he drives scalable, secure solutions, aligning IT with business goals to deliver innovation, growth, and client success.
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