Modern Kubernetes: From Core Concepts to Intelligent Autoscaling for Cloud Applications / by Bablu Kumar, Anshul Verma, Pradeepika Verma.

Format:

Book

Author/Creator:

Kumar, Bablu.

Series:

Studies in Autonomic, Data-driven and Industrial Computing, 2730-6445

Language:

English

Subjects (All):

Computational intelligence.

Cloud computing.

Telecommunication.

Computational Intelligence.

Cloud Computing.

Communications Engineering, Networks.

Local Subjects:

Computational Intelligence.

Cloud Computing.

Communications Engineering, Networks.

Physical Description:

1 online resource (296 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book provides an in-depth exploration of Kubernetes, focusing on container orchestration and cluster communication between master and worker nodes. It covers Docker and Swarm for scalability and fault tolerance, along with storage, security, and scaling strategies. The book delves into etcd, the distributed key-value store that maintains Kubernetes cluster state, highlighting its role in consistency through the Raft consensus algorithm. It examines reactive and proactive autoscaling, comparing Horizontal, Vertical, and predictive models leveraging machine learning, statistical methods, fuzzy logic, and deep reinforcement learning. The MAPE (Monitor, Analyze, Plan, Execute) framework is explored for optimizing resource allocation and adapting to workload variations. Additionally, the book discusses Pod deployment, ReplicaSets, and StatefulSets to ensure application reliability and fault tolerance. Security aspects, including RBAC, network policies, and encryption for Kubernetes secrets, are thoroughly covered. To support professional growth, the book includes a section on Kubernetes certification and career paths, featuring review questions, key takeaways, and summaries for easy comprehension. With real-world examples and best practices, this book equips readers to effectively manage Kubernetes environments while balancing performance, scalability, and security.

Contents:

Introduction of Kubernetes

Kubernetes Fundamentals

Kubernetes Architecture

Kubernetes vs. Docker Swarm

Kubernetes Version Evolution and Comparative Analysis

Effective Stateful Applications and Data Persistence

Reactive vs. Proactive Autoscaling in Kubernetes

Intelligent Autoscaling with the MAPE Framework

Kubernetes Resource Management for Cloud-Native and Edge Applications

Installation and Setup

Kubernetes Deployment and Management

Storage and Networking

Security and Monitoring

Advanced Topics, Kubernetes Certification and Career.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-12972-9

9783032129727

OCLC:

1573147147