Container Technology Books

Struggling to streamline your Kubernetes development workflow? KIND Mastery: Advanced Techniques for Kubernetes IN Docker is your ultimate guide to conquering the complexities of Kubernetes IN Docker (KIND). This comprehensive resource dives deep into the intricacies of KIND architecture, empowering you to customize configurations, automate deployments, and optimize cluster creation with unparalleled efficiency. You'll gain the skills to enhance security, debug with precision, and scale applications seamlessly. From mastering Kubernetes networking to implementing cutting-edge GitOps workflows, this book equips you with the knowledge to elevate your containerized application management to new heights. Whether you're looking to contribute to the KIND project, develop custom controllers, or set up robust multi-cluster environments, KIND Mastery provides the advanced insights and practical strategies you need to become a true Kubernetes virtuoso.

Revolutionize your AI infrastructure with Kubernetes operators tailored for machine learning workflows. This comprehensive guide equips you with advanced techniques to design, implement, and optimize custom Kubernetes operators that streamline your entire ML lifecycle. From automating complex tasks like federated learning and hyperparameter tuning to enhancing model reproducibility and GPU utilization, you'll learn how to leverage Kubernetes to its full potential for AI workloads. Dive deep into cutting-edge topics such as distributed training, efficient model serving, and ML metadata management. Discover how to implement A/B testing strategies, orchestrate ML workflows, and integrate CI/CD pipelines specifically for machine learning projects. With a focus on scalability and performance, you'll master the art of resource allocation, cluster efficiency, and AI infrastructure scaling on Kubernetes. Whether you're looking to streamline your training processes, optimize model deployment strategies, or design a robust feature store, this book provides the expert insights and practical examples you need. Elevate your ML engineering skills and transform your organization's AI capabilities with Kubernetes operators designed for the unique challenges of machine learning.

You're about to dive deep into the world of advanced Kubernetes Go programming. This comprehensive guide takes you beyond the basics, equipping you with the knowledge and skills to architect, develop, and optimize complex Kubernetes-based systems. Through practical examples and real-world scenarios, you'll learn how to leverage Go's powerful features to create custom Kubernetes operators, extend the Kubernetes API, and implement advanced patterns for microservices deployment. You'll gain insights into optimizing cluster performance, enhancing security, and implementing robust monitoring and logging solutions. As you progress through the book, you'll master techniques for designing Kubernetes-native applications, implementing GitOps workflows, and automating operations at scale. You'll also explore cutting-edge topics such as service mesh integration, chaos engineering, and eBPF integration, preparing you to tackle the most challenging aspects of modern cloud-native architectures. By the end of this journey, you'll have the expertise to develop sophisticated Kubernetes solutions, contribute meaningfully to the Kubernetes ecosystem, and lead the way in cloud-native innovation within your organization.

Think you know Kubernetes? Think again. Many engineers believe they've mastered container orchestration, only to find themselves struggling with the complexities of large-scale, production-grade Kubernetes deployments. This book shatters common misconceptions and dives deep into the advanced techniques that separate true Kubernetes experts from the rest. You'll discover how to leverage Kubernetes' full potential, from implementing sophisticated GitOps workflows with Argo CD and Flux to mastering multi-cluster management with Karmada. Learn to fine-tune your clusters for optimal performance, implement robust security measures, and design highly available architectures that can withstand the demands of enterprise-scale applications. This comprehensive guide doesn't just teach theory - it provides practical, hands-on examples that you can apply immediately in your own environments. You'll gain insights into cutting-edge topics like custom operator development, advanced networking with Cilium, and observability with OpenTelemetry. By the end of this book, you'll have the skills and knowledge to architect, implement, and maintain world-class Kubernetes infrastructures that can scale with your business needs.

Achieve unparalleled efficiency in your Kubernetes clusters with KEDA Mastery. This comprehensive guide equips you with the knowledge to revolutionize your ML DevOps practices through advanced scaling techniques. You'll learn to optimize resource usage, enhance system reliability, and streamline your CI/CD pipelines using KEDA's powerful capabilities. From custom scaler design to integrating with service meshes, this book covers every aspect of KEDA implementation for ML workloads. Packed with practical examples and best practices, you'll master the art of auto-scaling, dive deep into KEDA's architecture, and learn to leverage its full potential for your ML operations. Whether you're looking to reduce cloud costs, improve platform stability, or scale your ML models efficiently, KEDA Mastery provides the insights and strategies you need to excel in the dynamic world of Kubernetes scaling.

Elevate your Kubernetes deployment game with "Helm Chart Mastery: Advanced Techniques for Optimizing Kubernetes Deployments." This comprehensive guide is tailored for seasoned software engineers ready to push the boundaries of their DevOps expertise. You'll dive deep into the intricacies of Helm chart design, learning to craft efficient, scalable, and secure deployments that stand up to the demands of complex, enterprise-level Kubernetes environments. From fine-tuning resource management to implementing sophisticated CI/CD pipelines, this book equips you with the knowledge to tackle the most challenging aspects of modern container orchestration. You'll master advanced concepts like custom plugin development, service mesh integration, and automated disaster recovery strategies. With hands-on examples and expert insights, you'll be empowered to streamline your deployment workflows, dramatically reduce errors, and accelerate your release cycles. Whether you're looking to optimize resource utilization, enhance cluster security, or implement cutting-edge GitOps practices, this book is your definitive resource for taking your Kubernetes deployments to the next level.