Prashanth Josyula, Karanbir Singh, Anupam Mehta

Broschiertes Buch

Practical Istio

Learn Istio Service Mesh, Microservices, and Cloud-Native Architecture for Optimal Performance

Beschreibung

Istio is a powerful service mesh technology that enhances the security, observability, and traffic management of microservices within cloud-native architectures. As organizations increasingly adopt microservices, managing the complexity of service interactions becomes critical. This book is designed to help professionals navigate these complexities by providing a deep understanding of Istio, empowering them to leverage their full potential in building resilient, scalable, and secure service infrastructures.

Practical Istio offers a comprehensive journey through the service mesh, beginning with an introduction to its architecture and fundamental concepts. Readers will delve into advanced topics such as traffic management, security enforcement, and observability, gaining insights into how to implement and optimize Istio in real-world scenarios. Each chapter is crafted to provide practical guidance, including detailed explanations of Istio s key components, like 'Istiod' and 'Envoy', hands-on examples for managing production grade deployments, and strategies for integrating Istio with CI/CD pipelines. The book also covers emerging trends and future directions of service mesh technology, ensuring readers stay ahead of the curve.

By the end of this book, readers will be equipped with the knowledge and skills needed to implement Istio in production environments. Whether you re a DevOps engineer, a cloud architect, or a software developer, this book will elevate your understanding of service mesh technology, enabling you to build robust, secure, and efficient microservices architectures with Istio at the core.

You Will Learn:

Istio s architecture and core components enable you to effectively manage and secure microservices in a cloud-native environment.

Practical skills in traffic management, security, and observability to optimize service performance and reliability

Autor

Prashanth Josyula is a seasoned IT professional based in San Francisco, USA who has 16 years of experience in the IT industry, specializing in AI, machine learning, Kubernetes and service mesh technologies. As a Principal Member of Technical Staff (PMTS) at Salesforce, he plays a pivotal role in architecting scalable, intelligent, and resilient cloud-native infrastructures, integrating AI-driven automation with modern distributed systems. Prashanth has worked extensively on integrating AI solutions into cloud-native environments, ensuring seamless deployment and intelligent orchestration of workloads and he continues to push the boundaries of intelligent cloud-native computing and to use his expertise to help organizations harness the full potential of AI-powered automation and distributed architectures, shaping the future of secure, scalable and efficient technology ecosystems. Karanbir Singh is currently a Senior Software Engineer at Salesforce and with almost a decade of experience leading AI/ML engineering and distributed systems, is an active contributor to the AI and software engineering community, frequently speaking and participating in industry-leading conferences on cutting-edge technologies such as Retrieval-Augmented Generation (RAG), AI Agents, Responsible AI and Time-Series Analysis.  Anupam Mehta is a distinguished Security Engineer with over a decade of expertise in threat modeling, infrastructure security, DevSecOps, and product and application security. He currently serves as a Product Security Engineer at Stripe, where he leads security assessments for core and critical systems, ensuring the integrity and resilience of Stripe’s infrastructure. Anupam's work involves deep-dive security evaluations of software supply chains, reinforcing the security of modern cloud-native environments.

Produktdetails

• Verlag: Apress / Springer, Berlin
• Artikelnr. des Verlages: 979-8-8688-1572-0
• First Edition
• Seitenzahl: 559
• Erscheinungstermin: 10. August 2025
• Englisch
• Abmessung: 254mm x 178mm
• ISBN-13: 9798868815720
• Artikelnr.: 74033754