Practical Istio

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.

• Chapter 1: Introduction to Istio.- Chapter 2: Understanding Istio’s Core Components.- Chapter 3: Traffic Management with Istio.- Chapter 4: Advanced Traffic Management with Istio.- Chapter 5: Securing Microservices with Istio.- Chapter 6: Establishing Observability Foundations in Istio: Infrastructure, Tracing, and Metrics.- Chapter 7: Visualizing and Analyzing Service Mesh Data: Grafana, Kiali, and Logging.- Chapter 8: Deploying Istio in Production.- Chapter 9: Extending Istio with Custom Plugins.- Chapter 10: The Future of Istio and Emerging Trends.

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