Amsel Leon (52 results)

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Paperback. Condition: new. Paperback. Agentic Identity Management and Shadow Agents in KubernetesDesigning Zero-Trust Identity Architecture for AI Agents and Autonomous Workloads What happens when your Kubernetes cluster stops running predictable services, and starts running autonomous AI agents?Static service accounts. Long-lived API keys. Broad RBAC roles. These controls were built for deterministic workloads. But AI agents are different. They reason, delegate, and act dynamically across services at machine speed. When identity remains static while behavior becomes probabilistic, your attack surface expands dramatically.Agentic Identity Management and Shadow Agents in Kubernetes addresses this exact challenge. This book provides a practical, engineering-focused blueprint for designing Zero-Trust identity architecture specifically for AI agents and autonomous workloads inside Kubernetes environments.If you are responsible for cloud-native security, platform engineering, or DevSecOps governance, this book equips you with the architectural patterns and operational controls required to secure non-human identities at scale.You will learn how to: Replace static secrets with cryptographically verifiable workload identities using SPIFFE and SPIREEnforce mutual TLS (mTLS) and identity-based network policies across service meshesImplement Just-in-Time (JIT) credential provisioning to eliminate standing privilegesDetect and contain Shadow AI workloads using eBPF-driven runtime observabilityPrevent cross-agent privilege escalation in multi-agent systemsDesign precision revocation workflows that isolate rogue replicas without impacting availabilityApply attribute-based access control (ABAC) and policy-as-code to agent delegation chainsBuild federated identity across multi-cluster and multi-cloud Kubernetes environmentsRather than treating AI agents like traditional microservices, this book introduces the concept of Agentic Workload Identity, a security model where identity is continuously verified, tightly scoped, and instantly revocable. You will see how to shrink blast radius to the individual pod, bind identity cryptographically to workload state, and enforce Zero-Trust principles at every delegation hop.Shadow agents, confused deputy attacks, prompt injection side effects, and cross-agent escalation are no longer theoretical risks. They are operational realities in modern AI-driven infrastructure. This book provides concrete strategies and production-ready architectural patterns to defend against them.Clear, direct, and technically grounded, this guide avoids hype and focuses on what matters: secure, scalable Kubernetes infrastructure for autonomous systems.If you are building or securing AI agents in Kubernetes, and want identity to become your strongest control plane rather than your weakest link, this book belongs on your desk.Equip your platform with Zero-Trust architecture built for the agentic era.Order your copy today and design identity systems that keep pace with autonomous intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Practical SQL and PostgreSQL for DevelopersLearn Real-World Query Skills, Performance Tuning, and Modern Postgres Tools to Deliver Efficient, High-Quality AppsWhat separates average applications from fast, reliable, production-grade systems? Almost always, it comes down to one thing: how well developers understand and use their database. If you've ever wondered why a query slows down under real traffic, why an index suddenly matters, or how to shape data so your app remains stable as it grows, this book is built for you.Practical SQL and PostgreSQL for Developers gives you the modern, hands-on guidance needed to build applications that stay fast, predictable, and easy to maintain. Instead of abstract theory, you'll work with real SQL patterns, real PostgreSQL features, and real performance techniques used in production systems today. Whether you're building SaaS platforms, analytics workloads, or everyday backend services, this book shows you how to think and build like a database-first developer.You'll learn how SQL and PostgreSQL actually behave under real workloads, and how to use that knowledge to write cleaner queries, structure better schemas, and tune your database with confidence. You'll understand not just what to write, but why it performs the way it does.By the time you finish, you'll be able to: Write efficient SQL queries built for real application needs.Design schemas that scale predictably as your data grows.Use PostgreSQL indexing, constraints, and data types to improve performance.Analyze slow queries with EXPLAIN and fix them using proven tuning techniques.Work confidently with JSONB, CTEs, window functions, triggers, and advanced SQL features.Set up PostgreSQL environments, replication, pooling, and configurations with developer clarity.Deploy and monitor Postgres-backed applications using industry-standard tools.Apply practical techniques for concurrency, reliability, backups, and version upgrades.This book is written for developers who want to strengthen their SQL fundamentals and use PostgreSQL as more than a simple storage layer. The explanations are clear, the examples are practical, and the methods reflect how real teams build high-performance systems.If you're ready to write faster queries, build smarter database structures, and ship applications that perform well in production, then now is the time to take the next step. Start reading and level up your PostgreSQL skills today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Rust for High-Performance SystemsBuild Faster, Safer, Production-Ready Applications with Proven Patterns and Real-World TechniquesWhat if your systems could run faster, scale further, and remain dependable under pressure, without the constant fear of memory bugs or unpredictable behavior? Many engineers search for a language that offers both raw performance and long-term safety, yet few tools deliver on both fronts. Rust does. It gives you low-level control, fearless concurrency, predictable execution, and an ecosystem built for modern backend and systems development.Rust for High-Performance Systems shows you how to apply Rust's strengths directly to real engineering challenges. Instead of abstract concepts, you get practical strategies used by teams building reliable, high-throughput services today. Each chapter focuses on actionable techniques, workspace organization, async patterns, error handling, optimization workflows, reproducible builds, integration strategies, and production-quality testing, so you can build systems that behave correctly under real workloads.You'll see how professionals structure projects for growth, tune services for performance, and design components that remain stable over time. The guidance is clear, systematic, and grounded in proven practices from Rust's rapidly maturing ecosystem. Whether you're improving an existing codebase or creating a new service, this book gives you the foundation and the advanced techniques to work efficiently and confidently.You'll learn how to: Structure Rust applications using reliable project layouts, workspaces, and dependency management techniquesBuild scalable backend services using async runtimes, concurrency strategies, and efficient I/O modelsReduce runtime overhead through profiling, benchmarking, and targeted performance tuningConfigure build profiles, maintain reproducible builds, and prepare optimized release artifactsStrengthen service reliability using practical error-handling patterns, logging, tracing, and robust testingIntegrate Rust effectively into broader architectures through safe interop and modular design choicesDeploy, maintain, and evolve high-performance systems with CI/CD workflows and best operational practicesThe goal of this book is simple: help you write software that performs consistently, scales responsibly, and remains maintainable as requirements grow. Rust is a powerful tool for achieving these outcomes, but like any serious engineering discipline, its real value appears only when paired with the right habits and patterns. This book provides those patterns in a clear, accessible style designed for working developers.If you're ready to build systems that combine speed, reliability, and long-term stability, and if you want practical guidance you can apply immediately, this book will serve as your blueprint.Build with confidence. Build with precision. Start creating high-performance systems with Rust today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Kotlin Multiplatform for AI-Powered Mobile AppsBuild Android & iOS Applications with Shared Kotlin Code and On-Device Machine Learning ModelsWhy do so many mobile teams struggle to deliver AI features consistently across Android and iOS? And why does performance often fall short when a model leaves the lab and lands on a real device? These are the barriers every modern developer faces, and they're exactly the challenges this book is built to solve.Kotlin Multiplatform for AI-Powered Mobile Apps presents a clear, production-focused approach for building intelligent mobile applications that run fast, protect user privacy, and ship reliably on both platforms, all powered by a single shared codebase. Instead of managing two separate implementations, you learn how to align your architecture, preprocessing logic, and ML workflows in one place, while still delivering high-quality native experiences.This book gives you practical, repeatable strategies grounded in real mobile engineering. You learn how Kotlin Multiplatform, TensorFlow Lite, ONNX Runtime, and modern mobile toolchains work together to support on-device machine learning that users can trust.Readers will gain the ability to: Build Android and iOS apps from a unified Kotlin foundation.Structure shared ML logic that handles preprocessing, inference orchestration, and postprocessing consistently across platforms.Convert, optimize, and package TensorFlow Lite and ONNX models for mobile deployment.Benchmark inference performance, reduce latency, and manage memory constraints on real devices.Integrate ML features into native or shared UI frameworks with clean, testable patterns.Create model update pipelines, version artifacts correctly, and handle real-world rollout and fallback scenarios.Whether you're a mobile developer aiming to extend your skill set or an ML practitioner ready to ship intelligent features to millions of users, this book shows you how to bring advanced capabilities to production without complexity or guesswork. You'll learn practical techniques that help you meet performance targets, satisfy app store requirements, and maintain scalable projects that evolve smoothly over time.If you want to build high-performance cross-platform mobile apps powered by on-device machine learning, and you're ready for a practical guide that translates cutting-edge tools into real, repeatable workflows, secure your copy today and start building the next generation of intelligent mobile experiences. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. Practical Data Security for Engineers: Build and Protect Modern Data Systems with Zero Trust, Encryption, and Compliance-Ready WorkflowsBy Leon AmselHow do you secure data in an era where threats evolve faster than most teams can react? How do engineers protect modern data platforms without slowing delivery or burying themselves in complexity? These are the exact challenges this book is built to solve.Practical Data Security for Engineers gives you a clear, actionable path for building data systems that are resilient, compliant, and engineered for real-world pressure. Instead of abstract principles or outdated checklists, you'll work step-by-step through the controls, automation patterns, and verification techniques used by high-performing data teams. Whether you're responsible for pipelines, identity, infrastructure, analytics, or governance, this guide shows you how to apply proven, production-ready security practices with confidence.You'll explore how modern threats actually operate, then learn how to strengthen your architecture with Zero Trust, encryption, classification workflows, least-privilege access, secure pipelines, incident response, and privacy-first design. Every chapter focuses on practical execution, from Terraform patterns and IAM controls to evidence generation, anomaly detection, and compliance automation. The book provides the structure, templates, and engineering patterns you need to make security repeatable instead of reactive.By the end, you'll confidently know how to: - Build data systems around a strong, data-centric security model.- Enforce classification, governance, retention and traceability across pipelines.- Implement least-privilege access, service identities and automated credential controls.- Apply encryption at rest, in transit and in use using modern KMS/HSM workflows.- Secure ingestion, streaming, transformation and serving layers without friction.- Detect misuse through telemetry, indicators, and anomaly signals tailored to data platforms.- Respond to incidents with structured runbooks, evidence preservation and containment steps.- Meet regulatory requirements (GDPR, CCPA, HIPAA) with confidence and produce audit-ready evidence.- Operationalize security through IaC, CI policies, automation and continuous improvement frameworks.If you're an engineer, architect, data leader, or security professional responsible for keeping data safe in cloud, hybrid or on-prem environments, this book delivers the practical patterns and technical clarity you've been looking for. It gives you the tools to design, implement and maintain systems that stand up to scrutiny, from internal audits to regulatory reviews.Take the next step toward building stronger, more reliable data systems. Add this book to your library and put its strategies to work in your environment today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.