Master Kong API Gateway with a practical guide that takes you from core architecture to advanced AI-powered API management. Learn to build secure, scalable platforms with production-ready examples, explore Kubernetes, decK and Terraform workflows, and discover how Kong AI Gateway enables intelligent LLM routing, semantic caching, guardrails and cost optimization across modern AI applications.
Apache APISIX is redefining what an API gateway can do in the age of AI. This hands-on guide takes you from the fundamentals to production-ready deployments, showing you how to build secure, scalable, and intelligent gateways for APIs, microservices and AI applications. With practical examples, you will gain the skills to confidently deploy, manage and optimize modern API infrastructure.
Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.
From clicking Send in Postman to API suites running in CI — REST, GraphQL, and gRPC, with the HTTP fundamentals that make it all make sense.
It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.
Every web application has security headers, cookies, TLS configurations, and CORS policies that need to be correct. Most teams find out they're wrong only after a penetration test — or worse, after an incident. This book shows you how to build a scanner that catches these issues automatically. You'll create a Python CLI tool that uses Hurl (declarative HTTP testing) to assert security properties, SSLyze to validate TLS protocol versions, and AI to generate specific remediation for every failure it finds. The output: structured JSON reports, visual HTML dashboards, and AI-generated security posture assessments. **What you'll build:** - 9 declarative Hurl security test files (headers, cookies, CORS, HSTS, CSP, CSRF, redirects, TLS) - A preprocessor that handles domain substitution and authentication - An output parser with built-in remediation guidance for every test - A TLS scanner validating SSL 2.0/3.0 disabled and TLS 1.2/1.3 enabled - An AI analyzer that generates context-specific fixes using Ollama, OpenAI, or Bedrock - An HTML reporter with dark-themed visual dashboards - Docker multi-architecture deployment - CI/CD pipeline with GitHub Actions **Who this is for:** - Developers who want security checks before deploying - DevSecOps engineers building CI/CD security gates - Penetration testers who need quick baseline assessments - Security students learning web vulnerability concepts hands-on - Platform teams enforcing security standards across services Every failure includes: what was expected, what was received, why it matters, how to fix it, and a documentation link. AI adds domain-specific code examples on top.
# 🚀 Master the Math Behind Artificial Intelligence!Stop drowning in complex textbooks. This premium, high-density **AI Math Cheat Sheet** is engineered specifically for Data Scientists, ML Engineers, and Python Developers who want to bridge the gap between mathematical theory and production-ready co
This ebook is written based on my personal experience and research to find a solution to use local models with limited infrastructure to expose their API for industrial scaling.
Software and infrastructure only create value when they pull in the same direction as the business. This book shows IT leaders how to get there: from shaping IT strategy and the architecture roadmap to the daily discipline of IT and architecture governance, all built on a pattern-based approach that adapts to your organization rather than forcing it into a template.Grounded in established frameworks such as TOGAF, COBIT, and ITIL, it pairs solid fundamentals with numerous real-world examples — and gives growing weight to compliance and IT security, now central concerns of any IT management agenda.This English edition is based on the German standard work on the subject, fully revised in its 4th edition (late 2024). It is current with TOGAF 10 and reflects recent developments in business-oriented enterprise architecture — including the open-source tool EDGY and patterns for digital strategy — alongside the latest trends in IT risk management and cybersecurity architecture.
What you've got here is a hands-on walkthrough of Spring Boot 4.0, where we'll build a single application from start to finish, using the command line and then packaging it as a JAR at the end. Each chapter adds one real capability, like a REST endpoint, a database, an error handler, a security layer or a test suite. Each chapter gets straight into the code, and you can run, modify and break it to see what happens.There's even a dedicated troubleshooting chapter at the end that deals with the exact errors beginners actually encounter in practice, not just hypothetical ones.
Analytics Patterns for Intelligent Decision Systems shows how to move beyond dashboards into analytics systems that explain, predict, recommend, optimize, and improve business outcomes.Packed with SQL patterns, KPI frameworks, forecasting models, recommendation logic, and decision intelligence templates, this book gives data professionals a practical blueprint for modern analytics.Build systems that do more than report the past — build systems that help decide what should happen next.
Every tutorial gets you to "Hello World." This book gets you to production. In 26 years of building and consulting on enterprise systems, I've seen exactly where the gap is, this is the book I wish existed when I started. You'll understand not just how to write the code, but why real systems are built the way they are.
Master Kong Gateway like a pro. Discover battle-tested strategies for Hybrid Control Plane/Data Plane architecture, Zero Trust security with mTLS, declarative IaC using decK, and enterprise-grade observability — all tailored for high-availability, multi-region deployments.The complete blueprint for architects and platform teams building secure, scalable API platforms.
The recipes in this book are practical answers to the kind of problems that real Django applications encounter, sometimes on the first day of a project and sometimes deep into the life of a codebase that has grown well beyond its original design. This book is written to guide you to utilize Django 6.0 capabilities in your apps with ease of implementation.
A practical backend interview reference covering modern Python and Django development (397 manuscript pages).