"Your systems are talking. Are you listening?"In a world where downtime costs millions and silent failures hide in plain sight, observability isn’t just a buzzword—it’s your superpower. But with hundreds of tools, frameworks, and metrics to choose from, how do you cut through the noise?Observability Tools: Design & Comparison Guide is your no-BS playbook to: ✅ Design observability pipelines tailored to AI/ML, microservices, and event-driven architectures. ✅ Compare the top 10 tools—from Datadog to Grafana Stack—and pick the perfect fit for your budget and scale. ✅ Avoid costly mistakes with red flags, alert fatigue fixes, and cost-saving strategies.
A Comprehensive Engineering Guide to Smart Contract Auditing, EVM Internals, DeFi Exploitation, Protocol Economics, and Blockchain SecuritySmart contracts operate in environments where code, financial assets, cryptographic authorization, and economic incentives interact directly. A subtle implementation error can compromise access controls, corrupt accounting, undermine protocol solvency, or expose digital assets to irreversible loss. Understanding these risks requires more than familiarity with Solidity syntax. It demands a rigorous examination of execution semantics, storage architecture, transaction ordering, protocol mathematics, and the assumptions that connect individual contracts to larger decentralized systems.Smart Contract Security: Finding DeFi Vulnerabilities is a comprehensive, implementation-focused engineering reference to identifying, analyzing, testing, and mitigating vulnerabilities in Ethereum smart contracts and decentralized finance protocols. Across 40 chapters, it progresses from EVM architecture and Solidity execution to advanced DeFi attack surfaces, automated security analysis, formal verification, real-world exploit investigations, and professional auditing practices.
Master the 5 advanced Git power skills: reflog recovery, interactive rebase, cherry-pick, bisect debugging, and professional commit messages. Git, The Magic Notebook teaches Git through story and scenario, not boring command reference.You learn through real developers (Ajay, Maya, Ravi, Sanjay) facing real problems. The code examples work. The diagrams show actual processes. The scenarios are genuinely realistic.Because that's how you actually learn Git. Most developers know just enough Git to be dangerous. You could be one of the few who genuinely understands it.Start here. Master these power skills. Become the Git expert your team trusts.
Modern Java is more than a collection of new language features—it is a shift from implementing mechanics to expressing intent. Learn how records, sealed types, pattern matching, streams, modules, virtual threads, and other modern capabilities help you build Java software that is clearer, safer, and easier to evolve.
When critical infrastructure degrades, customer-facing applications continue blindly routing users into broken flows because modern architectures lack a dedicated layer for runtime coordination. This book introduces the Operational State Control Plane (OSCP)-formalizing the contracts, distribution mechanics, and zero-network resilience required to govern multi-surface application behavior during active incidents. A practical blueprint for platform architects, principal engineers, and SRE leaders running distributed production estates.
Learn real DevOps by building a production-style environment on your laptop. No cloud bills or subscriptions. Just systems you control end-to-end.
Concurrency is where small mistakes become serious problems. This practical guide takes you from hardware and memory models to locks, atomics and lock-free algorithms, with a focus on building fast, reliable systems that hold up under real production workloads.
INTRODUCTION- Welcome message- Why you need this book- How to use this book STORY INTRODUCTION (1 page)- The Magic Notebook Project- How four friends discover Git- Bridge to first chapter CHAPTERS 1-12 (18 pages)1. Branching - Work on separate timelines2. Commit - Create permanent checkpoints3. Push - Share your work4. Pull - Get everyone's latest changes5. Fetch - Check before merging6. Merge - Combine branches7. Rebase - Update to latest foundation8. Conflict Resolution - Resolve clashing changes9. Reset vs Revert - Undo mistakes safely10. Stash - Pause work temporarily11. Diff & Log - Investigate history12. Pull Requests - Team safety gates Each Chapter Includes:- Story continuation (3-4 lines)- Concept definition- 2 professional diagrams- Git command example- What happened explanation- Common mistakes- Tips to remember REFERENCE SECTIONS (2 pages)- The Four Places: Mental Model- Quick Reference Cheat Sheet- Key Takeaways CLOSING- Conclusion- What's next- Keep learning
Frameworks come and go; components built on the browser's own element model don't have to. This book teaches the platform first, then Lit on top of it, and builds one real design system the whole way through: from a bare button to a versioned, documented, server-renderable npm package.
AI evaluation agents crossed trust boundaries, reused credentials and coordinated through persistent shared state. This evidence-led reconstruction explains what happened, what remains unproven and how AgentSecOps can prevent the same architecture from failing again.
Design, Build, and Operate Autonomous AI Systems for Modern Cyber DefenseCybersecurity is evolving beyond traditional automation toward intelligent systems capable of continuously analyzing security telemetry, investigating threats, coordinating specialized tools, and executing controlled defensive actions. This shift introduces new engineering challenges involving agent architecture, decision-making, authorization, operational reliability, and the verification of security-critical actions.
A practical guide to operating systems, systems programming, memory, concurrency, filesystems, and low-level system behavior.
React Native got you far. But when performance, maintainability and long-term control start to matter, native development deserves another look. This book explores Swift, SwiftUI, Kotlin and Jetpack Compose, helping you understand when going native makes sense and how to make the move without losing what already works.
Build real-time data systems that can keep up with the demands of production. Streaming at Scale takes you under the hood of Apache Flink, covering state, event time, exactly-once processing, performance, Kubernetes and more. With runnable examples and practical lessons, it shows how to build systems that are fast, reliable and ready to scale.
Every sentence an AI writes can carry a hidden signature, and the world's biggest models are already signing their output. AI Watermarking shows you exactly how it works, using a four-word vocabulary and arithmetic you can check with a pocket calculator. By the end you will know what a watermark can prove, what destroys it in seconds, and why short text can never be tested.