Books

Master Data and ML Systems at ScaleYou don't master data platforms from textbooks — you master from solving real problems at petabyte scale.Grokking Data Analytics and Machine Learning teaches through production scenarios and case studies. 100 scenario-driven case studies covering:✅ Lakehouse architecture with Delta Lake, Iceberg, Hudi✅ Real-time pipelines with Kafka, Spark, Flink✅ Feature stores with Feast for training-serving consistency✅ MLOps platforms with MLflow, SageMaker, Airflow✅ Data quality frameworks with Great Expectations✅ Multi-region data sync and model serving at scale Every scenario includes: production challenge, architectural trade-offs, data/ML patterns, decision frameworks, and interview-ready explanations. Learn through real-world case studies from Netflix, Uber, Airbnb, Spotify's petabyte-scale data and ML architectures. Your journey from data engineer to architect begins here — with scenarios you'll face and systems you can build.

You don't master distributed systems from diagrams — you master from solving complex problems at scale. How does Netflix handle distributed transactions across regions? How does Uber orchestrate sagas for ride workflows? Grokking System Design – Advanced Track teaches through production scenarios and case studies. 124 advanced scenario-driven case studies covering: ✅ Event sourcing, CQRS, saga orchestration ✅ Service mesh with Istio configuration ✅ Distributed tracing with OpenTelemetry ✅ Workflow orchestration with Temporal ✅ Change data capture with Debezium ✅ Multi-region architectures and conflict resolution Every scenario includes: production challenge, architectural trade-offs, advanced patterns, decision frameworks, and interview explanations. Learn through real-world case studies from Google, Netflix, Uber, Meta, and Stripe's planet-scale architectures. Your journey from senior engineer to architect begins here — with scenarios you'll face and patterns you can implement.

Master System Design from Theory to ProductionYou don't learn system design from textbooks — you learn from solving real problems. How does Netflix handle video streaming at scale? How does Uber route millions of rides? How does Slack deliver messages instantly? Grokking System Design – Foundation Track teaches through real-world scenarios and case studies. 124 scenario-driven case studies covering: ✅ Database design, sharding, replication ✅ Caching with Redis configuration ✅ Microservices with Spring Boot & Kubernetes ✅ Message queues with Kafka ✅ Load balancing with NGINX ✅ Monitoring with Prometheus Every scenario includes: production problem, architectural approaches, design patterns, decision frameworks, tool configurations, and interview-ready explanations. Learn through real-world case studies — from Google, Amazon, Meta, Netflix, and top tech companies. Your journey from developer to designers begins here — with scenarios you'll face and tools you can deploy.

Most data engineering projects fail not because of technology—but because of design.Design-Driven Data Engineering reveals a powerful new approach: start with business design, shape clarity through information modeling, and only then build systems that scale. This book gives you the frameworks, blueprints, and real-world patterns to design architectures aligned with business value, analytics needs, and modern AI-era requirements. Whether you’re an engineer, architect, analyst, or technical lead, this guide shows you how to turn complexity into clarity—and build data systems that actually work.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

Born from year one of The Coder Cafe, the newsletter trusted by 3,000+ readers, this contains distills timeless concepts to help you master the fundamentals of software engineering: code health, testing, distributed systems, critical thinking, and more.Written by Teiva Harsanyi, Google SWE and published author, it supports your growth as an engineer, one concept at a time.

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

Your API deserves more than just working, it deserves to be exceptional.

What's the difference between knowing about cybersecurity and actually doing cybersecurity? Practice with real tools on real problems. This field guide takes you from theory to practice with hands-on AWS, Linux, Python, Splunk, and SQL skills. Learn through actual incident response scenarios, not sanitized demos. Build working security solutions you can deploy tomorrow.

Data-architectuur in de praktijk is hét handboek voor elke data-architect én zijn omgeving. Wie dit boek gelezen heeft is thuis in termen als: data-principes en -patronen, datamodellen en repositories.

Learn how real databases work by following this practical guide to building your own in a programming language of your choice.Build a language from scratch- Create an interpreter that can parse, type check and run SQL queries. Start with running simple queries and build up to more complex ones.Learn SQL (the fun way) - Gain a deeper understanding of SQL. Cover the order of execution of queries, how SQL uses ternary logic and the techniques that databases use to join and group data efficiently. Compare your implementation with databases such as PostgreSQL, MySQL, SQLite and DuckDB.Improve as a programmer- The perfect project to practice how to structure and refactor code as you grow the feature set of your database server. The 200+ included test cases provide a safety net for refactoring your code, giving you freedom to experiment. Learn computer science topics including creating a recursive descent parser, building a type checker and implementing iterators.

ہر بڑی ایپلیکیشن کے پیچھے، ایک منفرد کہانی چھپی ہوتی ہے جو ہمیں بتاتی ہے کہ کس طرح اُس نے اپنے آغاز سے لے کر کروڑوں اور اربوں صارفین کو ہینڈل کرنے کے لیے اپنے سسٹم کو بہتر بنایا۔ اس میں، ہم چند مشہور پلیٹ فارمز کی سکیلنگ کی کہانیوں پر نظر ڈالیں گے اور دیکھیں گے کہ انہوں نے کن چیلنجز کا سامنا کیا، کن ٹیکنالوجیز کا استعمال کیا، اور کس طرح اپنے آرکیٹیکچر کو بدلتے وقت اور بڑھتی ہوئی ضروریات کے مطابق ڈھالا۔ یہ کہانیاں نہ صرف بڑی کمپنیوں کے کامیاب سسٹمز کی گواہی ہیں، بلکہ ہمیں یہ سیکھنے کا موقع بھی دیتی ہیں کہ ہم اپنے پروجیکٹس کو کس طرح بہتر بنا سکتے ہیں، چاہے وہ چھوٹے پیمانے کے ہوں یا بڑے۔ ان سکیلنگ کی کہانیوں میں جھانکنے کا مقصد، دراصل سافٹ ویئر انجینئرنگ کے بہترین اصولوں اور غیر معمولی ڈیزائن کے فیصلوں کا جائزہ لینا ہے

Engineering Leadership in Regulated Environments: A CTO’s HandbookBy Chrysovalantis D. Koutsoumpos In regulated industries, engineering leaders face a unique challenge: how to build systems that move fast without breaking rules, and scale teams without losing clarity or control. This book offers practical guidance drawn from real-world experience — designed for engineering leaders who operate in environments where compliance, trust, and delivery must coexist. Covering 30 focused chapters, it explores topics like team structures, architecture, risk management, audit readiness, product delivery frameworks, and long-term strategy. Each chapter includes actionable insights, tools, and approaches that help bridge the gap between technical leadership and regulatory expectations. Whether you're leading engineering at a fintech, healthcare company, or any compliance-heavy organization, this handbook provides a thoughtful and pragmatic reference to support your growth — and your team’s.

Transform chaos into order with Phoenix Product Codex: a thrilling, real-world journey of building a production-ready REST API for product data management using Elixir and Phoenix, born from the requirements of a family-run business facing a government mandate for electronic invoicing. Learn to craft and deploy a thoughtfully-designed, business-driven solution that already serves as the Single Source of Truth for two companies, while also mastering domain modeling, database design, and more in the process. No toy examples or databases here, but actual software that delivers real impact.