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Brikman Yevgeniy: Fundamentals of Devops
and Software Delivery

Fundamentals of Devops and Software Delivery

A Hands-On Guide to Deploying and Managing Software in Production

Is your frontend slowing down innovation and complicating team collaboration? Consider micro-frontends--a practical way to break development silos and accelerate feature delivery. In this updated second edition, software architects, tech leads, and software developers will learn how to design, build, and deploy independent micro-frontends that compose unique frontend systems. Author Luca Mezzalira, principal serverless specialist solutions architect at AWS, shows you how micro-frontends enable agility within an organization, decentralize decision-making, and optimize for fast flow. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Start transforming your frontend strategy today with proven techniques for speed of delivery, autonomy, and scale. <ul> <li>Accelerate delivery with four foundational pillars for micro-frontend success</li> <li>Apply actionable principles and best practices to empower your teams</li> <li>Navigate the benefits and pitfalls of micro-frontend architectures</li> <li>Integrate micro-frontends seamlessly with microservices and distributed systems</li> <li>Architect client-side and server-side micro-frontend solutions for maximum impact</li> </ul>

Distributed Systems for the Frontend

Building Micro-Frontends

This textbook continues to fill the need for a systems engineering design textbook specifically written for students from a large variety of backgrounds-engineering, human factors, psychology, and physiology fields. These students need to learn about systems engineering, without it being too technical or at too much of a higher conceptual level for them. This new edition continues to give students exposure to the systems and systems engineering concepts they need and offers just enough technical expertise to use and apply what they have learned.Systems Engineering: Design Principles and Models, Second Edition, is completely updated and offers an overview of systems concepts with emphasis on the system life cycle. It provides a comprehensive overview of systems design processes and all activities involved, along with a review of systems analysis and modeling tools and techniques used. The updated textbook includes exercises and examples/case studies to illustrate real-world applications after each chapter. Emphasis is placed on the human element in systems design.This book is specifically written as a textbook for undergraduate, first-year graduate students, and those who have little or no engineering background. It enables them to learn about systems engineering and is a great book for those who will get involved in systems engineering and design and need to work with engineers in various fields, including project managers, human factors engineers, aerospace and aviation professionals, usability engineers, mechanical and electrical engineers, software engineers, and human factors professionals. This book can also be used as an introduction to systems engineering for professionals.PowerPoint slides, along with a solutions manual, are available for all qualified textbook adoptions.

Design Principles and Models, Second Edition

Systems Engineering

Beyond enabling ultra-fast data transmission, 5G and next-generation networks represent a fundamental transformation in how individuals and organizations connect and interact. The success of these future networks is of interest not just to telecom operators but also to a broader ecosystem--including OTT (over-the-top) service providers, cloud platforms, system integrators, and infrastructure companies. This expanding stakeholder landscape calls for a re-evaluation of conventional telecom regulation in favor of a more adaptable and inclusive framework. 5G and Beyond: Rewiring Telecom Regulation critically examines India's current licensing regime through the lenses of functional separation, diagonal equity, and digital neutrality. Prasad and Sridhar express concern over the growing influence of certain OTT players and argue for regulatory reforms that ensure fairness and flexibility across diverse network services. Core regulatory principles--such as interconnection, spectrum management, net neutrality, and universal access--are revisited in the light of evolving technologies and market dynamics. The authors also explore how their proposed licensing and regulatory framework could be applied to telecom markets beyond India's borders.

Rewiring Telecom Regulation

5G and Beyond

AI is transforming software development, shifting programmers from writing code to collaborating with AI in an intent-driven workflow. Vibe coding--a prompt-first, exploratory approach where you describe what you want in natural language and let a large language model fill in the blanks--represents a radical shift in the developer's role from writing code todirecting it. However, vibe coding comes with a serious caveat: Like a high-speed exploratory vehicle, it can take you off the beaten path quickly. Beyond Vibe Coding: From Coder to AI-Era Developer explores how AI-powered coding assistants like GitHub Copilot and OpenAI Codex are reshaping the way we build software, from automating routine coding tasks to influencing architecture and design decisions. Written by Addy Osmani, this guide provides developers, tech leads, and organizations with practical strategies to integrate AI into their workflows effectively. Learn how to formulate clear goals and constraints for the AI, review AI-generated code critically, and integrate those pieces into a coherent whole. Whether you're adopting AI tools today or preparing for the future of software engineering, this book offers insights and hands-on examples to keep your skills sharp in this evolving landscape. <ul> <li>Understand how AI-assisted development is reshaping programming</li> <li>Master techniques for refining, validating, and debugging AI-generated code, and understand how and why LLM generations can go wrong</li> <li>Explore multiagent coding systems and AI-driven software workflows</li> <li>Future-proof your career by adapting to AI's growing role in development</li> </ul>

Leveraging Your Experience in the Age of AI-Assisted Coding

Beyond Vibe Coding

Cilium is now considered the de facto cloud native networking platform for Kubernetes, connecting, securing, and monitoring millions of applications across thousands of clusters. With such versatility and feature-richness, Cilium can be daunting to learn. This comprehensive guide breaks Cilium down, making it broadly accessible to the increasing number of users who'll encounter the platform in their careers. Nico Vibert, Filip Nikolic, and James Laverack, all from Isovalent (creators of eBPF and Cilium), take you through how Cilium works, the problems it can solve, and how to run it in production. If you're an experienced platform engineer or network architect who wants to get on top of the next big thing in cloud networking, this book is for you. <ul> <li>Learn about Kubernetes networking and the role of Cilium</li> <li>Dive into the various use cases Cilium addresses</li> <li>Understand Cilium's architecture and how it moves packets around</li> <li>Secure workloads through the use of network policies</li> <li>Connect multiple clusters for service load balancing and discovery</li> <li>Observe application networking performance for troubleshooting and forensics</li> <li>Leverage Cilium's built-in service mesh and networking capabilities for complex traffic engineering</li> </ul>

Cloud Native Networking, Security, and Observability

Cilium: Up & Running

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

A one-stop-shop for all the math you should have learned for your programming career. Every great programming challenge has mathematical principles at its heart. Whether you’re optimizing search algorithms, building physics engines for games, or training neural networks, success depends on your grasp of core mathematical concepts.&nbsp; In Math for Programming, you’ll master the essential mathematics that will take you from basic coding to serious software development. You’ll discover how vectors and matrices give you the power to handle complex data, how calculus drives optimization and machine learning, and how graph theory leads to advanced search algorithms. Through clear explanations and practical examples, you’ll learn to: <ul><li>Harness linear algebra to manipulate data with unprecedented efficiency</li><li>Apply calculus concepts to optimize algorithms and drive simulations</li><li>Use probability and statistics to model uncertainty and analyze data</li><li>Master the discrete mathematics that powers&nbsp;modern data structures</li><li>Solve dynamic problems through differential equations</li></ul> Whether you’re seeking to fill gaps in your mathematical foundation or looking to refresh your understanding of core concepts, Math for Programming will turn complex math into a practical tool you’ll use every day.

Math for Programming

Take your web development skills from browser to server with Node.js, the popular backend framework used by more than 10 million developers at companies like Amazon, Netflix, and LinkedIn, to name just a few. If you're comfortable working with JavaScript, this practical guide from Samer Buna will show you how to effectively build and maintain even the most complex Node.js applications. Following a hands-on, project-based approach, you'll move from key fundamentals to advanced concepts such as modules, packages, event-driven architecture, streams, child processes, scaling, testing, deployment, and much more--all while focusing on what actually matters in practice. <ul> <li>Understand Node.js's native capabilities in order to best use the powerful libraries and tools in its ecosystem </li><li>Utilize Node.js modules and packages </li><li>Explore Node.js's event-driven architecture, streams, and child processes </li><li>Create, test, and maintain efficient and scalable Node.js applications
</li></ul>

A Beyond the Basics Guide

Efficient Node.Js

Learn to write real Linux software—not just run it. Most programmers never learn how Linux really works. Why? Because system programming is rarely taught, and the tools can be intimidating without the right guidance. As a result, many developers stick to high-level languages and frameworks—writing code that runs on Linux without understanding how it interacts with Linux. In today’s world, that’s not enough to stand out. Especially as more companies turn to AI to write their software, the question becomes: How do you stay relevant in an AI-driven world? You learn how things really work. If you’ve ever wondered how processes are created, how memory and files are managed, or how programs communicate in a Unix environment, System Programming in Linux will make it all make sense. This is a hands-on guide to writing software that interfaces directly with the Linux operating system. You’ll go beyond shell commands and abstractions to understand what the kernel is doing—and how to leverage it through your own code. Rather than telling you how to solve each problem, Professor Stewart N. Weiss guides you through the process of discovering the solution yourself. Start with the core concepts of Unix and Linux, then work your way up to advanced topics like process control, signals, interprocess communication, threading, and non-blocking I/O. Each chapter includes conceptual diagrams, annotated source code, and practical projects to help you immediately apply what you’ve learned. You’ll explore topics such as: <ul><li>The structure of Unix and Linux operating systems—and why it matters</li><li>Using system calls to create and manage processes</li><li>The mechanics of signals, timers, and interprocess communication</li><li>Using synchronization tools to write multithreaded programs</li><li>Interacting with filesystems, devices, and terminals</li><li>Building text-based user interfaces using ncurses</li><li>Developing programs that are robust, efficient, and portable</li></ul> At Hunter College, Professor Weiss built the course this book is based on, and he has helped thousands of students go from confusion to confidence in his over 40 years of teaching programming. His clear, conversational style; technical depth; and focus on real-world application make this one of the most approachable and powerful system programming books available. As Linux continues to dominate development, server, and embedded environments, understanding the system behind your software isn’t just helpful; it’s essential. Whether you’re a student, developer, or sysadmin, this book gives you the tools to work directly with Linux and the insight to understand what’s really happening under the hood.

Learn to write real Linux software—not just run it. Most programmers never learn how Linux really works. Why? Because system programming is rarely taught, and the tools can be intimidating without the right guidance. As a result, many developers stick to high-level languages and frameworks—writing code that runs on Linux without understanding how it interacts with Linux. In today’s world, that’s not enough to stand out. Especially as more companies turn to AI to write their software, the question becomes: How do you stay relevant in an AI-driven world? You learn how things really work. If you’ve ever wondered how processes are created, how memory and files are managed, or how programs communicate in a Unix environment, System Programming in Linux will make it all make sense. This is a hands-on guide to writing software that interfaces directly with the Linux operating system. You’ll go beyond shell commands and abstractions to understand what the kernel is doing—and how to leverage it through your own code. Rather than telling you how to solve each problem, Professor Stewart N. Weiss guides you through the process of discovering the solution yourself. Start with the core concepts of Unix and Linux, then work your way up to advanced topics like process control, signals, interprocess communication, threading, and non-blocking I/O. Each chapter includes conceptual diagrams, annotated source code, and practical projects to help you immediately apply what you’ve learned. You’ll explore topics such as: <ul><li>The structure of Unix and Linux operating systems—and why it matters</li><li>Using system calls to create and manage processes</li><li>The mechanics of signals, timers, and interprocess communication</li><li>Using synchronization tools to write multithreaded programs</li><li>Interacting with filesystems, devices, and terminals</li><li>Building text-based user interfaces using ncurses</li><li>Developing programs that are robust, efficient, and portable</li></ul> At Hunter College, Professor Weiss built the course this book is based on, and he has helped thousands of students go from confusion to confidence in his over 40 years of teaching programming. His clear, conversational style; technical depth; and focus on real-world application make this one of the most approachable and powerful system programming books available. As Linux continues to dominate development, server, and embedded environments, understanding the system behind your software isn’t just helpful; it’s essential. Whether you’re a student, developer, or sysadmin, this book gives you the tools to work directly with Linux and the insight to understand what’s really happening under the hood.

A Hands-On Introduction

System Programming in Linux

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

You've seen what Python can do. Now go deeper. This workbook transforms Al Sweigart’s best-selling guide from a reading experience into a coding experience. Following Automate the Boring Stuff with Python chapter by chapter, this workbook will help you turn concepts into muscle memory through carefully designed exercises, projects, and real Python scripts. Every concept from Automate is reinforced through carefully sequenced questions, exercises, and projects that help you think like a programmer and prove to yourself that you really get it. At the end of each chapter, you’ll tackle miniprojects that bring everything together. Whether you’re renaming files, scraping websites, converting text to speech, modifying spreadsheets, or sending emails, you’ll build scripts that do real work. Fun projects like image generators and word games are in the mix too, not just boring stuff. Every question and project come with a solution at the back of the book, so you’re never stuck. Inside, you’ll find: <ul><li> Fill-in-the-blank and short-answer questions that reinforce key concepts</li><li>Targeted exercises to build fluency with variables, loops, functions, regular expressions, and more</li><li>Real Python scripts to run, tweak, and debug</li><li>Projects that automate common tasks like organizing files, backing up data, and scheduling programs</li><li>Full working code for every project so you can check your work and learn by example</li></ul> With over 500,000 copies sold worldwide, Automate the Boring Stuff with Python has become the go-to guide for learning Python. This workbook gives you the structure, feedback, and smart reinforcement to go from reading code to writing it with confidence.

Projects and Exercises to Sharpen Your Python Skills

Automate the Boring Stuff with Python Workbook

Breakthrough research in a changing world

Transformative applied research

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle. <ul> <li>Confidently manage AI product development with tools, frameworks, strategic insights, and real-world examples from Google, Meta, OpenAI, and more</li> <li>Lead product orgs to solve real problems via agentic AI and GenAI capabilities</li> <li>Gain AI Awareness and technical fluency to work with AI models, LLMs, and the algorithms that power them; get cross-functional alignment; make strategic trade-offs; and set OKRs</li>
</ul>

The Essential Guide to AI and GenAI Product Management

Building AI-Powered Products

The third edition of this trusted guide shows you how to apply test-driven development (TDD) to building real-world web applications with Python. By writing tests before building each part of your app--and then creating just enough code to pass them--you'll learn how TDD leads to clean, reliable, and maintainable software. Author Harry J.W. Percival takes you through a practical, end-to-end example of web development using Python 3.14 and Django 5. Along the way, you'll explore tools like Selenium, JavaScript, Git, and mocking, and discover how TDD supports better design decisions, encourages continuous improvement, and instills confidence in your codebase. Whether you're a professional developer or just transitioning into web development, this book offers hands-on experience with modern testing workflows and architecture. <ul> <li>Follow the full TDD workflow, from writing tests first to refactoring with confidence </li><li>Write unit tests for core logic and functional tests for browser-based interactions </li><li>Use mock objects to isolate external systems and simplify integration </li><li>Package your application using Docker </li><li>Automate deployments and test your code in a staging environment </li><li>Validate third-party plug-ins and dependencies within your test suite </li><li>Set up continuous integration to run your tests automatically </li><li>Enrich your frontend with test-driven JavaScript </li></ul>

Obey the Testing Goat: Using Django, Selenium, and JavaScript

Test-Driven Development with Python

Fundamentals of Devops and Software Delivery

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