Publisher's note: products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Design and build scalable web applications quicklyThis is an invaluable roadmap for meeting the rapid demand to deliver scalable applications in a startup environment.
Web Scalability for Startup Engineers #ad - Helpful diagrams are included throughout, and real-world examples illustrate the concepts presented. Even if you have limited time and resources, you can successfully develop and deliver robust, scalable web applications with help from this practical guide. With a focus on core concepts and best practices rather than on individual languages, or technologies, platforms, Web Scalability for Startup Engineers describes how infrastructure and software architecture work together to support a scalable environment.
You’ll learn, step by step, how scalable systems work and how to solve common challenges.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable SystemsO'Reilly Media #ad - With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, scalability, and learn from their architectures .
What are the right choices for your application? how do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems #ad - In addition, stream or batch processors, including relational databases, NoSQL datastores, we have an overwhelming variety of tools, and message brokers. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. Data is at the center of many challenges in system design today.
Building Microservices: Designing Fine-Grained SystemsO'Reilly Media #ad - But developing these systems brings its own set of headaches. With lots of examples and practical advice, managing, this book takes a holistic view of the topics that system architects and administrators must consider when building, and evolving microservice architectures. Microservice technologies are moving quickly.
Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. Author sam newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, deploying, testing, integrating, and monitoring your own autonomous services.
Building Microservices: Designing Fine-Grained Systems #ad - You’ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain. Discover how microservices allow you to align your system design with your organization’s goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures O reilly Media.
Streaming Systems: The What, Where, When, and How of Large-Scale Data ProcessingO'Reilly Media #ad - Streaming data is a big deal in big data these days. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from tyler akidau’s popular blog posts "streaming 101" and "Streaming 102", where, when, this book takes you from an introductory level to a nuanced understanding of the what, and how of processing real-time data streams.
. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore:how streaming and batch data processing patterns comparethe core principles and concepts behind robust out-of-order data processingHow watermarks track progress and completeness in infinite datasetsHow exactly-once data processing techniques ensure correctnessHow the concepts of streams and tables form the foundations of both batch and streaming data processingThe practical motivations behind a powerful persistent state mechanism, driven by a real-world exampleHow time-varying relations provide a link between stream processing and the world of SQL and relational algebra O reilly Media.
Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing #ad - As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption.
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable ServicesO'Reilly Media #ad - Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient.
Author brendan burns—director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed.
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services #ad - Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systemsUse the side-car, and ambassador patterns to split your application into a group of containers on a single machineExplore loosely coupled multi-node distributed patterns for replication, scaling, event-based processing, and communication between the componentsLearn distributed system patterns for large-scale batch data processing covering work-queues, adapter, and coordinated workflows O reilly Media.
Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin SeriesPrentice Hall #ad - Martin “uncle bob” by applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Martin’s clean Architecture doesn’t merely present options. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C.
Learn what software architects need to achieve–and core disciplines and practices for achieving it master essential software design principles for addressing function, and how to prevent or fix these failures Clean Architecture is essential reading for every current or aspiring software architect, and embedded applications Define appropriate boundaries and layers, high-level structures for web, and data management See how programming paradigms impose discipline by restricting what developers can do Understand what’s critically important and what’s merely a “detail” Implement optimal, systems analyst, thick-client, and organize components and services See why designs and architectures go wrong, component separation, system designer, console, database, and software manager–and for every programmer who must execute someone else’s designs.
Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin Series #ad - Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. Practical software Architecture Solutions from the Legendary Robert C. Martin “uncle bob” reveals those rules and helps you apply them.
Register your book for convenient access to downloads, updates, and/or corrections as they become available. O reilly Media.
Algorithms Illuminated Part 2: Graph Algorithms and Data Structures Volume 2Soundlikeyourself Publishing, LLC #ad - Algorithms Illuminated Part 2: Graph Algorithms and Data Structures Volume 2 #ad - Part 1 is not a prerequisite. O reilly Media. Part 2 covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, hash tables, search trees, and bloom filters. Accessible, no-nonsense, and programming language-agnostic introduction to algorithms.
Includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book.
Daily Coding Problem: Get exceptionally good at coding interviews by solving one problem every dayIndependently published #ad - You’ll learn about: • linked lists • arrays • heaps • trees • graphs • randomized Algorithms • Backtracking • Dynamic Programming • Stacks and Queues • Bit Manipulation • System Design O reilly Media. Daily coding problem contains a wide variety of questions inspired by real programming interviews, with in-depth solutions that clearly take you through each core concept.
Algorithms Illuminated Part 3: Greedy Algorithms and Dynamic ProgrammingSoundlikeyourself Publishing, LLC #ad - Algorithms Illuminated Part 3: Greedy Algorithms and Dynamic Programming #ad - Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. O reilly Media. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 3 covers greedy algorithms scheduling, minimum spanning trees, sequence alignment, clustering, Huffman codes and dynamic programming knapsack, shortest paths, optimal search trees.
The Pragmatic Programmer: your journey to mastery, 20th Anniversary Edition 2nd EditionAddison-Wesley Professional #ad - Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. You’ll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. These lessons have helped a generation of programmers examine the very essence of software development, and audio books, independent of any particular language, framework, and the Pragmatic philosophy has spawned hundreds of books, screencasts, or methodology, as well as thousands of careers and success stories.
Whether you’re new to the field or an experienced practitioner, you’ll come away with fresh insights each and every time. Now, twenty years later, this new edition re-examines what it means to be a modern programmer. Lightning does strike twice, and this book is proof. Vm vicky brasseur, re-read, juniper networks the pragmatic Programmer is one of those rare tech books you’ll read, Director of Open Source Strategy, and read again over the years.
The Pragmatic Programmer: your journey to mastery, 20th Anniversary Edition 2nd Edition #ad - This new edition could do the same for yours. Mike cohn, author of succeeding with Agile, Agile Estimating and Planning, and User Stories Applied “. You’ll become a Pragmatic Programmer. See inside book for details.
Elements of Programming Interviews in Java: The Insiders' GuideCreateSpace Independent Publishing Platform #ad - The core of epi is a collection of over 250 problems with detailed solutions. Each chapter stars with a brief introduction, top tips, a case study, and a review of the most important library methods. This is the Java version of our book. Jeff atwood/co-founder, Stack Overflow and Discourse O reilly Media. The problems are representative of interview questions asked at leading software companies.
A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions. Coding problems are presented through a series of chapters on basic and advanced data structures, algorithm design principles, sorting, searching, and concurrency. Specifically, the font size is larger, and the page size is 7"x10" the regular format uses 6"x9".
Elements of Programming Interviews in Java: The Insiders' Guide #ad - This is a larger-format version of Elements of Programming Interviews in Java. This is followed by a broad and thought-provoking set of problems. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants. The book begins with a summary of the nontechnical aspects of interviewing, common mistakes, such as strategies for a great interview, tips on negotiating the best offer, perspectives from the other side of the table, and a guide to the best ways to use EPI.
See our website for links to the C++ version. Epi is your comprehensive guide to interviewing for software development roles.