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Software Engineering at Google by Titus Winters,Tom Manshreck,Hyrum Wright Pdf
Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. You’ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: How time affects the sustainability of software and how to make your code resilient over time How scale affects the viability of software practices within an engineering organization What trade-offs a typical engineer needs to make when evaluating design and development decisions
Software Engineering at Google by Titus Winters,Tom Manshreck,Hyrum Wright Pdf
The approach to and understanding of software engineering at Google is unlike any other company. With this book, you'll get a candid and insightful look at how software is constructed and maintained by some of the world's leading practitioners. Titus Winters, Tom Manshreck, and Hyrum K. Wright, software engineers and a technical writer at Google, reframe how software engineering is practiced and taught: from an emphasis on programming to an emphasis on software engineering, which roughly translates to programming over time. You'll learn: Fundamental differences between software engineering and programming How an organization effectively manages a living codebase and efficiently responds to inevitable change Why culture (and recognizing it) is important, and how processes, practices, and tools come into play.
Programming, guidelines that instruct a PC. Programming involves the whole arrangement of projects, strategies, and schedules related with the activity of a PC framework. The term was instituted to separate these guidelines from equipment - i.e., the actual parts of a PC framework. A bunch of guidelines that guides a PC's equipment to play out an undertaking is known as a program, or programming program. The two principal sorts of programming are framework programming and application programming. Framework programming controls a PC's inside working, mainly through a working framework, and furthermore controls such peripherals as screens, printers, and capacity gadgets.
Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt. Summary In Good Code, Bad Code you’ll learn how to: Think about code like an effective software engineer Write functions that read like well-structured sentences Ensure code is reliable and bug free Effectively unit test code Identify code that can cause problems and improve it Write code that is reusable and adaptable to new requirements Improve your medium and long-term productivity Save yourself and your team time The difference between good code or bad code often comes down to how you apply the established practices of the software development community. In Good Code, Bad Code you’ll learn how to boost your productivity and effectiveness with code development insights normally only learned through careful mentorship and hundreds of code reviews. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Software development is a team sport. For an application to succeed, your code needs to be robust and easy for others to understand, maintain, and adapt. Whether you’re working on an enterprise team, contributing to an open source project, or bootstrapping a startup, it pays to know the difference between good code and bad code. About the book Good Code, Bad Code is a clear, practical introduction to writing code that’s a snap to read, apply, and remember. With dozens of instantly-useful techniques, you’ll find coding insights that normally take years of experience to master. In this fast-paced guide, Google software engineer Tom Long teaches you a host of rules to apply, along with advice on when to break them! What's inside Write functions that read like sentences Ensure your code stays bug-free How to sniff out bad code Save time for yourself and your team About the reader For coders early in their careers who are familiar with an object-oriented language, such as Java or C#. About the author Tom Long is a software engineer at Google where he works as a tech lead. Among other tasks, he regularly mentors new software engineers in professional coding best practices. Table of Contents PART 1 IN THEORY 1 Code quality 2 Layers of abstraction 3 Other engineers and code contracts 4 Errors PART 2 IN PRACTICE 5 Make code readable 6 Avoid surprises 7 Make code hard to misuse 8 Make code modular 9 Make code reusable and generalizable PART 3 UNIT TESTING 10 Unit testing principles 11 Unit testing practices
Software Engineering - The Soft Parts by Addy Osmani Pdf
In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Becoming a good engineer is about collecting experience. Each project, even small ones, is a chance to add new techniques and tools to your toolbox. Where this delivers even more value is when you can solve problems by pairing techniques learned on one project with tools learned working on another. This short book tries to capture what the "soft skills" are and how they can all add up.
How Google Tests Software by James A. Whittaker,Jason Arbon,Jeff Carollo Pdf
2012 Jolt Award finalist! Pioneering the Future of Software Test Do you need to get it right, too? Then, learn from Google. Legendary testing expert James Whittaker, until recently a Google testing leader, and two top Google experts reveal exactly how Google tests software, offering brand-new best practices you can use even if you’re not quite Google’s size...yet! Breakthrough Techniques You Can Actually Use Discover 100% practical, amazingly scalable techniques for analyzing risk and planning tests...thinking like real users...implementing exploratory, black box, white box, and acceptance testing...getting usable feedback...tracking issues...choosing and creating tools...testing “Docs & Mocks,” interfaces, classes, modules, libraries, binaries, services, and infrastructure...reviewing code and refactoring...using test hooks, presubmit scripts, queues, continuous builds, and more. With these techniques, you can transform testing from a bottleneck into an accelerator–and make your whole organization more productive!
Google Compute Engine by Marc Cohen,Kathryn Hurley,Paul Newson Pdf
Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems. With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies. Access and manage Compute Engine resources with a web UI, command-line interface, or RESTful interface Configure, customize, and work with Linux VM instances Explore storage options: persistent disk, Cloud Storage, Cloud SQL (MySQL in the cloud), or Cloud Datastore NoSQL service Use multiple private networks, and multiple instances on each network Build, deploy, and test a simple but comprehensive cloud computing application step-by-step Use Compute Engine with Docker, Node.js, ZeroMQ, Web Starter Kit, AngularJS, WebSocket, and D3.js
Site Reliability Engineering by Betsy Beyer,Chris Jones,Jennifer Petoff,Niall Richard Murphy Pdf
In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world.
For more than 20 years, this has been the best selling guide to software engineering for students and industry professionals alike. This edition has been completely updated and contains hundreds of new references to software tools.
"Code in the Cloud" will teach users what a cloud service is, and how it differs from traditional applications. It will show readers how to build a cloud service, taking advantage of the services that AppEngine makes available to them.
Programming Google App Engine by Dan Sanderson Pdf
Google App Engine makes it easy to create a web application that can serve millions of people as easily as serving hundreds, with minimal up-front investment. With Programming Google App Engine, Google engineer Dan Sanderson provides practical guidance for designing and developing your application on Google’s vast infrastructure, using App Engine’s scalable services and simple development model. Through clear and concise instructions, you’ll learn how to get the most out of App Engine’s nearly unlimited computing power. This second edition is fully updated and expanded to cover Python 2.7 and Java 6 support, multithreading, asynchronous service APIs, and the use of frameworks such as Django 1.3 and webapp2. Understand how App Engine handles web requests and executes application code Learn about new datastore features for queries and indexes, transactions, and data modeling Create, manipulate, and serve large data files with the Blobstore Use task queues to parallelize and distribute computation across the infrastructure Employ scalable services for email, instant messaging, and communicating with web services Track resource consumption, and optimize your application for speed and cost effectiveness
The Software Engineer's Guidebook by Gergely Orosz Pdf
In my first few years as a developer I assumed that hard work was all I needed. Then I was passed over for a promotion and my manager couldn’t give me feedback on what areas to improve, so I could get to the senior engineer level. I was frustrated; even bitter: not as much about missing the promotion, but because of the lack of guidance. By the time I became a manager, I was determined to support engineers reporting to me with the kind of feedback and support I wish I would have gotten years earlier. And I did. While my team tripled over the next two years, people became visibly better engineers, and this progression was clear from performance reviews and promotions. This book is a summary of the advice I’ve given to software engineers over the years – and then some more. This book follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers. We cover “soft” skills which become increasingly important as your seniority increases, and the “hard” parts of the job, like software engineering concepts and approaches which help you grow professionally. The names of levels and their expectations can – and do! – vary across companies. The higher “tier” a business is, the more tends to be expected of engineers, compared to lower tier places. For example, the “senior engineer” level has notoriously high expectations at. Google (L5 level) and Meta (E5 level,) compared to lower-tier companies. If you work at a higher-tier business, it may be useful to read the chapters about higher levels, and not only the level you’re currently interested in. The book is composed of six standalone parts, each made up of several chapters: Part 1: Developer Career Fundamentals Part 2: The Competent Software Developer Part 3: The Well-Rounded Senior Engineer Part 4: The Pragmatic Tech Lead Part 5: Role Model Staff and Principal Engineers Part 6: Conclusion Parts 1 and 6 apply to all engineering levels, from entry-level software developer, to principal-and-above engineer. Parts 2, 3, 4, and 5 cover increasingly senior engineering levels and group together topics in chapters, such as “Software Engineering,” “Collaboration,” “Getting Things Done,” etc. Naming and levels vary, but the principles of what makes a great engineer who is impactful at the individual, team, and organizational levels, are remarkably constant. No matter where you are in your career, I hope this book provides a fresh perspective and new ideas on how to grow as an engineer. Praise for the book “From performance reviews to P95 latency, from team dynamics to testing, Gergely demystifies all aspects of a software career. This book is well named: it really does feel like the missing guidebook for the whole industry.” – Tanya Reilly, senior principal engineer and author of The Staff Engineer's Path "Spanning a huge range of topics from technical to social in a concise manner, this belongs on the desk of any software engineer looking to grow their impact and their career. You'll reach for it again and again for sage advice in any situation." – James Stanier, Director of Engineering at Shopify, author of TheEngineeringManager.com
Software Architecture for Big Data and the Cloud by Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim Pdf
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
