| datadog software engineer interview: Software Developer Life: Career, Learning, Coding, Daily Life, Stories David Xiang, 2018-05-16 Software Developer Life - Career, Learning, Coding, Daily Life, Stories We've made a dent into the 21st century and software has been eating the world. Suspenseful tech dramas play out in the news, boot camps churn out entry-level developers in a matter of months, and there's even an HBO show dedicated to Silicon Valley. In the midst of these trends lies a severe lack of attention to the daily life of the developer-the day-to-day reality that surrounds each line of code. There are plenty of resources available to help the budding developer learn how to code, but what about everything else? Who Should Read This Book? This book is for anyone interested in getting a sneak peek inside the world of software The new graduates about to jump into their first jobs The veterans who want a dose of nostalgia and a good chuckle The product managers looking to empathize more with their coding counterparts The disgruntled developers contemplating the meaning of life The high school students thinking about jumping on the computer science bandwagon The budding programmers looking to become more effective and gain more leverage at work What's Inside The Book? This book is a highlight reel of content revolving around Software Developer Life. Inside you will find 40 concise chapters covering 5 broad topics: Career Learning Coding Daily Life Stories Everyone has something unique to share. This book gathers together various perspectives and unique stories to give a well-rounded view of modern software development. This is not a technical book. This is everything else. |
| datadog software engineer interview: Technical Debt in Practice Neil Ernst, Rick Kazman, Julien Delange, 2021-08-17 The practical implications of technical debt for the entire software lifecycle; with examples and case studies. Technical debt in software is incurred when developers take shortcuts and make ill-advised technical decisions in the initial phases of a project, only to be confronted with the need for costly and labor-intensive workarounds later. This book offers advice on how to avoid technical debt, how to locate its sources, and how to remove it. It focuses on the practical implications of technical debt for the entire software life cycle, with examples and case studies from companies that range from Boeing to Twitter. Technical debt is normal; it is part of most iterative development processes. But if debt is ignored, over time it may become unmanageably complex, requiring developers to spend all of their effort fixing bugs, with no time to add new features--and after all, new features are what customers really value. The authors explain how to monitor technical debt, how to measure it, and how and when to pay it down. Broadening the conventional definition of technical debt, they cover requirements debt, implementation debt, testing debt, architecture debt, documentation debt, deployment debt, and social debt. They intersperse technical discussions with Voice of the Practitioner sidebars that detail real-world experiences with a variety of technical debt issues. |
| datadog software engineer interview: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? 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. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use |
| datadog software engineer interview: Node.js Design Patterns Mario Casciaro, Luciano Mammino, 2016-07-18 Get the best out of Node.js by mastering its most powerful components and patterns to create modular and scalable applications with ease About This Book Create reusable patterns and modules by leveraging the new features of Node.js . Understand the asynchronous single thread design of node and grasp all its features and patterns to take advantage of various functions. This unique guide will help you get the most out of Node.js and its ecosystem. Who This Book Is For The book is meant for developers and software architects with a basic working knowledge of JavaScript who are interested in acquiring a deeper understanding of how to design and develop enterprise-level Node.js applications. Basic knowledge of Node.js is also helpful to get the most out of this book. What You Will Learn Design and implement a series of server-side JavaScript patterns so you understand why and when to apply them in different use case scenarios Become comfortable with writing asynchronous code by leveraging constructs such as callbacks, promises, generators and the async-await syntax Identify the most important concerns and apply unique tricks to achieve higher scalability and modularity in your Node.js application Untangle your modules by organizing and connecting them coherently Reuse well-known techniques to solve common design and coding issues Explore the latest trends in Universal JavaScript, learn how to write code that runs on both Node.js and the browser and leverage React and its ecosystem to implement universal applications In Detail Node.js is a massively popular software platform that lets you use JavaScript to easily create scalable server-side applications. It allows you to create efficient code, enabling a more sustainable way of writing software made of only one language across the full stack, along with extreme levels of reusability, pragmatism, simplicity, and collaboration. Node.js is revolutionizing the web and the way people and companies create their software. In this book, we will take you on a journey across various ideas and components, and the challenges you would commonly encounter while designing and developing software using the Node.js platform. You will also discover the Node.js way of dealing with design and coding decisions. The book kicks off by exploring the basics of Node.js describing it's asynchronous single-threaded architecture and the main design patterns. It then shows you how to master the asynchronous control flow patterns,and the stream component and it culminates into a detailed list of Node.js implementations of the most common design patterns as well as some specific design patterns that are exclusive to the Node.js world.Lastly, it dives into more advanced concepts such as Universal Javascript, and scalability' and it's meant to conclude the journey by giving the reader all the necessary concepts to be able to build an enterprise grade application using Node.js. Style and approach This book takes its intended readers through a comprehensive explanation to create a scalable and efficient real-time server-side apps. |
| datadog software engineer interview: Frenemies Ken Auletta, 2019-06-04 An intimate and profound reckoning with the changes buffeting the $2 trillion global advertising and marketing business from the perspective of its most powerful players, by the bestselling author of Googled Advertising and marketing touches on every corner of our lives, and the industry is the invisible fuel powering almost all media. Complain about it though we might, without it the world would be a darker place. But of all the industries wracked by change in the digital age, few have been turned on their heads as dramatically as this one. Mad Men are turning into Math Men (and women--though too few), an instinctual art is transforming into a science, and we are a long way from the days of Don Draper. Frenemies is Ken Auletta's reckoning with an industry under existential assault. He enters the rooms of the ad world's most important players, meeting the old guard as well as new powers and power brokers, investigating their perspectives. It's essential reading, not simply because of what it reveals about this world, but because of the potential consequences: the survival of media as we know it depends on the money generated by advertising and marketing--revenue that is in peril in the face of technological changes and the fraying trust between the industry's key players. |
| datadog software engineer interview: DSLs in Action Debasish Ghosh, 2010-11-30 Your success—and sanity—are closer at hand when you work at a higher level of abstraction, allowing your attention to be on the business problem rather than the details of the programming platform. Domain Specific Languages—little languages implemented on top of conventional programming languages—give you a way to do this because they model the domain of your business problem. DSLs in Action introduces the concepts and definitions a developer needs to build high-quality domain specific languages. It provides a solid foundation to the usage as well as implementation aspects of a DSL, focusing on the necessity of applications speaking the language of the domain. After reading this book, a programmer will be able to design APIs that make better domain models. For experienced developers, the book addresses the intricacies of domain language design without the pain of writing parsers by hand. The book discusses DSL usage and implementations in the real world based on a suite of JVM languages like Java, Ruby, Scala, and Groovy. It contains code snippets that implement real world DSL designs and discusses the pros and cons of each implementation. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside Tested, real-world examples How to find the right level of abstraction Using language features to build internal DSLs Designing parser/combinator-based little languages |
| datadog software engineer interview: Software Telemetry Jamie Riedesel, 2021-08-31 Software Telemetry is a guide to operating the telemetry systems that monitor and maintain your applications. It takes a big picture view of telemetry, teaching you to manage your logging, metrics, and events as a complete end-to-end ecosystem. You'll learn the base architecture that underpins any software telemetry system, allowing you to easily integrate new systems into your existing infrastructure, and how these systems work under the hood. Throughout, you'll follow three very different companies to see how telemetry techniques impact a greenfield startup, a large legacy enterprise, and a non-technical organization without any in-house development. You'll even cover how software telemetry is used by court processes--ensuring that when your first telemetry subpoena arrives, there's no reason to panic! |
| datadog software engineer interview: Database Reliability Engineering Laine Campbell, Charity Majors, 2017-10-26 The infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations. Authors Laine Campbell and Charity Majors provide a framework for professionals looking to join the ranks of today’s database reliability engineers (DBRE). You’ll begin by exploring core operational concepts that DBREs need to master. Then you’ll examine a wide range of database persistence options, including how to implement key technologies to provide resilient, scalable, and performant data storage and retrieval. With a firm foundation in database reliability engineering, you’ll be ready to dive into the architecture and operations of any modern database. This book covers: Service-level requirements and risk management Building and evolving an architecture for operational visibility Infrastructure engineering and infrastructure management How to facilitate the release management process Data storage, indexing, and replication Identifying datastore characteristics and best use cases Datastore architectural components and data-driven architectures |
| datadog software engineer interview: Software Craftsmanship Pete McBreen, 2002 This book introduces the author's collection of wisdom under one umbrella: Software Craftmanship. This approach is unique in that it spells out a programmer-centric way to build software. In other words, all the best computers, proven components, and most robust languages mean nothing if the programmer does not understand their craft. |
| datadog software engineer interview: The Minimum You Need to Know about Logic to Work in IT Roland Hughes, 2007 This book is part of aaThe Minimum You Need to Knowaa family of books by Logikal Solutions. As the family expands they will cover an increasing variety of topics. This book is designed to be used as a text book for classes in logic from high school to college level. It should be one of the first courses you have on IT and this should be one of the first books you read when starting in IT. Not only does this book cover flow charting and pseudocode, it teaches the reader to think before they start mapping out the logic to solve a problem. The author of this book is an industry veteran with nearly 20 years in the field. It has been his experience that recent graduates, from any country, are nearly useless at problem solving. If they cannot point, click, and drag, they cannot solve the problem. This book is an attempt to teach them how to solve the problem. An instructoraas guide is available for schools looking to make this book the basis of coursework. |
| datadog software engineer interview: Polished Ruby Programming Jeremy Evans, 2021-07-16 Elevate your Ruby skills to an advanced level by deepening your understanding of the design principles, best practices, and trade-offs involved in implementation approaches to future-proof your Ruby applications Key FeaturesLearn Ruby web application design principles and strategies for databases, security, and testing from a Ruby committer Understand the design principles behind polished Ruby code and trade-offs between implementation approachesUse metaprogramming and DSLs to reduce the amount of code needed without decreasing maintainabilityBook Description Anyone striving to become an expert Ruby programmer needs to be able to write maintainable applications. Polished Ruby Programming will help you get better at designing scalable and robust Ruby programs, so that no matter how big the codebase grows, maintaining it will be a breeze. This book takes you on a journey through implementation approaches for many common programming situations, the trade-offs inherent in each approach, and why you may choose to use different approaches in different situations. You'll start by refreshing Ruby fundamentals, such as correctly using core classes, class and method design, variable usage, error handling, and code formatting. Then you'll move on to higher-level programming principles, such as library design, use of metaprogramming and domain-specific languages, and refactoring. Finally, you'll learn principles specific to web application development, such as how to choose a database and web framework, and how to use advanced security features. By the end of this Ruby programming book, you'll be a well rounded web developer with a deep understanding of Ruby. While most code examples and principles discussed in the book apply to all Ruby versions, some examples and principles are specific to Ruby 3.0, the latest release at the time of publication. What you will learnUse Ruby's core classes and design custom classes effectivelyExplore the principles behind variable usage and method argument choiceImplement advanced error handling approaches such as exponential backoffDesign extensible libraries and plugin systems in RubyUse metaprogramming and DSLs to avoid code redundancyImplement different approaches to testing and understand their trade-offsDiscover design patterns, refactoring, and optimization with RubyExplore database design principles and advanced web app securityWho this book is for This book is for Ruby programmers who are comfortable in coding with Ruby but want to advance their skills by mastering the deeper principles and best practices behind writing maintainable, scalable, optimized, and well-structured Ruby code. This book won't teach you the basics of Ruby – you'll need intermediate knowledge and practical experience before you can dive in. |
| datadog software engineer interview: Programming Collective Intelligence Toby Segaran, 2007-08-16 Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details. -- Dan Russell, Google Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths. -- Tim Wolters, CTO, Collective Intellect |
| datadog software engineer interview: The Human Target (2021-) #3 Tom King, 2021-12-28 Christopher Chance is a man on a deadline and working to solve a crime that might be unsolvable. Despite his better judgment, he’s falling for his lead suspect, and her violent ex-boyfriend isn’t happy about it. Oh, and that ex? He’s a Green Lantern. |
| datadog software engineer interview: Clean Python Sunil Kapil, 2019-05-21 Discover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects. Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to effectively organize your code. You will then dive deep into the new features of the Python language and learn how to effectively utilize them. Next, you will decode key concepts such as asynchronous programming, Python data types, type hinting, and path handling. Learn tips to debug and conduct unit and integration tests in your Python code to ensure your code is ready for production. The final leg of your learning journey equips you with essential tools for version management, managing live code, and intelligent code completion. After reading and using this book, you will be proficient in writing clean Python code and successfully apply these principles to your own Python projects. What You’ll Learn Use the right expressions and statements in your Python code Create and assess Python Dictionary Work with advanced data structures in Python Write better modules, classes, functions, and metaclassesStart writing asynchronous Python immediatelyDiscover new features in Python Who This Book Is For Readers with a basic Python programming knowledge who want to improve their Python programming skills by learning right way to code in Python. |
| datadog software engineer interview: OSGi in Action Karl Pauls, David Savage, Stuart McCulloch, Richard Hall, 2011-04-05 What is OSGi? Simply put, OSGi is a standardized technology that allowsdevelopers to create the highly modular Java applications that are required forenterprise development. OSGi lets you install, start, stop, update, or uninstallcomponents without taking down your entire system. The interest in OSGi basedapplications has exploded since major vendors like Sun, Spring, Oracle,BEA, and IBM have gotten behind the standard. OSGi in Action is a comprehensive guide to OSGi with two primary goals.First, it provides a clear introduction to OSGi concepts with examples that arerelevant both for architects and developers. Then, it explores numerous practicalscenarios and techniques, answering questions like: How much of OSGi doyou actually need? How do you embed OSGi inside other containers? What arethe best practices for moving legacy systems to OSGi? Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. |
| datadog software engineer interview: Comic Agilé Volume One Mikkel Noe-Nygaard, Luxshan Ratnaravi, 2021-08-25 Comic Agilé depicts the magical, depressing, funny and potentially educational moments that occur when agility meets reality. Through the form of short comic strips, Comic Agilé brings to a head the challenges, misunderstandings and ill-intentioned behavior that makes it so difficult to put the agile mindset into practice. Besides its tragicomic storytelling, the agile comic describes how to avoid, manage or improve the illustrated situations, so the readers are left with a burning desire to go back to their context and improve their agile practices. For the sake of humanity. |
| datadog software engineer interview: Optimized C++ Kurt Guntheroth, 2016-04-27 In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively |
| datadog software engineer interview: Chaos Engineering Casey Rosenthal, Nora Jones, 2020-04-06 As more companies move toward microservices and other distributed technologies, the complexity of these systems increases. You can't remove the complexity, but through Chaos Engineering you can discover vulnerabilities and prevent outages before they impact your customers. This practical guide shows engineers how to navigate complex systems while optimizing to meet business goals. Two of the field's prominent figures, Casey Rosenthal and Nora Jones, pioneered the discipline while working together at Netflix. In this book, they expound on the what, how, and why of Chaos Engineering while facilitating a conversation from practitioners across industries. Many chapters are written by contributing authors to widen the perspective across verticals within (and beyond) the software industry. Learn how Chaos Engineering enables your organization to navigate complexity Explore a methodology to avoid failures within your application, network, and infrastructure Move from theory to practice through real-world stories from industry experts at Google, Microsoft, Slack, and LinkedIn, among others Establish a framework for thinking about complexity within software systems Design a Chaos Engineering program around game days and move toward highly targeted, automated experiments Learn how to design continuous collaborative chaos experiments |
| datadog software engineer interview: Serious Python Julien Danjou, 2018-12-31 An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience. Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You'll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time. As you make your way through the book's extensive tutorials, you'll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You'll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You'll also learn how to: - Make and use effective decorators and methods, including abstract, static, and class methods - Employ Python for functional programming using generators, pure functions, and functional functions - Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs - Apply dynamic performance analysis to identify bottlenecks in your code - Work with relational databases and effectively manage and stream data with PostgreSQL If you've been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python! |
| datadog software engineer interview: Node.js Design Patterns Mario Casciaro, Luciano Mammino, 2020-07-29 Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn how to create solid server-side applications by leveraging the full power of Node.js Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem Avoid common mistakes and use proven patterns to create production grade Node.js applications Book DescriptionIn this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease. We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications. Throughout the book, you’ll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions.What you will learn Become comfortable with writing asynchronous code by leveraging callbacks, promises, and the async/await syntax Leverage Node.js streams to create data-driven asynchronous processing pipelines Implement well-known software design patterns to create production grade applications Share code between Node.js and the browser and take advantage of full-stack JavaScript Build and scale microservices and distributed systems powered by Node.js Use Node.js in conjunction with other powerful technologies such as Redis, RabbitMQ, ZeroMQ, and LevelDB Who this book is for This book is for developers and software architects who have some prior basic knowledge of JavaScript and Node.js and now want to get the most out of these technologies in terms of productivity, design quality, and scalability. Software professionals with intermediate experience in Node.js and JavaScript will also find valuable the more advanced patterns and techniques presented in this book. This book assumes that you have an intermediate understanding of web application development, databases, and software design principles. |
| datadog software engineer interview: Semantic Software Design Eben Hewitt, 2019-09-25 With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together |
| datadog software engineer interview: Writing Secure Code Michael Howard, David LeBlanc, 2003 Howard and LeBlanc (both are security experts with Microsoft) discuss the need for security and outline its general principles before outlining secure coding techniques. Testing, installation, documentation, and error messages are also covered. Appendices discuss dangerous APIs, dismiss pathetic excuses, and provide security checklists. The book explains how systems can be attacked, uses anecdotes to illustrate common mistakes, and offers advice on making systems secure. Annotation copyrighted by Book News, Inc., Portland, OR. |
| datadog software engineer interview: Essential Node.js Security Liran Tal, 2017-01-21 Hands-on and abundant with source code for a practical guide to Securing Node.js web applications. This book is intended to be a hands-on thorough guide for securing web applications based on Node.js and the ExpressJS web application framework. Many of the concepts, tools and practices in this book are primarily based on open source libraries and the author leverages these projects and highlights them. The main objective of the book is to equip the reader with practical solutions to real world problems, and so this book is heavily saturated with source code examples as well as a high level description of the risks involved with any security topic, and the practical solution to prevent or mitigate it. |
| datadog software engineer interview: Designing Products People Love Scott Hurff, 2015-12-17 How can you create products that successfully find customers? With this practical book, you’ll learn from some of the best product designers in the field, from companies like Facebook and LinkedIn to up-and-coming contenders. You’ll understand how to discover and interpret customer pain, and learn how to use this research to guide your team through each step of product creation. Written for designers, product managers, and others who want to communicate better with designers, this book is essential reading for anyone who contributes to the product creation process. Understand exactly who your customers are, what they want, and how to build products that make them happy Learn frameworks and principles that successful product designers use Incorporate five states into every screen of your interface to improve conversions and reduce perceived loading times Discover meeting techniques that Apple, Amazon, and LinkedIn use to help teams solve the right problems and make decisions faster Design effective interfaces across different form factors by understanding how people hold devices and complete tasks Learn how successful designers create working prototypes that capture essential customer feedback Create habit-forming and emotionally engaging experiences, using the latest psychological research |
| datadog software engineer interview: Cracking the Coding Interview Gayle Laakmann McDowell, 2011 Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This book provides: 150 Programming Interview Questions and Solutions: From binary trees to binary search, this list of 150 questions includes the most common and most useful questions in data structures, algorithms, and knowledge based questions. 5 Algorithm Approaches: Stop being blind-sided by tough algorithm questions, and learn these five approaches to tackle the trickiest problems. Behind the Scenes of the interview processes at Google, Amazon, Microsoft, Facebook, Yahoo, and Apple: Learn what really goes on during your interview day and how decisions get made. Ten Mistakes Candidates Make -- And How to Avoid Them: Don't lose your dream job by making these common mistakes. Learn what many candidates do wrong, and how to avoid these issues. Steps to Prepare for Behavioral and Technical Questions: Stop meandering through an endless set of questions, while missing some of the most important preparation techniques. Follow these steps to more thoroughly prepare in less time. |
| datadog software engineer interview: An Elegant Puzzle Will Larson, 2019-05-20 A human-centric guide to solving complex problems in engineering management, from sizing teams to handling technical debt. There’s a saying that people don’t leave companies, they leave managers. Management is a key part of any organization, yet the discipline is often self-taught and unstructured. Getting to the good solutions for complex management challenges can make the difference between fulfillment and frustration for teams—and, ultimately, between the success and failure of companies. Will Larson’s An Elegant Puzzle focuses on the particular challenges of engineering management—from sizing teams to handling technical debt to performing succession planning—and provides a path to the good solutions. Drawing from his experience at Digg, Uber, and Stripe, Larson has developed a thoughtful approach to engineering management for leaders of all levels at companies of all sizes. An Elegant Puzzle balances structured principles and human-centric thinking to help any leader create more effective and rewarding organizations for engineers to thrive in. |
| datadog software engineer interview: Cloud Native DevOps with Kubernetes John Arundel, Justin Domingus, 2019-03-08 Kubernetes is the operating system of the cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts John Arundel and Justin Domingus show you what Kubernetes can do—and what you can do with it. You’ll learn all about the Kubernetes ecosystem, and use battle-tested solutions to everyday problems. You’ll build, step by step, an example cloud native application and its supporting infrastructure, along with a development environment and continuous deployment pipeline that you can use for your own applications. Understand containers and Kubernetes from first principles; no experience necessary Run your own clusters or choose a managed Kubernetes service from Amazon, Google, and others Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for security, observability, and monitoring Adopt DevOps principles to help make your development teams lean, fast, and effective |
| datadog software engineer interview: The DevOps Handbook Gene Kim, Jez Humble, Patrick Debois, John Willis, 2016-10-06 Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices. More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud. And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day. Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace. |
| datadog software engineer interview: The Art of Monitoring James Turnbull, 2014-12 A hands-on and introductory guide to the art of modern application and infrastructure monitoring and metrics. We start small and then build on what you learn to scale out to multi-site, multi-tier applications. The book is written for both developers and sysadmins. We focus on building monitored and measurable applications. We also use tools that are designed to handle the challenges of managing Cloud, containerised and distributed applications and infrastructure. In the book we'll deliver: * An introduction to monitoring, metrics and measurement. * A scalable framework for monitoring hosts (including Docker and containers), services and applications built on top of the Riemann event stream processor. * Graphing and metric storage using Graphite and Grafana. * Logging with Logstash. * A framework for high quality and useful notifications * Techniques for developing and building monitorable applications * A capstone that puts all the pieces together to monitor a multi-tier application. |
| datadog software engineer interview: Rework Jason Fried, David Heinemeier Hansson, 2010-03-09 Rework shows you a better, faster, easier way to succeed in business. Most business books give you the same old advice: Write a business plan, study the competition, seek investors, yadda yadda. If you're looking for a book like that, put this one back on the shelf. Read it and you'll know why plans are actually harmful, why you don't need outside investors, and why you're better off ignoring the competition. The truth is, you need less than you think. You don't need to be a workaholic. You don't need to staff up. You don't need to waste time on paperwork or meetings. You don't even need an office. Those are all just excuses. What you really need to do is stop talking and start working. This book shows you the way. You'll learn how to be more productive, how to get exposure without breaking the bank, and tons more counterintuitive ideas that will inspire and provoke you. With its straightforward language and easy-is-better approach, Rework is the perfect playbook for anyone who’s ever dreamed of doing it on their own. Hardcore entrepreneurs, small-business owners, people stuck in day jobs they hate, victims of downsizing, and artists who don’t want to starve anymore will all find valuable guidance in these pages. |
| datadog software engineer interview: Extreme Programming Refactored Don Rosenberg, Matt Stephens, 2008-01-01 Stephens and Rosenberg examine XP in the context of existing methodologies and processes such as RUP, ICONIX, Spiral, RAD, DSDM, etc – and show how XP goals can be achieved using these existing processes. |
| datadog software engineer interview: Understanding Distributed Systems, Second Edition Roberto Vitillo, 2022-02-23 Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You can find academic papers, engineering blogs, and even books on the subject. The problem is that the available information is spread out all over the place, and if you were to put it on a spectrum from theory to practice, you would find a lot of material at the two ends but not much in the middle. That is why I decided to write a book that brings together the core theoretical and practical concepts of distributed systems so that you don't have to spend hours connecting the dots. This book will guide you through the fundamentals of large-scale distributed systems, with just enough details and external references to dive deeper. This is the guide I wished existed when I first started out, based on my experience building large distributed systems that scale to millions of requests per second and billions of devices. If you are a developer working on the backend of web or mobile applications (or would like to be!), this book is for you. When building distributed applications, you need to be familiar with the network stack, data consistency models, scalability and reliability patterns, observability best practices, and much more. Although you can build applications without knowing much of that, you will end up spending hours debugging and re-architecting them, learning hard lessons that you could have acquired in a much faster and less painful way. However, if you have several years of experience designing and building highly available and fault-tolerant applications that scale to millions of users, this book might not be for you. As an expert, you are likely looking for depth rather than breadth, and this book focuses more on the latter since it would be impossible to cover the field otherwise. The second edition is a complete rewrite of the previous edition. Every page of the first edition has been reviewed and where appropriate reworked, with new topics covered for the first time. |
| datadog software engineer interview: Building a Data Integration Team Jarrett Goldfedder, 2020-02-27 Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both one-time migration and daily integration systems. The growth of data is exploding. With multiple sources of information constantly arriving across enterprise systems, combining these systems into a single, cohesive, and documentable unit has become more important than ever. But the approach toward integration is much different than in other software disciplines, requiring the ability to code, collaborate, and disentangle complex business rules into a scalable model. Data migrations and integrations can be complicated. In many cases, project teams save the actual migration for the last weekend of the project, and any issues can lead to missed deadlines or, at worst, corrupted data that needs to be reconciled post-deployment. This book details how to plan strategically to avoid these last-minute risks as well as how to build the right solutions for future integration projects. What You Will Learn Understand the “language” of integrations and how they relate in terms of priority and ownershipCreate valuable documents that lead your team from discovery to deploymentResearch the most important integration tools in the market todayMonitor your error logs and see how the output increases the cycle of continuous improvementMarket across the enterprise to provide valuable integration solutions Who This Book Is For The executive and integration team leaders who are building the corresponding practice. It is also for integration architects, developers, and business analysts who need additional familiarity with ETL tools, integration processes, and associated project deliverables. |
| datadog software engineer interview: Cloud Native Infrastructure with Azure Nishant Singh, Michael Kehoe, 2022-02-09 The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. This book helps you explore: Why go cloud native? How to use infrastructure as code What it takes to containerize an application Why and how Kubernetes is the grand orchestrator How to create a Kubernetes cluster on Azure How observability complements monitoring How to use service discovery and a service mesh to find new territories How networking and policy management serve as gatekeepers How distributed databases and storage work |
| datadog software engineer interview: Spring Microservices Rajesh RV, 2016-06-28 Build scalable microservices with Spring, Docker, and Mesos About This Book Learn how to efficiently build and implement microservices in Spring, and how to use Docker and Mesos to push the boundaries of what you thought possible Examine a number of real-world use cases and hands-on code examples. Distribute your microservices in a completely new way Who This Book Is For If you are a Spring developers and want to build cloud-ready, internet-scale applications to meet modern business demands, then this book is for you Developers will understand how to build simple Restful services and organically grow them to truly enterprise grade microservices ecosystems. What You Will Learn Get to know the microservices development lifecycle process See how to implement microservices governance Familiarize yourself with the microservices architecture and its benefits Use Spring Boot to develop microservices Find out how to avoid common pitfalls when developing microservices Be introduced to end-to-end microservices written in Spring Framework and Spring Boot In Detail The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. We would start off with the guidelines to implement responsive microservices at scale. We will then deep dive into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon. Next you will understand how Spring Boot is used to deploy autonomous services, server-less by removing the need to have a heavy-weight application server. Later you will learn how to go further by deploying your microservices to Docker and manage it with Mesos. By the end of the book, you'll will gain more clarity on how to implement microservices using Spring Framework and use them in Internet-scale deployments through real-world examples. Style and approach The book follows a step by step approach on how to develop microservices using Spring Framework, Spring Boot, and a set of Spring Cloud components that will help you scale your applications. |
| datadog software engineer interview: Terraform: Up & Running Yevgeniy Brikman, 2019-09-06 Terraform has become a key player in the DevOps world for defining, launching, and managing infrastructure as code (IaC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, Azure, and more. This hands-on second edition, expanded and thoroughly updated for Terraform version 0.12 and beyond, shows you the fastest way to get up and running. Gruntwork cofounder Yevgeniy (Jim) Brikman walks you through code examples that demonstrate Terraform’s simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers. Explore changes from Terraform 0.9 through 0.12, including backends, workspaces, and first-class expressions Learn how to write production-grade Terraform modules Dive into manual and automated testing for Terraform code Compare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt Stack Deploy server clusters, load balancers, and databases Use Terraform to manage the state of your infrastructure Create reusable infrastructure with Terraform modules Use advanced Terraform syntax to achieve zero-downtime deployment |
| datadog software engineer interview: Kafka: The Definitive Guide Neha Narkhede, Gwen Shapira, Todd Palino, 2017-08-31 Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems |
| datadog software engineer interview: Rebooting AI Gary Marcus, Ernest Davis, 2019-09-10 Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better. |
| datadog software engineer interview: Ask Your Developer Jeff Lawson, 2021-01-12 Jeff Lawson, developer turned CEO of Twilio (one of Bloomberg Businessweek's Top 50 Companies to Watch in 2021), creates a new playbook for unleashing the full potential of software developers in any organization, showing how to help management utilize this coveted and valuable workforce to enable growth, solve a wide range of business problems, and drive digital transformation. From banking and retail to insurance and finance, every industry is turning digital, and every company needs the best software to win the hearts and minds of customers. The landscape has shifted from the classic build vs. buy question, to one of build vs. die. Companies have to get this right to survive. But how do they make this transition? Software developers are sought after, highly paid, and desperately needed to compete in the modern, digital economy. Yet most companies treat them like digital factory workers without really understanding how to unleash their full potential. Lawson argues that developers are the creative workforce who can solve major business problems and create hit products for customers—not just grind through rote tasks. From Google and Amazon, to one-person online software companies—companies that bring software developers in as partners are winning. Lawson shows how leaders who build industry changing software products consistently do three things well. First, they understand why software developers matter more than ever. Second, they understand developers and know how to motivate them. And third, they invest in their developers' success. As a software developer and public company CEO, Lawson uses his unique position to bridge the language and tools executives use with the unique culture of high performing, creative software developers. Ask Your Developer is a toolkit to help business leaders, product managers, technical leaders, software developers, and executives achieve their common goal—building great digital products and experiences. How to compete in the digital economy? In short: Ask Your Developer. |
| datadog software engineer interview: Ahead in the Cloud Stephen Orban, 2018-03-27 Cloud computing is the most significant technology development of our lifetimes. It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones's journey toward digital agility as their CIO and now leads AWS's Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn't, and how enterprises can transform themselves using the cloud. |
Cloud Monitoring as a Service | Datadog
See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.
Datadog - Wikipedia
Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS …
Getting Started - Datadog Infrastructure and Application ...
Datadog is an observability platform that supports every phase of software development on any stack. The platform consists of many products that help you build, test, monitor, debug, …
What is Datadog? | Definition from TechTarget
Oct 4, 2021 · Datadog is a monitoring and analytics tool for information technology (IT) and DevOps teams that can be used to determine performance metrics as well as Event …
The Datadog Learning Center
Learn by coding on real cloud compute instances on our free interactive platform. Confidently monitor, scale, and secure your applications whether you're a beginner or an experienced …
What 22 Analyst Ratings Have To Say About Datadog
5 days ago · Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, allows a client to monitor and …
Join Our Pack | Datadog Careers
Our 6,500+ employees help organizations across the globe enable digital transformation and drive collaboration across their teams. Datadogs solve tough problems, innovate pragmatically, and …
Infrastructure & Application Monitoring as a Service - Datadog
Monitor infrastructure metrics, distributed traces, logs, and more in one unified platform with Datadog.
What is Datadog? A Complete Guide to effective Infrastructure ...
Sep 2, 2024 · Datadog is a SaaS (Software as a Service) solution that enables real-time monitoring of various IT infrastructure components. It provides metrics, logs, and request …
Datadog Docs
Welcome to Datadog Docs! 1. Collect events and metrics from your hosts that send data to Datadog. 2. Gather metrics, traces, and logs with over 850 built-in integrations to send to …
Cloud Monitoring as a Service | Datadog
See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.
Datadog - Wikipedia
Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS …
Getting Started - Datadog Infrastructure and Application ...
Datadog is an observability platform that supports every phase of software development on any stack. The platform consists of many products that help you build, test, monitor, debug, …
What is Datadog? | Definition from TechTarget
Oct 4, 2021 · Datadog is a monitoring and analytics tool for information technology (IT) and DevOps teams that can be used to determine performance metrics as well as Event …
The Datadog Learning Center
Learn by coding on real cloud compute instances on our free interactive platform. Confidently monitor, scale, and secure your applications whether you're a beginner or an experienced …
What 22 Analyst Ratings Have To Say About Datadog
5 days ago · Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, allows a client to monitor and …
Join Our Pack | Datadog Careers
Our 6,500+ employees help organizations across the globe enable digital transformation and drive collaboration across their teams. Datadogs solve tough problems, innovate pragmatically, and …
Infrastructure & Application Monitoring as a Service - Datadog
Monitor infrastructure metrics, distributed traces, logs, and more in one unified platform with Datadog.
What is Datadog? A Complete Guide to effective Infrastructure ...
Sep 2, 2024 · Datadog is a SaaS (Software as a Service) solution that enables real-time monitoring of various IT infrastructure components. It provides metrics, logs, and request …
Datadog Docs
Welcome to Datadog Docs! 1. Collect events and metrics from your hosts that send data to Datadog. 2. Gather metrics, traces, and logs with over 850 built-in integrations to send to …
