This ebook is the first authorized digital version of Kernighan and Ritchie?s 1988 classic, The C Programming Language (2nd Ed.). One of the best-selling programming books published in the last fifty years, "K&R" has been called everything from the "bible" to "a landmark in computer science" and it has influenced generations of programmers. Available now for all leading ebook platforms, this concise and beautifully written text is a "must-have" reference for every serious programmer?s digital library. As modestly described by the authors in the Preface to the First Edition, this "is not an introductory programming manual; it assumes some familiarity with basic programming concepts like variables, assignment statements, loops, and functions. Nonetheless, a novice programmer should be able to read along and pick up the language, although access to a more knowledgeable colleague will help."
Use BPF Tools to Optimize Performance, Fix Problems, and See Inside Running Systems BPF-based performance tools give you unprecedented visibility into systems and applications, so you can optimize performance, troubleshoot code, strengthen security, and reduce costs. BPF Performance Tools: Linux System and Application Observability is the definitive guide to using these tools for observability. Pioneering BPF expert Brendan Gregg presents more than 150 ready-to-run analysis and debugging tools, expert guidance on applying them, and step-by-step tutorials on developing your own. You?ll learn how to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the kernel. Gregg guides you from basic to advanced tools, helping you generate deeper, more useful technical insights for improving virtually any Linux system or application. ? Learn essential tracing concepts and both core BPF front-ends: BCC and bpftrace ? Master 150+ powerful BPF tools, including dozens created just for this book, and available for download ? Discover practical strategies, tips, and tricks for more effective analysis ? Analyze compiled, JIT-compiled, and interpreted code in multiple languages: C, Java, bash shell, and more ? Generate metrics, stack traces, and custom latency histograms ? Use complementary tools when they offer quick, easy wins ? Explore advanced tools built on BPF: PCP and Grafana for remote monitoring, eBPF Exporter, and kubectl-trace for tracing Kubernetes ? Foreword by Alexei Starovoitov, creator of the new BPF BPF Performance Tools will be an indispensable resource for all administrators, developers, support staff, and other IT professionals working with any recent Linux distribution in any enterprise or cloud environment.
Systems Performance, Second Edition, covers concepts, strategy, tools, and tuning for operating systems and applications, using Linux-based operating systems as the primary example. A deep understanding of these tools and techniques is critical for developers today. Implementing the strategies described in this thoroughly revised and updated edition can lead to a better end-user experience and lower costs, especially for cloud computing environments that charge by the OS instance. Systems performance expert and best-selling author Brendan Gregg summarizes relevant operating system, hardware, and application theory to quickly get professionals up to speed even if they have never analyzed performance before. Gregg then provides in-depth explanations of the latest tools and techniques, including extended BPF, and shows how to get the most out of cloud, web, and large-scale enterprise systems. Key topics covered include Hardware, kernel, and application internals, and how they perform Methodologies for rapid performance analysis of complex systems Optimizing CPU, memory, file system, disk, and networking usage Sophisticated profiling and tracing with perf, Ftrace, and BPF (BCC and bpftrace) Performance challenges associated with cloud computing hypervisors Benchmarking more effectively Featuring up-to-date coverage of Linux operating systems and environments, Systems Performance, Second Edition, also addresses issues that apply to any computer system. The book will be a go-to reference for many years to come and, like the first edition, required reading at leading tech companies. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
The Definitive Guide to Java Platform Best Practices?Updated for Java 7, 8, and 9 Java has changed dramatically since the previous edition of Effective Java was published shortly after the release of Java 6. This Jolt award-winning classic has now been thoroughly updated to take full advantage of the latest language and library features. The support in modern Java for multiple paradigms increases the need for specific best-practices advice, and this book delivers. As in previous editions, each chapter of Effective Java, Third Edition, consists of several ?items,? each presented in the form of a short, stand-alone essay that provides specific advice, insight into Java platform subtleties, and updated code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why. The third edition covers language and library features added in Java 7, 8, and 9, including the functional programming constructs that were added to its object-oriented roots. Many new items have been added, including a chapter devoted to lambdas and streams. New coverage includes Functional interfaces, lambda expressions, method references, and streams Default and static methods in interfaces Type inference, including the diamond operator for generic types The @SafeVarargs annotation The try-with-resources statement New library features such as the Optional interface, java.time, and the convenience factory methods for collections
SummaryManning's bestselling Java 8 book has been revised for Java 9! In Modern Java in Action, you'll build on your existing Java language skills with the newest features and techniques.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyModern applications take advantage of innovative designs, including microservices, reactive architectures, and streaming data. Modern Java features like lambdas, streams, and the long-awaited Java Module System make implementing these designs significantly easier. It's time to upgrade your skills and meet these challenges head on!About the BookModern Java in Action connects new features of the Java language with their practical applications. Using crystal-clear examples and careful attention to detail, this book respects your time. It will help you expand your existing knowledge of core Java as you master modern additions like the Streams API and the Java Module System, explore new approaches to concurrency, and learn how functional concepts can help you write code that's easier to read and maintain. What's insideThoroughly revised edition of Manning's bestselling Java 8 in ActionNew features in Java 8, Java 9, and beyondStreaming data and reactive programmingThe Java Module SystemAbout the ReaderWritten for developers familiar with core Java features.About the AuthorRaoul-Gabriel Urma is CEO of Cambridge Spark. Mario Fusco is a senior software engineer at Red Hat. Alan Mycroft is a University of Cambridge computer science professor; he cofounded the Raspberry Pi Foundation.Table of ContentsPART 1 - FUNDAMENTALS Java 8, 9, 10, and 11: what's happening? Passing code with behavior parameterization Lambda expressions PART 2 - FUNCTIONAL-STYLE DATA PROCESSING WITH STREAMS Introducing streams Working with streams Collecting data with streams Parallel data processing and performance PART 3 - EFFECTIVE PROGRAMMING WITH STREAMS AND LAMBDASCollection API enhancements Refactoring, testing, and debugging Domain-specific languages using lambdasPART 4 - EVERYDAY JAVA Using Optional as a better alternative to null New Date and Time API Default methods The Java Module System PART 5 - ENHANCED JAVA CONCURRENCY Concepts behind CompletableFuture and reactive programming CompletableFuture: composable asynchronous programming Reactive programming PART 6 - FUNCTIONAL PROGRAMMING AND FUTURE JAVA EVOLUTIONThinking functionally Functional programming techniques Blending OOP and FP: Comparing Java and Scala Conclusions and where next for Java
SummaryFunctional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyFunctional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. About the BookFunctional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to their everyday work. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.This book assumes no prior experience with functional programming. Some prior exposure to Scala or Java is helpful. What's InsideFunctional programming conceptsThe whys and hows of FPHow to write multicore programsExercises and checks for understandingAbout the AuthorsPaul Chiusano and Rúnar Bjarnason are recognized experts in functional programming with Scala and are core contributors to the Scalaz library.Table of ContentsPART 1 INTRODUCTION TO FUNCTIONAL PROGRAMMINGWhat is functional programming? Getting started with functional programming in ScalaFunctional data structuresHandling errors without exceptionsStrictness and lazinessPurely functional state PART 2 FUNCTIONAL DESIGN AND COMBINATOR LIBRARIESPurely functional parallelismProperty-based testingParser combinatorsPART 3 COMMON STRUCTURES IN FUNCTIONAL DESIGNMonoidsMonadsApplicative and traversable functorsPART 4 EFFECTS AND I/OExternal effects and I/OLocal effects and mutable stateStream processing and incremental I/O
You want increased customer satisfaction, faster development cycles, and less wasted work. Domain-driven design (DDD) combined with functional programming is the innovative combo that will get you there. In this pragmatic, down-to-earth guide, you'll see how applying the core principles of functional programming can result in software designs that model real-world requirements both elegantly and concisely - often more so than an object-oriented approach. Practical examples in the open-source F# functional language, and examples from familiar business domains, show you how to apply these techniques to build software that is business-focused, flexible, and high quality.Domain-driven design is a well-established approach to designing software that ensures that domain experts and developers work together effectively to create high-quality software. This book is the first to combine DDD with techniques from statically typed functional programming. This book is perfect for newcomers to DDD or functional programming - all the techniques you need will be introduced and explained.Model a complex domain accurately using the F# type system, creating compilable code that is also readable documentation---ensuring that the code and design never get out of sync. Encode business rules in the design so that you have "compile-time unit tests," and eliminate many potential bugs by making illegal states unrepresentable. Assemble a series of small, testable functions into a complete use case, and compose these individual scenarios into a large-scale design. Discover why the combination of functional programming and DDD leads naturally to service-oriented and hexagonal architectures. Finally, create a functional domain model that works with traditional databases, NoSQL, and event stores, and safely expose your domain via a website or API.Solve real problems by focusing on real-world requirements for your software.What You Need:The code in this book is designed to be run interactively on Windows, Mac and Linux.You will need a recent version of F# (4.0 or greater), and the appropriate .NET runtime for your platform.Full installation instructions for all platforms at fsharp.org.
Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners.The authors explore ways to enhance flexibility by: ? Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces ? Augmenting data with independent annotation layers, such as units of measurement or provenance ? Combining independent pieces of partial information using unification or propagation ? Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking ? Extending the programming language, using dynamically extensible evaluators
Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet.This book explores critical implications of that evolution: What happens when events and data streams help you discover new activity sources to enhance existing businesses or drive new markets? What technologies and architectural patterns can position your company for opportunities enabled by flow? James Urquhart, global field CTO at VMware, guides enterprise architects, software developers, and product managers through the process.Learn the benefits of flow dynamics when businesses, governments, and other institutions integrate via events and data streamsUnderstand the value chain for flow integration through Wardley mapping visualization and promise theory modelingWalk through basic concepts behind today's event-driven systems marketplaceLearn how today's integration patterns will influence the real-time events flow in the futureExplore why companies should architect and build software today to take advantage of flow in coming years
Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updatesKey FeaturesMaster Kubernetes architecture and design to build and deploy secure distributed applicationsLearn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observabilityExplore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and HelmBook DescriptionThe third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18?s latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms.The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes.As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows.By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.What you will learnMaster the fundamentals of Kubernetes architecture and designBuild and run stateful applications and complex microservices on KubernetesUse tools like Kubectl, secrets, and Helm to manage resources and storageMaster Kubernetes Networking with load balancing options like IngressAchieve high-availability Kubernetes clustersImprove Kubernetes observability with tools like Prometheus, Grafana, and JaegerExtend Kubernetes working with Kubernetes API, plugins, and webhooksWho this book is forIf you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful. Table of ContentsUnderstanding Kubernetes ArchitectureCreating Kubernetes ClustersHigh Availability and ReliabilitySecuring KubernetesUsing Kubernetes Resources in PracticeManaging StorageRunning Stateful Applications with KubernetesDeploying and Updating ApplicationsPackaging ApplicationsExploring Advanced NetworkingRunning Kubernetes on Multiple Clouds and Cluster FederationServerless Computing on KubernetesMonitoring Kubernetes ClustersUtilizing Service MeshesExtending KubernetesThe Future of Kubernetes
Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today?s most useful DevOps tools, including Docker, Kubernetes, and Terraform.Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you?ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide.Python foundations, including a brief introduction to the languageHow to automate text, write command-line tools, and automate the filesystemLinux utilities, package management, build systems, monitoring and instrumentation, and automated testingCloud computing, infrastructure as code, Kubernetes, and serverlessMachine learning operations and data engineering from a DevOps perspectiveBuilding, deploying, and operationalizing a machine learning project
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 expressionsLearn how to write production-grade Terraform modulesDive into manual and automated testing for Terraform codeCompare Terraform to Chef, Puppet, Ansible, CloudFormation, and Salt StackDeploy server clusters, load balancers, and databasesUse Terraform to manage the state of your infrastructureCreate reusable infrastructure with Terraform modulesUse advanced Terraform syntax to achieve zero-downtime deployment
