The Site Reliability Workbook
Conventions Used in This BookUsing Code ExamplesO’Reilly SafariHow to Contact UsAcknowledgments Background on DevOpsNo More SilosAccidents Are NormalChange Should Be GradualTooling and Culture Are InterrelatedMeasurement Is CrucialBackground on SREOperations Is a Software ProblemManage by Service Level Objectives (SLOs)Work to Minimize ToilAutomate This Year’s Job AwayMove Fast by Reducing the Cos
The Manager's Path
What to Expect from a ManagerOne-on-One MeetingsFeedback and Workplace GuidanceTraining and Career GrowthHow to Be ManagedSpend Time Thinking About What You WantYou Are Responsible for YourselfGive Your Manager a BreakChoose Your Managers WiselyAssessing Your Own Experience The Importance of Mentoring to Junior Team MembersBeing a MentorMentoring an InternMentoring a New HireTechnical or Career Me
Machine Learning and Security
What’s In This Book?Who Is This Book For?Conventions Used in This BookUsing Code ExamplesO’Reilly SafariHow to Contact UsAcknowledgments Cyber Threat LandscapeThe Cyber Attacker’s EconomyA Marketplace for Hacking SkillsIndirect MonetizationThe UpshotWhat Is Machine Learning?What Machine Learning Is NotAdversaries Using Machine LearningReal-World Uses of Machine Learning in SecuritySpam Fighting: A
Database Reliability Engineering
Why We Wrote This BookWho This Book Is ForHow This Book Is OrganizedConventions Used in This BookO’Reilly SafariHow to Contact Us Guiding Principles of the DBREProtect the DataSelf-Service for ScaleElimination of ToilDatabases Are Not Special SnowflakesEliminate the Barriers Between Software and OperationsOperations Core OverviewHierarchy of NeedsSurvival and SafetyLove and BelongingEsteemSelf-act
Concurrency in Go
Who Should Read This BookNavigating This BookOnline ResourcesConventions Used in This BookUsing Code ExamplesO’Reilly SafariHow to Contact UsAcknowledgments Moore’s Law, Web Scale, and the Mess We’re InWhy Is Concurrency Hard?Race ConditionsAtomicityMemory Access SynchronizationDeadlocks, Livelocks, and StarvationDetermining Concurrency SafetySimplicity in the Face of Complexity
Anomaly Detection for Monitoring
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Monitoring, the practice of observing systems and determining if they're healthy, is hard--and getting harder. In a perfect world, your anomaly detection system would warn you about ne
Streaming Systems
Navigating This BookTakeawaysConventions Used in This BookOnline ResourcesFiguresCode SnippetsO’Reilly SafariHow to Contact UsAcknowledgments Terminology: What Is Streaming?On the Greatly Exaggerated Limitations of StreamingEvent Time Versus Processing TimeData Processing PatternsBounded DataUnbounded Data: BatchUnbounded Data: StreamingSummary RoadmapBatch Foundations: What and WhereWhat: Transfo
Designing Distributed Systems [Book]
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasin
![Designing Distributed Systems [Book]](https://cdn-ak-scissors.b.st-hatena.com/image/square/6d88ffdbf254f60f9a1dd6f8e4e59c1b4e0c4677/height=288;version=1;width=512/https%3A%2F%2Fwww.oreilly.com%2Flibrary%2Fcover%2F9781491983638%2F1200w630h%2F)
Drawing a map of distributed data systems
For more on navigating the diverse landscape of technologies for processing and storing data, check out Designing Data-Intensive Applications, by Martin Kleppmann. Designing Data-Intensive Applications, the book I’ve been working on for four years, is finally finished, and should be available in your favorite bookstore in the next week or two. An incomplete beta (Early Release) edition has been av
Designing Data-Intensive Applications
Who Should Read This Book?Scope of This BookOutline of This BookReferences and Further ReadingO’Reilly Online LearningHow to Contact UsAcknowledgments Thinking About Data SystemsReliabilityHardware FaultsSoftware ErrorsHuman ErrorsHow Important Is Reliability?ScalabilityDescribing LoadDescribing PerformanceApproaches for Coping with LoadMaintainabilityOperability: Making Life Easy for OperationsSi
Time Series Databases: New Ways to Store and Access Data
Time Series Data Is an Old IdeaTime Series Data Sets Reveal TrendsA New Look at Time Series Databases Stock Trading and Time Series DataMaking Sense of SensorsTalking to Towers: Time Series and TelecomData Center MonitoringEnvironmental Monitoring: Satellites, Robots, and MoreThe Questions to Be Asked Simplest Data Store: Flat FilesMoving Up to a Real Database: But Will RDBMS Suffice?NoSQL Databas
Run strikingly fast parallel file searches in Go with sync.ErrGroup
Register for Go-Beyond the Basics, an online training being held Oct 25-26, or Go + Distributed Computing, an in-person training being held in San Francisco on Nov 1-2. Both courses will be presented by Brian Ketelsen. You’ll learn skills beyond the Go you know, including advanced concepts that will help you create faster, more robust, and more maintainable applications. One of Go’s flagship featu
Kafka: The Definitive Guide
Who Should Read This BookConventions Used in This BookUsing Code ExamplesO’Reilly Online LearningHow to Contact UsAcknowledgments Publish/Subscribe MessagingHow It StartsIndividual Queue SystemsEnter KafkaMessages and BatchesSchemasTopics and PartitionsProducers and ConsumersBrokers and ClustersMultiple ClustersWhy Kafka?Multiple ProducersMultiple ConsumersDisk-Based RetentionScalableHigh Performa
Programming Rust
Who Should Read This BookWhy We Wrote This BookNavigating This BookConventions Used in This BookUsing Code ExamplesO’Reilly SafariHow to Contact UsAcknowledgments Downloading and Installing RustA Simple FunctionWriting and Running Unit TestsHandling Command-Line ArgumentsA Simple Web ServerConcurrencyWhat the Mandelbrot Set Actually IsParsing Pair Command-Line ArgumentsMapping from Pixels to Compl
21st Century C, 2nd Edition
C Is Punk RockQ & A (Or, the Parameters of the Book)Standards: So Many to Choose FromThe POSIX StandardSome LogisticsThe Second EditionConventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments Use a Package ManagerCompiling C with WindowsPOSIX for WindowsCompiling C with POSIXCompiling C Without POSIXWhich Way to the Library?A Few of My Favorite FlagsPath
Docker Cookbook
Why I Wrote This BookHow This Book Is OrganizedTechnology You Need to UnderstandOnline ContentConventions Used in This BookSafari® Books OnlineHow to Contact UsAcknowledgments 1.0 Introduction1.1 Installing Docker on Ubuntu 14.041.2 Installing Docker on CentOS 6.51.3 Installing Docker on CentOS 71.4 Setting Up a Local Docker Host by Using Vagrant1.5 Installing Docker on a Raspberry Pi1.6 Installin
Docker: Up & Running
The Birth of DockerThe Promise of DockerBenefits of the Docker WorkflowWhat Docker Isn’t Process SimplificationBroad Support and AdoptionArchitectureClient/Server ModelNetwork Ports and Unix SocketsRobust ToolingDocker Command-Line ToolApplication Programming Interface (API)Container NetworkingGetting the Most from DockerContainers Are Not Virtual MachinesContainers Are LightweightTowards an Immut
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Zero Trust Networks
SQL and Relational Theory, 2nd Edition
