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    1. Data och IT
    2. Programmeringsböcker
    3. Webbprogrammering

    Implementing Cloud Design Patterns for AWS

    Solutions and design ideas for solving system design problems

    AvRick Farmer,Sean Keery

    Häftad, Engelska, 2019

    584 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS CloudKey FeaturesBuild highly robust systems using the cloud infrastructureMake web applications resilient against scheduled and accidental downtimeExplore and apply Amazon-provided services in unique ways to solve common design problemsBook DescriptionWhether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs.Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data.By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate.What you will learnImplement scaling policies on schedules, influxes in traffic, and deep health checksMake complete use of highly available and redundant storageDesign content delivery networks to improve user experienceOptimize databases through caching and shardingApply patterns to solve common problemsImplement repeatable processes for deploying systemsWho this book is forIf you’re an architect, solution provider, or DevOps community member looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure, this book is for you.You’ll need prior experience of using AWS understand key concepts covered in the book, as it focuses on the patterns rather than the basics of using AWS.

    Produktinformation

    • Utgivningsdatum:2019-04-30
    • Mått:191 x 235 x 15 mm
    • Vikt:518 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:274
    • Upplaga:2
    • Förlag:Packt Publishing Limited
    • ISBN:9781789136203

    Utforska kategorier

    • Webbprogrammering inom Data och IT
    • Nätverk och kommunikation inom Data och IT

    Mer om författaren

    Rick Farmer is one of the founders and a leader of the Pivotal Cloud Foundry Solutions enterprise consulting and delivery team at Pivotal. Over the last two decades, he established a track record of navigating complex organizational technology and services to deliver breathtaking results for mission-critical initiatives at over 70 of the world's most recognizable companies and government entities. Many of the engagements he has anchored have won various personal and project awards. Rick unlocks innovation and business value using Cloud Foundry to inject enterprise agility into even the most challenging environments by aligning digital transformation, technical and business opportunities. He enjoys speaking at conferences on subjects ranging from Cloud Foundry to Data Science to Digital Transformation to Agility in the Enterprise. Since 1997, Rick has surfed tropical events hitting the Texas Gulf Coast. He has a data science visualization project inducted into the Visualization Hall of Fame at the Harvard School of Engineering and Applied Sciences. Sean Keery began hacking obscure video game systems at the age of 13. Sean then developed interpersonal skills while teaching snowboarding. Nowadays, Cloud Foundry, choreography, containers and plenty of .io. Cluster deployments, IaaS independence, and his studies for a master's in data science keep Sean occupied. The daily commute is filled with podcasts and chipmunk bunny hops. Some family time, spicy food, a good book, and wrecking the latest toys keep Sean busy at home. Clive Harber has been programming computers since he was 13, when Commodore Basic was all the rage and the internet, as an idea, was something that was only just starting to appear in films such as WarGames. Fast-forward a decade, he gained a master's degree in chemical engineering from University of Wales, Swansea, which he used briefly in a stint when he worked in a semi-conductor foundry making microchips. Not being totally satisfied with this, he decided to change fields and learn how to write stuff for the internet. Now, he runs his own consultancy, Distorted Thinking, providing services to organizations that find themselves in digital transition, whether that's software changes or infrastructure to cloud service migration. Marcus Young obtained a degree in computer science and mathematics before getting involved in system administration and DevOps. He currently works in software automation using open source tools and technologies. His hobbies include playing ice hockey and brewing homebrew beer. He also enjoys hardware projects based on microcontrollers and single-board computers.

    Innehållsförteckning

    • Table of ContentsIntroduction to Amazon Web ServicesCore Services - Building Blocks for Your ProductAvailability Patterns - Understanding Your NeedsSecurity - Ensuring the Integrity of Your SystemsContinuous Deployment - Introducing New Features with Minimal RiskEphemeral Environments - Sandboxes for ExperimentsOperation and Maintenance - Keeping Things Running at Peak PerformanceApplication Virtualization - Using Cloud Native Patterns for Your WorkloadsAntipatterns - Avoiding Counterproductive SolutionsDatabases - Identifying Which Type Fits Your NeedsData Processing - Handling Your Data TransformationObservability - Understanding How Your Products Are BehavingAnti-Patterns - Bypassing Inferior Options