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Managing Cloud Native Data on Kubernetes
Managing Cloud Native Data on Kubernetes
Managing Cloud Native Data on Kubernetes

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자료유형  
 전자책 국외
최종처리일시  
20260202073946.0
ISBN  
9781098111366 (electronic bk.)
ISBN  
9781098111397
저자명  
Carpenter, Jeff.
서명/저자  
Managing Cloud Native Data on Kubernetes
판사항  
1st ed.
형태사항  
1 online resource (331 pages)
내용주기  
완전내용Cover -- Copyright -- Table of Contents -- Foreword -- Preface -- Why We Wrote This Book -- Who Is This Book For? -- How to Read This Book -- Conventions Used in This Book -- Using Code Examples -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- Chapter 1. Introduction to Cloud Native Data Infrastructure: Persistence, Streaming, and Batch Analytics -- Infrastructure Types -- What Is Cloud Native Data? -- More Infrastructure, More Problems -- Kubernetes Leading the Way -- Managing Compute on Kubernetes -- Managing Network on Kubernetes -- Managing Storage on Kubernetes -- Cloud Native Data Components -- Looking Forward -- Getting Ready for the Revolution -- Adopt an SRE Mindset -- Embrace Distributed Computing -- Principles of Cloud Native Data Infrastructure -- Summary -- Chapter 2. Managing Data Storage on Kubernetes -- Docker, Containers, and State -- Managing State in Docker -- Bind Mounts -- Volumes -- Tmpfs Mounts -- Volume Drivers -- Kubernetes Resources for Data Storage -- Pods and Volumes -- PersistentVolumes -- PersistentVolumeClaims -- StorageClasses -- Kubernetes Storage Architecture -- Flexvolume -- Container Storage Interface -- Container Attached Storage -- Container Object Storage Interface -- Summary -- Chapter 3. Databases on Kubernetes the Hard Way -- The Hard Way -- Prerequisites for Running Data Infrastructure on Kubernetes -- Running MySQL on Kubernetes -- ReplicaSets -- Deployments -- Services -- Accessing MySQL -- Running Apache Cassandra on Kubernetes -- StatefulSets -- Accessing Cassandra -- Summary -- Chapter 4. Automating Database Deployment on Kubernetes with Helm -- Deploying Applications with Helm Charts -- Using Helm to Deploy MySQL -- How Helm Works -- Labels -- ServiceAccounts -- Secrets -- ConfigMaps -- Updating Helm Charts -- Uninstalling Helm Charts -- Using Helm to Deploy Apache Cassandra.
내용주기  
완전내용Affinity and Anti-Affinity -- Helm, CI/CD, and Operations -- Summary -- Chapter 5. Automating Database Management on Kubernetes with Operators -- Extending the Kubernetes Control Plane -- Extending Kubernetes Clients -- Extending Kubernetes Control Plane Components -- Extending Kubernetes Worker Node Components -- The Operator Pattern -- Controllers -- Custom Resources -- Operators -- Managing MySQL in Kubernetes Using the Vitess Operator -- Vitess Overview -- PlanetScale Vitess Operator -- A Growing Ecosystem of Operators -- Choosing Operators -- Building Operators -- Summary -- Chapter 6. Integrating Data Infrastructure in a Kubernetes Stack -- K8ssandra: Production-Ready Cassandra on Kubernetes -- K8ssandra Architecture -- Installing the K8ssandra Operator -- Creating a K8ssandraCluster -- Managing Cassandra in Kubernetes with Cass Operator -- Enabling Developer Productivity with Stargate APIs -- Unified Monitoring Infrastructure with Prometheus and Grafana -- Performing Repairs with Cassandra Reaper -- Backing Up and Restoring Data with Cassandra Medusa -- Creating a Backup -- Restoring from Backup -- Deploying Multicluster Applications in Kubernetes -- Summary -- Chapter 7. The Kubernetes Native Database -- Why a Kubernetes Native Approach Is Needed -- Hybrid Data Access at Scale with TiDB -- TiDB Architecture -- Deploying TiDB in Kubernetes -- Serverless Cassandra with DataStax Astra DB -- What to Look for in a Kubernetes Native Database -- Basic Requirements -- The Future of Kubernetes Native -- Summary -- Chapter 8. Streaming Data on Kubernetes -- Introduction to Streaming -- Types of Delivery -- Delivery Guarantees -- Feature Scope -- The Role of Streaming in Kubernetes -- Streaming on Kubernetes with Apache Pulsar -- Preparing Your Environment -- Securing Communications by Default with cert-manager -- Using Helm to Deploy Apache Pulsar.
내용주기  
완전내용Stream Analytics with Apache Flink -- Deploying Apache Flink on Kubernetes -- Summary -- Chapter 9. Data Analytics on Kubernetes -- Introduction to Analytics -- Deploying Analytic Workloads in Kubernetes -- Introduction to Apache Spark -- Deploying Apache Spark in Kubernetes -- Build Your Custom Container -- Submit and Run Your Application -- Kubernetes Operator for Apache Spark -- Alternative Schedulers for Kubernetes -- Apache YuniKorn -- Volcano -- Analytic Engines for Kubernetes -- Dask -- Ray -- Summary -- Chapter 10. Machine Learning and Other Emerging Use Cases -- The Cloud Native AI/ML Stack -- AI/ML Definitions -- Defining an AI/ML Stack -- Real-Time Model Serving with KServe -- Full Lifecycle Feature Management with Feast -- Vector Similarity Search with Milvus -- Efficient Data Movement with Apache Arrow -- Versioned Object Storage with lakeFS -- Summary -- Chapter 11. Migrating Data Workloads to Kubernetes -- The Vision: Application-Aware Platforms -- Charting Your Path to Success -- People -- Technology -- Process -- The Future of Cloud Native Data -- Summary -- Index -- About the Authors -- Colophon.
기타저자  
McFadin, Patrick.
기타형태저록  
Print version / Carpenter, JeffManaging Cloud Native Data on Kubernetes. Sebastopol : O'Reilly Media, Incorporated,c2023. 9781098111397
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

 008260202s2023        xx            o                  0  eng  d
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■1001  ▼aCarpenter,  Jeff.
■24510▼aManaging  Cloud  Native  Data  on  Kubernetes
■250    ▼a1st  ed.
■264  1▼aSebastopol▼bO'Reilly  Media,  Incorporated▼c2023.
■264  4▼c?023.
■300    ▼a1  online  resource  (331  pages)
■336    ▼atext▼btxt▼2rdacontent
■337    ▼acomputer▼bc▼2rdamedia
■338    ▼aonline  resource▼bcr▼2rdacarrier
■5050  ▼aCover  --  Copyright  --  Table  of  Contents  --  Foreword  --  Preface  --  Why  We  Wrote  This  Book  --  Who  Is  This  Book  For?  --  How  to  Read  This  Book  --  Conventions  Used  in  This  Book  --  Using  Code  Examples  --  O'Reilly  Online  Learning  --  How  to  Contact  Us  --  Acknowledgments  --  Chapter  1.  Introduction  to  Cloud  Native  Data  Infrastructure:  Persistence,  Streaming,  and  Batch  Analytics  --  Infrastructure  Types  --  What  Is  Cloud  Native  Data?  --  More  Infrastructure,  More  Problems  --  Kubernetes  Leading  the  Way  --  Managing  Compute  on  Kubernetes  --  Managing  Network  on  Kubernetes  --  Managing  Storage  on  Kubernetes  --  Cloud  Native  Data  Components  --  Looking  Forward  --  Getting  Ready  for  the  Revolution  --  Adopt  an  SRE  Mindset  --  Embrace  Distributed  Computing  --  Principles  of  Cloud  Native  Data  Infrastructure  --  Summary  --  Chapter  2.  Managing  Data  Storage  on  Kubernetes  --  Docker,  Containers,  and  State  --  Managing  State  in  Docker  --  Bind  Mounts  --  Volumes  --  Tmpfs  Mounts  --  Volume  Drivers  --  Kubernetes  Resources  for  Data  Storage  --  Pods  and  Volumes  --  PersistentVolumes  --  PersistentVolumeClaims  --  StorageClasses  --  Kubernetes  Storage  Architecture  --  Flexvolume  --  Container  Storage  Interface  --  Container  Attached  Storage  --  Container  Object  Storage  Interface  --  Summary  --  Chapter  3.  Databases  on  Kubernetes  the  Hard  Way  --  The  Hard  Way  --  Prerequisites  for  Running  Data  Infrastructure  on  Kubernetes  --  Running  MySQL  on  Kubernetes  --  ReplicaSets  --  Deployments  --  Services  --  Accessing  MySQL  --  Running  Apache  Cassandra  on  Kubernetes  --  StatefulSets  --  Accessing  Cassandra  --  Summary  --  Chapter  4.  Automating  Database  Deployment  on  Kubernetes  with  Helm  --  Deploying  Applications  with  Helm  Charts  --  Using  Helm  to  Deploy  MySQL  --  How  Helm  Works  --  Labels  --  ServiceAccounts  --  Secrets  --  ConfigMaps  --  Updating  Helm  Charts  --  Uninstalling  Helm  Charts  --  Using  Helm  to  Deploy  Apache  Cassandra.
■5058  ▼aAffinity  and  Anti-Affinity  --  Helm,  CI/CD,  and  Operations  --  Summary  --  Chapter  5.  Automating  Database  Management  on  Kubernetes  with  Operators  --  Extending  the  Kubernetes  Control  Plane  --  Extending  Kubernetes  Clients  --  Extending  Kubernetes  Control  Plane  Components  --  Extending  Kubernetes  Worker  Node  Components  --  The  Operator  Pattern  --  Controllers  --  Custom  Resources  --  Operators  --  Managing  MySQL  in  Kubernetes  Using  the  Vitess  Operator  --  Vitess  Overview  --  PlanetScale  Vitess  Operator  --  A  Growing  Ecosystem  of  Operators  --  Choosing  Operators  --  Building  Operators  --  Summary  --  Chapter  6.  Integrating  Data  Infrastructure  in  a  Kubernetes  Stack  --  K8ssandra:  Production-Ready  Cassandra  on  Kubernetes  --  K8ssandra  Architecture  --  Installing  the  K8ssandra  Operator  --  Creating  a  K8ssandraCluster  --  Managing  Cassandra  in  Kubernetes  with  Cass  Operator  --  Enabling  Developer  Productivity  with  Stargate  APIs  --  Unified  Monitoring  Infrastructure  with  Prometheus  and  Grafana  --  Performing  Repairs  with  Cassandra  Reaper  --  Backing  Up  and  Restoring  Data  with  Cassandra  Medusa  --  Creating  a  Backup  --  Restoring  from  Backup  --  Deploying  Multicluster  Applications  in  Kubernetes  --  Summary  --  Chapter  7.  The  Kubernetes  Native  Database  --  Why  a  Kubernetes  Native  Approach  Is  Needed  --  Hybrid  Data  Access  at  Scale  with  TiDB  --  TiDB  Architecture  --  Deploying  TiDB  in  Kubernetes  --  Serverless  Cassandra  with  DataStax  Astra  DB  --  What  to  Look  for  in  a  Kubernetes  Native  Database  --  Basic  Requirements  --  The  Future  of  Kubernetes  Native  --  Summary  --  Chapter  8.  Streaming  Data  on  Kubernetes  --  Introduction  to  Streaming  --  Types  of  Delivery  --  Delivery  Guarantees  --  Feature  Scope  --  The  Role  of  Streaming  in  Kubernetes  --  Streaming  on  Kubernetes  with  Apache  Pulsar  --  Preparing  Your  Environment  --  Securing  Communications  by  Default  with  cert-manager  --  Using  Helm  to  Deploy  Apache  Pulsar.
■5058  ▼aStream  Analytics  with  Apache  Flink  --  Deploying  Apache  Flink  on  Kubernetes  --  Summary  --  Chapter  9.  Data  Analytics  on  Kubernetes  --  Introduction  to  Analytics  --  Deploying  Analytic  Workloads  in  Kubernetes  --  Introduction  to  Apache  Spark  --  Deploying  Apache  Spark  in  Kubernetes  --  Build  Your  Custom  Container  --  Submit  and  Run  Your  Application  --  Kubernetes  Operator  for  Apache  Spark  --  Alternative  Schedulers  for  Kubernetes  --  Apache  YuniKorn  --  Volcano  --  Analytic  Engines  for  Kubernetes  --  Dask  --  Ray  --  Summary  --  Chapter  10.  Machine  Learning  and  Other  Emerging  Use  Cases  --  The  Cloud  Native  AI/ML  Stack  --  AI/ML  Definitions  --  Defining  an  AI/ML  Stack  --  Real-Time  Model  Serving  with  KServe  --  Full  Lifecycle  Feature  Management  with  Feast  --  Vector  Similarity  Search  with  Milvus  --  Efficient  Data  Movement  with  Apache  Arrow  --  Versioned  Object  Storage  with  lakeFS  --  Summary  --  Chapter  11.  Migrating  Data  Workloads  to  Kubernetes  --  The  Vision:  Application-Aware  Platforms  --  Charting  Your  Path  to  Success  --  People  --  Technology  --  Process  --  The  Future  of  Cloud  Native  Data  --  Summary  --  Index  --  About  the  Authors  --  Colophon.
■588    ▼aDescription  based  on  publisher  supplied  metadata  and  other  sources.
■590    ▼aElectronic  reproduction.  Ann  Arbor,  Michigan  :  ProQuest  Ebook  Central,  2026.  Available  via  World  Wide  Web.  Access  may  be  limited  to  ProQuest  Ebook  Central  affiliated  libraries.  
■655  4▼aElectronic  books.
■7001  ▼aMcFadin,  Patrick.
■77608▼iPrint  version▼aCarpenter,  Jeff▼tManaging  Cloud  Native  Data  on  Kubernetes▼dSebastopol  :  O'Reilly  Media,  Incorporated,c2023▼z9781098111397
■7972  ▼aProQuest  (Firm)
■85640▼uhttps://ebookcentral.proquest.com/lib/baekseok-ebooks/detail.action?docID=30280407▼zClick  to  View

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