Managing Cloud Native Data on Kubernetes - Helion

ebook

Autor: Jeff Carpenter, Patrick McFadin
ISBN: 9781098111342
stron: 332, Format: ebook
Data wydania: 2022-12-02
Księgarnia: Helion

Cena książki: 211,65 zł (poprzednio: 246,10 zł)
Oszczędzasz: 14% (-34,45 zł)

Osoby, które kupiły tę książkę, wybierały także »

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.

Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.

With this book, you will:

Learn how to use basic Kubernetes resources to compose data infrastructure
Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators
Evaluate and select data infrastructure technologies for use in your applications
Integrate data infrastructure technologies into your overall stack
Explore emerging technologies that will enhance your Kubernetes-based applications in the future

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Spis treści

Managing Cloud Native Data on Kubernetes eBook -- spis treści

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
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
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
    - Principle 1: Leverage compute, network, and storage as commodity APIs
    - Principle 2: Separate the control and data planes
    - Principle 3: Make observability easy
    - Principle 4: Make the default configuration secure
    - Principle 5: Prefer declarative configuration
- Summary
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
    - Ephemeral volumes
    - Configuration volumes
    - hostPath volumes
    - Cloud volumes
    - Additional volume providers
  - PersistentVolumes
    - Local PersistentVolumes
  - PersistentVolumeClaims
  - StorageClasses
- Kubernetes Storage Architecture
  - Flexvolume
  - Container Storage Interface
  - Container Attached Storage
    - OpenEBS
    - Longhorn
    - Rook and Ceph
  - Container Object Storage Interface
- Summary
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
    - Defining StatefulSets
    - StatefulSet lifecycle management
  - Accessing Cassandra
- Summary
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
  - Affinity and Anti-Affinity
- Helm, CI/CD, and Operations
- Summary
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
    - Events
  - Custom Resources
  - Operators
- Managing MySQL in Kubernetes Using the Vitess Operator
  - Vitess Overview
  - PlanetScale Vitess Operator
    - Installing the Vitess Operator
      - Roles and RoleBindings
      - PriorityClasses
    - Creating a VitessCluster
- A Growing Ecosystem of Operators
  - Choosing Operators
  - Building Operators
- Summary
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
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
    - Installing the TiDB CRDs
    - Installing the TiDB Operator
    - Creating a TidbCluster
- Serverless Cassandra with DataStax Astra DB
- What to Look for in a Kubernetes Native Database
  - Basic Requirements
  - The Future of Kubernetes Native
    - Scalability through multidimensional architectures
    - Community-focused innovation through open source and cloud services
- Summary
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
- Stream Analytics with Apache Flink
  - Deploying Apache Flink on Kubernetes
- Summary
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
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
11. Migrating Data Workloads to Kubernetes
- The Vision: Application-Aware Platforms
- Charting Your Path to Success
  - People
    - Critical people roles for cloud native data
    - Communities to fast-track your innovation
  - Technology
    - Selecting cloud native data projects
    - New architectures for cloud native data
    - Deploy services, not servers
  - Process
    - DevOps practices
    - Basic Kubernetes maturity
    - Deploy stateful workloads
    - Continually optimize your deployments
- The Future of Cloud Native Data
- Summary
Index