Sale!

Mastering Apache Pulsar: Cloud Native Event Streaming at Scale 1st Edition by Jowanza Joseph 9781492084853 1492084859

Name: Mastering Apache Pulsar: Cloud Native Event Streaming at Scale 1st Edition by Jowanza Joseph 9781492084853 1492084859
SKU: EB-42012274
Availability: InStock

Original price was: $50.00.Current price is: $25.00.

Mastering Apache Pulsar: Cloud Native Event Streaming at Scale 1st Edition Joseph Digital Instant Download

Author(s): Joseph, Jowanza

ISBN(s): 9781492084907, 1492084905

Edition: 1

File Details: PDF, 6.97 MB

Year: 2022

Language: English

SKU: EB-42012274 Category: Computers - Web Development Tags: 1492084859, 9781492084853, Mastering Apache Pulsar, Native Event, Scale

Description

Mastering Apache Pulsar: Cloud Native Event Streaming at Scale 1st Edition Jowanza Joseph – Ebook Instant Download/Delivery ISBN(s): 9781492084853, 1492084859

Product details:

ISBN 10:1492084859
ISBN 13:9781492084853
Author: Jowanza Joseph

Mastering Apache Pulsar
Cloud Native Event Streaming at Scale

Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you’ll learn Pulsar’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar’s operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto

Table contents:

1. The Value of Real-Time Messaging
Data in Motion
Resource Efficiency
Interesting Applications
Banking
Medical
Security
Internet of Things
Summary
2. Event Streams and Event Brokers
Publish/Subscribe
Queues
Failure Modes
Push Versus Poll
The Need for Pulsar
Unification
Modularity
Performance
Summary
3. Pulsar
Origins of Pulsar
Pulsar Design Principles
Multitenancy
Geo-Replication
Performance
Modularity
Pulsar Ecosystem
Pulsar Functions
Pulsar IO
Pulsar SQL
Pulsar Success Stories
Yahoo! JAPAN
Splunk
Iterable
Summary
4. Pulsar Internals
Brokers
Message Cache
BookKeeper and ZooKeeper Communication
Schema Validation
Inter-Broker Communication
Pulsar Functions and Pulsar IO
Apache BookKeeper
Write-Ahead Logging
Message Storing
Object/Blob Storage
Pravega
Majordodo
Apache ZooKeeper
Naming Service
Configuration Management
Leader Election
Notification System
Apache Kafka
Apache Druid
Pulsar Proxy
Java Virtual Machine (JVM)
Netty
Apache Spark
Apache Lucene
Summary
5. Consumers
What Does It Mean to Be a Consumer?
Subscriptions
Exclusive
Shared
Key_Shared
Failover
Acknowledgments
Individual Ack
Cumulative Ack
Schemas
Consumer Schema Management
Consumption Modes
Batching
Chunking
Advanced Configuration
Delayed Messages
Retention Policy
Backlog Quota
Configuring a Consumer
Replay
Dead Letter Topics
Retry Letter Topics
Summary
6. Producers
Synchronous Producers
Asynchronous Producers
Producer Routing
Round-Robin Routing
Single Partition Routing
Custom Partition Routing
Producer Configuration
topicName
producerName
sendTimeoutMs
blockIfQueueFull
maxPendingMessages
maxPendingMessagesAcrossPartitions
messageRoutingMode
hashingScheme
cryptoFailureAction
batchingMaxPublishDelayMicros
batchingMaxMessages
batchingEnabled
compressionType
Schema on Write
Using the Schema Registry
Nonpersistent Topics
Use Cases
Using Nonpersistent Topics
Transactions
Summary
7. Pulsar IO
Pulsar IO Architecture
Runtime
Performance Considerations
Use Cases
Simple Event Processing Pipelines
Change Data Capture
Considerations
Message Serialization
Pipeline Stability
Failure Handling
Examples
Elasticsearch
Netty
Writing Your Connector
TimescaleDB
Summary
8. Pulsar Functions
Stream Processing
Pulsar Functions Architecture
Runtime
Isolation
Isolation with Kubernetes Function Deployments
Use Cases
Creating Pulsar Functions
Simple Event Processing
Topic Hygiene
Topic Accounting
Summary
9. Tiered Storage
Storing Data in the Cloud
Object Storage
Use Cases
Replication
CQRS
Disaster Recovery
Offloading Data
Pulsar Offloaders
Retrieving Offloaded Data
Interacting with Object Store Data
Repopulating Topics
Utilizing Pulsar Client
Summary
10. Pulsar SQL
Streams as Tables
SQL-on-Anything Engines
Apache Flink: An Alternative Perspective
Presto/Trino
How Pulsar SQL Works
Configuring Pulsar SQL
Performance Considerations
Summary
11. Deploying Pulsar
Docker
Bare Metal
Minimum Requirements
Getting Started
Deploying ZooKeeper
Starting BookKeeper
Starting Pulsar
Public Cloud Providers
AWS
Azure
Google Cloud Platform
Kubernetes
Summary
12. Operating Pulsar
Apache BookKeeper Metrics
Server Metrics
Journal Metrics
Storage Metrics
Apache ZooKeeper Metrics
Server Metrics
Request Metrics
Topic Metrics
Consumer Metrics
Pulsar Transaction Metrics
Pulsar Function Metrics
Advanced Operating Techniques
Interceptors and Tracing
Pulsar SQL Metrics
Metrics Forwarding
Dashboards
Summary
13. The Future
Programming Language Support
Extension Interface
Enhancements to Pulsar Functions
Architectural Simplification/Expansion
Messaging Platform Bridges