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Designing Fast Data Application Architectures
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Designing Fast Data Application Architectures
by Sean Glover, Stavros Kontopoulos, Gerard Maas
Designing Fast Data Application Architectures
Introduction
1. The Anatomy of Fast Data Applications
A Basic Application Model
Streaming Data Sources
Stream Properties
Processing Engines
Data Sinks
2. Dissecting the SMACK Stack
The SMACK Stack
Functional Composition of the SMACK Stack
3. The Message Backbone
Understanding Your Messaging Requirements
Data Ingestion
Fast Data, Low Latency
Message Delivery Semantics
Distributing Messages
4. Compute Engines
Micro-Batch Processing
One-at-a-Time Processing
How to Choose
5. Storage
Storage as the Fast Data Borders
The Message Backbone as Transition Point
6. Serving
Sharing Stateful Streaming State
Data-Driven Microservices
State and Microservices
7. Substrate
Deployment Environments for Fast Data Apps
Application Containerization
Resource Scheduling
Apache Mesos
Kubernetes
Cloud Deployments
8. Conclusions
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Designing Fast Data Application Architectures
Designing Fast Data Application Architectures
Gerard Maas, Stavros Kontopoulos, and Sean Glover
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