Basic application design patterns for web, batch and integration applications in diagrams. Languages, technologies, platforms are changing, but in each environment we recognize the same patterns and solutions.

1. Application Patterns
tomi vanek
February 2014

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•User Interaction
•Services
•Persistence – scaling, locking, cache
•Real-time processing
•High Volume Batch Processing
Agenda

3. User Interaction

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MVP
MVC / MVP / MV-VM
Model
View
Controller
Action
Model
View
Presenter
Action
Model
View
View-Model
Action
MVC
MV-VM

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Model-View-Controller (MVC)

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MVC Variant: Page Flow

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Page flow with asynchronous commit of order
Simple synchronous MVC implementation
MVC: Page Flow Example

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In-Memory Server Session State

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Persistent Session State

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Serialized Session State in View

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Client Session State in Local Storage

12. Services

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Method invocation / Resource manipulation
•Services:
–Strongly typed interface contract.
–Broad range of aspects are standardized.
–Implemented in integration infrastructure and technologies.
–Service discoverability and lifetime management.
•But:
–Limits in scalability.
–Expensive extensibility.
•Resources:
–Simple data exploration.
–Simple extensibility.
–Simple data consumer code.
•But:
–Limited schema definition.
–No standards for complex functionalities / scenarios.

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Business Layer Remote Procedure Call
Presentation
Presentation Layer
Business Tier
Data Tier
External
Business Module
Resources
Data Layer
Business Layer
External
System
Repository
Integration Gateway
Service
Service
Relational Database

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Compact Business Layer with Active Records
Application Tier
Dynamic
Presentation Module
Presentation Layer
Resources
Domain Layer
Presentation
Data Tier
External
External
System
Integration Gateway
Relational Database

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REST / WS Business Layer
Presentation
Business Tier
Data Tier
External
Business Module
Resources
Data Layer
Business Layer
Presentation Layer
External
System
Repository
Integration Gateway
Service
Service
Relational Database
Controller

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Asynchronous Business Layer
Presentation
Business Tier
Data Tier
External
Business Module
Resources
Data Layer
Business Layer
Presentation Layer
External
System
Repository
Relational Database
Integration Gateway
Queue
Queue
Service
Queue
Queue
Service

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Push Notification Business Layer
Presentation
Business Tier
Business Module
Resources
Data Layer
Business Layer
Presentation Layer
Subject Register
Service

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Data synchronization

20. Persistence - Scaling

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Database Scaling: Master – Slave
Internet
Load Balancer
Load Balancer
Slaves
Web Servers
Master
Write
Read
Replicate

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Database Scaling: Active - Passive
Internet
Load Balancer
Passive
Web Servers
Failed
Active Instance
Passive to Active
Instance
Replicate
Read / Write

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Database Scaling: Cluster
Internet
Load Balancer
Virtual Database Cluster
Controller
Virtual Database Cluster
Controller

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Database Scaling
Load Balancer
Shard Resolver
Web Servers
Product 1 .. n
Product n+1 .. o
Product o+1 .. p

25. Locking

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Optimistic Locking

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Pessimistic Locking

28. Cache

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Read-through / Write-through Cache

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Pre-fetch

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Publisher

32. Real-time processing
Integration Patterns

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Reference model

34. 34
Messaging Idioms
•Channels
•Message Construction
•Rooting
•Transformation
Messaging Design Patterns
•Pipes and Filters
•Claim Check
•Scatter-Gather
Integration Application Architecture Design Patterns

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Pipes and filters

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Pipeline

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Claim-check

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Claim-check for secure communication

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Scatter-Gather with Publish-Subscribe Input Channel

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Scatter-Gather with Recipient List

41. Scale-Out Batch
High Volume Batch Processing

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Batch Application Elements
Job Launcher
Job
Step
Reader
Processor
Writer
Job Repository

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Batch reference model

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Scaling

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Job with Parallel Steps

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Step with parallel threads

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Partitioning

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Remote chunking

49. Discussion