Real-world software design practices when developing ASP.NET web systems by Bojan Veljanovski

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Bojan Veljanovski

Software Development Engineer | Technical Architect

HASELT

Real-world software design practices when developing ASP.NET web systems

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• Users interact with apps by INTENT

• Server processes ACTIONS

• Who triggers those ACTIONS?

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Example of User Intent in medical institution

• Actor: Patient

– Request an appointment with the doctor

– Cancel appointment

– Re-schedule appointment

• Actor: Doctor

– Confirm requested patient’s appointment

– Deny requested patient’s appointment

– Check schedule

– Look into historical medical records for the patient

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Example of a System Action

• Patient Actions

– RequestNewAppointment

– CancelRequestedAppointment

– RequestAppointmentReschedule

• Doctor Actions

– ConfirmRequestedAppointment

– DenyRequestedAppointment

– GetSchedule

– GetHistoricalRecordsForPatient

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• Patient Actions




• Doctor Actions



– GetSchedule


• WRITE

• WRITE

• WRITE

• WRITE

• WRITE

• READ

• READ

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• Patient Actions




• Doctor Actions



– GetSchedule


• Command

• Command

• Command

• Command

• Command

• Query

• Query

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Users work with apps by INTENT.

Your UI should capture it!Your system should process it!

Evolving Architecture

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Agenda

• Evolving Architectures

• Command & Query Implementation

• Component Oriented Single Page Modules

• Evolutionary database development

• Summary

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Bojan Veljanovski

• Software Development Engineer and Technical Architectat HASELT

• HyperLAB Coordinator

• Technical Speaker

• Microsoft Certified Professional

• Former Microsoft Student Partner

Favorite topics:

– Software Architectures and Design

– Code. Code. Code.

– Emerging technologies

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Evolving Architectures(from high-level perspective)

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Classical Layered Architecture


UI

ASP.NET

App Services

Data Access Logic

DB

DTO

DTO

Domain Object

Data Structure

ValidationBusiness LogicData ReadsData Writes

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Adding Query


UI

ASP.NET

App Services

Data Access Logic

DB

DTO

DTO

Domain Object

Data Structure

ValidationBusiness LogicSome Data ReadsData Writes

Query Handler

Data Reads

Query Result

Domain Object

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Going further with the Query


UI

ASP.NET

App Services

Data Access Logic

DB

DTO

DTO

Domain Object

Data Structure

ValidationBusiness LogicSome Data ReadsData Writes

Query Handler

Query Result

Denorm Structure

Data Reads

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Adding Command


UI

ASP.NET

App Services

Data Access Logic

DB

DTO

DTO

Domain Object

Data Structure

ValidationBusiness LogicSome ReadsWrites

Query Handler

Query Result

Denorm Structure

Data ReadsCommand

Handler

Command

Domain Object

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Some cleaning


UI

ASP.NET

Data Access Logic

DB

Data Structure


Query Handler

Query Result

Denorm Structure

Data ReadsCommand

Handler

Command

Domain Object

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Some cleaning


UI

ASP.NET

Data Access Logic

DB

Data Structure


Query Handler

Query Result

Denorm Structure

Data ReadsCommand

Handler

Command

Domain Object

CommandQuery Result

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What about collaborative systems, real-time and stuff?


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Look ma’, real-time


UI

ASP.NET

DAL

DB

Query Handler

Command Handler

Event HandlerEvent

Socket: PUSH

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Full-Featured CQRS (overview)


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Command & QueryImplementation

Command & Query Implementation

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Demo:Implementing CQS

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Component Oriented Single Page Modules

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Common seen SPA structure

• Controllers

• Models

• ViewModels

• Views

• Modules

• Components

• Utils

• Services


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There is a better way

• Modules

• Components

– View

– ViewModel

• Shared

– Events (message constant)

– Actions (message constant)

– MessageBus (pub/sub)

• Data Services

– API Calls

– LocalStorage


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Rules of thumb

• One Module per Page

• Focused modules

• Cohesive components

– Not *everything* should be reusable

• Components don’t TALK they:

– REACT (to messages)

– EMIT (messages)

• Message types

– Event

– Action


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MessageBus

Data Services

API

Module A

Module B

Module C

pub

sub

pub

sub

pub

sub

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Flux Architecture


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DemoCOSPM

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Evolutionary Database Development

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Evolutionary Database Development• A DB consist of Schema and Test Data

• Schema is Source Code

• Schema changes are tracked over-time

• Version it in GIT

• Every dev gets its own db instance

• Devs make frequent integrations into shared master

db

• FluentMigration mechanisms help us build our db in

any RDMS system we want

Evolutionary Database Development

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DemoFluent Migration

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Summary

• Users work with apps by INTENT

• System processes ACTION triggered by INTENT

• READS are different from WRITES

– Treat them as so, in your code, yo

• Components are simple, inter-components communication is hard

• Database schema is source code too – it evolves

– Version it

• Don’t fall into the tech hype hole

– Think

• There are no ‘best practices’, only ‘good practices in context’

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Real-world software design practices when developing ASP.NET web systems by Bojan Veljanovski

Technology

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