💻
Software Development
Technical Knowledges
Technical Knowledges
  • Everything anyone should know
    • Fundamental
      • Life cycle of Dependency Injection
        • When to use?
          • Transient
          • Scoped
          • Singleton
      • OOP
        • Inheritance
          • More with override in C#
            • Why need to use "virtual" keyword when we can use "new" keyword
          • How to achieve multiple inheritance in C#
          • Note
        • Polymophism
        • Encapsulation
        • Abtraction
          • Not use "override" keyword in abstract method
          • Notes
      • Data representing
        • JSON
        • XML
        • Comparation
      • Middleware
      • Status Code
      • API Styles
        • SOAP
        • REST
          • Question
        • GraphQL
        • gRPC
        • WebSocket
        • Webhook
        • Comparation
          • SOAP vs REST
          • REST vs GraphQL
          • gRPC vs REST
          • HTTP vs WebSocket
      • SDK
    • Advanced
      • Memoize
      • N+1 issues
      • Concurrency
        • Thread
          • Race Condition
          • Thread Safety
          • Critical Sections
        • Deadlock
        • Semaphore
    • Comparison
      • Architecture
        • SOA vs Microservices
        • Strong Consistency vs Eventual Consistency
      • Data structures
        • Instance vs Object
        • Field vs Property
        • Properties vs Method
        • Class vs Struct
        • const vs readoly vs static
        • Value types and Reference types
        • i++ vs ++i
        • Prototypal Inheritance vs Class Inheritance
        • Abstraction vs Interface
        • Run-time vs Compile-time
        • Overloading vs Overriding
      • Front-end
        • SSR vs SPA
        • Axios vs Fetch
      • Databases
        • Different between Function() and Store Procedure()
      • Security
        • Encoding vs Encryption vs Tokenization
      • Message Broker
        • RabbitMQ vs Kafka
      • Devops
        • Kubernetes vs Docker Swarm
        • Docker Repository vs Docker Registry
      • Cloud
      • Computer Science
        • Recursion and Iteration
      • Technology
        • .NET Core vs .NET Framework
        • Cache vs Local Storage vs Session Storage vs Cookies
      • SDLC
        • TDD vs BDD
  • Design Pattern
    • Overview
    • Creational Design Patterns
      • Abstract Factory
        • Code Example
          • C#
          • Java
          • Python
      • Builder
        • Code Example
          • C#
          • Java
          • Python
      • Factory Method
        • Code Example
          • C#
          • Java
          • Python
      • Prototype
        • Code example
          • C#
          • Java
          • Python
      • Singleton
        • Code example
          • C#
            • Naïve Singleton
            • Thread-safe Singleton
          • Java
            • Naïve Singleton (single-threaded)
            • Naïve Singleton (multithreaded)
            • Thread-safe Singleton with lazy loading
          • Python
            • Naïve Singleton
            • Thread-safe Singleton
    • Structural Design Patterns
      • Adapter
        • Code example
          • C#
          • Java
          • Python
            • Conceptual Example (via inheritance)
            • Conceptual Example (via object composition)
      • Bridge
        • Code example
          • C#
          • Java
          • Python
      • Composite
        • Code example
          • C#
          • Java
          • Python
      • Decorator
        • Code example
          • C#
          • Java
          • Python
      • Facade
        • Code example
          • C#
          • Java
          • Python
      • Flyweight
        • Code example
          • C#
          • Java
          • Python
      • Proxy
        • Code example
          • C#
          • Java
          • Python
    • Behavior Design Patterns
      • Chain of Responsibility
        • Code example
          • C#
          • Java
          • Python
      • Command
        • C#
        • Java
        • Python
      • Interpreter
        • Code example
          • C#
      • Iterator
        • Code example
          • C#
          • Java
          • Python
      • Mediator
        • Code example
          • C#
          • Java
          • Python
      • Memento
        • Code example
          • C#
          • Java
          • Python
      • Observer
        • Code example
          • C#
          • Java
          • Python
      • State
        • Code example
          • C#
          • Java
          • Python
      • Strategy
        • Code example
          • C#
          • Java
          • Python
        • Different with using abstract class
      • Template Method
        • Code example
          • C#
          • Java
          • Python
      • Visitor
        • Code example
          • C#
          • Java
          • Python
    • Use cases
      • Real-life example
    • More
      • Circuit Breaker Pattern
      • Repository Pattern
      • Unit Of Work Pattern
    • Some design patterns contradictory
  • Architect
    • Clean Architecture
    • Layered (n-tier) Architecture
    • Microservices Architecture
    • Monolithic Architecture
    • Service-Oriented Architecture (SOA)
    • Domain-Driven Design (DDD)
    • Blackboard Architecture
    • Object-Oriented Architecture
  • Microservices Design Pattern
    • Saga Pattern
      • Example
    • Strangler Fig Pattern
    • API Gateway Pattern
    • Backends For Frontends (BFF) Pattern
    • Service Discovery Pattern
    • Circuit Breaker Pattern
    • Bulk Head Pattern
    • Retry Pattern
    • Sidecar Pattern
    • Event Driven Architecture Pattern
    • CQRS (Command and Query Responsibility Segregation)
      • Event Sourcing
      • Code example
        • Basic
        • CQRS + MediatR + EDA + RabbitMQ
      • The Good, the Bad, and the Ugly
    • Configuration Externalization Pattern
  • Design and development principles
    • SOLID aka Design Principles
    • Cohesion Principles
    • Coupling principle
    • Some fundamental principles
      • Separation of Concerns
      • Persistence Ignorance
      • DRY
      • KISS
  • Authentication and Authorization Standards
    • SAML
    • OAuth
    • OIDC
    • SCIM
    • SSO
    • Tools
      • Keycloak
    • More
      • JWT
      • Access Token & Refresh Token
  • .NET TECHNOLOGY
    • .NET MVC
      • HTML Helpers
        • Extension method for HTML Helpers
      • Filters
        • Order of Filters
    • Fundamental
      • Startup file
      • Query Data
        • Linq
          • Filtering
          • Sorting
          • Projecting
          • Quantifying
          • Flattening
          • Grouping
          • Joining
          • Aggregating
          • Deferred execution vs Immediate execution
        • OData
          • Filter Expression
      • ORM
        • Entity Framework
          • Eager Loading vs Lazy Loading vs Explicit Loading
          • How to improve our entity framework core query performance
        • Dapper
        • Why Dapper faster than Entity Framework
      • Identity Server
      • Fluent Validation
      • Minimal API
      • Generic
      • IoC
        • Castle Windsor
        • Autofac
        • Ninject
      • CLR
      • Refit
      • Task Schedule
        • Hangfire
        • Quartz
      • Some notice
    • Advanced
      • Multi Thread
        • Thread pool
        • Parallel
        • Comparation
        • Code comparation
      • Caching
        • IMemoryCache
      • MediatR
      • SignalR
      • API Gateway
        • Ocelot
      • gRPC
      • Multitenancy
      • Special C# technique
        • Generic
        • Extension Method
        • Delegate
        • Lambda Expression
        • Yield
      • Jetbrain tools
        • dotTrace
        • dotMemory
        • dotPeek
      • ABP Framework
        • Multi Layered
          • Domain Layer
            • Entities
            • Repository
            • Domain Services
          • Application Layer
            • Application Services
            • Data Transfer Objects
          • Data Access
            • Entity Framework Core Integration
            • MongoDB Integration
        • Microservice Architecture
        • DDD
          • Domain Layer
            • Entities & Aggregate Roots
            • Value Objects
            • Repositories
            • Domain Services
            • Specifications
          • Application Layer
            • Application Services
            • Data Transfer Objects
            • Unit of Work
    • Tutorial Coding
      • Custom and Using Middleware in .NET CORE
      • Connect Elastic Search and MongoDB
      • Implementing the Unit of Work Pattern in Clean Architecture with .NET Core
    • ServiceStack
    • POCO
  • System Design
    • Blueprint
    • Fundamental
      • Scale from zero to millions of users
        • Single server setup
        • Database
        • Load balancer
        • Database replication
        • Cache
        • Content delivery network (CDN)
        • Stateless web tier
        • Data centers
        • Message queue
        • Logging, metrics, automation
        • Database scaling
        • Millions of users and beyond
      • A framework for system design interviews
        • Step 1 - Understand the problem and establish design scope
        • Step 2 - Propose high-level design and get buy-in
        • Step 3 - Design deep dive
        • Step 4 - Wrap up
        • Summarize
      • Back-of-the-envelope estimation
      • Design a rate limiter
        • Step 1 - Understand the problem and establish design scope
        • Step 2 - Propose high-level design and get buy-in
          • Algorithms for rate limiting
            • Token bucket algorithm
            • Leaking bucket algorithm
            • Fixed window counter algorithm
            • Sliding window log algorithm
            • Sliding window counter algorithm
          • High-level architecture
        • Step 3 - Design deep dive
          • Rate limiting rules
          • Exceeding the rate limit
          • Detailed design
          • Rate limiter in a distributed environment
          • Performance optimization
          • Monitoring
        • Step 4 - Wrap up
      • Design consistent hashing
        • Consitent hashing
        • Two issues in the basic approach
        • Wrap up
      • Design key-value store
        • Understand the problem and establish the design scope
        • CAP theorem
        • System components
          • Data partition
          • Data replication
          • Consistency
          • Inconsistency resolution
          • Handling failures
          • System architecture diagram
          • Write path
          • Read path
      • Design a unique id generator in distributed systems
        • Step 1 - Understand the problem and establish design scope
        • Step 2 - Propose high-level design and get buy-in
          • Multi-master replication
          • UUID
          • Ticket Server
          • Twitter snowflake approach
        • Step 3 - Design deep dive
        • Step 4 - Wrap up
      • Design a url shortener
        • Step 1 - Understand the problem and establish design scope
        • Step 2 - Propose high-level design and get buy-in
        • Step 3 - Design deep dive
          • Data model
          • Hash function
          • URL shortening deep dive
          • URL redirecting deep dive
        • Step 4 - Wrap up
      • Design a web crawler
        • Step 1 - Understand the problem and establish design scope
        • Step 2 - Propose high-level design and get buy-in
        • Step 3 - Design deep dive
          • DFS vs BFS
          • URL frontier
          • HTML Downloader
          • Robustness
          • Extensibility
          • Detect and avoid problematic content
        • Step 4 - Wrap up
    • Use cases
      • Design Youtube
      • Design Social Media App
      • Design Typehead Suggestion
      • Design Taxi Booking System
      • Design Messaging App
  • DBMS
    • Fundamental
      • ACID
      • Order Of Execution of the SQL query
      • Transaction – Concurrency Control Techniques
        • Isolation level
      • Index
        • Clustered Index vs Non-clustered index
        • Index vs Unique index
      • Built-in functions
        • String Functions
          • ASCII
          • CHAR
          • CHARINDEX
          • CONCAT
          • CONCAT_WS
          • DATALENGTH
          • DIFFERENCE
          • FORMAT
          • LEFT
          • LEN
          • LOWER
          • LTRIM
          • NCHAR
          • PATINDEX
          • QUOTENAME
          • REPLACE
          • REPLICATE
          • REVERSE
          • RIGHT
          • RTRIM
          • SOUNDEX
          • SPACE
          • STR
          • STUFF
          • SUBSTRING
          • TRANSLATE
          • TRIM
          • UNICODE
          • UPPER
        • Numeric Functions
          • ABS
          • ACOS
          • ASIN
          • ATAN
          • ATN2
          • AVG
          • CEILING
          • COUNT
          • COS
          • DEGREES
          • EXP
          • FLOOR
          • LOG
          • LOG10
          • MAX
          • MIN
          • PI
          • POWER
          • RADIANS
          • ROUND
          • SIGN
          • SIN
          • SQRT
          • SQUARE
          • SUM
          • TAN
        • Date Functions
          • CURRENT_TIMESTAMP
          • DATEADD
          • DATEDIFF
          • DATEFROMPARTS
          • DATENAME
          • DATEPART
          • DAY
          • GETDATE
          • GETUTCDATE
          • ISDATE
          • MONTH
          • SYSDATETIME
          • YEAR
        • Advance Functions
          • CASE
          • CAST
          • COALESCE
          • CONVERT
          • CURRENT_USER
          • LEAD
          • LAG
          • IIF
          • ISNULL
          • ISNUMERIC
          • NULLIF
          • SESSION_USER
          • SESSIONPROPERTY
          • SYSTEM_USER
          • USER_NAME
      • SQL Best Practice
      • Execution Plan
      • Optimize query execution
    • Advanced
      • CTE
      • Window function
      • Performance Tuning
        • Query tuning
        • Interview ques
      • DB Sharding
      • Concurrency Control
        • Optimistic lock
        • Pessimistic lock
      • Compare DELETE VS TRUNCATE
    • Comparation
      • Oracle vs SQL Server vs Postgre vs Mysql
  • Javascript
    • ES6 Techniques
      • Hoisting
      • Destructing
      • Spread Operator
      • Rest Operator
    • Basic
      • Const vs Let vs Var
      • Debounce & Throttle
      • Callback()
    • 5 ways to define a function
  • Clean code
    • Page 2
  • Search Engine
    • Elastic Search
      • Interview question
      • Code Example
    • Solr
    • IBM Watson Discovery
    • Google Cloud Search
    • Coveo Relevance Cloud
  • Cloud Service
    • Overview
    • Azure
      • Certificate
        • AZ-900
          • Describe cloud concepts
            • What is Cloud Computing?
            • Benefits of using cloud services
              • High Availability and Scalability
              • High Elasticity
              • High Reliability and Predictability
              • High Security and Governance
              • High manageability
            • IaaS vs PaaS vs SaaS
            • Cloud Deployment Models
            • CAPEX vs OPEX
          • Describe Azure architecture and services
            • Describe the core architectural components of Azure
              • Learn sandbox
              • Azure physical infrastructure
              • Azure management infrastructure
              • Create an Azure resource
            • Describe Azure compute and networking services
              • Azure Virtual Machines
              • Create an Azure Virtual Machine
              • Azure Virtual Desktop
              • Azure Containers
              • Azure Function
              • Describe application hosting options
              • Configure network access
              • Describe Azure Virtual Networking
              • Azure Virtual Private Networks
              • Azure ExpressRoute
              • Azure DNS
            • Describe Azure storage services
              • Azure storage accounts
              • Azure storage redundancy
              • Azure storage services
              • Create a storage blob
              • Identify Azure data migration options
              • Identify Azure file movement options
            • Describe Azure identity, access, and security
              • Azure directory services
              • Azure authentication methods
              • Azure external identities
              • Azure conditional access
              • Azure role-based access control
              • Zero trust model
              • Defense-in-depth
              • Microsoft Defender for Cloud
          • Describe Azure management and governance
            • Describe cost management in Azure
              • Factors that can affect costs in Azure
              • Compare the Pricing and Total Cost of Ownership calculators
              • Estimate workload costs by using the Pricing calculator
              • Compare workload costs using the TCO calculator
              • Azure Cost Management tool
            • Describe features and tools in Azure for governance and compliance
              • Azure Blueprints
              • Azure Policy
              • Purpose of resource locks
              • Configure a resource lock
              • Service Trust portal
            • Describe features and tools for managing and deploying Azure resources
              • Tools for interacting with Azure
              • Azure Arc
              • Azure Resource Manager and Azure ARM templates
            • Describe monitoring tools in Azure
              • Azure Advisor
              • Azure Service Health
              • Azure Monitor
        • SC-900
          • Describe the concepts of security, compliance, and identity
            • Describe security and compliance concepts
              • Shared responsibility model
              • Defense in depth
              • Zero Trust model
              • Encryption and hashing
              • Compliance concepts
            • Describe identity concepts
              • Authentication and authorization
              • Identity as the primary security perimeter
              • Role of the identity provider
              • Directory services and Active Directory
              • Federation
          • Describe the capabilities of Microsoft Azure Active Directory, part of Microsoft Entra
            • Describe the services and identity types of Azure AD
              • Azure Active Directory
              • Available Azure AD editions
              • Azure AD identity types
              • Types of external identities
              • Concept of hybrid identity
            • Describe the authentication capabilities of Azure AD
              • Authentication methods available in Azure AD
              • Multi-factor authentication (MFA) in Azure AD
              • Self-service password reset (SSPR) in Azure AD
              • Password protection and management capabilities of Azure AD
            • Describe the access management capabilities of Azure AD
              • Conditional Access in Azure AD
              • Benefits of Azure AD roles and role-based access control
            • Describe the identity protection and governance capabilities of Azure AD
              • Identity governance in Azure AD
              • Entitlement management and access reviews
              • Privileged identity Management
              • Azure Identity Protection
          • Describe the capabilities of Microsoft security solutions
            • Describe basic security capabilities in Azure
              • Azure DDoS protection
              • Azure Firewall
              • Web Application Firewall
              • Network segmentation in Azure
              • Azure Network Security groups
              • Azure Bastion and JIT Access
              • Describe ways Azure encrypts data
            • Describe security management capabilities of Azure
              • Cloud security posture management
              • Microsoft Defender for Cloud
              • Enhanced security of Microsoft Defender for Cloud
              • Microsoft cloud security benchmark and security baselines for Azure
            • Describe security capabilities of Microsoft Sentinel
              • SIEM and SOAR
              • How Microsoft Sentinel provides integrated threat management
              • Understand Sentinel costs
            • Describe threat protection with Microsoft 365 Defender
              • Microsoft 365 Defender services
              • Microsoft Defender for Office 365
              • Microsoft Defender for Endpoint
              • Microsoft Defender for Cloud Apps
              • Microsoft Defender for Identity
              • Microsoft 365 Defender portal
          • Describe the capabilities of Microsoft compliance solutions
            • Describe the Service Trust Portal and privacy at Microsoft
              • Service Trust Portal
              • Microsoft's privacy principles
              • Microsoft Priva
            • Describe the compliance management capabilities in Microsoft Purview
              • Microsoft Purview compliance portal
              • Compliance Manager
              • Describe use and benefits of compliance score
            • Describe information protection and data lifecycle management in Microsoft Purview
              • Know your data, protect your data, and govern your data
              • Data classification capabilities of the compliance portal
              • Sensitivity labels and policies
              • Data loss prevention
              • Retention policies and Retention labels
              • Records management
            • Describe insider risk capabilities in Microsoft Purview
              • Risk management
              • Communication compliance
              • Information barriers
            • Describe the eDiscovery and audit capabilities of Microsoft Purview
              • eDiscovery solutions in Microsoft Purview
              • Audit solutions in Microsoft Purview
            • Describe resource governance capabilities in Azure
              • Azure Policy
              • Azure Blueprints
              • Capabilities in the Microsoft Purview governance portal
        • DP-900
          • Core Concept
            • Explore core data concepts
              • Data formats
              • File storage
              • Databases
              • Transactional data processing
              • Analytical data processing
            • Explore data roles and services
              • Job roles in the world of data
              • Identify data services
          • Relational Data in Azure
            • Explore fundamental relational data concepts
              • Relational data
              • Normalization
              • SQL
              • Database objects
            • Explore relational database services in Azure
              • Azure SQL services and capabilities
              • Azure services for open-source databases
              • Exercise: Explore Azure relational database services
          • Non-relational data in Azure
            • Explore Azure Storage for non-relational data
              • Azure blob storage
              • Azure DataLake Storage Gen2
              • Azure Files
              • Azure Tables
              • Exercise: Explore Azure Storage
            • Explore fundamentals of Azure Cosmos DB
              • Azure Cosmos DB
              • Identify Azure Cosmos DB APIs
              • Exercise: Explore Azure Cosmos DB
          • Data analytics in Azure
            • Explore fundamentals of large-scale data warehousing
              • Data warehousing architecture
              • Data ingestion pipelines
              • Analytical data stores
              • Exercise: Explore data analytics in Azure with Azure Synapse Analytics
            • Explore fundamentals of real-time analytics
              • Understand batch and stream processing
              • Explore common elements of stream processing architecture
              • Azure Stream Analytics
              • Exercise: Explore Azure Stream Analytics Completed
              • Apache Spark on Microsoft Azure
              • Exercise: Explore Spark Streaming in Azure Synapse Analytics Completed
            • Explore fundamentals of data visualization
              • Power BI tools and workflow
              • Core concepts of data modeling
              • Considerations for data visualization
              • Exercise – Explore fundamentals of data visualization with Power BI Completed
        • AI-900
      • Azure Subscription
      • Azure App Service
      • Azure Dictionary B2C
      • Azure Front Door
      • Azure Traffic Manager
      • Azure Load Balancer
      • Azure KeyVault
      • API Management
      • Azure Logic Apps
      • Azure Metric and Logs
      • Azure Workbooks
      • Azure Messaging Services
      • Azure Service Fabric
      • Comparison
        • Durable Function vs Logic App
        • Storage queues vs Service Bus queues
        • Event Grid vs Service Bus
    • AWS
      • Certificate
        • CLF-C02
          • Cloud Concepts
            • Cloud Computing
            • The Deployment Models of the Cloud
            • The Five Characteristics of Cloud Computing
            • Six Advantages of Cloud Computing
            • Problems solved by the Cloud
            • Types of Cloud Computing
            • Pricing of the Cloud
            • AWS Global Infrastructure
              • AWS Regions
              • AWS Availability Zones
              • AWS Points of Presence (Edge Locations)
            • Tour of the AWS Console
            • Shared Responsibility Model diagram
          • Security & Compliance
            • AWS Shared Responsibility Model
            • DDOS
            • Network Firewall
            • Penetration Testing on AWS Cloud
            • Encryption
            • AWS Certificate Manager (ACM)
            • AWS Secrets Manager
            • AWS Artifact (not really a service)
            • Amazon GuardDuty
            • Amazon Inspector
            • AWS Config
            • AWS Macie
            • AWS Security Hub
            • Amazon Detective
            • AWS Abuse
            • Root user privileges
            • IAM Access Analyzer
            • Summary
            • Advanced Identity
              • STS
              • Cognito
              • Directory Services
              • IAM Identity Center
              • Summary
          • Cloud Technology & Services
            • IAM
              • IAM: Users & Groups
              • IAM: Permissions
              • IAM Policies inheritance
              • IAM Policies Structure
              • IAM – Password Policy
              • Multi-Factor Authentication - MFA
              • How can users access AWS?
                • AWS CLI
                • AWS SDK
              • IAM Roles for Services
              • IAM Security Tools
              • IAM Guidelines & Best Practices
              • Shared Responsibility Model for IAM
              • Summary
            • EC2
              • Overview
              • EC2 Instance Types
                • Overview
                • General Purpose
                • Compute Optimized
                • Memory Optimized
                • Storage Optimized
                • Example
              • Security Groups
              • SSH in EC2
              • EC2 Instance Purchasing Options
                • On-Demand Instances
                • Reserved Instances
                • Savings Plans
                • Spot Instances
                • Dedicated Hosts
                • Dedicated Instances
                • Capacity Reservations
                • Summary
              • EC2 Instance Storage
                • EBS
                • EBS Snapshot
                • AMI
                • EC2 Image Builder
                • EC2 Instance Store
                • EFS
                • Shared Responsibility Model for EC2 Storage
                • Amazon FSx
                • Summary
            • ELB & ASG
              • High Availability, Scalability, Elasticity
              • ELB
              • ASG
              • Summary
            • Amazon S3
              • Overview
              • Security
              • Techniques
              • Shared Responsibility Model for S3
              • AWS Snow Family
              • Summary
            • Database & Analytics
              • Overview
              • RDS & Aurora
              • Amazon ElastiCache
              • DynamoDB
              • Redshift
              • EMR
              • Amazon Athena
              • Amazon QuickSight
              • DocumentDB
              • Amazon Neptune
              • Amazon QLDB
              • Amazon Managed Blockchain
              • AWS Glue
              • DMS – Database Migration Service
              • Summary
            • Other Compute Service
              • Docker
              • ECS
              • Fargate
              • ECR
              • AWS Lamda
              • Amazon API Gateway
              • AWS Batch
              • Amazon Lightsail
              • Summary
                • Other Compute - Summary
                • Lambda Summary
            • Deploying and Managing Infrastructure
              • CloudFormation
              • CDK
              • Elastic Beanstalk
              • AWS CodeDeploy
              • AWS CodeCommit
              • AWS CodePipeline
              • AWS CodeArtifact
              • AWS CodeStar
              • AWS Cloud9
              • SSM
              • AWS OpsWorks
              • Summary
            • Global Infrastructure
              • Overview
              • Route 53
              • CloudFront
              • AWS Global Accelerator
              • AWS Outposts
              • AWS WaveLength
              • AWS Local Zones
              • Global Applications Architecture
              • Summary
            • Cloud Integration
              • Overview
              • SQS
              • Kinesis
              • SNS
              • MQ
              • Summary
            • Cloud Monitoring
              • CloudWatch
              • EventBridge
              • CloudTrail
              • X-Ray
              • CodeGuru
              • Health Dashboard
              • Summary
            • VPC
              • Overview
              • IP Addresses in AWS
              • VPC Diagram
              • Core networking
              • VPC Flow Logs
              • VPC Peering
              • VPC Endpoints
              • AWS PrivateLink (VPC Endpoint Services)
              • Site to Site VPN & Direct Connect
              • AWS Client VPN
              • Transit Gateway
              • Summary
            • Machine Learning
              • Rekognition
              • Transcribe
              • Polly
              • Translate
              • Lex & Connect
              • Comprehend
              • SageMaker
              • Forecast
              • Kendra
              • Personalize
              • Textract
              • Summary
            • Other Services
              • WorkSpaces
              • AppStream 2.0
              • IoT Core
              • Elastic Transcoder
              • AppSync
              • Amplify
              • Device Farm
              • Backup
              • Disaster Recovery Strategies
              • AWS Elastic Disaster Recovery (DRS)
              • DataSync
              • Application Discovery Service
              • Application Migration Service (MGN)
              • Migration Evaluator
              • Migration Hub
              • FIS
              • Step Functions
              • Ground Station
              • Pinpoint
          • Account Management, Billing & Support
            • Organizations
            • SCP
            • Control Tower
            • RAM
            • Service Catalog
            • Savings Plan
            • AWS Compute Optimizer
            • Billing and Costing Tools
            • Pricing Calculator
            • Tracking costs in cloud
              • Cost Explorer
            • Monitoring costs in the could
            • AWS Cost Anomaly Detection
            • AWS Service Quotas
            • Trusted Advisor
            • Support Plans
            • Summary
              • Account Best Practices
              • Billing and CostingTools
          • AWS Architecting & Ecosystem
            • General Guiding Principles
            • Well Architected Framework
              • Operational Excellence
              • Security
              • Reliability
              • Performance Efficiency
              • Cost Optimization
              • Sustainability
            • AWS CAF
            • AWS Right Sizing
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  • Introduction
  • Purpose is born
  • Structure
  • Advantages & disadvantages
  • When to use it
  • Applicability
  • How to Implement
  • Relations with Other Patterns
  1. Design Pattern
  2. Structural Design Patterns

Flyweight

Use sharing to support large numbers of fine-grained objects efficiently.

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Last updated 1 year ago

Introduction

  • Flyweight is a design pattern that belongs to the Structural Pattern group - design patterns that help ease design by defining a way to realize relationships between entities.

  • The Flyweight design pattern is a structural design pattern that allows you to fit more objects into the amount of available RAM by sharing and distributing public and private pieces of state among multiple objects instead of keeping all the data. in each object.

  • When many objects must be processed and the program cannot handle a huge amount of data, it is necessary to use a flyweight.

  • It is one of the Gang of Four designs.

  • Frequency of use: Low

Purpose is born

Problem

For example, you create an open world FPS game where players will move around the map and shoot each other. Added a lot of special effects, explosions, and lighting. Large amounts of bullets, missiles, and shrapnel from explosions will spread across the game world and bring an exciting experience to players.

After completing the game and send it to your friends to try it out. Although the game is running perfectly on your device, it cannot be played for long on other devices. The game keeps crashing after a few minutes of play. After a few hours of digging through the debug logs, you discover that the game crashes due to insufficient RAM. It turns out that the other device is much worse than your computer and that's why the problem appears so quickly on other machines.

For example, a bullet, a missile, or a piece of shrapnel is represented by a separate object that holds a lot of data. At some point, when the plethora of objects occurring on the player's screen peaks, the newly created objects no longer fill the remaining RAM, so the program crashes.

It's easy to guess, the reason is because each Particle class contains too much information: position, coordinates, vector, speed, color, sprite. Meanwhile, there are types of information that always change with each unit and types of information that are often the same between types of units. If one does not know about the flyweight pattern, one will have to give up and plan to raise the system requirements of the application - which is an unwise move.

Solution

Upon closer inspection of the Particle Class, you may notice that the color and sprite variables consume more memory than other fields. What's worse is that these two variables store almost identical data across all particles. For example, all bullets have the same color and sprite.

Like coordinates, motion vectors and speeds, are unique variables of each particle. The values ​​of these variables change over time. This data represents the ever-changing context in which that particle appears, while the color and sprite remain constant.

This constant data of an object is often called intrinsic state. It exists within the object; Other objects can only read it, not change it. The remainder of the object's state, which is often changed “externally” by other objects, is called the extrinsic state.

Extrinsic state storage

Where does the extrinsic state move to? Some class should still store it, right? In most cases, it gets moved to the container object, which aggregates objects before we apply the pattern.

In our case, that’s the main Game object that stores all particles in the particles field. To move the extrinsic state into this class, you need to create several array fields for storing coordinates, vectors, and speed of each individual particle. But that’s not all. You need another array for storing references to a specific flyweight that represents a particle. These arrays must be in sync so that you can access all data of a particle using the same index.

A more elegant solution is to create a separate context class that would store the extrinsic state along with reference to the flyweight object. This approach would require having just a single array in the container class.

Wait a second! Won’t we need to have as many of these contextual objects as we had at the very beginning? Technically, yes. But the thing is, these objects are much smaller than before. The most memory-consuming fields have been moved to just a few flyweight objects. Now, a thousand small contextual objects can reuse a single heavy flyweight object instead of storing a thousand copies of its data.

Flyweight and immutability

Since the same flyweight object can be used in different contexts, you have to make sure that its state can’t be modified. A flyweight should initialize its state just once, via constructor parameters. It shouldn’t expose any setters or public fields to other objects.

Flyweight factory

For more convenient access to various flyweights, you can create a factory method that manages a pool of existing flyweight objects. The method accepts the intrinsic state of the desired flyweight from a client, looks for an existing flyweight object matching this state, and returns it if it was found. If not, it creates a new flyweight and adds it to the pool.

There are several options where this method could be placed. The most obvious place is a flyweight container. Alternatively, you could create a new factory class. Or you could make the factory method static and put it inside an actual flyweight class.

Structure

Components in the model:

  • The Flyweight model is merely an optimization of the system. Before applying it, make sure that the program has RAM consumption problems related to having a large number of similar objects in memory at the same time.

  • The Flyweight class contains a portion of an object's initial state that can be shared among multiple objects. The same flyweight object can be used in many different contexts. The state stored inside a flyweight is called “intrinsic”. The state passed to flyweight methods is called “extrinsic”.

  • Class Context contains extrinsic state. When a context is paired with one of the flyweight objects, it represents the full state of the original object.

  • Normally, the original object's behavior still belongs to the Flyweight class. In this case, whenever calling a flyweight method, the appropriate values ​​of the extrinsic state must be passed into the method's parameters. Otherwise, the behavior can be passed to the Context class, which will use the associated flyweight merely as a data object

  • Client ( Classes that use Flyweight ) calculates or stores the extrinsic state of Flyweights. From a client perspective, Flyweight is a template object that can be configured at runtime by passing some contextual data into the parameters of its methods.

  • Flyweight Factory manages a fleet of existing flyweights. Clients will not generate flyweights directly. Instead, they call the factory, passing it the desired intrinsic state of the flyweight. factory looks at previously created flyweights and returns an existing one that matches the search criteria, or creates a new one if none is found.

In this example, the Flyweight Pattern helps reduce memory usage when needing to display millions of tree objects on the canvas.

At this point, each Tree object only has a location field and a type field, including TreeType objects. From there, trees with the same type will use the same TreeType object to help solve memory problems. In addition, the application also has a TreeFactory to easily manage TreeTypes.

Advantages & disadvantages

Advantage

  • Reduce the number of objects created by sharing objects. Thus saving memory and necessary storage devices

  • Improved data caching capabilities because of fast response times

  • Increase system performance

Disadvantage

  • Trade-off in terms of CPU usage when flyweight objects are accessed multiple times.

  • Code becomes much more complex. New team members will always wonder why an entity's state is separated in such a way. Understandability is low

When to use it

Flyweight is used when:

  • When there are a large number of objects created repeatedly by the application.

  • When object creation requires a lot of memory and time

  • When you want to reuse an existing object instead of having to spend time creating a new one

  • When a group of objects contains many similar objects and the two objects in the group are not much different

Applicability

Use the Flyweight pattern only when your program must support a huge number of objects which barely fit into available RAM.

The benefit of applying the pattern depends heavily on how and where it’s used. It’s most useful when:

  • an application needs to spawn a huge number of similar objects

  • this drains all available RAM on a target device

  • the objects contain duplicate states which can be extracted and shared between multiple objects

How to Implement

  1. Divide fields of a class that will become a flyweight into two parts:

    • the intrinsic state: the fields that contain unchanging data duplicated across many objects

    • the extrinsic state: the fields that contain contextual data unique to each object

  2. Leave the fields that represent the intrinsic state in the class, but make sure they’re immutable. They should take their initial values only inside the constructor.

  3. Go over methods that use fields of the extrinsic state. For each field used in the method, introduce a new parameter and use it instead of the field.

  4. Optionally, create a factory class to manage the pool of flyweights. It should check for an existing flyweight before creating a new one. Once the factory is in place, clients must only request flyweights through it. They should describe the desired flyweight by passing its intrinsic state to the factory.

  5. The client must store or calculate values of the extrinsic state (context) to be able to call methods of flyweight objects. For the sake of convenience, the extrinsic state along with the flyweight-referencing field may be moved to a separate context class.

Relations with Other Patterns

    1. There should be only one Singleton instance, whereas a Flyweight class can have multiple instances with different intrinsic states.

    2. The Singleton object can be mutable. Flyweight objects are immutable.

You can implement shared leaf nodes of the tree as to save some RAM.

shows how to make lots of little objects, whereas shows how to make a single object that represents an entire subsystem.

would resemble if you somehow managed to reduce all shared states of the objects to just one flyweight object. But there are two fundamental differences between these patterns:

Composite
Flyweights
Flyweight
Facade
Flyweight
Singleton
Flyweight pattern solution