💻
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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On this page
  • What is Test Driven Development (TDD)?
  • How to perform TDD Test
  • Some clarifications about TDD:
  • TDD Vs. Traditional Testing
  • What are acceptance TDD and Developer TDD?
  • Scaling TDD via Agile Model Driven Development (AMDD)
  • Test Driven Development (TDD) Vs. Agile Model Driven Development (AMDD)
  • TDD Frameworks
  • Advantages of TDD
  • Confidence to Refactor
  • Summary
  1. Software Development Life Cycle (SDLF)
  2. Agile
  3. Methods
  4. Xtreme Programming

TDD

Test Driven Development

PreviousXtreme ProgrammingNextBDD

Last updated 11 months ago

What is Test Driven Development (TDD)?

Test Driven Development (TDD) is a software development approach in which test cases are developed to specify and validate what the code will do. In simple terms, test cases for each functionality are created and tested first and if the test fails then the new code is written in order to pass the test and make the code simple and bug-free.

Test-Driven Development starts with designing and developing tests for every small functionality of an application. TDD framework instructs developers to write new code only if an automated test has failed. This avoids duplication of code. The TDD full form is Test-driven development.

The simple concept of TDD is to write and correct the failed tests before writing new code (before development). This helps to avoid duplication of code as we write a small amount of code at a time in order to pass tests. (Tests are nothing but requirement conditions that we need to test to fulfill them).

Test-Driven development is a process of developing and running automated tests before the actual development of the application. Hence, TDD is sometimes also called Test First Development.

How to perform TDD Test

The following steps define how to perform the TDD test,

  1. Add a test.

  2. Run all tests and see if any new test fails.

  3. Write some code.

  4. Run tests and Refactor code.

  5. Repeat.

Some clarifications about TDD:

  • TDD approach is neither about “Testing” nor about “Design”.

  • TDD does not mean “write some of the tests, then build a system that passes the tests.

  • TDD does not mean “do lots of Testing.”

TDD Vs. Traditional Testing

Below is the main difference between Test driven development and traditional testing:

TDD approach is primarily a specification technique. It ensures that your source code is thoroughly tested at a confirmatory level.

  • With traditional testing, a successful test finds one or more defects. It is the same as TDD. When a test fails, you have made progress because you know that you need to resolve the problem.

  • TDD ensures that your system actually meets the requirements defined for it. It helps to build your confidence in your system.

  • In TDD more focus is on production code that verifies whether testing will work properly. In traditional testing, more focus is on test case design. Whether the test will show the proper/improper execution of the application in order to fulfill requirements.

  • In TDD, you achieve 100% coverage test. Every single line of code is tested, unlike traditional testing.

  • The combination of both traditional testing and TDD leads to the importance of testing the system rather than the perfection of the system.

  • In Agile Modeling (AM), you should “test with a purpose”. You should know why you are testing something and what level its needs to be tested.

What are acceptance TDD and Developer TDD?

There are two levels of TDD

  1. Acceptance TDD (ATDD): With ATDD you write a single acceptance test. This test fulfills the requirement of the specification or satisfies the behavior of the system. After that write just enough production/functionality code to fulfill that acceptance test. Acceptance test focuses on the overall behavior of the system. ATDD also was known as Behavioral Driven Development (BDD).

  2. Developer TDD: With Developer TDD you write a single developer test i.e. unit test and then just enough production code to fulfill that test. The unit test focuses on every small functionality of the system. Developer TDD is simply called TDD. The main goal of ATDD and TDD is to specify detailed, executable requirements for your solution on a just-in-time (JIT) basis. JIT means taking only those requirements into consideration that are needed in the system. To increase efficiency.

Scaling TDD via Agile Model Driven Development (AMDD)

TDD is very good at detailed specification and validation. It fails at thinking through bigger issues such as overall design, use of the system, or UI. AMDD addresses the Agile scaling issues that TDD does not.

Thus AMDD is used for bigger issues.

The lifecycle of AMDD

In Model-driven Development (MDD), extensive models are created before the source code is written. Which in turn has an agile approach?

In the above figure, each box represents a development activity.

Envisioning is one of the TDD processes of predicting/imagining tests which will be performed during the first week of the project. The main goal of envisioning is to identify the scope of the system and the architecture of the system. High-level requirements and architecture modeling is done for successful envisioning.

It is the process where not a detailed specification of software/system is done but exploring the requirements of software/system which defines the overall strategy of the project.

Iteration 0: Envisioning

There are two main sub-activates.

  1. Initial requirements envisioning. It may take several days to identify high-level requirements and the scope of the system. The main focus is to explore the usage model, Initial domain model, and user interface model (UI).

  2. Initial Architectural envisioning. It also takes several days to identify the architecture of the system. It allows for setting technical directions for the project. The main focus is to explore technology diagrams, User Interface (UI) flow, domain models, and Change cases.

Iteration modeling

The team must plan the work that will be done for each iteration.

  • An agile process is used for each iteration, i.e. during each iteration, a new work item will be added with priority.

  • First higher prioritized work will be taken into consideration. Work items added may be reprioritized or removed from the items stack at any time.

  • The team discusses how they are going to implement each requirement. Modeling is used for this purpose.

  • Modeling analysis and design are done for each requirement that is going to implement for that iteration.

Model storming

This is also known as Just in time Modeling.

  • Here modeling session involves a team of 2/3 members who discuss issues on paper or whiteboard.

  • One team member will ask another to model with them. This modeling session will take approximately 5 to 10 minutes. Where team members gather together to share whiteboard/paper.

  • They explore issues until they don’t find the main cause of the problem. Just in time, if one team member identifies the issue which he/she wants to resolve then he/she will take quick help of other team members.

  • Other group members then explore the issue and then everyone continues on as before. It is also called as stand-up modeling or customer QA sessions.

Test Driven Development (TDD)

  • It promotes confirmatory testing of your application code and detailed specification.

  • Both acceptance tests (detailed requirements) and developer tests (unit test) are inputs for TDD.

  • TDD makes the code simpler and clear. It allows the developer to maintain less documentation.

Reviews

  • This is optional. It includes code inspections and model reviews.

  • This can be done for each iteration or for the whole project.

  • This is a good option to give feedback on the project.

Test Driven Development (TDD) Vs. Agile Model Driven Development (AMDD)

TDD
AMDD

TDD shortens the programming feedback loop

AMDD shortens modeling feedback loop.

TDD is detailed specification

AMDD works for bigger issues

TDD promotes the development of high-quality code

AMDD promotes high-quality communication with stakeholders and developers.

TDD speaks to programmers

TDD non-visually oriented

AMDD visually oriented

TDD has limited scope to software works

AMDD has a broad scope including stakeholders. It involves working towards a common understanding

Both support evolutionary development

——————————————–

TDD Frameworks

Here is the list of best test-driven development (TDD) frameworks

  1. Junit

  2. TestNG

  3. csUnit and NUnit

  4. Rspec

Now, let’s learn Test Driven Development by example.

Example of TDD

Here in this Test Driven Development example, we will define a class password. For this class, we will try to satisfy following conditions.

A condition for Password acceptance:

  • The password should be between 5 to 10 characters.

First, in this TDD example, we write the code that fulfills all the above requirements.

Scenario 1: To run the test, we create the class PasswordValidator ();

We will run the above class TestPassword ();

Output is PASSED as shown below;

Output:

Scenario 2: Here we can see in the method TestPasswordLength () there is no need of creating an instance of class PasswordValidator. Instance means creating an object of class to refer the members (variables/methods) of that class.

We will remove class PasswordValidator pv = new PasswordValidator () from the code. We can call the isValid () method directly by PasswordValidator. IsValid (“Abc123”). (See image below)

So we Refactor (change code) as below:

Scenario 3: After refactoring the output shows failed status (see image below) this is because we have removed the instance. So there is no reference to non –static method isValid ().

So we need to change this method by adding “static” word before Boolean as public static boolean isValid (String password). Refactoring Class PasswordValidator () to remove above error to pass the test.

Output:

After making changes to class PassValidator () if we run the test then the output will be PASSED as shown below.

Advantages of TDD

The following are the main advantages of Test Driven Development in Software Engineering:

Early bug notification.

  • Developers test their code but in the database world, this often consists of manual tests or one-off scripts. Using TDD you build up, over time, a suite of automated tests that you and any other developer can rerun at will.

Better Designed, cleaner and more extensible code.

  • It helps to understand how the code will be used and how it interacts with other modules.

  • It results in better design decisions and more maintainable code.

  • TDD allows writing smaller code having single responsibility rather than monolithic procedures with multiple responsibilities. This makes the code simpler to understand.

  • TDD also forces to write only production code to pass tests based on user requirements.

Confidence to Refactor

  • If you refactor code, there can be possibilities of breaks in the code. So having a set of automated tests you can fix those breaks before release. Proper warning will be given if breaks found when automated tests are used.

  • Using TDD, should results in faster, more extensible code with fewer bugs that can be updated with minimal risks.

Good for teamwork

  • In the absence of any team member, other team members can easily pick up and work on the code. It also aids knowledge sharing, thereby making the team more effective overall.

Good for Developers

  • Though developers have to spend more time in writing TDD test cases, it takes a lot less time for debugging and developing new features. You will write cleaner, less complicated code.

Summary

  • TDD stands for Test-driven development.

  • TDD meaning: It is a process of modifying the code in order to pass a test designed previously.

  • It more emphasis on production code rather than test case design.

  • Test-driven development is a process of modifying the code in order to pass a test designed previously.

  • In Software Engineering, It is sometimes known as “Test First Development.”

  • TDD testing includes refactoring a code i.e. changing/adding some amount of code to the existing code without affecting the behavior of the code.

  • TDD programming when used, the code becomes clearer and simple to understand.

Test Driven Development (TDD): Learn with Example

AMDD talks to , stakeholders, and data professionals.

Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
Test Driven Development (TDD): Learn with Example
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