💻
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
            • AWS Ecosystem
      • Comparison
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On this page
  • Compare Azure SQL services
  • SQL Server on Azure Virtual Machines
  • Azure SQL Database Managed Instance
  • Azure SQL Database
  1. Cloud Service
  2. Azure
  3. Certificate
  4. DP-900
  5. Relational Data in Azure
  6. Explore relational database services in Azure

Azure SQL services and capabilities

Azure SQL is a collective term for a family of Microsoft SQL Server-based database services in Azure. Specific Azure SQL services include:

  • SQL Server on Azure Virtual Machines (VMs) - A virtual machine running in Azure with an installation of SQL Server. The use of a VM makes this option an infrastructure-as-a-service (IaaS) solution that virtualizes hardware infrastructure for computing, storage, and networking in Azure; making it a great option for "lift and shift" migration of existing on-premises SQL Server installations to the cloud.

  • Azure SQL Managed Instance - A platform-as-a-service (PaaS) option that provides near-100% compatibility with on-premises SQL Server instances while abstracting the underlying hardware and operating system. The service includes automated software update management, backups, and other maintenance tasks, reducing the administrative burden of supporting a database server instance.

  • Azure SQL Database - A fully managed, highly scalable PaaS database service that is designed for the cloud. This service includes the core database-level capabilities of on-premises SQL Server and is a good option when you need to create a new application in the cloud.

  • Azure SQL Edge - A SQL engine that is optimized for Internet-of-things (IoT) scenarios that need to work with streaming time-series data.

Note

Azure SQL Edge is included in this list for completeness. We'll focus on the other options for more general relational database scenarios in this module.

Compare Azure SQL services

SQL Server on Azure VMs
Azure SQL Managed Instance
Azure SQL Database

Type of cloud service

IaaS

PaaS

PaaS

SQL Server compatibility

Fully compatible with on-premises physical and virtualized installations. Applications and databases can easily be "lift and shift" migrated without change.

Supports most core database-level capabilities of SQL Server. Some features depended on by an on-premises application may not be available.

Architecture

SQL Server instances are installed in a virtual machine. Each instance can support multiple databases.

Each managed instance can support multiple databases. Additionally, instance pools can be used to share resources efficiently across smaller instances.

You can provision a single database in a dedicated, managed (logical) server; or you can use an elastic pool to share resources across multiple databases and take advantage of on-demand scalability.

Availability

99.99%

99.99%

99.995%

Management

You must manage all aspects of the server, including operating system and SQL Server updates, configuration, backups, and other maintenance tasks.

Fully automated updates, backups, and recovery.

Fully automated updates, backups, and recovery.

Use cases

Use this option when you need to migrate or extend an on-premises SQL Server solution and retain full control over all aspects of server and database configuration.

Use this option for most cloud migration scenarios, particularly when you need minimal changes to existing applications.

Use this option for new cloud solutions, or to migrate applications that have minimal instance-level dependencies.

SQL Server on Azure Virtual Machines

SQL Server on Virtual Machines enables you to use full versions of SQL Server in the Cloud without having to manage any on-premises hardware. This is an example of the IaaS approach.

SQL Server running on an Azure virtual machine effectively replicates the database running on real on-premises hardware. Migrating from the system running on-premises to an Azure virtual machine is no different than moving the databases from one on-premises server to another.

This approach is suitable for migrations and applications requiring access to operating system features that might be unsupported at the PaaS level. SQL virtual machines are lift-and-shift ready for existing applications that require fast migration to the cloud with minimal changes. You can also use SQL Server on Azure VMs to extend existing on-premises applications to the cloud in hybrid deployments.

Note

A hybrid deployment is a system where part of the operation runs on-premises and part in the cloud. Your database might be part of a larger system that runs on-premises, although the database elements might be hosted in the cloud.

You can use SQL Server in a virtual machine to develop and test traditional SQL Server applications. With a virtual machine, you have full administrative rights over the DBMS and operating system. It's a perfect choice when an organization already has IT resources available to maintain the virtual machines.

These capabilities enable you to:

  • Create rapid development and test scenarios when you don't want to buy on-premises non-production SQL Server hardware.

  • Become lift-and-shift ready for existing applications that require fast migration to the cloud with minimal changes or no changes.

  • Scale up the platform on which SQL Server is running, by allocating more memory, CPU power, and disk space to the virtual machine. You can quickly resize an Azure virtual machine without the requirement that you reinstall the software that is running on it.

Business benefits

Running SQL Server on virtual machines allows you to meet unique and diverse business needs through a combination of on-premises and cloud-hosted deployments, while using the same set of server products, development tools, and expertise across these environments.

It's not always easy for businesses to switch their DBMS to a fully managed service. There may be specific requirements that must be satisfied in order to migrate to a managed service that requires making changes to the database and the applications that use it. For this reason, using virtual machines can offer a solution, but using them doesn't eliminate the need to administer your DBMS as carefully as you would on-premises.

Azure SQL Database Managed Instance

Azure SQL Managed instance effectively runs a fully controllable instance of SQL Server in the cloud. You can install multiple databases on the same instance. You have complete control over this instance, much as you would for an on-premises server. SQL Managed Instance automates backups, software patching, database monitoring, and other general tasks, but you have full control over security and resource allocation for your databases.

Managed instances depend on other Azure services such as Azure Storage for backups, Azure Event Hubs for telemetry, Azure Active Directory for authentication, Azure Key Vault for Transparent Data Encryption (TDE), and a couple of Azure platform services that provide security and supportability features. The managed instances make connections to these services.

All communications are encrypted and signed using certificates. To check the trustworthiness of communicating parties, managed instances constantly verify these certificates through certificate revocation lists. If the certificates are revoked, the managed instance closes the connections to protect the data.

Use cases

Consider Azure SQL Managed Instance if you want to lift and shift an on-premises SQL Server instance and all its databases to the cloud, without incurring the management overhead of running SQL Server on a virtual machine.

Business benefits

Azure SQL Managed Instance enables a system administrator to spend less time on administrative tasks because the service either performs them for you or greatly simplifies those tasks. Automated tasks include operating system and database management system software installation and patching, dynamic instance resizing and configuration, backups, database replication (including system databases), high availability configuration, and configuration of health and performance monitoring data streams.

Azure SQL Managed Instance has nearly 100% compatibility with SQL Server Enterprise Edition, running on-premises.

Azure SQL Managed Instance supports SQL Server Database engine logins and logins integrated with Azure Active Directory (AD). SQL Server Database engine logins include a username and a password. You must enter your credentials each time you connect to the server. Azure AD logins use the credentials associated with your current computer sign-in, and you don't need to provide them each time you connect to the server.

Azure SQL Database

Azure SQL Database is a PaaS offering from Microsoft. You create a managed database server in the cloud, and then deploy your databases on this server.

Note

An SQL Database server is a logical construct that acts as a central administrative point for multiple single or pooled databases, logins, firewall rules, auditing rules, threat detection policies, and failover groups.

Azure SQL Database is available as a Single Database or an Elastic Pool.

Single Database

This option enables you to quickly set up and run a single SQL Server database. You create and run a database server in the cloud, and you access your database through this server. Microsoft manages the server, so all you have to do is configure the database, create your tables, and populate them with your data. You can scale the database if you need more storage space, memory, or processing power. By default, resources are pre-allocated, and you're charged per hour for the resources you've requested. You can also specify a serverless configuration. In this configuration, Microsoft creates its own server, which might be shared by databases belonging to other Azure subscribers. Microsoft ensures the privacy of your database. Your database automatically scales and resources are allocated or deallocated as required.

Elastic Pool

This option is similar to Single Database, except that by default multiple databases can share the same resources, such as memory, data storage space, and processing power through multiple-tenancy. The resources are referred to as a pool. You create the pool, and only your databases can use the pool. This model is useful if you have databases with resource requirements that vary over time and can help you to reduce costs. For example, your payroll database might require plenty of CPU power at the end of each month as you handle payroll processing, but at other times the database might become much less active. You might have another database that is used for running reports. This database might become active for several days in the middle of the month as management reports are generated but with a lighter load at other times. Elastic Pool enables you to use the resources available in the pool, and then release the resources once processing has completed.

Use cases

Azure SQL Database gives you the best option for low cost with minimal administration. It isn't fully compatible with on-premises SQL Server installations. It's often used in new cloud projects where the application design can accommodate any required changes to your applications.

Note

You can use the Data Migration Assistant to detect compatibility issues with your databases that can impact database functionality in Azure SQL Database.

Azure SQL Database is often used for:

  • Modern cloud applications need to use the latest stable SQL Server features.

  • Applications that require high availability.

  • Systems with a variable load that need the database server to scale up and down quickly.

Business benefits

Azure SQL Database automatically updates and patches the SQL Server software to ensure that you're always running the latest and most secure version of the service.

The scalability features of Azure SQL Database ensure that you can increase the resources available to store and process data without having to perform a costly manual upgrade.

The service provides high availability guarantees, to ensure that your databases are available at least 99.995% of the time. Azure SQL Database supports point-in-time restore, enabling you to recover a database to the state it was in at any point in the past. Databases can be replicated to different regions to provide more resiliency and disaster recovery.

Advanced threat protection provides advanced security capabilities, such as vulnerability assessments, to help detect and remediate potential security problems with your databases. Threat protection also detects anomalous activities that indicate unusual and potentially harmful attempts to access or exploit your database. It continuously monitors your database for suspicious activities and provides immediate security alerts on potential vulnerabilities, SQL injection attacks, and anomalous database access patterns. Threat detection alerts provide details of the suspicious activity and recommend action on how to investigate and mitigate the threat.

Auditing tracks database events and writes them to an audit log in your Azure storage account. Auditing can help you maintain regulatory compliance, understand database activity, and gain insight into discrepancies and anomalies that might indicate business concerns or suspected security violations.

SQL Database helps secure your data by providing encryption that protects data that is stored in the database (at rest) and while it is being transferred across the network (in motion).

PreviousExplore relational database services in AzureNextAzure services for open-source databases

Last updated 1 year ago

Near-100% compatibility with SQL Server. Most on-premises databases can be migrated with minimal code changes by using the

Azure SQL Managed Instance provides features not available in Azure SQL Database (discussed below). If your system uses features such as linked servers, Service Broker (a message processing system that can be used to distribute work across servers), or Database Mail (which enables your database to send email messages to users), then you should use a managed instance. To check compatibility with an existing on-premises system, you can install . This tool analyzes your databases on SQL Server and reports any issues that could block migration to a managed instance.

Data Migration Assistant (DMA)
Azure Database Migration service
SQL Server Azure VM logo
Azure SQL Managed Instance logo
Azure SQL Database logo