💻
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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  • What is Kubernetes Services?
  • ClusterIP
  • NodePort
  • LoadBalancer
  • Ingress resource
  1. Devops
  2. Kubernetes

Kubernetes Services

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Last updated 1 year ago

What is Kubernetes Services?

Being a resource will create a single, constant point of a group of Pods behind it. Each service will have a constant IP address and port, unless we delete it and create it again. The client will open a connection to the service, and that connection will be directed to one of the Pods in the background.

So what problems does service help us with? Each Pod also has its own IP address, so why don't we call it directly instead of going through the service without wasting time? To answer these questions, we will go over a few issues.

Pods are ephemeral

This means that a Pod is a very ephemeral resource, it will be created, deleted, and replaced with another at any time. Maybe when we want to change a different template for the Pod, the old Pod will be deleted. and the new Pod will be created. Or in case a woker node dies, the Pod on that worker node will also die, and a new Pod will be created on another woker node.

When creating a new pod, it will have a different IP from the old one. If we use the Pod's IP to create a connection to the client, then when the Pod is replaced with another IP, we must update the code.

Multiple Pod run same application

This means we will have many pods running one of our applications to increase performance. For example, when we use ReplicaSet with replicas = 3, it will create 3 Pods. So how do we know which Pod to send requests to?

To solve the above problems, Kubernetes provides us with Services resource , the Service will create a constant endpoint for the Pods behind, the client only needs to interact with this endpoint.

How does the service manage connection?

How does the Service know which Pod it will choose to manage connections to those Pods, if you remember label selectors from previous articles and how ReplicaSet uses labels to manage Pods. Services will also use label selectors to select the Pod that manages the connection.

Sample config

apiVersion: v1
kind: Service
metadata:
  name: hello
spec:
  selector:
    app: hello-kube # label selectors Pod
  ports:
    - port: 80 # port of the serivce
      targetPort: 3000 # port of the container that service will forward to 

Service will have 4 basic types:

  • ClusterIP

  • NodePort

  • ExternalName

  • LoadBalancer

ClusterIP

This type of service will create an IP and local DNS that will be accessible inside the cluster, not accessible from the outside, used mainly for Pods inside the cluster to easily communicate with each other.

For example, we have an application that needs to use redis, we will deploy a redis Pod and our application needs to connect to that redis Pod. With redis, its connection string will look like this redis://<host-name>:<port>, so how will our application connect to redis? Next we will make an example of creating Pod redis and Service for it.

Create a file named hello-service.yaml

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: redis
spec:
  replicas: 1
  selector:
    matchLabels:
      app: redis
  template:
    metadata:
      labels:
        app: redis
    spec:
      containers:
      - image: redis # redis image
        name: redis
        ports:
          - containerPort: 6379

---
apiVersion: v1
kind: Service
metadata:
  name: redis
spec:
  selector:
    app: redis # label selectors Pod redis
  ports:
    - port: 6379 # port of the serivce
      targetPort: 6379 # port of the container that service will forward to 

kubectl apply -f hello-service.yaml

Now our redis will have the following access address redis://10.100.255.140:6379 . We can see that the hostname of our service here is 10.100.255.140 , we can use this address so that applications we deploy later can access the redis host.

So if we have applications already running, how can we connect to this host, or do we have to update the code? So to solve this problem, instead of accessing the redis host via IP, we can access it via DNS, kubernes provides us with a local DNS inside the cluster, helping us connect to our host. want to go through DNS. We can connect to redis with the following address redis://redis:6379 , with host name being the name of the Service we put in the metadata field .

Test the service. You can create a Pod to test using the config file

apiVersion: v1
kind: Pod
metadata:
  name: application
spec:
  containers:
    - image: 080196/hello-redis
      name: application

Or create using cli for quick

kubectl run hello-redis --image=080196/hello-redis

This is the application code in 080196/hello-redis image

const redis = require("redis");

const client = redis.createClient("redis://redis:6379")

client.on("connect", () => {
  console.log("Connect redis success");
})

Check the pod's log, if it prints Connect redis success , we have connected to the redis host using DNS

kubectl logs hello-redis

Clear resource

kubectl delete pod hello-redis
kubectl delete -f hello-service.yaml

ClusterIP helps applications deployed in our cluster communicate with each other much easier. What if we want external clients to be able to access our application? There are 3 ways: using NodePort, LoadBalancer (supports cloud), Ingress.

NodePort

This is the first way to expose the Pod so that external clients can access the Pod inside the cluster. Like ClusterIP, NodePort will also create an accessible endpoint inside the cluster by IP and DNS, and it will use a port of the entire worker node so that external clients can communicate with our Pod via through that port. NodePort will have a default range from 30000 - 32767. For example:

apiVersion: v1
kind: Service
metadata:
  name: hello
spec:
  selector:
    app: hello-kube
  type: NodePort # type NodePort
  ports:
    - port: 80
      targetPort: 8080
      nodePort: 30123 # port of the worker node

Clients can send requests to Pod using the address 130.211.97.55:30123 or 130.211.99.206:30123 . And the application inside the cluster can send requests to the Pod with the address http://hello-kube

Now let's create a NodePort service. Create a file named hello-nodeport.yaml

apiVersion: apps/v1
kind: ReplicaSet
metadata:
  name: hello-rs
spec:
  replicas: 2
  selector:
    matchLabels:
      app: hello-kube
  template:
    metadata:
      labels:
        app: hello-kube
    spec:
      containers:
      - image: 080196/hello-kube
        name: hello-kube
        ports:
          - containerPort: 3000

---
apiVersion: v1
kind: Service
metadata:
  name: hello
spec:
  selector:
    app: hello-kube
  type: NodePort
  ports:
    - port: 3000
      targetPort: 3000
      nodePort: 31000

kubectl apply -f hello-nodeport.yaml

Test sends request to Pod with addresshttp://<your_worker_node_ip>:<node_port>

LoadBalancer

When you run kubernetes on the cloud, it will support LoadBalancer Service. If you run on an environment that does not support LoadBalancer, you cannot create this type of Service. When you create a LoadBalancer Service, it will create a public IP for us, so that clients can access the Pod inside the Cluster using this public IP address. For example

apiVersion: v1
kind: Service
metadata:
  name: kubia-loadbalancer
spec:
  selector:
    app: kubia
  type: LoadBalancer
  ports:
    - port: 80
      targetPort: 8080

Ingress resource

Ingress is a resource that allows us to expose HTTP and HTTPS routes from outside the cluster to services inside our cluster. Ingress will help us assign an actual domain to a service inside the cluster. For example:

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: kubia
spec:
  rules:
    - host: kubia.example.com # domain name
  http:
    paths:
      - path: /
        backend:
          serviceName: kubia-nodeport # name of the service inside cluster
          servicePort: 80

We can also map multiple services to the same domain. For example:

apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: kubia
spec:
  rules:
    - host: kubia.example.com
  http:
    paths:
      - path: /bar
        backend:
          serviceName: kubia-bar
          servicePort: 80
      - path: /foo
        backend:
          serviceName: kubia-foo
          servicePort: 80

Ingress is the most useful resource to expose Pod's HTTP and HTTPS to the outside. You can read more about Ingress .

here