💻
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
  • Specify environment variables for the container
  • ConfigMap
  • Secret
  1. Devops
  2. Kubernetes

Configuration

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Last updated 1 year ago

Specify environment variables for the container

The configuration of the application in a container is often communicated through environment variables (abbreviated env).

Kubernetes provides us with a way to pass a list of envs inside each Pod container. For example, we have an image 080196/hello-env with the following code:

const http = require("http");

const server = http.createServer((req, res) => {
  console.log("Hello env\n")
});

server.listen(process.env.PORT, () => {
  console.log("Server listen on port ", process.env.PORT)
})

In this image we have the PORT configuration of the application that will be passed inside the container through env PORT. Create a file named pod-hello-env.yaml with the following configuration:

apiVersion: v1
kind: Pod
metadata:
  name: hello-env
spec:
  containers:
    - image: 080196/hello-env
      name: hello-env
      ports:
        - containerPort: 3000
      env: # pass env to container
        - name: PORT # env name
          value: "3000" # env value

In this config file, we have specified an attribute named env, this is a Pod attribute that helps us pass env inside the container, with the name of env being PORT and its value will be 3000, note that the value env value is always a string , if you leave it as a number it will give an error. Now we create the Pod and check the log.

$ kubectl apply -f pod-hello-env.yaml
pod/hello-env created
$ kubectl logs hello-env
Server listen on port 3000

Here, our application runs correctly according to the PORT we passed into the container through env. You can check more closely by accessing the container and printing out its env as follows:

$ kubectl exec -it hello-env -- sh
/app # env | grep PORT
KUBERNETES_PORT=tcp://10.96.0.1:443
KUBERNETES_SERVICE_PORT=443
PORT=3000 // This is our env
KUBERNETES_PORT_443_TCP_ADDR=10.96.0.1
KUBERNETES_PORT_443_TCP_PORT=443
KUBERNETES_PORT_443_TCP_PROTO=tcp
KUBERNETES_PORT_443_TCP=tcp://10.96.0.1:443
KUBERNETES_SERVICE_PORT_HTTPS=443
/app # exit

Note that this env list will not be able to update inside the container when that container is already running. To update, we must delete the Pod to get it running again.

Using env to pass configuration inside the container is very easy, but as our application gets larger and needs more and more env, we will realize that specifying env directly in the Pod like this has many limitations. Firstly, our config file will be extremely long, secondly, if there are some envs we will use over and over again, we will copy and paste them in many places. For example:

apiVersion: v1
kind: Pod
metadata:
  name: hello-env
spec:
  containers:
    - image: 080196/hello-env
      name: hello-env
      ports:
        - containerPort: 3000
      env:
        - name: PORT
          value: "3000"
        - name: POSTGRES_DB
          value: postgres
        - name: POSTGRES_USER
          value: postgres
        - name: POSTGRES_PASSWORD
          value: postgres

---
apiVersion: v1
kind: Pod
metadata:
  name: postgres
spec:
  containers:
    - image: postgres
      name: postgres
      ports:
        - containerPort: 5432
      env:
        - name: POSTGRES_DB
          value: postgres
        - name: POSTGRES_USER
          value: postgres
        - name: POSTGRES_PASSWORD
          value: postgres

In this config file we have 2 Pods, one Pod runs the application and one Pod runs the database. We will see that the configuration related to database information will be repeated twice. When our application grows, it will need a lot more envs. At this point, we just want to declare the general configuration in one place, and use that configuration to reuse many times. Then kubernetes provides us with a resource to do that, ConfigMap.

Note that information about the user and password of the database is sensitive data. Usually with sensitive information we will not use ConfigMap but will use Secret (will be discussed below), here for example. so we will ConfigMap.

ConfigMap

This is a resource that helps us separate configuration. The value will be defined as key/value pairs in the data attribute, as follows:

data:
    <key-1>: <value-1>
    <key-2>: <value-2>

And this value will be passed inside the container as an env. And because ConfigMap is an individual resource, we can reuse it for many different containers. Using ConfigMap is a way to avoid having to write the env configuration inside the Pod container config.

Create a ConfigMap

Now we will create a ConfigMap. Create a cm-db.yaml file with the following configuration:

apiVersion: v1
kind: ConfigMap
metadata:
  name: postgres-config
data:
  DB: postgres
  USER: postgres
  PASSWORD: postgres

Here we will create a ConfigMap named postgres-config with 3 keys: DB, USER, PASSWORD.

$ kubectl apply -f cm-db.yaml
configmap/postgres-config created

Or we can also create ConfigMap through the cli command without writing a config file, as follows:

$ kubectl create cm postgres-config --from-literal=DB=postgres --from-literal=USER=postgres --from-literal=PASSWORD=postgres
configmap/postgres-config created

Pass ConfigMap inside the container. We will reuse the example above, create a file named pod-with-cm.yaml using image 080196/hello-cm , the image code is as follows:

const http = require("http");
const { Client } = require("pg");

const { DB_HOST, POSTGRES_USER, POSTGRES_DB, POSTGRES_PASSWORD } = process.env;

const client = new Client({
  host: DB_HOST,
  user: POSTGRES_USER,
  database: POSTGRES_DB,
  password: POSTGRES_PASSWORD,
  port: 5432,
});
client.connect().then(() => {
  console.log("connect db successfully");
})

const server = http.createServer((req, res) => {
  console.log("Hello env\n")
});

server.listen(process.env.PORT, () => {
  console.log("Server listen on port ", process.env.PORT)
})

Config of pod-with-cm.yaml file:

apiVersion: v1
kind: Pod
metadata:
  name: hello-cm
  labels:
    app: application
spec:
  containers:
    - image: 080196/hello-cm
      name: hello-cm
      ports:
        - containerPort: 3000
      envFrom: # using envFrom instead of env
        - configMapRef: # referencing the ConfigMap
            name: postgres-config # name of the ConfigMap
          prefix: POSTGRES_ # All environment variables will be prefixed with POSTGRES_
      env:
        - name: PORT
          value: "3000"
        - name: DB_HOST
          value: postgres

---
apiVersion: v1
kind: Pod
metadata:
  name: postgres
  labels:
    app: db
spec:
  containers:
    - image: postgres
      name: postgres
      ports:
        - containerPort: 5432
      envFrom:
        - configMapRef:
            name: postgres-config
          prefix: POSTGRES_

---
apiVersion: v1
kind: Service
metadata:
  name: postgres
  labels:
    app: db
spec:
  selector:
    app: db
  ports:
    - port: 5432
      targetPort: 5432

Here we will use the envFrom attribute instead of env to specify the use of ConfigMap, the prefix field will be concatenated in front of all our envs with the value POSTGRES_. As you can see, instead of having to rewrite env in both Pods, we just need to create a configmap and use it many times. Let's create and test:

$ kubectl apply -f pod-with-cm.yaml -l app=db
pod/postgres created
service/postgres created

Here we check that the Pod db is running, then let's create a hello-cm pod and test it:

$ kubectl get pod
pod/hello-cm created
$ kubectl apply -f pod-with-cm.yaml -l app=application
pod/hello-cm created
$ kubectl logs hello-cm
Server listen on port  3000
connect db successfully

If we log in and print out the line connect db successfully , then we have successfully passed the configuration to the container through ConfigMap. At this point, we know how to pass configuration through env to the container using ConfigMap. But what if our application's configuration is a config file? We can also use ConfigMap.

Use ConfigMap to transfer configuration files into the container through volume config

With ConfigMap we can use a key whose value is the content of an entire config file, as follows:

data:
    <key>: |
        line
        line

For example, we will create a config file for nginx that compresses its responses before returning it to the client, creating a file called nginx-config-cm.yaml with the following config:

apiVersion: v1
kind: ConfigMap
metadata:
  name: nginx-config
data:
  my-nginx-config.conf: |
    server {
      listen 80;
      server_name www.kubia-example.com;

      gzip on;
      gzip_types text/plain application/xml;

      location / {
        root /usr/share/nginx/html;
        index index.html index.htm;
      }
    }

Here we create a ConfigMap with the name nginx-config, with the key my-nginx-config.conf which will be the name of the file when we pass it into the container. Create a file named pod-nginx.yaml with the following configuration:

apiVersion: v1
kind: Pod
metadata:
  name: nginx
spec:
  containers:
    - image: nginx:alpine
      name: web-server
      volumeMounts:
        - mountPath: /etc/nginx/conf.d # mount content of the configmap to container
          name: config
          readOnly: true
  volumes:
    - name: config # volume use configmap as content
      configMap:
        name: nginx-config # configmap name

Here, our ConfigMap will be used as a volume, with content being the content in the ConfigMap. At this time, our volume will contain a file named my-nginx-config.conf, then this file will be mounted to the web-server container in the /etc/nginx/conf.d folder, we will have /etc/nginx/ conf.d/my-nginx-config.conf

Let's create a Pod and check if our config is correct:

$ kubectl apply -f nginx-config-cm.yaml
configmap/nginx-config created
$ kubectl apply -f pod-nginx.yaml
pod/nginx created
$ kubectl port-forward nginx 8080:80
Forwarding from 127.0.0.1:8080 -> 80
Forwarding from [::1]:8080 -> 80

Open another terminal:

$ curl -H "Accept-Encoding: gzip" -I localhost:8080
HTTP/1.1 200 OK
Server: nginx/1.21.3
Date: Fri, 24 Sep 2021 09:58:47 GMT
Content-Type: text/html
Last-Modified: Tue, 07 Sep 2021 15:50:58 GMT
Connection: keep-alive
ETag: W/"61378a62-267"
Content-Encoding: gzip // response is compressed

We can check more closely by accessing the Pod:

$ kubectl exec -it nginx -- sh
/ # cd /etc/nginx/conf.d/
/etc/nginx/conf.d # ls
my-nginx-config.conf

Here it is, this is the file that we mounted into the container via ConfigMap. Let's print its content and see:

/etc/nginx/conf.d # cat my-nginx-config.conf 
server {
  listen 80;
  server_name www.kubia-example.com;

  gzip on;
  gzip_types text/plain application/xml;

  location / {
    root /usr/share/nginx/html;
    index index.html index.htm;
  }
}
/etc/nginx/conf.d # exit

This is the value of the my-nginx-config.conf key that we defined in ConfigMap. We can also change the name of the file by writing config in the volume as follows:

...
  volumes:
    - name: config
      configMap:
        name: nginx-config
        items:
          - key: my-nginx-config.conf
            path: gzip.conf # change name of file from my-nginx-config.conf to gzip.conf

Here we rename the file from my-nginx-config.conf to gzip.conf using the path attribute. We can also just mount the content of the file:

...
  containers:
    - image: nginx:alpine
      name: web-server
      volumeMounts:
        - name: config
          mountPath: /etc/nginx/conf.d/gzip.conf # mount content of my-nginx-config.conf file to gzip.conf file
          subPath: my-nginx-config.conf # Instead of mounting the whole volume, you’re only mounting the my-nginx-config.conf
          readOnly: true
...

Here, we copy the content from the file my-nginx-config.conf to gzip.conf. If you want to specify file permissions, use the defaultMode property.

...
  volumes:
    - name: config # volume use configmap as content
      configMap:
        name: nginx-config # configmap name
        defaultMode: "0600"

When we use ConfigMap in the form of volume config. If we change the value of ConfigMap, it will automatically referencing and updating inside the Pod's volume, and we need the application to detect changes in our config file to reload the new config and re-run. If we use ConfigMap in env form, it will not update automatically, we need to re-create the Pod.

We use ConfigMap when we want to use config in many different Pods and the data is not sensitive data. For sensitive data, kubernetes provides us with another resource called Secret .

Secret

Secret is similar to ConfigMap, data is stored as key/value pairs, the way we use Secret is similar to ConfigMap. Secret is different from ConfigMap in that it is used to contain sensitive data. For ConfigMap, developers who can access our kubernetes cluster can read it, but for Secret, this data is not readable by everyone, right? Only with permissions granted by the administrator can we read.

In addition, kubernetes will increase security a bit by only sending secrets to worker nodes that have a Pod that needs to use it, and the Secret data will be stored in memory and never in physical storage, this will help when workers If the node dies, the Secret in memory will be deleted. And at the master node, the Secret will be saved under etcd in encrypted form.

Create a Secret

To create a Secret, we should use CLI rather than creating a config file. Back to the DB example above, instead of using ConfigMap, we will use Secret.

$ kubectl create secret generic postgres-config --from-literal=DB=postgres --from-literal=USER=postgres --from-literal=PASSWORD=postgres
secret/postgres-config created

When we look at the secret information, we will see that it is saved in base64 encoded format.

$ kubectl get secret postgres-config -o yaml
apiVersion: v1
data: // base64 encode.
  DB: cG9zdGdyZXM=
  PASSWORD: cG9zdGdyZXM=
  USER: cG9zdGdyZXM=
kind: Secret
metadata:
  creationTimestamp: "2021-09-24T10:40:26Z"
  name: postgres-config
  namespace: default
  resourceVersion: "1027803"
  uid: 9c7ed846-2ca4-4c58-946a-26cdccce2b1f
type: Opaque

Use Secret in Pod.

apiVersion: v1
kind: Pod
metadata:
  name: hello-cm
  labels:
    app: application
spec:
  containers:
    - image: 080196/hello-cm
      name: hello-cm
      ports:
        - containerPort: 3000
      envFrom: # using envFrom instead of env
        - secretRef: # use secretRef instead of env configMapRef
            name: postgres-config # name of the Secret
          prefix: POSTGRES_
      env:
        - name: PORT
          value: "3000"
        - name: DB_HOST
          value: postgres

---
apiVersion: v1
kind: Pod
metadata:
  name: postgres
  labels:
    app: db
spec:
  containers:
    - image: postgres
      name: postgres
      ports:
        - containerPort: 5432
      envFrom:
        - secretRef:
            name: postgres-config
          prefix: POSTGRES_

---
apiVersion: v1
kind: Service
metadata:
  name: postgres
  labels:
    app: db
spec:
  selector:
    app: db
  ports:
    - port: 5432
      targetPort: 5432

Here we will use the secretRef attribute instead of configMapRef. When we pass the Secret to the Pod it will be decoded from base64 form back to the same.

Remember:

  • Use ConfigMap for non-sensitive, plain configuration information.

  • Use Secret for sensitive information, use CLI, not config file.