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  • README
  • ALGORITHM
    • Sieve of Eratosthenes
    • Lcm, Gcd
    • Sorting Array
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    • CS Note for Interview
      • Ch1. Design Pattern & Programming paradigm
        • 1.1.1 Singleton Pattern
        • 1.1.2 Factory Pattern
        • 1.1.4 Observer Pattern
        • 1.1.5 Proxty Pattern & Proxy Server
        • 1.1.8 Model-View-Controller Pattern
        • 1.2.1 Declarative and Functional Programming
        • 1.2.2 Object Oriented Programming
      • Ch2. Network
        • 2.2.1 TCP/IP Four-Layer Model
        • 2.2.1-1 TCP 3, 4 way handshake
        • 2.3 Network Devices L4, L7
        • 2.4.1 ARP, RARP
        • 2.4.2 Hop By Hop Communication
        • 2.4.3 IP Addressing Scheme
      • Ch3. Operating System
        • 3.1.1 Roles and Structure of Operating Systems
        • 3.2.1 Memory Hierarchy
        • 3.2.2 Memory Management
        • 3.3.1 Processes and Compilation Process
        • 3.3.3 Memory Structure of a Process
        • 3.3.4 Process Control Block (PCB)
        • 3.3.5 Multiprocessing
        • 3.3.6 Threads and Multithreading
        • 3.3.7 Shared Resources and Critical Sections
        • 3.3.8 Deadlock
        • 3.4 CPU Scheduling Algorithm
      • Ch4. Database
        • 4.1 Database Basic
        • 4.2 Normalization
        • 4.3 Transaction and Integrity
        • 4.4 Types of Databases
        • 4.5 Indexes
        • 4.6 Types of Joins
        • 4.7 Principles of Joins
      • Ch5. Data Structure
    • Learning the Basics of Large-Scale System Design through Virtual Interview Cases
      • 1. Scalability based on user counts(1/2)
      • 1. Scalability based on user counts(2/2)
      • 2.Back-of-the-envelope estimation
      • 3. Strategies for System Design Interviews
      • 4. Rate Limiter
      • 5. Consistent Hashing
      • 6. Key-Value System Design
      • 7. Designing a Unique ID Generator for Distributed Systems
      • 8. Designing a URL Shortener
      • 9. Designing a Web Crawler
      • 10. Notification System Design
      • 11. Designing a News Feed System
      • 12. Chat System Design
      • 13. AutoComplete
      • 14. Design YouTube
      • 15. Design Google Drive
      • Loadbalancer Algorithms
      • Cache tier
      • CDN, Content Delivery Network
      • Stateless Web tier
    • Computer System A programmer's perspective
    • Effective Java
      • Item 1. Consider Static Factory Methods Instead of Constructors
      • Item 2. Consider a Builder When Faced with Many Constructor Parameters
      • Item 3. Ensure Singleton with Private Constructor or Enum Type
      • Item 4. Enforce Noninstantiability with a Private Constructor
      • Item 5. Prefer Dependency Injection to Hardwiring Resources
      • Item 6. Avoid Creating Unnecessary Objects
      • Item 7. Eliminate Obsolete Object References
      • Item 8. Avoid Finalizers and Cleaners
      • Item 9.Prefer try-with-resources to try-finally
      • Item10. Adhering to General Rules When Overriding equals
        • Handling Transitivity Issues
        • Ensuring Consistency
      • Item11. Override hashCode When You Override equals
      • Item12. Always Override toString
        • Always Override toString
      • Item13. Override Clone Judiciously
      • Item14. Consider Implementing Comparable
      • Item15. Minimize the Accessibility of Classes and Members
      • Item16. Accessor Methods Over Public Fields
      • Item17. Minimize Mutability
      • Item18. Composition over inherentance
      • Item19. Design and Document for Inheritance, or Else Prohibit It
      • Item20. Prefer Interfaces to Abstract Classes
      • Item21. Design Interfaces with Implementations in Mind
      • Item22. Use Interfaces Only to define Types
      • Item23. Prefer Class Hierarchies to Tagged Classes
      • Item24. Favor Static Member Classes Over Non-Static
      • Item28. Use Lists Instead of Arrays
      • Item29. Prefer Generic Types
      • Item30. Favor Generic Methods
    • Head First Design Patterns
      • Ch1. Strategy Pattern
      • Ch2. Observer Pattern
        • Ver1. Ch2. Observer Pattern
      • Ch3. Decorator Pattern
        • Ch3. Decorator Pattern
      • Ch4. Factory Pattern
      • Ch5. Singleton Pattern
      • Ch6. Command Pattern
      • Ch7. Adapter and Facade Pattern
      • Ch8. Template Method Pattern
    • Digging Deep into JVM
      • Chapter 2. Java Memory Area & Memory Overflow
      • Chapter 3. Garbage Collector & Memory Allocation Strategy (1/2)
      • Chapter 3. Garbage Collector & Memory Allocation Strategy (2/2)
      • Chapter 5. Optimization Practice
      • Chapter 6. Class file structure
  • Interview Practices
    • Restful API Practices
      • Url Shortener API
      • Event Ticket Reservation API
      • Course Management API
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      • Online Code platform API
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      • Review System API
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        • HTTP
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    • Week6
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      • Copy of ERD - 1
    • Week7
      • Vault (HashiCorp Vault)
    • Week 8
      • Api Endpoints
  • Week10
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      • Implementation of Kafka
      • Implementation of K8s
      • Communication between servers in msa
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      • Checked Exceptions and Unchecked Exceptions
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      • Concurrency Programming in Java
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    • Java Questions
      • Week 1(1/2) - Basic Java
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      • Week 2(1/2) - String, Exception, Generic
      • Week2(2/2) Lambda, Stream, Annotation, Reflection
      • Week3(1/2) Collections
      • Week3(2/2) Threads
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    • Batch delete instead of Cascade
    • Checked vs Unchecked Exception
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    • BlockingQueue
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    • using profile name as variable
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    • Template Page
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    • Icecream
  • FASTAPI
    • Template Page
  • COMPUTER SCIENCE
    • Computer Architecture 101
      • 3 components of a computer
      • RAM vs ROM
      • CPU vs GPU
      • SIMD
      • Two's complement
      • Harvard Architecture vs. von Neumann Architecture
      • The structure of a CPU.
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        • Reason for using memory hierarchy structure
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        • epresentation of infinity and NaN (Not a Number) in floating-point
      • RISC vs CISC
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      • Mutex vs Semaphore
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      • Local vs Static Variable
      • Page
  • OS
    • Operating System 101
      • Operating system
        • The role of the operating system
        • The composition of the operating system.
      • Process
        • In Linux, are all processes except the initial process child processes?
        • Zombie process, orphan process
        • (Linux) Daemon process
        • Process address space
        • Where are uninitialized variables stored?
        • Determination of the size of the Stack and Heap
        • Access speed of Stack vs Heap
        • Reason for memory space partitioning
        • Process of compiling a process
        • sudo kill -9 $CURRENT_PID
      • Thread
        • Composition of a thread's address space
      • Process vs Thread
        • Creation of processes and threads in Linux
      • Multiprocessing
        • Web Browser
        • Implementation of multiprocessing
        • Application areas of multiprocessing
      • Multithreading
        • Application areas of multithreading
      • Interrupt
        • HW / SW Interrupt
        • Method of handling interrupts
        • Occurrence of two or more interrupts simultaneously
      • Polling
      • Dual Mode
        • Reason for distinguishing between user mode and kernel mode
      • System call
        • Differentiation between system calls
        • Types of system calls
        • Execution process of a system call
      • Process Control Block (PCB)
        • PCB의 구조
        • 쓰레드는 PCB를 갖고 있을까?
        • 프로세스 메모리 구조
      • Context switching
        • Timing of context switching
        • Registers saved during context switching
        • Context switching in processes
        • Context switching in threads
        • Difference between context switching in processes and threads
        • Information of the current process during context switching
      • Interprocess Communication (IPC)
        • Cases where IPC is used
        • Process address space in IPC Shared Memory technique
        • Types of IPC
    • Operating System Questions
      • Week1 OS & How Computer Systems Work
      • Week2(1/2) Process
      • Week2(2/2) Thread
      • Week3 CPU Scheduling
      • Week4 Process Synchronize
      • Week5 Virtual Memory
  • LINUX
    • Template Page
  • SERVER
    • Template Page
  • NETWORK
    • Network 101
      • https://www.google.com
      • TCP vs UDP
      • Http vs Https
      • TLS Handshake 1.2
      • HTTP Method
      • CORS & SOP
      • Web Server Software
    • Network Questions
      • Week1 Computer Network Basic
      • Week2(1/3) Application Layer Protocol - HTTP
      • Week2(2/3) Application Layer Protocol - HTTPS
      • Week2(3/3) Application Layer Protocol - DNS
      • Week3 Application Layer
      • Week4 Transport Layer - UDP, TCP
      • Week5 Network Layer - IP Protocol
    • Blocking, NonBlocking and Sync, Async
    • HTTP 0.9-3.0
  • DATABASE
    • Database Questions
      • Week1 DBMS, RDBMS basics
      • Week2 SQL
      • Week3 Index
      • Week4 Anomaly, Functional Dependency, Normalization
      • Week5 DB Transaction, Recovery
    • Normalization
      • 1st Normal Form
      • 2nd Normal Form
      • 3rd Normal Form
    • Ensuring Data Consistency, Atomicity and UX Optimization (feat.Firebase)
    • Redis: Remote Dictionary Server
    • Enhancing Query Performance - User list
  • DATA STRUCTURE
    • Array vs Linked List
    • Counting Sort
  • GIT, Github
    • git clone, invalid path error
  • INFRA
    • Template Page
  • AWS
    • Server Log Archive Pipeline
    • Image Processing using Lambda
  • DOCKER
    • Docker commands
    • Python Executable Environment
    • Docker and VM
  • docker-compose
    • Kafka, Multi Broker
  • KUBERNATES
    • !Encountered Errors
      • my-sql restarts
      • kafka producer: disconnected
    • Kubernetes Components
    • Helm
      • Helm commands
    • Pod network
    • Service network
      • deployment.yaml
      • services.yaml
    • Service type
      • Cluster IP
      • NodePort
    • service-name-headless?
    • kube-proxy
    • Template Page
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      • self explanatory
      • chr(sum(range(ord(min(str(not))))))
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  1. KUBERNATES

service-name-headless?

PreviousNodePortNextkube-proxy

Last updated 1 year ago

  1. service-name-headless

  • 이 서비스는 ClusterIP가 None으로 설정되어 있습니다. 이는 서비스가 로드 밸런싱을 제공하지 않으며, 클라이언트가 서비스 이름을 DNS 조회할 때 각 포드의 실제 IP 주소 목록을 반환받는다는 것을 의미합니다.

  • 클라이언트는 이 목록을 사용하여 특정 포드에 직접 연결할 수 있으며, 이 방식은 스테이트풀 서비스(예: 데이터베이스)에 적합합니다.

  • service-name-headless는 주로 포드 간의 직접적이고 특정한 통신을 위해 사용됩니다.

  1. service-name

  • 이 서비스에는 유효한 ClusterIP (예: 10.16.11.125)가 할당되어 있습니다. 이 IP는 서비스에 접근하는 통합된 진입점으로 작동하며, 서비스로 들어오는 요청을 서비스에 연결된 포드 간에 로드 밸런싱합니다.

  • 일반 서비스는 클라이언트 요청을 여러 포드 중 하나로 자동으로 분배하기 때문에, 상태가 없는(stateless) 애플리케이션에 적합합니다.

  • app-db-mysql은 일반적으로 클라이언트가 특정 포드에 직접 연결할 필요가 없는 경우 사용됩니다.