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COTop 20 Questions On MicroServices ✅🔗
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Follow @codesnippet.java ✅
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#java #programming #programmer #code #coding #springboot #coder #coders
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COSAGA pattern for distributed transaction in Microservices #softwareengineer #softwaredeveloper #java #systemdesign
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BAMicroservices Architecture in 30 Seconds
#microservices #interview #answer #interviewprep #database #java #softwaredeveloper #coding
@backendmiles147
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BAFew microservices Interview Questions
👉 Follow and comment YES for answers
👉Message to get access to java interview preparation website
[Java javascript microservices multithreading kafka dsa python computerscience javaprogramming]
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CONeed scenarios like this?? Check the document link in the bio
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.#java #springboot #restapi #backbenchers #backend #backenddeveloper #javanese #bca #btech #fullstack #fullstackdeveloper #jobs #itjobs #javainterviewquestions #microservices #code #coding #coder #developer #mca #javajavajava #javaawsdeveloper #systemdesign #javacoding #javadeveloper #javaprogramming #coding #interviewquestions
@coding__lyf
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IAI Failed My Java Interview Because I Didn’t Know These Key Algorithms 😓 Make Sure You Do!
If you’re aiming for a senior Java role, these are must-know algorithms and patterns that could make or break your interview.
Here’s a quick breakdown 👇
🔹 Thread-safe Singleton
Use double-checked locking to ensure a single instance across threads efficiently.
🔹 Producer-Consumer Problem
Sync data flow with BlockingQueue to manage producer/consumer threads without manual handling.
🔹 ExecutorService for Thread Management
Optimize performance with thread pooling for better resource management.
🔹 Singleton Protection with EnumBlock reflection/cloning threats with Enum-based Singleton.
🔹 Abstract Factory vs. Factory Pattern
Know when to use these to create families of objects vs. single instances.
🔹 Strategy Pattern for Flexibility
Switch algorithms (like sorting) without changing client code—perfect for dynamic behavior.
🔹 Design Patterns in JDK
JDK has built-in patterns (like Singleton, Observer) that improve code quality.
🔹 Logging with Decorator Pattern
Extend loggers dynamically, adding timestamps, levels, and more without modifying core logic.
I’ll dive into each of these soon, with code examples and insights.
Follow for more tips to ace your interviews! 💡
#JavaProgramming #CodingInterview #JavaDeveloper #TechInterviews #Leetcode #CodingPrep #SeniorJavaDeveloper #SoftwareEngineer #JavaPatterns #ProgrammingTips #ComputerScience #EngineeringStudents #DSA #TechCareers #InterviewPrep #TechSkills #CodingLife #PlacementPrep #AlgorithmDesign #SystemDesign #DevelopersLife #SoftwareDevelopment #TechIndustry
[Leetcode, Computer Science, Engineering Students, DSA, Tech, Interview Prep, Coding, Placement]
@iamsaumyaawasthi
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COScenario Based Question - 6.
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#java #springboot #restapi #backbenchers #backend #backenddeveloper #javanese #bca #btech #fullstack #fullstackdeveloper #jobs #itjobs #javainterviewquestions #microservices #code #coding #coder #developer #mca #javajavajava #javaawsdeveloper #systemdesign #javacoding #javadeveloper #javaprogramming #coding #interviewquestions
@coding__lyf
128.7K
COIf you are preparing for Java Backend interviews, focus on these 8 areas first.
Save this roadmap before your next interview.⭐️
⸻
1. Spring Core Fundamentals
• IoC (Inversion of Control)
• Dependency Injection
• Bean Lifecycle
• ApplicationContext vs BeanFactory
• Component Scanning
⸻
2. Spring Boot Basics
• Spring Boot Architecture
• Spring Boot vs Spring Framework
• Auto Configuration
• Starter Dependencies
• application.properties / application.yml
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3. Important Spring Annotations
• @SpringBootApplication
• @Component, @Service, @Repository
• @Controller / @RestController
• @Autowired / @Qualifier
• @Configuration / @Bean
⸻
4. REST API Development
• REST Principles
• HTTP Methods (GET, POST, PUT, DELETE)
• RequestBody / ResponseEntity
• PathVariable vs RequestParam
• Global Exception Handling
⸻
5. Spring Data JPA
• JPA vs Hibernate
• Entity Mapping (@Entity, @Id, Column)
• Repository Interfaces
• Pagination & Sorting
• JPQL & Native Queries
⸻
6. JPA Relationships
• OneToOne
• OneToMany
• ManyToOne
• ManyToMany
• Cascade Types & Fetch Types
⸻
7. Microservices with Spring Cloud
• Monolith vs Microservices
• Service Discovery (Eureka)
• API Gateway
• Config Server
• Inter-service Communication
⸻
8. Production & Advanced Concepts
• Spring Security & JWT
• Caching (Redis)
• Messaging (Kafka)
• Logging & Monitoring (Actuator)
• Docker & Deployment
Comment "pdf" for rest of the roadmap and detailed notes on all these topics
#systemdesign
#engineers
#developers
#softwareengineering
#springboot
[coding, system design, springboot, genAl developers, software engineer, coders, java]
@coding_with_deepa
52.4K
COTop microservices patterns to learn #microservices #backenddevelopment #hungrycoders #softwaredev #javaprogramming
@codingwithaman
53.5K
KAMicroservices In Java🔥🔥
Spring boot microservices, java microservices explained in telugu, java tutorial, backend development, spring boot interview preparation
#java #interview #interviewpreparation #student #btech #microservices #springboot #codinglife #javapreparation #javatutorial #backenddeveloper
@kaarthikforu
5.0M
RIInstead ....
Become "THE" java developer 💪🔥🚀
Do save this reel before it's gone ✨
Learn advanced Java from the right guidance 👇!
1. Java Concurrency and Multithreading: ✨
- Online Course: Coursera's "Concurrency in Java" by University of Illinois
-📍YouTube Playlist: "Java Multithreading" by thenewboston
2. Java Design Patterns:✨
- Website: Refactoring Guru (refactoring.guru/design-patterns/java)
- 📍YouTube Playlist: "Design Patterns in Java" by Telusko
3. Java Memory Management:✨
- Article: "Understanding Java Garbage Collection" by Baeldung
- 📍YouTube Playlist: "Java Garbage Collection and Memory Management" by CodeAcademy
4. Java Performance Tuning:✨
- Blog: JavaPerformanceTuning.com
- 📍YouTube Playlist: "Java Performance Tuning Techniques" by CodeGym
5. Java Enterprise Edition (Java EE) / Jakarta EE:✨
- Online Course: Pluralsight's "Java EE: The Big Picture" by Reza Rahman
- 📍YouTube Playlist: "Jakarta EE Tutorials" by Java Brains
6. Java 9+ Modules (Project Jigsaw):✨
- 📍 YouTube Tutorial: "Java 9 Module System" on YouTube by Java Brains
7. Java Spring Framework:✨
- 📍YouTube Playlist: "Spring Framework Tutorials" by Telusko
8. Java Functional Programming:
- 📍YouTube Playlist: "Java Functional Programming" by CodeGym
#softwaredeveloper #javadeveloper #javacode #springboot #javaprogrammer #javaprograming
[ Java developers 2024 , advance java concepts, getting started with java programming, java resources ]
@rizdev.in
6.2K
BLDay 6/365 days — To design a microservice that needs data from other services without tight coupling, I would follow these principles:
1 API Composition / Aggregator Pattern Introduce an orchestrator or aggregator service that calls the dependent services.
The consumer service interacts with only one API, not all services directly.
This keeps the core service clean and loosely coupled.
2 Asynchronous Communication (Event-Driven)
Use events (Kafka/RabbitMQ) where possible instead of synchronous REST calls.
Each service publishes domain events.
The consuming service maintains a local read model built from events.
Reduces runtime dependency and improves resilience.
3 Avoid Shared Databases
Each service owns its data.
Data is shared only via APIs or events, never direct DB access.
Prevents schema-level coupling.
4 Use Contracts, Not Implementations Interact using well-defined DTOs and API contracts. Version APIs to avoid breaking changes. Never rely on internal fields or logic of other services.
5 Resilience Patterns Implement Circuit Breaker, Retry, Timeout, and Fallback (Resilience4j). Prevent cascading failures if one service is down.
6 Cache Where Appropriate
Cache frequently used data at the aggregator layer
Reduces repeated calls and dependency pressure.
7 Domain-Driven Design (DDD)
Fetch only data relevant to the bounded context.
Avoid pulling full objects-use minimal required attributes.
Summary
I avoid tight coupling by using an API Aggregator or event-driven design, strict service boundaries, contract-based communication, and resilience patterns, ensuring services remain independent, scalable, and fault tolerant.
Do Follow @blackcask_ for more tech tips.
#tech #java #microservices #interview #coder
@blackcask_
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