Nat

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Nat

Nat

@caffeinatedgigi

looking for jobs and freelance work . naturally introvert, selectively extrovert 🌱

India Katılım Nisan 2020
427 Takip Edilen470 Takipçiler
Nat
Nat@caffeinatedgigi·
How to survive in hyderabad in 4.5 lpa package 🥲
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Swati
Swati@Heymaxi01·
As a backend engineer: Mandatory skills that separate juniors from seniors.. • SOLID principles (write code that doesn't rot) • Multithreading & concurrency (threads, async, locks, deadlocks) • Immutability (avoid bugs from shared mutable state) • Streaming & messaging (Kafka, RabbitMQ, queues, pub/sub) • Caching strategies (Redis patterns, invalidation, eviction) • Security fundamentals (SSL/TLS, JWT pitfalls, OAuth2 flows) • Key design patterns (Factory, Decorator, Singleton, Observer) • TDD (test-first mindset)
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
40 concepts to master Java Development. 1. Modern Java Features: Mastering records, sealed classes, pattern matching, and virtual threads. 2. Java Platform Module System (JPMS): Modularizing applications for maintainability and deployment. 3. Build Tools & Dependency Management: Maven and Gradle for modern project management. 4. Concurrency & Multithreading: Executor framework, Fork/Join, and java.util.concurrent. 5. Java Memory Model & Garbage Collection: Understanding heap, stack, and GC tuning. 6. JVM Internals & Performance Tuning: Profiling with JVisualVM, JMC, and optimizing bytecode. 7. Functional Programming in Java: Lambdas, streams, and the java.util.function package. 8. Unit Testing & Mocking: JUnit 5, Mockito, and TestContainers for integration tests. 9. Design Patterns & Principles: SOLID principles and GoF patterns in a modern Java context. 10. Spring Framework 6+: Core, MVC, Data, Security, and reactive programming with WebFlux. 11. Spring Boot 3+: Auto-configuration, starters, and building production-ready applications. 12. Microservices with Spring Cloud: Service discovery, configuration, and circuit breakers. 13. API Development: Building RESTful APIs with Spring and OpenAPI documentation. 14. Reactive Programming: Project Reactor and building non-blocking systems. 15. Database Persistence: JPA/Hibernate, Spring Data JPA, and query optimization. 16. NoSQL Integration: Connecting to MongoDB, Redis, and Cassandra with Spring Data. 17. Message-Driven Architecture: JMS with ActiveMQ/Artemis and Spring integration. 18. Apache Kafka Integration: Building event-driven systems with Spring for Apache Kafka. 19. Security & Authentication: Spring Security, OAuth 2.0, and OpenID Connect. 20. Containerization & Orchestration: Building optimized Docker images and deploying to Kubernetes. 21. CI/CD for Java: Automating build, test, and deployment pipelines. 22. Monitoring & Observability: Integrating Micrometer, Prometheus, and distributed tracing. 23. Cloud-Native Java: Deploying to AWS, Azure, and GCP with cloud-specific integrations. 24. Serverless Java: Functions with AWS Lambda and Azure Functions using Spring Cloud Function. 25. Code Quality & Static Analysis: Using SonarQube, SpotBugs, and PMD. 26. Logging Best Practices: Structured logging with SLF4J, Logback, and log aggregation. 27. Caching Strategies: Implementing in-memory and distributed caches with Spring Cache. 28. Internationalization & Localization: Building globally-ready applications. 29. File Processing & Batch Jobs: Using Spring Batch for large-scale data processing. 30. WebSocket & Real-Time Communication: Building interactive features. 31. GraphQL in Java: Implementing GraphQL APIs with Spring GraphQL. 32. Testing Strategies: Contract testing, consumer-driven contracts, and chaos engineering. 33. API Versioning & Evolution: Managing breaking changes in a service ecosystem. 34. Feature Toggles & Canary Releases: Implementing progressive delivery. 35. Java Native Image (GraalVM): Compiling to native executables for fast startup. 36. Database Migration & Versioning: Using Flyway or Liquibase. 37. Hexagonal & Clean Architecture: Applying domain-driven design principles. 38. Command Query Responsibility Segregation (CQRS) & Event Sourcing. 39. Performance Benchmarking: Using JMH (Java Microbenchmark Harness) for accurate measurement. 40. The Java Ecosystem: Staying current with LTS releases, Jakarta EE, and critical libraries. Master these concepts, and you'll be equipped to design, build, and maintain high-performance, scalable enterprise systems with modern Java. Grab this Java Handbook to master Java Development: codewithdhanian.gumroad.com/l/cvxzo
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Nat
Nat@caffeinatedgigi·
Acha hai salary kam hai tax k list se dur hun 🫠
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Nat@caffeinatedgigi·
40% gst on tobacco products 🙌🏻
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Nat@caffeinatedgigi·
Is it worth it to buy x premium ?
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spidey
spidey@lochan_twt·
average Windows experience
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Nat@caffeinatedgigi·
Good night
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Nat@caffeinatedgigi·
Elastic Load Balancing : spreads incoming traffic across EC2 instances, containers, and IPs in multiple Availability Zones. It monitors target health and routes requests only to healthy resources, ensuring high availability and fault tolerance.
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Nat@caffeinatedgigi

Load balancers use smart algorithms to share traffic : • Round Robin – requests are assigned one by one • Least Connections – traffic goes to the least busy server • IP Hash – same user reaches the same server • Weighted – stronger servers handle more load

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Nat@caffeinatedgigi·
Load balancers use smart algorithms to share traffic : • Round Robin – requests are assigned one by one • Least Connections – traffic goes to the least busy server • IP Hash – same user reaches the same server • Weighted – stronger servers handle more load
Nat@caffeinatedgigi

A Load Balancer is the traffic cop of the internet It spreads requests across servers ⚖️ Prevents overload 💥 Improves speed ⚡ Boosts reliability 🛡️ That’s how apps stay smooth even when the crowd rushes in

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Nat@caffeinatedgigi·
A Load Balancer is the traffic cop of the internet It spreads requests across servers ⚖️ Prevents overload 💥 Improves speed ⚡ Boosts reliability 🛡️ That’s how apps stay smooth even when the crowd rushes in
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Nat@caffeinatedgigi·
Horizontal scaling = grow out, not up Add more servers ➕ Share the traffic 🔁 Handle more users 👥 Stay fast ⚡ Stay reliable 🛡️ That’s how modern apps survive massive demand without breaking #systemdesign
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Nat@caffeinatedgigi·
Literally whenever I feel bored :)
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Nat
Nat@caffeinatedgigi·
Start preparation for upcoming bank exams :)
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Sidra
Sidra@kakarPathan_·
Let's see who is really smart?
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Abhishek Singh
Abhishek Singh@0xlelouch_·
Rahul joined TCS. CTC: ₹3.36 LPA In-hand: ~₹24k/month 2 years went by. ₹3.36 → ₹3.9 → ₹4.6 LPA Same pattern: - support tickets - client calls - “KT” and “status updates” - zero ownership Then he made one move that changed everything. He took a break: 5 months. Daily routine: - 6 hrs/day DSA (cf + LC) - 2 hrs CS fundamentals (OS/DBMS/CN) - 1 hr writing: notes + revision + mock interviews Total: ~1,300 hours of focused prep. He came back and joined a startup. Offer: ₹18 LPA Jump: 4x But the real shift wasn’t money. It was all about how he worked. In 6 months, he shipped: - cut one hot API from 900ms p95 → 140ms p95 - reduced DB CPU by 35% with proper indexes + query rewrite - added caching + idempotency keys, dropped duplicate writes by 90% - set up alerts + dashboards, incidents went from 3/week → 1/week - owned on-call, wrote postmortems, fixed root causes instead of patching symptoms In 18 months, his scope grew: - led a migration that reduced cloud bill by ₹6–8 lakh/month - designed a queue-based pipeline doing 1M+ events/day - ran load tests, set SLOs, and made deployments boring Then he interviewed again. Timeline: TCS (2 yrs) → Break (5 months) → Startup (2 yrs) → Google At Google: Role: Lead-level engineer (scope-based, not “title-based”) Total comp: ₹1Cr+ band (depending on level/location) Rahul didn’t “get lucky.” He just used numbers that compound: 5 months of prep → 4x salary jump → 2 years of ownership → 1 career tier up. That’s the difference. Experience grows with time. Net worth grows with strategy.
CA Paaras Gangwal@ThetaVegaCap

Tushar joined Infosys. Training CTC: ₹2.7 LPA Post training: ₹3.25 LPA Years passed… ₹3.79 → ₹4.28 → ₹4.92 → ₹5.94 → ₹6.31 → ₹6.82 LPA 8 years. More skills. More work. But still stuck. Salary grows slowly. Expenses grow fast. Tushar didn’t fail. This is how the system works. Bottom line: Loyalty increases experience. Strategy increases net worth. 📈 #SalaryReality #Infosys #Career #Investing #PersonalFinance

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Akshay Kumar
Akshay Kumar@Aakshayy12·
DSA give u this - Graviton - 50LPA Google - 20-45 LPA Microsoft - 15-40 LPA Amazon - 12–35 LPA Rubrik - 50LPA Tower -50LPA Quadeye -50LPA Adobe - 12-30 LPA Uber - 15-35 LPA Flipkart - 10-28 LPA Goldman Sachs - 12-30 LPA Sprinklr - 15-40 LPA Intuit - 14-35 LPA Apple - 18-45 LPA
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Nat
Nat@caffeinatedgigi·
Java’s "java.util.Scanner" class makes input handling effortless. >Read int, double, and String values from console, files, or text with ease. >A must-know utility for every Java beginner building interactive programs. #Java #Coding
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Ojas Sharma
Ojas Sharma@OjasSharma276·
Java Developer Roadmap ↓ Core Java Basics >Syntax, Data Types, Operators >Control Statements (if, loops, switch) >Arrays & Strings ↓ Object-Oriented Programming (OOP) >Classes & Objects >Inheritance >Polymorphism >Abstraction >Encapsulation ↓ Advanced Java Concepts >Exception Handling >Collections Framework >Generics >Enums >Annotations ↓ Java Memory & Internals >JVM Architecture >Heap vs Stack >Garbage Collection >JIT Compiler ↓ Multithreading & Concurrency >Threads & Runnable >Synchronization >Locks >Executor Framework >Concurrent Collections ↓ Java 8+ Features (Non-Negotiable) >Lambda Expressions >Functional Interfaces >Streams API >Optional >Date & Time API ↓ Data Structures & Algorithms (Java) >Arrays, Linked List, Stack, Queue >Trees, Graphs >Sorting & Searching >Time & Space Complexity ↓ Database & SQL >MySQL/PostgreSQL >Joins, Indexes, Transactions >JDBC ↓ Frameworks >Spring Core >Spring Boot >Spring MVC >Spring Data JPA ↓ RESTful APIs >HTTP Methods >Status Codes >Request/Response Flow ↓ Security Basics >Authentication vs Authorization >JWT >Spring Security ↓ Build & Dev Tools >Maven / Gradle >Git & GitHub >Logging (Log4j / SLF4J) ↓ Testing >JUnit >Mockito >Integration Testing ↓ System Design (Beginner → Intermediate) >Monolith vs Microservices >REST Design Principles >Scalability Basics ↓ Projects >CRUD App >REST API Project >Microservice-based App ↓ Interview Prep >Core Java Deep Dive >DSA Practice >Java Internals Questions >System Design Basics
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Nat@caffeinatedgigi·
@S_N_SH_E_ I thought I was the only one she wanted to see succeed 😔
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baba yaga
baba yaga@S_N_SH_E_·
One word for Jia from unstop😇
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