developer @fullstack88

As a senior Java backend developer, It will be good if you have an understanding of the below 40 topics👇 1. CAP Theorem 2. Consistency Models 3. Distributed System Architectures 4. Socket Programming (TCP/IP and UDP) 5. HTTP and RESTful APIs 6. Remote Procedure Call (RPC) - gRPC, Thrift, RMI 7. Message Queues (Kafka, RabbitMQ, JMS) 8. Java Concurrency (ExecutorService, Future, ForkJoinPool) 9. Thread Safety and Synchronization 10. Java Memory Model 11. Distributed Databases (Cassandra, MongoDB, HBase) 12. Data Sharding and Partitioning 13. Caching Mechanisms (Redis, Memcached, Ehcache) 14. Zookeeper for Distributed Coordination 15. Consensus Algorithms (Paxos, Raft) 16. Distributed Locks (Zookeeper, Redis) 17. Spring Boot and Spring Cloud for Microservices 18. Service Discovery (Consul, Eureka, Kubernetes) 19. API Gateways (Zuul, NGINX, Spring Cloud Gateway) 20. Inter-service Communication (REST, gRPC, Kafka) 21. Circuit Breakers and Retry Patterns (Hystrix, Resilience4j) 22. Load Balancing (NGINX, Kubernetes, Ribbon) 23. Failover Mechanisms 24. Distributed Transactions (2PC, Saga Pattern) 25. Logging and Distributed Tracing (ELK Stack, Jaeger, Zipkin) 26. Monitoring and Metrics (Prometheus, Grafana, Micrometer) 27. Alerting Systems 28. Authentication and Authorization (OAuth, JWT) 29. Encryption (SSL/TLS) 30. Rate Limiting and Throttling 31. Apache Kafka for Distributed Streaming 32. Apache Zookeeper for Coordination 33. In-memory Data Grids (Hazelcast, Infinispan) 34. Akka for Actor-based Concurrency 35. Event-Driven Architecture: Event sourcing and CQRS (Command Query Responsibility Segregation). 36. Cluster Management: Kubernetes for container orchestration. 37. Cloud-Native Development: Using cloud platforms (AWS, GCP, Azure), and serverless computing (e.g., AWS Lambda). 38. Distributed Data Processing: Frameworks like Apache Spark or Apache Flink for large-scale data processing. 39. GraphQL: Alternative to REST for inter-service communication. 40. JVM Tuning for Distributed Systems: Memory management and performance tuning in distributed environments.

अंकल जी को लौंडों का gameplan बहुत देर में समझ आया 🤣🤣🤣

Today's Concept: Circuit Breaker Pattern In distributed systems, one failing service can bring down the entire application. Imagine this: User ↓ Payment Service ↓ Order Service (Slow/Down) Now Payment Service keeps waiting. Threads get blocked. Requests pile up. Eventually, the whole system starts struggling. This is called a Cascading Failure. Circuit Breaker prevents this. Instead of continuously calling a failing service, it temporarily stops sending requests and returns a fallback response. States: Closed → Everything is healthy Open → Requests are blocked Half-Open → Allow a few test requests If the service recovers: Half-Open → Closed If it still fails: Half-Open → Open Benefits: ✅ Prevents cascading failures ✅ Improves system resilience ✅ Reduces unnecessary load ✅ Faster failure detection ✅ Better user experience Real World Example: If a payment gateway is down, your application shouldn't wait 30 seconds for every request. A Circuit Breaker quickly returns: "Payment service temporarily unavailable. Please try again later." Fail fast. Recover fast. Keep the system stable. That's the power of the Circuit Breaker Pattern.

Suhani @tiwarisuhani_11

3 days ago

Today's Concept: Service Discovery In a microservices architecture, services are constantly scaling up, scaling down, restarting, and changing IP addresses. So how does one service know where another service is running? That's where Service Discovery comes in.

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Suryakumar Yadav missed an opportunity. He should have said, "Once the rain is over, no one looks at the sky."

@tiwarisuhani_11 How to register two vehicle number under same driver id ?

Database Design Series Day 6 Today's Application: Uber

Suhani @tiwarisuhani_11

5 days ago

Database Design Series Day 5 Today's Application: Food Delivery Platform

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90% of SQL interviews in 2026 come down to these 7 points. Can you do them without guessing? 1) Know joins cold: inner vs left, when a WHERE turns a left join into an inner join 2) Aggregation rules: GROUP BY, HAVING vs WHERE, counting distinct without blowing up rows 3) Window functions: ROW_NUMBER vs RANK, running totals, dedupe with PARTITION BY 4) Null semantics: NULL in comparisons, COALESCE, NOT IN pitfalls, 3-valued logic 5) Performance basics: indexes, sargable predicates, why leading wildcards kill btree usage 6) Read an EXPLAIN: spot seq scan vs index scan, bad cardinality, missing/unused indexes 7) Data correctness: transactions, isolation levels, idempotent writes, why read committed can still surprise you

New India 🇮🇳! It is a crime, if you are from a different state and living on rent. Excellent! A new low is reached every day. Every single day..

Anurag Dwary @Anurag_Dwary

6 days ago

Instead of addressing allegations of assault the defence of police revolves around him being an "outsider", living on rent, recording a video, and document discrepancies @GargiRawat

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No action was taken against this SHO till now. @spdhamtari Is trying to frame the victim only with multiple false accusations instead of taking action against his Gunda SHO. Can anyone from Dhamtari or nearby help us to connect with this victim? This Gunda SHO and incompetent SP need to be taught a lesson.

NCMIndia Council For Men Affairs @NCMIndiaa

6 days ago

Meet Chandrakant Sahu, SHO of Arjuni Police Station of Dhamtari district of Chhattisgarh who abused and assaulted a Man returning home with his wife and small kid. The Man was returning home after watching movie with his wife and child when the Khaki Gunda stopped his bike and

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Meet Chandrakant Sahu, SHO of Arjuni Police Station of Dhamtari district of Chhattisgarh who abused and assaulted a Man returning home with his wife and small kid. The Man was returning home after watching movie with his wife and child when the Khaki Gunda stopped his bike and took out the keys of the bike. Khaki Gunda slapped the Man even after he produced the movie ticket. Do you have any shame left in you or not @CGPoliceDept ? PS: The Man was also at fault because he addressed the Khaki Gunda as "TUM". Such Khaki Bhadwas need to be addressed as MC.

Database Design Series Day 3 Today's application: Blog Platform

Suhani @tiwarisuhani_11

a week ago

Database Design Series #2 — Notes Application

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These No BS engineering blogs are a goldmine for serious backend and infra engineers: 1. Netflix TechBlog 2. Uber Engineering 3. Engineering at Meta 4. Cloudflare Blog 5. Stripe Engineering 6. Slack Engineering 7. GitHub Engineering 8. Airbnb Tech Blog 9. Dropbox Tech Blog 10. DoorDash Engineering 11. Pinterest Engineering 12. LinkedIn Engineering 13. Spotify Engineering 15. Shopify Engineering 16. Datadog Engineering

If you are INTERESTED in learning/mastering System Design, Learn these Top 20 Modern System Design Case in 1 min:⬇️

Design patterns I expect senior backend devs to actually use in production: 1) Adapter: wrap vendor SDKs so you can swap Stripe/S3/Kafka without touching business code 2) Strategy: pick algorithms at runtime (rate limiting: token bucket vs fixed window) 3) State machine: model order/payment lifecycle, stop if/else soup, make retries safe 4) Circuit breaker + bulkhead: contain downstream failures, cap concurrency per dependency 5) Outbox + idempotency key: publish events without double sends, survive retries and deploys 6) Saga: multi-service workflows with compensations, not 2PC 7) CQRS (lightweight): separate write model from read projections when reads are messy 8) Decorator/middleware: auth, logging, tracing, metrics without copy-paste

Based on 50+ BigTech LLD interviews experience, sharing Leetcode problem sheet that prepares you for the low level design round involving classes, interfaces, and constraints. 1. LRU Cache LLD concepts: Cache interface, eviction policy, O(1) design 2. Design Parking System LLD concepts: Object modeling, enums, capacity handling 3. Design Browser History LLD concepts: State management, undo/redo 4. Design HashMap LLD concepts: Buckets, collisions, APIs 5. Design Circular Queue LLD concepts: Fixed capacity systems, buffer design 6. Design Hit Counter LLD concepts: Time-based aggregation, APIs 7. Design Underground System LLD concepts: Data modeling, aggregation, clear responsibilities 8. Design Authentication Manager LLD concepts: Token lifecycle, expiry, encapsulation 9. Logger Rate Limiter LLD concepts: Throttling logic, extensible design 10. Design File System LLD concepts: Tree structures, recursion, API design 11. Design Leaderboard LLD concepts: Encapsulation, efficient updates 12. Design Tic-Tac-Toe LLD concepts: Game state, validation, extensibility Some of these are premium problems that you can search on internet.

pulkit mittal @pulkit_mittal_

a week ago

This is all I had to learn to clear every design round i applied to including FAANGs. If you can spend 3-4 focussed hours with each system i've mentioned, you can win the world! Here’s a beginner-friendly list to start with: HLD: - URL Shortener - Pastebin - Rate Limiter - Key

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How short URLs are generated • Redirect flow • Redis caching • Database design • Load balancing • Scalability considerations

Suhani @tiwarisuhani_11

2 weeks ago

Today's System Design Concept Authentication, Authorization, Authentication Types & Proxies Authentication vs Authorization Basic Authentication Token Based Authentication (JWT) OAuth (Login with Google/GitHub) Forward Proxy Reverse Proxy

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so you have big goals but you’re lazymaxxing and procrastinating af? i follow a simple framework that keeps me moving even when there are no visible results yet. here’s how it works: i break every goal down into very small tasks that can be finished in 45-60 minutes max. then I work in two modes: planner mode: this is where i think. i question things, analyze trade-offs, and decide what’s worth doing. execution mode: once i start executing, there is no more debating. no overthinking. no renegotiating with myself. even if a task feels pointless in that moment, i have to do it. for example, if i create a task that i’ll go to the gym at 6am tomorrow, the decision is already made. morning-me doesn’t get a vote. there are a few other parts to this system as well. i’m planing to build an app around it to automate the whole process for myself. would this be useful for others too?

90% of Kubernetes interviews in 2026 come down to these 7 points: 1. Pods vs Deployments: what gets restarted, what gets rolled out, and why ReplicaSets exist 2. Services and DNS: ClusterIP vs headless, endpoint selection, and common port mistakes 3. Ingress and L7 routing: path rules, TLS termination, and where 404s actually come from 4. Requests/limits: scheduling vs throttling vs OOMKilled, and why limits can reduce throughput 5. Probes: startup vs readiness vs liveness, and how bad probes cause restart loops 6. Storage basics: PVC/PV/SC, access modes (RWO/RWX), and what happens on node drain 7. Debugging flow: kubectl get/describe/logs, events, exec, and how to reason from symptoms to root cause

One of the most important Backend & System Design interview questions: What is the N+1 Query Problem?

Suhani @tiwarisuhani_11

a week ago

Details of about database sharding

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3. Java (and Spring Boot) youtube.com/playlist?list=…