Building PowerPulse ⚡ A platform that helps Nigerian businesses track Generator, NEPA & Inverter usage, calculate energy costs, and forecast fuel consumption. Built with Java, Spring Boot & PostgreSQL. #BuildInPublic #JavaDeveloper #TechInNigeria

I've been a backend Engineer for 12 years. Today, I'm a Principal Engineer at Atlassian. I've designed systems that handle millions of requests. Sat on both sides of system design interviews. Reviewed more architecture docs than I can count. Starting today, I'm breaking down the fundamentals of scaling for the next 25 days. If you're learning system design bookmark this thread, you're going to get a lot of learning from this.

𝟯𝟬 𝗕𝗹𝗼𝗴𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝟯𝟬 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀: 1. APIs: lnkd.in/dsbwPZ6N 2. API Gateways: lnkd.in/gtyXmvf4 3. JWTs: lnkd.in/ghtXYRqU 4. Webhooks: lnkd.in/geHxGX-7 5. REST vs GraphQL: lnkd.in/gM5VHKQS 6. Load Balancing: lnkd.in/gvxfwEUr 7. Proxy vs Reverse Proxy: lnkd.in/gMTtidBq 8. Scalability: lnkd.in/gPGhW-qK 9. Availability: lnkd.in/gQk2p4_6 10. SPOF: lnkd.in/gw_uHZWn 11. CAP Theorem: lnkd.in/g_tFqJJb 12. SQL vs NoSQL: lnkd.in/gHyC9qWc 13. ACID Transactions: lnkd.in/dB3QHiMz 14. Database Indexes: lnkd.in/g_-bQWtA 15. Database Sharding: lnkd.in/g9mc-d5m 16. Consistent Hashing: lnkd.in/gR9wFDpz 17. CDC: lnkd.in/gWhGwh9Z 18. Caching: lnkd.in/gBSeTstS 19. Caching Strategies: lnkd.in/dVk7nZ_Y 20. Cache Eviction Policies: lnkd.in/gQAEXEmq 21. CDN: lnkd.in/gaW4Vkpy 22. Rate Limiting Algorithms: lnkd.in/gYDxg8XY 23. Message Queues: lnkd.in/g-jnNGDC 24. Bloom Filters: lnkd.in/gfGjCrSZ 25. Idempotency: lnkd.in/gDB3AJij 26. Concurrency vs Parallelism: lnkd.in/gGZXhjBD 27. Long Polling vs WebSockets: lnkd.in/d9xKD28K 28. Stateful vs. Stateless Architecture: lnkd.in/gz_ccK-Y 29. Batch vs Stream Processing: lnkd.in/gKtj_qWh 30. Geohashing: lnkd.in/gjSbKdpN 🔁 Repost to help a friend. 📌 Save this post for later. Follow @imarun_chauhan for more resources daily 🚀

I created a Github repository to learn System Design, and I'm excited to share that it crossed 35k stars recently. The repository contains a collection of resources to study: - System Design Core Concepts - Networking and API Fundamentals - Database and Caching Fundamentals - Distributed Systems, Microservies and Architectural Patterns - System Design Tradeoffs - 40 interview problems categorized by difficulty level Check it out here: github.com/ashishps1/awesome… If you find the repo valuable, consider giving it a ⭐️ and share with others. Thanks to everyone who has starred or forked the repository!

Karpathy: “not business as usual”. Translation: 80% of SWE jobs are walking dead.

I often think about this quote

Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture on AI careers. It will teach you more about winning in the AI race than all the AI content you’ve scrolled past this year.

2 gone more to go, awesome match ops interface, with fewer clicks to enter match events. I'm loving this 🔥🔥🚀🚀🚀

We tested TourneyOps at a local football tuff yesterday ⚽🔥 Organizers shouldn’t be using paper or WhatsApp to run tournaments in 2026. Fixtures. Results. Standings. All in one place. This is just the beginning 👀 👉 tourneyops.com

Tested TourneyOps live at a tuff yesterday 🔥 Next match will be even smoother 💪 We’re building this WITH organizers, not just for them. tourneyops.com #TourneyOps #StreetFootball #NigeriaTech

System Design Roadmap │ ├── 1. Introduction to System Design │ ├── What system design is │ ├── Importance in real-world applications │ └── Key goals: scalability, reliability, performance │ ├── 2. Fundamental Concepts │ ├── Networking basics (HTTP, HTTPS, DNS) │ ├── Client-server architecture │ └── Latency vs throughput │ ├── 3. Databases & Storage │ ├── SQL vs NoSQL │ ├── Data modeling │ ├── Indexing │ └── Replication and sharding │ ├── 4. Scalability Principles │ ├── Vertical scaling │ ├── Horizontal scaling │ └── Load distribution │ ├── 5. System Components │ ├── Load balancers │ ├── Application servers │ ├── Databases │ ├── Cache (Redis, Memcached) │ └── CDN │ ├── 6. Caching Strategies │ ├── Client-side caching │ ├── Server-side caching │ └── Cache invalidation │ ├── 7. Distributed Systems │ ├── CAP theorem │ ├── Consistency models │ ├── Fault tolerance │ └── Consensus basics │ ├── 8. API Design │ ├── RESTful APIs │ ├── Rate limiting │ └── Authentication & authorization │ ├── 9. Message Queues & Async Systems │ ├── Event-driven architecture │ ├── Queues (Kafka, RabbitMQ) │ └── Background processing │ ├── 10. Designing Real Systems │ ├── URL shortener │ ├── Chat system │ ├── File storage system │ └── News feed system │ ├── 11. Monitoring & Reliability │ ├── Logging │ ├── Metrics and alerts │ └── High availability │ └── 12. Interview Strategy ├── Clarify requirements ├── High-level design first ├── Deep dive into components └── Discuss trade-offs →Grab the System Design Roadmap Handbook → codewithdhanian.gumroad.com/…

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As a Backend dev , how many concepts can you explain from below : 1. Event-Driven Architecture 2. Saga Pattern 3. CQRS (Command Query Responsibility Segregation) 4. Event Sourcing 5. Circuit Breaker Pattern 6. Distributed Tracing 7. CAP Theorem 8. Idempotency 9. Data Sharding 10. API Gateway

Learn DevOps by playing games 🎮 1. Kubernetes K8sgames.com 2. DevOps devops.games 2. Linux overthewire.org 3. Git ohmygit.org 4. Python tynker.com 5. 25 programming languages codingame.com

Ah yes, the classic microservices tutorial. Step 1: Create Service A. Step 2: Create Service B. Step 3: Call Service B from Service A. Step 4: Everything works perfectly. THE END. No failures. No retries. No distributed tracing nightmares. No "why is this working in dev but not in prod?" Real microservices are nothing like that. I put together a complete Spring Boot Microservices series that covers what actually happens — the failures, the edge cases, the "I wish someone had told me this" moments. Because the happy path is easy. It's everything else that gets you. youtube.com/playlist?list=PL… #Java #SpringBoot #Microservices

If you master arrays, hashmaps, two pointers, sliding window, and DFS/BFS… you’re already covering half the interview questions.

Everything you need to know for coding interviews in one roadmap. Coding Interviews │ ├── 1. Data Structures │ ├── Arrays │ ├── Strings │ ├── Hashmaps │ ├── Linked Lists │ │ ├── Singly │ │ └── Doubly │ ├── Stacks │ ├── Queues │ ├── Deques │ ├── Heaps / Priority Queues │ ├── Trees │ │ ├── Binary Tree │ │ ├── Binary Search Tree │ │ ├── AVL Tree │ │ └── Red-Black Tree │ ├── Tries │ ├── Segment Trees │ └── Fenwick Trees │ ├── 2. Core Problem Patterns │ ├── Two Pointers │ ├── Sliding Window │ ├── Binary Search │ ├── Recursion │ ├── Backtracking │ ├── Greedy Algorithms │ ├── Divide & Conquer │ └── Sorting │ ├── Merge Sort │ ├── Quick Sort │ └── Heap Sort │ ├── 3. Dynamic Programming │ ├── Memoization │ └── Tabulation │ ├── 4. Graph Algorithms │ ├── BFS │ ├── DFS │ ├── Topological Sort │ ├── Dijkstra │ ├── Bellman-Ford │ ├── Floyd-Warshall │ ├── Kruskal │ ├── Prim │ └── Union Find │ ├── 5. Advanced Techniques │ ├── Bit Manipulation │ ├── XOR Tricks │ ├── Prefix Sums │ ├── Difference Arrays │ ├── Kadane’s Algorithm │ ├── KMP │ ├── Rabin-Karp │ ├── Z Algorithm │ └── Manacher’s Algorithm │ ├── 6. Object-Oriented Design │ ├── SOLID Principles │ └── Design Patterns │ ├── Singleton │ ├── Factory │ ├── Builder │ ├── Adapter │ ├── Observer │ ├── Strategy │ └── Visitor │ ├── 7. System Design │ ├── CAP Theorem │ ├── Load Balancing │ ├── Caching (LRU / LFU) │ ├── SQL vs NoSQL │ ├── Sharding │ ├── Replication │ ├── Message Queues │ │ ├── Kafka │ │ └── RabbitMQ │ ├── Microservices │ └── API Gateway │ ├── 8. Design Problems │ ├── URL Shortener │ ├── Twitter │ ├── WhatsApp │ ├── Netflix │ ├── Google Drive │ ├── Payment System │ ├── Notification System │ └── Live Streaming Platform │ └── 9. Interview Survival Skills ├── Thinking Out Loud ├── Recovering from Bugs ├── Explaining Tradeoffs └── Staying Calm Under Pressure Save this before your next interview.

Tech Lead tells you to delete orderid 123 and sends this query : DELETE FROM orders WHERE order_id <> 123; Whats your next step?

System Design was hard until I watched these videos