programming languages as I learned it

1. SYSTEM DESIGN KNOWLEDGE  2. OBSERVABILITY  3. HEALTH CHECK S 4. SMOKE TESTS 5. 85+% CODE COVERAGE  9. LOGGING  10. ALERTS / NOTIFICATIONS  12. CODE REVIEW S , 24 HOURS  13. SECURITY  - THREAT MODEL  - CAREFUL AND SHARING APP DATA ON VARIOUS PLATFORMS  14. KNOWLEDGE MANAGEMENT  - REVIEW ARCHITECTURE  - REVIEW NW DIAGRAM  - REVIEW CONTEXT DIAGRAM  - C4 DIAGRAMS  - REVIEW, UPDATE AMD CLEAN UP DOCS -WAR 15. TESTING  - UNIT TESTS - COMPONENT TEST  - INTEGRATION TEST - E2E TEST - REGRESSION TEST - MOCK/FAKE TEST DATA 16. DATABASE  -  17. CODE MANAGEMENT  -  18. RELEASE MANAGEMENT  - CRQ - APPROVAL S - POST RELEASE, WHITE GLOVES TESTING 

Here's a deep dive into each of the 16 system design concepts, explained clearly with real-life analogies to help you master them 💡: --- 🧠 1. Consistent Hashing Concept: Distributes data across nodes in a way that minimizes reorganization when nodes are added or removed. Real-life analogy: Imagine a pizza delivery service that assigns orders based on customer addresses. If a new delivery person joins, consistent hashing ensures only a few addresses need to be reassigned, not all. --- 🧩 2. Sharding Concept: Splits a database into smaller, faster, more manageable parts called shards. Real-life analogy: Think of a library with books sorted by genre. Instead of one massive shelf, each genre has its own section (shard), making it easier to find books. --- ⚖️ 3. CAP Theorem Concept: In distributed systems, you can only guarantee two of the following three: Consistency, Availability, Partition Tolerance. Real-life analogy: A group chat during a storm (network partition). You can either...