#Systemdesign

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#Systemdesign Reel by @codewithnishchal (verified account) - Comment "HLD" to get the complete flow or just take the screenshot. One System Design Flow for every HLD interview. Use the flow in your next interv
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@codewithnishchal
Comment “HLD” to get the complete flow or just take the screenshot. One System Design Flow for every HLD interview. Use the flow in your next interview, scale application from 1 to million users and modify your application services in between before servers. Hope it helps! Follow for more! #systemdesign #datastructure #hld #reelitfeelit
#Systemdesign Reel by @dhruvtechbytes (verified account) - Stop jumping between 10 different resources to learn System Design. This one YouTube channel is enough to take you from scratch → pro level. Just co
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DH
@dhruvtechbytes
Stop jumping between 10 different resources to learn System Design. This one YouTube channel is enough to take you from scratch → pro level. Just comment “LINK” and I’ll send the channel directly to your DM. No confusion. No resource hopping. Everything is explained in a structured way. [system design, hld, lld, software engineers, developers, microservices, kafka, redis, databases, distributed systems, tech]
#Systemdesign Reel by @arjay_the_dev (verified account) - 4 Levels of System Design Where are you? #systemdesign #coding #programming #softwareengineer
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@arjay_the_dev
4 Levels of System Design Where are you? #systemdesign #coding #programming #softwareengineer
#Systemdesign Reel by @indiafounder - "Coding will be the first to go." Anthropic CEO Dario Amodei on AI's impact on software jobs. In this powerful conversation, Dario Amodei, CEO of Anth
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@indiafounder
“Coding will be the first to go.” Anthropic CEO Dario Amodei on AI’s impact on software jobs. In this powerful conversation, Dario Amodei, CEO of Anthropic, shares his candid view on how AI will reshape the future of coding and software engineering. His core prediction: Coding — as we know it — will be the first major industry to be disrupted by AI. He makes a clear distinction: • Coding (task-level execution): Already being heavily automated by AI models. He believes this is the first layer to be replaced. • Software Engineering (end-to-end thinking): System design, architecture, debugging, decision-making — this will take longer, but AI will gradually expand here too. One of the most powerful ideas he shares is the “5% Rule.” If a human only needs to do 5% of a project while AI handles the other 95%, that human becomes 20x more productive. AI doesn’t just replace work. It amplifies leverage. But there’s a catch. As AI takes over 95–99% of tasks, the remaining 1–5% becomes harder — concentrated in areas where humans still have comparative advantage: judgment, strategy, edge cases, and accountability. The big question isn’t whether AI will change coding. It’s how quickly humans adapt to working in that final 5%. [Dario Amodei, Anthropic CEO, AI coding future, software engineering automation, AI productivity boost, 5 percent rule AI, coding jobs future, artificial intelligence disruption, generative AI programming, comparative advantage AI, tech jobs future] DarioAmodei #Anthropic #AI #FutureOfCoding #SoftwareEngineering
#Systemdesign Reel by @rizdev.in (verified account) - If you yawn while learning system design from books or videos then this tool might keep you interested in learning by keeping the learning session int
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@rizdev.in
If you yawn while learning system design from books or videos then this tool might keep you interested in learning by keeping the learning session interactive. Have been using this tool since few days and am liking it (it had saved me 15-20 minutes per system design topic) Follow @rizdev.in for more tech learning and optimisations ⚡️👀🫶❤️‍🔥 #softwaredeveloper #javaprogramming #coding #backenddeveloper #systemdesign
#Systemdesign Reel by @its_.koushal - Day 19 / 60 - System Design Series When your cache becomes full, which data should be removed? 🤔 That's where LFU (Least Frequently Used) comes in.
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@its_.koushal
Day 19 / 60 — System Design Series When your cache becomes full, which data should be removed? 🤔 That’s where LFU (Least Frequently Used) comes in. LFU removes the data that is used the least number of times, making sure the most frequently accessed data stays in cache for faster performance. This is one of the key cache eviction strategies used in scalable systems and an important concept for backend developers and system design interviews. Follow along if you want to master system design concepts used in real-world scalable systems. Save this reel so you don’t forget this concept later 🔖. #systemdesign #backenddevelopment #distributedsystems #softwareengineering #programming
#Systemdesign Reel by @thatcodergirlie (verified account) - Comment "blog" & I'll share the blog link & my notes with you in your DM 🤝🏻 (Make sure to follow else automation won't work) Topic: REST API Save
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@thatcodergirlie
Comment “blog” & I’ll share the blog link & my notes with you in your DM 🤝🏻 (Make sure to follow else automation won’t work) Topic: REST API Save for your future interviews 📩 #dsa #systemdesign #tech #coding #codinglife #restapi #webdev #api [dsa, system design, REST API, tech]
#Systemdesign Reel by @muskan.khannaa - You DO NOT need to learn everything to become a Data Engineer. People often prepare for mid-level roles while applying for entry-level roles. Here's
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@muskan.khannaa
You DO NOT need to learn everything to become a Data Engineer. People often prepare for mid-level roles while applying for entry-level roles. Here’s what actually mattered for me in the beginning when switching from testing to a data engineer role. 1. SQL(non-negotiable): You’ll need to know the basics and complexities of sql along including subqueries and window functions. If you’re not strong in SQL, you won’t be able to move forward in interviews. 2. Python concepts basics like lists, dictionaries, sets and basic problem solving. You can solve questions in other languages too but I’d suggest Python as it’s easy to learn. You don’t need hardcore DSA for most entry-level Data Engineering roles, but DSA is definitely important. 3. Data warehousing concepts like facts vs dimension, star vs snowflake schema, SCD Type 1,2 etc. Understanding concepts and what data warehousing is and why it’s there mattered more than tools. 4. ETL and data pipeline understanding. How data is extracted, transformed, loaded is the CORE of Data Engineering. You don’t need spark understanding in the beginning, just the understanding of how data flows in and out. 5. System design basics, not like design twitter/uber. Simple understanding of how data moves end to end and overall understanding of data eco-systems. No deep design is expected at entry-level. 6. Pick any one cloud. Don’t chase all clouds, just any one cloud and cover its basics because you’d most likely be working on some cloud in your work. I moved from Testing to Data Engineering by focusing on these basics, instead of trying to learn every other tool out there, and it is still the very core of Data Engineering which one must know to crack interviews. Save this if you’re planning to make a switch into Data Engineering. . . . . . [data engineering roadmap, entry level data engineer preparation, switching to data engineering, testing to data engineering, data engineer interview preparation, sql for data engineering, python basics for data engineer, data engineers for beginners, microsoft data engineer] #dataengineer #dataengineering
#Systemdesign Reel by @itsnextwork - System Design Interview prep Follow & Comment "Projects" for hands-on projects to add to your resume! OR... Head to learn.nextwork.org for access
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@itsnextwork
System Design Interview prep Follow & Comment "Projects" for hands-on projects to add to your resume! OR... Head to learn.nextwork.org for access #coding #softwareengineer #engineering #systemdesign
#Systemdesign Reel by @riteshbiswas.in - I learn System Design without getting overwhelmed. [system design, learn system design, system design interview, backend design, scalability, high le
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@riteshbiswas.in
I learn System Design without getting overwhelmed. [system design, learn system design, system design interview, backend design, scalability, high level design, low level design, requirements, api design, database schema, caching, load balancer, rate limiting, message queue, microservices, monolith, trade offs, architecture diagram, design patterns, distributed systems, sharding, replication, reliability, latency] #systemdesign #backend #softwareengineering #coding #programming
#Systemdesign Reel by @devshree.17 (verified account) - Top 75 Most Frequently asked System Design Questions❤️ In this reel, I have documented in detail: ✅Top 75 System Design Questions ✅Resource Links for
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@devshree.17
Top 75 Most Frequently asked System Design Questions❤️ In this reel, I have documented in detail: ✅Top 75 System Design Questions ✅Resource Links for each question ✅Category for each question ✅My personal roadmap & videos to watch for understanding concepts 📌Comment “Systems” to get the list into your DMs! #sql #indiansinusa #computersciencestudent #softwareengineer #womenintech
#Systemdesign Reel by @karrrtiiikkk (verified account) - How I went from 12 LPA → ₹1.25 Cr PA 1. I optimized for learning before optimizing for salary. At the start of my career, I chose roles that exposed
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@karrrtiiikkk
How I went from 12 LPA → ₹1.25 Cr PA 1. I optimized for learning before optimizing for salary. At the start of my career, I chose roles that exposed me to strong engineering practices, real ownership, and fast feedback loops. Higher pay comes naturally when your skill curve is steep. 2. I switched companies only when growth slowed, not when work got hard. Discomfort is good. Stagnation isn’t. Every switch I made was because I felt my learning had plateaued, not because I wanted a quick hike. 3. I intentionally worked with engineers who were better than me. Your peers influence your thinking, code quality, and ambition more than any course ever will. Strong teams force you to level up. 4. I prepared for interviews separately from my day job. Daily work doesn’t prepare you for interviews. DSA and system design need deliberate practice, even when your current role doesn’t demand it. 5. I acted like I was already at the next level. I took ownership early, thought in terms of impact, and solved problems end-to-end. Titles follow behavior, not the other way around. 6. I kept interviewing even when I was comfortable. Comfort is dangerous. Interviewing keeps you honest about your market value and exposes gaps you wouldn’t notice otherwise. 7. I learned to negotiate using data, not emotion. Companies expect negotiation. I anchored discussions with market data and competing offers, not desperation or ego. 8. I thought in multi-year career arcs, not annual increments. Big jumps don’t come from appraisals. They come from compounding skills, timing switches well, and playing the long game. Journey for context: Park+ → Uber → Zomato → Microsoft → Amazon UK (SDE 2 🇬🇧) If you’re early or mid-career, focus on building leverage, not chasing numbers. The compensation is just a by-product. 📌 Save this. Read it again in a year.

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