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SSOperating systems in 60 seconds
@sshirg
#Systems Engineering Management Techniques
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INConstruction Project Management – Ek Project Manager Ki Kahani!
7️⃣ Execution & Monitoring – Site Pe Kaun Dekh Raha Hai? 🚀
🔹 Daily inspections karo – quality check zaroori hai!
🔹 Delays track karo – schedule aur budget dono barbaad nahi hone chahiye!
🔹 Issues turant resolve karo – warna client phir se meeting bula lega! 😩
✍️ Reality Check: Lean construction methods use karo – ‘Kaam time pe hoga’ yeh bas bolne ka nahi, karne ka bhi hai! 🔥
@indiasno1constructionpodcast
6.5K
EMHere are 5 critical topics to master as a full-fledged embedded systems engineer:
1. Embedded C / C++ Programming & RTOS Concepts.
2. Microcontrollers, Peripherals & Hardware Interfacing
3. Hardware Fundamentals & Electronics Knowledge
4. Data Structures
5. Linux Internals.
Follow & comment down "Syllabus" and ill dm the detailed course structure.
#EmbeddedSystems #Engineering #TechCareer #Microcontroller #RTOS #IoT #TechTips #EngineeringLife #EmbeddedProgramming #TechEducation"
@embedded_pulse
24.3K
KEBuilding your circuit ideas is easy! No really, it looks more complex the it is. The best way to get better at it, is to learn the basics and immediately jump into building your own projects. This forces you to open schematics and get creative. So get started! #electronics #building #engineer
@kev.jeffriess
153.8K
EMComment “microservice” and I’ll send it.
If you’re building systems that need to scale and evolve independently, monoliths won’t take you far.
This guide breaks down what actually matters in microservice architecture, and how to start applying it properly.
@emrcodes
363.1K
SK3D Model Visualization using ESP32 & Gyro Sensor on Webserver 🔥🔥
Follow - @skr_electronics_lab
#3D #esp32 #tech #engineer #engineering #electronics #electronica #scientist #skr_electronics_lab #computer #ai #hacking #innovation #technology #cybersecurity #diy
@skr_electronics_lab
78.3K
TETop 12 System Design Concepts Every Software Engineer Should Know 🚀
If you want to design scalable, reliable systems or crack backend/system design interviews, you must understand these core concepts:
• Load Balancing
• Caching
• API Gateway
• Service Discovery
• Rate Limiting
• Auto Scaling
• CDN (Content Delivery Network)
• Message Queue
• Circuit Breaker Pattern
• Database Sharding
• Consistent Hashing
• Publish–Subscribe Pattern
These concepts power real-world systems used by companies like Netflix, Uber, Amazon, and Google.
Understanding them will help you build high-performance distributed systems.
💾 Save this post for your System Design learning journey.
👇 Comment “SYSTEM” and I’ll share a complete System Design learning roadmap.
#systemdesign #backenddeveloper #softwareengineering #java #springboot
@techroadmaps.in
508.2K
CIHow modern construction teams are using projection mapping to verify layouts and minimize rework.
Are You Ready to Move with the New World of Technology?
The construction industry is gradually but decisively transitioning from manual setting out to digital precision layout.
The evolution is clear:
• From builder’s square
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• To Robotic Total Stations & Advanced Laser Layout Tools for professional construction layout
What These Technologies Are
Robotic Total Stations and advanced laser layout tools are high-precision, laser-guided instruments designed to transfer digital drawings (CAD/BIM) directly onto construction sites with millimetre accuracy.
They eliminate:
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What you get instead is speed, accuracy, consistency, and efficiency.
This is powerful technology:
AI + digital design + precision equipment.
A Word of Caution
Do not allow technology to sweep you off your feet.
Move with the speed of technology—don’t resist it.
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Upgrade Your Tools
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#EyesightTools
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@civil.house.2d
826.6K
ELLet’s solve this control systems exercise together: find the steady-state value of the step response of the system illustrated in the block diagram.
Comprising the closed-loop system architecture are the following fundamental components that allow for self-correction:
* The Controller (G_c): The “brain” that processes the signal.
* The Process or Plant (G): The physical system we are trying to influence.
* The Output Transducer (H): Often a sensor that measures the output and feeds it back to the start.
🔄 The Power of Feedback
Without feedback, a system is “blind” to external disturbances. Feedback allows us to compare where we are (Output) with where we want to be (Reference Input). If there is any difference between the two, the system drives the plant, via the actuating signal, to make a correction.
In this specific problem, our output transducer, or sensor, has unity gain, which means that H(s)=1. This is a special case where the actuating signal is precisely the error signal as it is the actual difference between the input and output.
⏱️ Efficiency via the Final Value Theorem
One of the most elegant tools in a control engineer’s toolkit is the Final Value Theorem (FVT). Usually, finding the steady-state behavior of a system would require us to perform an Inverse Laplace Transform to get back into the time domain, y(t), and then calculate the limit as t approached infinity.
FVT lets us skip the heavy lifting. By analyzing the behavior as s tends to 0 in the frequency domain, we can predict the system’s long-term “resting point” without ever leaving the s-plane.
#electrical #electricalengineering #controlsystem #electronics
@electricalmath
87.2K
VI5 System Design Topics YOU MUST KNOW ⚙️
If you’re preparing for cloud or backend job interviews, these concepts show up again and again; not as theory, but as how you think at scale.
From API design and rate limiting, to message queues that handle traffic spikes, and finally how microservices talk to each other without breaking everything, this is the backbone of modern systems.
If you understand why these exist and when to use them, you’re already ahead of most candidates.
What should I break down next in detail?
Let me know in the comments!
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[system design interview, cloud interview prep, backend system design, microservices architecture, caching strategies, database scaling, rest api, what is api, cloud engineering concepts, bytebytego system design, system design case studies, backend interview, interview questions, system design for job interview, lld, hld, devops, cloud tutorial, women in tech, system design for faang]
@vishakha.sadhwani
9.0M
JUYou’ll figure it out eventually 😂
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#university #college #engineering #collegeadvice
@juiceditup
909.9K
CHHandling 1 Million RPS isn’t about code — it’s about smart architecture.
1️⃣ Traffic Distribution (Load Balancers)
➡️ Spreads incoming requests across many servers so nothing overloads.
Example: 1M requests split across 200 servers = ~5K requests per server.
⸻
2️⃣ Scale Out, Not Up (Horizontal Scaling)
➡️ Add more machines instead of making one server bigger.
Example: Flash sale traffic? Instantly launch 50 new API instances.
⸻
3️⃣ Fast Reads with Cache
➡️ Use Redis/Memcached to avoid hitting the database every time.
Example: Cached user data = millions of DB calls saved daily.
⸻
4️⃣ Edge Delivery with CDN
➡️ Static content loads from servers closest to the user.
Example: Users in Delhi fetch images from a Delhi CDN node.
⸻
5️⃣ Background Work with Queues
➡️ Heavy tasks run asynchronously so APIs respond instantly.
Example: Payment succeeds now, email receipt sent in background.
⸻
6️⃣ Split the Database (Sharding)
➡️ Divide data across multiple databases to handle scale.
Example: Usernames A–M on one shard, N–Z on another.
⸻
7️⃣ Rate Limiting
➡️ Prevent abuse and traffic spikes from taking the system down.
Example: Limit clients to 100 requests/sec to block bots from killing the API.
⸻
8️⃣ Lightweights Payloads
➡️ Smaller payloads = faster responses + less bandwidth.
Example: Send only required fields instead of massive JSON blobs.
Please follow for more such videos🙏
#systemdesign #softwaredevelopers #programming #tech #interview
[API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
@chhavi_maheshwari_
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