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What is Scalability and its Types? | Scalability and its types explained in-depth | Tamil
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What is Scalability and its Types? | Scalability and its types explained in-depth | Tamil
Scalability refers to a system's ability to efficiently handle growth in users, data, features, and complexity without sacrificing performance. In this video, we explore how systems grow—whether through a larger user base, additional features, or increased data—and the techniques to scale them effectively. Key strategies include:
1. Vertical Scaling (upgrading hardware to handle more load)
2. Horizontal Scaling (adding more machines to distribute traffic)
3. Load Balancing (distributing requests across servers)
4. Caching (storing frequently used data for quicker access)
5. Microservices (breaking systems into smaller, scalable services)
6. Auto-Scaling (dynamically adjusting capacity based on demand)
7. Multi-Region Deployment (deploying in multiple locations to reduce latency)
Real-world examples from Netflix, Uber, AWS, and Spotify demonstrate how large platforms scale to meet user demands efficiently.
00:00 - Intro
00:18 - Scalability
00:48 - Scaling
01:20 - How scalability calculated?
02:20 - Use Cases
03:24 - Growth in Features
04:13 - Data Volume
04:50 - Complexity
05:43 - Geographical Based Data
06:39 - Vertical Scaling
07:25 - Horizontal Scaling
08:05 - Load Balancing
09:05 - Caching
10:23 - Content Delivery Network (CDN)
12:08 - Data Partitioning
13:24 - Asynchronous Communication
14:30 - Microservices Architecture
16:25 - Auto-Scaling
16:55 - Multi-Region Deployment
18:00 - Conclusion
📢📢📢📢 Social Media Links 📢📢📢📢
Your support means the world to me! 🙌 Let's build an awesome community together. 🌍✨
Scalability refers to a system's ability to efficiently handle growth in users, data, features, and complexity without sacrificing performance. In this video, we explore how systems grow—whether through a larger user base, additional features, or increased data—and the techniques to scale them effectively. Key strategies include:
1. Vertical Scaling (upgrading hardware to handle more load)
2. Horizontal Scaling (adding more machines to distribute traffic)
3. Load Balancing (distributing requests across servers)
4. Caching (storing frequently used data for quicker access)
5. Microservices (breaking systems into smaller, scalable services)
6. Auto-Scaling (dynamically adjusting capacity based on demand)
7. Multi-Region Deployment (deploying in multiple locations to reduce latency)
Real-world examples from Netflix, Uber, AWS, and Spotify demonstrate how large platforms scale to meet user demands efficiently.
00:00 - Intro
00:18 - Scalability
00:48 - Scaling
01:20 - How scalability calculated?
02:20 - Use Cases
03:24 - Growth in Features
04:13 - Data Volume
04:50 - Complexity
05:43 - Geographical Based Data
06:39 - Vertical Scaling
07:25 - Horizontal Scaling
08:05 - Load Balancing
09:05 - Caching
10:23 - Content Delivery Network (CDN)
12:08 - Data Partitioning
13:24 - Asynchronous Communication
14:30 - Microservices Architecture
16:25 - Auto-Scaling
16:55 - Multi-Region Deployment
18:00 - Conclusion
📢📢📢📢 Social Media Links 📢📢📢📢
Your support means the world to me! 🙌 Let's build an awesome community together. 🌍✨
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