Use Cases and Scenarios of Distributed Systems
Distributed systems are very flexible and they are used across a wide range of use cases and scenarios. This is the reason why they are so powerful and have changed the way organizations used to manage their computing tasks and data processing.
- With frameworks that include Apache Hadoop and Spark, distributed computing principles can process data in parallel and in real-time. Therefore, large datasets can be analyzed.
- In Content Delivery Networks(CDNs), It is the distributed systems that deliver web content to users worldwide rapidly and successfully.
- Through the act of caching content on servers that are geographically nearer to the end-users, CDNs accomplish the reduction of latency and the improvement of the content delivery speed resulting in a better browsing experience for users.
- Distributing systems in CDN dynamically direct traffic to the nearest server, which implies high availability and reliability of the system, during the periods of high demand and network congestion.
Why Build a Distributed System?
Have you ever wondered why some systems are spread out over many computers instead of just one? Well, it’s because distributed systems offer some big advantages.
- Distributed systems are computing systems composed of multiple autonomous computers or devices that communicate and coordinate with each other to achieve a common goal.
- In this article, we’ll explore why people choose to build these kinds of systems and how they help us do things faster, safer, and more efficiently in our digital world.
Table of Content
- Benefits of Building Distributed Systems
- Use Cases and Scenarios of Distributed Systems
- Business and Technical Drivers in Distributed Systems
- Challenges and Considerations in Distributed Systems
Contact Us