๐ ๐ฎ๐๐๐ฒ๐ฟโ๐ฆ๐น๐ฎ๐๐ฒ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ - rnakidi/dsa GitHub Wiki
๐ ๐ฎ๐๐๐ฒ๐ฟ-๐ฆ๐น๐ฎ๐๐ฒ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ โ One common mistake when learning system design is applying a solution universally without considering its suitability for the problem.
Take database architecture, for example. Master-slave architecture works well in certain scenarios but might not fit every use case.
Consider an e-commerce platform during a sale. Thousands of users browse products (reads), while others place orders (writes).
Handling both operations on a single database can lead to performance bottlenecks. Master-slave architecture offers a structured way to distribute this load.
โข ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ: Handles write operations like order placement or inventory updates.
โข ๐ฆ๐น๐ฎ๐๐ฒ ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ๐: Handle read operations like displaying product details, reducing the masterโs load.
โข ๐ฅ๐ฒ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป:
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๐๐๐๐ป๐ฐ๐ต๐ฟ๐ผ๐ป๐ผ๐๐: Updates slaves with minimal delay but may cause temporary data inconsistencies.
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๐ฆ๐๐ป๐ฐ๐ต๐ฟ๐ผ๐ป๐ผ๐๐: Ensures real-time consistency but can introduce latency.
โข ๐ค๐๐ฒ๐ฟ๐ ๐๐ฎ๐น๐ฎ๐ป๐ฐ๐ฒ๐ฟ: Write requests go to the master, while read requests are sent to the slaves. This separation optimizes performance during high traffic.
โข ๐๐ฎ๐ถ๐น๐ผ๐๐ฒ๐ฟ: If the master fails, a slave can be promoted to act as the new master, ensuring the system remains operational.
๐ช๐ต๐ ๐จ๐๐ฒ ๐๐?
Scales read-heavy applications efficiently.Improves overall performance by separating reads from writes.Provides redundancy, as slaves act as real-time replicas of the master.
๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป๐
A single master can become a bottleneck for write-heavy workloads.
Requires careful management of replication and failovers.Asynchronous replication may cause stale data on slaves.
๐๐ฎ๐ป ๐ช๐ฒ ๐๐ฎ๐๐ฒ ๐ ๐๐น๐๐ถ๐ฝ๐น๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐?
Yes, for write-intensive systems, ๐บ๐ฎ๐๐๐ฒ๐ฟ-๐บ๐ฎ๐๐๐ฒ๐ฟ ๐ฟ๐ฒ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป can distribute the write load. However, it introduces challenges like conflict resolution and increased complexity.
Master-slave architecture is not a one-size-fits-all solution. Understanding the problem and evaluating options like master-master or distributed databases is key to effective system design.
Source/Credit: https://www.linkedin.com/posts/kaushit_systemdesign-activity-7275867893903323136-6QdA?utm_source=share&utm_medium=member_desktop