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hashnode's scalable serverless architecture: a deep dive with code examples

hashnode is a popular blogging platform for developers that leverages a serverless architecture to achieve scalability, reliability, and efficiency. this tutorial will delve into the core components of hashnode's architecture, highlighting the technologies used and providing practical code examples to illustrate key concepts.

*i. understanding the architectural philosophy*

hashnode's architectural philosophy revolves around breaking down the application into smaller, independent services that are easily scalable and maintainable. this approach offers several advantages:

*scalability:* each service can be scaled independently based on its specific needs. for example, the comment service can scale faster than the blog post creation service during peak hours.
*fault isolation:* if one service fails, it doesn't necessarily bring down the entire application.
*faster deployment:* smaller services are easier and faster to deploy, allowing for more frequent updates and bug fixes.
*technology diversity:* different services can be built using the most appropriate technology for their specific purpose.

*ii. core architectural components*

hashnode's architecture is built upon several key serverless technologies offered by cloud providers like aws, gcp, or azure. while the exact implementation might vary depending on hashnode's specific infrastructure choices, the core concepts remain consistent. let's explore these components:

1. *api gateway (aws api gateway, gcp cloud endpoints, azure api management):*

*role:* acts as the entry point for all external requests. it handles authentication, authorization, rate limiting, routing, and request transformation.
*benefit:* decouples the backend services from the client applications, providing a single, secure endpoint for all api interactions.
*example (aws api gateway):*



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