What is Cloud Computing? Explained in Simple Words

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Nowadays the world of internet is changing very fast. Earlier we used to keep all the data and software in our computer, mobile or laptop. But now you can store data, run apps and use servers from your phone or computer while sitting in any corner of the world. This is Cloud Computing . Many people hear this name but do not understand what it is. In this blog we will understand Cloud Computing in easy Hindi and know how it works, what are its advantages and disadvantages, and why it is important for us. What is Cloud Computing? In simple terms, Cloud Computing means using servers, storage, and software over the Internet without having to keep them on your computer. This means that you do not need to keep your data or programs on your computer. You can store and use your data, files or applications on another company's server (computer) via the Internet. For example, you must have heard the names of Google Drive, Dropbox, iCloud. All these are cloud services. In these, your d...
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How Can a Scalable Microservices Architecture Be Constructed?

1. Decoupling Design

To prevent bottlenecks, make sure every microservice runs independently and minimizes dependencies.


2. Adopt an API-First Perspective

To enable services to interact effectively and develop without causing disruptions, use well-defined APIs.

3. Put Auto-Scaling in Place

To automatically scale services based on demand, use orchestration tools like Kubernetes or cloud-native features.


4. Apply Containerization

Use containers (like Docker) to deploy services so that scaling is easier and consistency is maintained across environments.

5. Use Architecture Driven by Events

Incorporate event-based asynchronous communication to improve responsiveness and service decoupling.


6. Make Configuration Management Centralized

For consistency across services, manage configurations centrally using tools such as Consul or Spring Cloud Config.

7. Observe and Record Frequently

Use centralized logging and monitoring (Prometheus, ELK stack, etc.) to preserve performance and obtain insights.


8. Assure Tolerance of Faults

To handle service interruptions politely, build in failsafe measures such as circuit breakers and retries.

9. Enhance Database Access

For each microservice, use a different database, and select the appropriate kind (SQL/NoSQL) based on the requirements of the service.

10. Give security top priority

To safeguard services, use security best practices like identity management, encryption, and API gateways.



Using this method will assist you in creating a microservices architecture that will grow with your needs.

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