#systemdesign #webapplication #template

𝐌𝐚𝐬𝐭𝐞𝐫 𝐭𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐟𝐨𝐫 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚𝐧𝐲 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞

1. Customers: End users who interact with the web application.

2. DNS (Domain Name System): Translates domain names into IP addresses.

3. Load Balancer: Distributes traffic across multiple servers for improved performance and availability.

4. Cache: Stores frequently accessed data for faster retrieval and reduced backend load.

5. Front-end: The user interface responsible for rendering, user input handling, and backend communication.

6. Message Queue: Manages asynchronous communication and tasks between front-end and back-end.

7. Back-end (Web Services): Contains business logic and handles user requests and data interactions.

8. Data Store: Stores and retrieves application data, including databases or other data storage systems.

9. Search Engine: Performs complex searches on large data sets efficiently (e.g., Elasticsearch).

10. CDN (Content Delivery Network): Distributes static assets for faster page loading and improved user experience.

11. Queue Workers: Process tasks from message queues, offloading resource-intensive operations.

These components work together to create a web application architecture that delivers a responsive and seamless user experience. The choice and configuration of these components depend on the specific requirements and goals of the application.

1 – It all starts with CI/CD pipelines that deploy code to the server instances. Tools like Jenkins and GitHub help over here.

2 – The user requests originate from the web browser. After DNS resolution, the requests reach the app servers. 3 – Load balancers and reverse proxies (such as Nginx & HAProxy) distribute user requests evenly across the web application servers.

4 – The requests can also be served by a Content Delivery Network (CDN).

5 – The web app communicates with backend services via APIs.

6 – The backend services interact with database servers or distributed caches to provide the data.

7 – Resource-intensive and long-running tasks are sent to job workers using a job queue.

8 – The full-text search service supports the search functionality. Tools like Elasticsearch and Apache Solr can help here.

9 – Monitoring tools (such as Sentry, Grafana, and Prometheus) store logs and help analyze data to ensure everything works fine.

10 – In case of issues, alerting services notify developers through platforms like Slack for quick resolution.

#WebApp #architecture #WebApplication