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Scaling a Social Media Analytics Platform

Tech Stack: Svelte, Python, MongoDB, Kubernetes

Background: A marketing firm required a scalable analytics dashboard to monitor social media campaigns.

Challenge: Existing systems couldn’t handle high volumes of data from multiple platforms.

Solution: Svelte was used for a lightweight UI, Python for data processing, MongoDB for handling unstructured data, and Kubernetes for scaling.

Impact:

  • Performance: Handled 10x more data without lag.
  • Insights: Real-time analytics improved campaign ROI by 25%.
  • User Base: Increased platform adoption by 40%.

Tech Stack: Svelte, Python, MongoDB, Kubernetes Background: A marketing firm required a scalable analytics dashboard to monitor social media campaigns. Challenge: Existing systems couldn’t handle high volumes of data from multiple platforms. Solution: Svelte was used for a lightweight UI, Python for data processing, MongoDB for handling unstructured data, and Kubernetes for scaling. Impact:

Tech Stack: Svelte, Python, MongoDB, Kubernetes Background: A marketing firm required a scalable analytics dashboard to monitor social media campaigns. Challenge: Existing systems couldn’t handle high volumes of data from multiple platforms. Solution: Svelte was used for a lightweight UI, Python for data processing, MongoDB for handling unstructured data, and Kubernetes for scaling. Impact: