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SOLVVE / FishRanger · 2014

FishRanger: Weather Data Pipeline and Faster Search

Led a team of three building weather data collection, processing and display. Cut the search index from gigabytes to several megabytes.

Project context

Led a three-person team developing a system for collecting, processing and displaying meteorological data.

My engineering contribution

  • Led development and design of the weather-data aggregation project.
  • Worked on efficient collection, processing and presentation of meteorological information.
  • Reduced the search index from gigabytes to several megabytes.

Results & scope

Combined team leadership with data-processing and search work. The reduced index size improved system efficiency and search performance.

This is my part of the team's work, measured in that project. Your baseline will be different, and I measure it before changing anything.

Technologies used

  • PHP
  • Yii
  • Laravel
  • MySQL
  • JavaScript

Explore the related service

Practical reading

Process memory leak: what to check before buying RAM

MySQL slow log: what to read before you refactor

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