Raj is a Software Engineer at Invideo AI working with Elixir, where he spends his time building the best web based video creator application. He loves helping and mentoring others, and has channeled that into writing blogs on his personal website. When not coding for work or fun, Raj can usually be found with a book.
The talk presents a case study on optimizing Elixir code for demanding tasks. The challenge is to read a file containing one billion lines of weather data and generate a report with minimum, average, and maximum temperatures for each station.
Through this talk, the audience will learn how to benchmark and profile Elixir code, how to model problems in order to make the best use of concurrency in Elixir, and implement performance tuning strategies effectively. The talk unfolds as a story of performance transformation. Starting with code that initially took over 10 minutes to process the data, we’ll see how the runtime went down to just 25 seconds.
By the end of this talk, attendees will gain a deeper understanding of performance optimization in Elixir and leave equipped with practical tools and techniques to enhance their own applications.
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