Jruby - The Love Saga : Talk at RubyConf India 2025

This presentation was made at Ruby conf India 2025 in the talk explaining Jruby, its superpowers, application of Jruby in variety of use-cases like in Data platforms and Model Context Protocol.

1. { Jruby - ‘ The Love Saga’ } [ RubyConf India 2025 ] title.rb jruby.css puts “ By Rakesh Jha ”

2. { Recreation in Bollywood Style : The Proposal } } proposal .rb Github

3. { The Flashback } } jruby.css jvm_ruby .rb

4. { Who Am I ? } /in/imrakeshjha jrakesh.github.io < 13+ years experience < Vice President, S&C Engineering at MSCI

5. { The Screenplay } < Starter Prologue < Main Course Saga < Dessert Epilogue screenplay.rb jruby.css

6. { The Prologue} Pic credit . Flickr Who are these Champions?

7. } prologue_1.rb { What is Jruby ? } { How many of you used J ruby ? }

8. } prologue_2.rb

9. } prologue_3.rb

10. } prologue_4.rb

11. { Concurrency vs Parallelism } } saga.rb

12. } saga.rb

13. { Beyond GIL } Threads across multiple CPU cores. } saga.rb

14. { Beyond GIL } Superior throughput for computationally intensive tasks. } saga.rb

15. Benchmark .bm do |x| x. report ( "JRuby Parallel" ) do threads = [] num_threads = 4 num_threads.times do threads << Thread.new { fibonacci(35) } end threads. each (&:join) … { Multi-core Parallelism }

16. { Multi-core Parallelism }

17. { Inter operability }

18. { Inter operability } # Using standard Java ArrayList require 'java' java_import 'java.util.ArrayList' my_list = ArrayList.new my_list.add("JRuby") my_list.add("Rocks!") my_list . each do |item| puts "Item: #{item} " end

19. { JIT Superpower } def calculate_sum(n) # logic end # Call many times 100000.times do calculate_sum(1000) end

20. Ruby to JVM bytecode { JIT Superpower } "H otspot " Identification Native machine code compilation

21. require 'java' java_import 'org.deeplearning4j.nn.model.TextSentiment' class SentimentAnalyzer … def analyze(text) sentiment = @model.predict(text) sentiment.to_s end … { AI/ML & Jruby }

22. { Pipe line }

23. {Data Pipe line }

24. {Data Ingestion } Annual Report Electricity Consumed (kWh) Waste Generated (Kg) Employee Commute (Km)

25. {Model Calc } Convert to GHG Emissions Electricity Consumed (kWh) 100,000 kWh * 0.5 /kWh = 50,000 Co2e 50 tonnes Co2e

26. {Data Release } 50 tonnes Co2e Company’s total GHG emissions from electricity consumption for the year was 50 tonnes of Co2e 10% reduction from last year

27. { Gen AI } { Wave-1: Magic } Write a song on pizza in the style of Ghalib Write a joke for my son to make him smile

28. { Gen AI } { Wave-2: Adoption } { Wave-3: New Age Tools } Summarization of large document, Study plans Copilot, MS tools, Cursor, Perplexity etc.

29. { Gen AI } { Problem of Multi verse } Multiple tools - Teams chat, VS Code etc Multiple AI Worlds Context

30. { Gen AI } { Example from Data Platform world } Explain what caused the data change and share with me the E2E lineage

31. { MCP } Data Analyst/Dev Teams Chat Docs DB JIRA Github

32. { MCP } { Function Calling vs Model Context Protocol }

33. { MCP } Bot Teams Chat Docs DB JIRA Github T T T T T

34. { MCP } Bot Client Server DB Connector Heavy lifting

35. { Data App } Article Github

36. { Take Away } Evolution Superpowers and Core DNA Use-cases: Data Platform, MCP application

37. { Thank You ! }