[MongoDB.local Bengaluru 2018] Rapid Development at Scale with MongoDB at Koinex
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Presented by: Rakesh Yadav, Co-founder, Koinex
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[MongoDB.local Bengaluru 2018] Rapid Development at Scale with MongoDB at Koinex
- 1. KOINEX MADE IN INDIA FOR THE LOVE OF BLOCKCHAIN RAPID DEVELOPMENT AT SCALE WITH MONGODB
- 2. SPEAKER Rakesh Yadav Co- Founder & CTO, Koinex https://www.linkedin.com/in/iitdrakesh/
- 3. AGENDA ❑ Koinex Overview ❑ Scalability problems with rapid growth ❑ How does MongoDB fit in Koinex ecosystem ❑ Alternate real-time services using MongoDB at Koinex ❑ Zero DevOps with Atlas platform
- 5. PRODUCT INDIA’S LARGEST DIGITAL ASSETS EXCHANGE MORE THAN 20 CRYPTO-FIAT PAIRS SUPPORT ON ANDROID PLATFORMS VIA APP REAL TIME TRADING CHARTS AND ORDER BOOK DATA INSTANT DEPOSITS/ WITHDRAWALS SUPPORTS LIMIT ORDERS AND STOP LIMIT ORDERS
- 6. STATS OVER 4,00,000 REGISTRATIONS 95% MARKET SHARE IN INDIA DURING DEC 2017 PEEK TRADE VOLUME : 260M USD/DAY 20B REAL TIME MESSAGES & 1M API CALLS/MIN FIFTH LARGEST RIPPLE EXCHANGE IN THE WORLD* PEAK ALEXA RANK #125 IN INDIA
- 7. FOCUS SECURITY AND INTRUSION DETECTION ADDING MORE CRYPTOCURRENCIES AS PER DEMAND INTEGRATING PAYMENT GATEWAYS & BANKING PARTNERS FAST ORDER MATCHING HANLDING HIGH SCALE AND LARGE TRADE VOLUMES
- 10. 20x SPIKE IN RIPPLE PRICE
- 12. 50x SPIKES IN RIPPLE VOLUMES DAY 0 DAY 120
- 13. EPIDEMIC GROWTH IN DATA SLOWER WRITES AND READS DUE TO LARGE INDEXES FREQUENT CPU SPIKES IN RDS SCALABILITY CHALLENGES
- 14. INITIALLY SCALED USING READ REPLICAS AURORA RDS GAVE 2x PERFORMANCE BUT THAT WAS NOT SUFFICIENT TWEAKING…autovacum, work_mem, shared_buffer_size REQUIRED WRITES TO SCALE ALONGWITH READS MASTER MASTER WRITES ? HIT & TRIALS REMEDIES
- 15. ORDER DATA (80%) PLATFORM DATA (20%) NATURE OF DATA • Transactional • Lots of Entity Relationships involved and is generated after doing denormalization • Rich query support required involving JOINS etc. • Slow growing • Non-Transactional • Generated without any impedance mismatch • CRUD operations required • Fast growing • Can easily be sharded for faster reads/ writes
- 16. IDEAL SHARDING STRATEGY ! NO CODE CHANGE LESS FREQUEST SHARD RE-SIZING AND CLUSTER RECONFIGURATIONS MINIMUM OR ZERO DEVOPS
- 17. HOW DOES MONGODB FIT IN KOINEX ECOSYSTEM
- 18. ❑ SCALABILITY WITH SHARDING OUT OF THE BOX SHARDING SUPPORT USING MONGOS ❑ FLEXIBLE DATA MODEL IMPEDENCE MATCHING BETWEEN BLOCKCHAIN RPC RESPONSES & MONGODB DOCUMENTS ❑ MONGODB - ATLAS FULLY MANAGED DBaaS ZERO DEVOPS WITH THE HELP OF ATLAS PLATFORM ❑ FASTER TIME TO MARKET EASY LEARNING CURVE FOR NEW DEVS MONGODB & ATLAS TO THE RESCUE
- 20. TRADE ENGINE
- 21. WALLET SERVICES
- 23. ALTERNATE REAL-TIME SERVICES USING MONGODB AT KOINEX
- 24. POWERING TRADING VIEW CHARTS USING OPLOG
- 25. CHART DATA PIPELINE ARCHITECTURE
- 29. AUTO RESIZING AS PER MARKET COST CUTTING WITH ONE CLICK WITH MINIMAL DOWNTIME
- 30. THE TEAM
- 31. THANK YOU WE ARE HIRING! careers@koinex.in