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Webinar: Low-latency real-time data streaming
Process 600,000+ messages per second with <0.25sec latency
August 30 | Wednesday
4 pm SGT / 6 pm AEST
1 hour
Sibedge
About Sibedge
Sibedge is a full-cycle software development company operating in the APAC region with 300+ completed projects across 12 technology stacks in fintech, edtech, healthcare, industrial and other segments.
About the webinar
- For those who want to design and develop a bespoke realtime data streaming solution and get rid of third party data feeds and platforms like Hazelcast and Confluent
- For those who want to increase the performance of existing data streaming capabilities regardless of the industry
- For everyone interested in low-latency real-time data processing
Experts from Sibedge will share their experience in creating a high-performance data streaming solution for a leading financial data management company. This company serves 100+ hedge funds. They also work with traditional institutions and banks, exchanges, wallet providers, trading desks, protocols, and everything in between. The solution was created with institutional standards, such as AICPA Service and Organization Controls (SOC).
In this webinar you will discover how to handle 600,000 messages per second using Kafka Streams with a guaranteed latency of <0.25 sec and build an architecture capable of integrating with 100+ trading and FX platforms like Binance.
In this webinar you will discover how to handle 600,000 messages per second using Kafka Streams with a guaranteed latency of <0.25 sec and build an architecture capable of integrating with 100+ trading and FX platforms like Binance.
This webinar will provide insights into:
Developing a Proof of Concept (PoC)
How to plan and execute a successful PoC for your data streaming solution
Performance Optimization Techniques
Discover ways to enhance the performance of your data streaming solution
Overcoming Challenges
Explore methods to tackle common challenges, such as slow (de)serialization and inefficient data recording
Performance Benchmarks
Get an in-depth analysis of various open-source technologies related to data streaming
Our Speakers
Alex Lisunov
Head of Java Practice, Solution Architect at Sibedge
- Drives and owns architectural design strategies and their realization for the high availability fintech services at Sibedge
- 12 years of experience in data management software, financial services: trading platforms, payment processors, digital banks
Teo Vares
VP of APAC at Sibedge
- The happiest face of Sibedge, event moderator
- 15 years in international consulting and IT business development in APAC and Nordics
Ivan Uskov
Tech Lead at Sibedge
- The team lead of the data streaming project, responsible for R&D and implementating serialization optimization techniques. Made his way from DSL-Json and Jackson to his own data parser. Proficient in serialization frameworks like Avro, Kryo and Protobuff
- Java geek, 6 years in system design and software development of high load applications
What you'll get
A full understanding of how to build your own bespoke data streaming solution
From a PoC to validate a system design to scaling a solution to achieve millions of processed messages per second
For registrants: a one-page "how-to" guide on optimizing serialization costs
One of the ways to enhance the performance of your data streaming solution is by optimizing serialization costs. Get a step-by step guide on how to tackle this challenge
A consultation with our experts
For two business weeks after the webinar you can schedule a free, no-strings-attached consultation with our experts to help you
Don't miss this opportunity
Enhance your data streaming capabilities!
