In this episode I talk to Andras Gerlits, who founded omniledger.io. Andras has a very interesting view on how Distributed Consistency should work that can get rid of several bottlenecks when it comes to maintaining Distributed consistency.
He argues how getting rid of a global wall clock and using causality to approach Distributed consistency helps you build resilient, simple and performant systems. We have gone deeper into how that can be achieved and how the product works.
Chapters:
00:00 Introduction
00:52 Andras's Journey into Distributed Consistency
03:04 The Evolution of Data Consistency in Banking and Beyond
08:04 Introducing Client-Centric Consistency
10:36 Exploring the Standard Model of Distributed Consistency
16:01 Redefining Strong Consistency with a Relativistic Approach
34:25 Practical Implications of Client-Centric Consistency in Banking
36:20 Mitigating Latencies and Partitions in Distributed Systems
41:08 Exploring System Reliability and Availability
41:52 Tuning System Properties for Specific Use Cases
43:07 Comparing Standard and New Models for Data Management
45:08 Understanding Local Progress and Mutex-Free Updates
47:23 Deep Dive into Token-Based Ordering and Global Calibration
58:30 Introducing OmniLedger: A New Approach to Distributed Consistency
01:02:41 Performance Optimizations and Tunable Consistency
01:08:20 Ideal Use Cases and Potential Limitations of OmniLedger
01:14:30 Future Directions and Closing Thoughts
Links:
Our website:
https://omniledger.io
A long-form essay on the thinking behind our model:
https://medium.com/p/5e397cb12e63
A demo of transactionality
https://www.youtube.com/watch?v=XJSSjY4szZE
I think my blog in general might be interesting to some
https://medium.com/@andrasgerlits
The science-paper with all its mathematical rigour:
https://www.researchgate.net/publication/359578461_Continuous_Integration_of_Data_Histories_into_Consistent_Namespaces
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