The GeekNarrator
The GeekNarrator
Kaivalya Apte
Beat the CAP Theorem : Make Distributed consistency simple
1 hour 16 minutes Posted Apr 9, 2024 at 5:40 am.
Introduction
Andras's Journey into Distributed Consistency
The Evolution of Data Consistency in Banking and Beyond
Introducing Client-Centric Consistency
Exploring the Standard Model of Distributed Consistency
Redefining Strong Consistency with a Relativistic Approach
Practical Implications of Client-Centric Consistency in Banking
Mitigating Latencies and Partitions in Distributed Systems
Exploring System Reliability and Availability
Tuning System Properties for Specific Use Cases
Comparing Standard and New Models for Data Management
Understanding Local Progress and Mutex-Free Updates
Deep Dive into Token-Based Ordering and Global Calibration
Introducing OmniLedger: A New Approach to Distributed Consistency
Performance Optimizations and Tunable Consistency
Ideal Use Cases and Potential Limitations of OmniLedger
Future Directions and Closing Thoughts
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1:16:52
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Show notes
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:
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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