Event-sourcing in an Eventually Consistent World: Building Reactive Microservices for the Unreliable Universe of IoT and Mobile
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Event Sourcing is a popular persistence pattern that allows reconstructing different views of reality from its history. But the commonly accepted approach guarantees consistent events at write-time but may fall short scaling to big-data magnitudes, or coping with unreliable clients and transport, as when working with IoT and mobile.
Embracing Event Sourcing you have already abandoned ACID transactions, but you have to push BASE (Basic Availability, Soft-state and Eventual consistency) one step further, making compromises between low-latency writes, read delays and read-model consistency. You also have to leverage Reactive architectural principles and message-driven microservices to scale out to big-data and keep command processing latency low.
In this talk Lorenzo will share with you experience, errors and successes from real-world projects. Authentic problems like building a consistent state from late or missing events, and when you lack any global time reference, at least until everyone will have an atomic clock on his mobile phone. It offers an alternative point of view on Event Sourcing, described with whiteboard-like drawings and lessons from the trenches.
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- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
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Thanks to our sponsors
Event-sourcing in an Eventually Consistent World: Building Reactive Microservices for the Unreliable Universe of IoT and Mobile
Please log in to watch this conference skillscast.
Event Sourcing is a popular persistence pattern that allows reconstructing different views of reality from its history. But the commonly accepted approach guarantees consistent events at write-time but may fall short scaling to big-data magnitudes, or coping with unreliable clients and transport, as when working with IoT and mobile.
Embracing Event Sourcing you have already abandoned ACID transactions, but you have to push BASE (Basic Availability, Soft-state and Eventual consistency) one step further, making compromises between low-latency writes, read delays and read-model consistency. You also have to leverage Reactive architectural principles and message-driven microservices to scale out to big-data and keep command processing latency low.
In this talk Lorenzo will share with you experience, errors and successes from real-world projects. Authentic problems like building a consistent state from late or missing events, and when you lack any global time reference, at least until everyone will have an atomic clock on his mobile phone. It offers an alternative point of view on Event Sourcing, described with whiteboard-like drawings and lessons from the trenches.
YOU MAY ALSO LIKE:
- Advanced Docker for Enterprise Operations (in London on 23rd - 24th September 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
- Strategic DDD & Sociotechnical Architecture with Kacper Gunia and Nick Tune (in London on 30th September - 1st October 2019)
- Fast Track to Chaos Engineering with Russ Miles (in London on 6th - 8th November 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Linuxing in London August (in London on 21st August 2019)
- A special Linuxing In London evening: NVIDIA AI at the Edge (in London on 18th September 2019)
- Redis Streams + Spark Structured Streaming: Scale-out Your Continuous Apps (SkillsCast recorded in July 2019)
- Acceptance Testing in Microservices (SkillsCast recorded in July 2019)
Thanks to our sponsors