Time travelling in distributed software systems
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Software systems have traditionally been built excluding the notion of time and focusing only on their current state. Global continuous consistency of the data within these systems is guaranteed by transactions, typically using relational databases. This approach has worked very well in the past, but as the industry moves towards distributed systems scalability is significantly hindered when trying to apply the same concepts in this world. This talk explores the concept of Event Sourcing, complemented by the Command Query Responsibility Segregation principle, as an alternative to maintaining a current globally consistent state, leading to lower latencies and a higher degree of scalability. The session will include a step by step guide on how to build an example reactive system in this style using the Typesafe Platform (specifically Akka, Akka Persistence and Akka Clustering).
You should be familiar with basic Scala syntax and have a basic understanding of the actor model with Akka. Event Sourcing (ES) is a way of persisting a system state by retaining all the events that led up to form the current state of the system.
Command Query Responsibility Segregation (CQRS) is a principle that separates the handling of command input within a system from queries (that don’t alter the system state – side effect free).
Check out Typesafe here.
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Thanks to our sponsors
Time travelling in distributed software systems
Bogdan Roman
Bogdan is a Software Engineer at Endava, primarily focused on JVM based languages and technologies. He is involved in most of the technical aspects of software engineering, from design, development and quality assurance, to infrastructure, configuration and release management. His area of expertise includes developing systems for banking and payments industries.
Please log in to watch this conference skillscast.
Software systems have traditionally been built excluding the notion of time and focusing only on their current state. Global continuous consistency of the data within these systems is guaranteed by transactions, typically using relational databases. This approach has worked very well in the past, but as the industry moves towards distributed systems scalability is significantly hindered when trying to apply the same concepts in this world. This talk explores the concept of Event Sourcing, complemented by the Command Query Responsibility Segregation principle, as an alternative to maintaining a current globally consistent state, leading to lower latencies and a higher degree of scalability. The session will include a step by step guide on how to build an example reactive system in this style using the Typesafe Platform (specifically Akka, Akka Persistence and Akka Clustering).
You should be familiar with basic Scala syntax and have a basic understanding of the actor model with Akka. Event Sourcing (ES) is a way of persisting a system state by retaining all the events that led up to form the current state of the system.
Command Query Responsibility Segregation (CQRS) is a principle that separates the handling of command input within a system from queries (that don’t alter the system state – side effect free).
Check out Typesafe here.
YOU MAY ALSO LIKE:
- Modern development with Java (in London on 15th - 17th July 2019)
- Lightbend Scala Language - Professional (in London on 9th - 10th September 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Keynote by Dick Wall on Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (in London on 24th June 2019)
- London Java Community June (in London on 25th June 2019)
- Designing Towards Event Sourcing (SkillsCast recorded in May 2019)
- The Dark Side Of Events (SkillsCast recorded in May 2019)
Thanks to our sponsors
Time travelling in distributed software systems
Bogdan Roman
Bogdan is a Software Engineer at Endava, primarily focused on JVM based languages and technologies. He is involved in most of the technical aspects of software engineering, from design, development and quality assurance, to infrastructure, configuration and release management. His area of expertise includes developing systems for banking and payments industries.