The relationship between them is implicit, an idea that only exists in the mind of the programmers. It should be explicit, a part of the language, and existing for all time. Counter and doubled should be bound.
YAMS — Yet Another Mail Service NEW 2021-04-11 — An important Email 2021-04-09 — Another important Email 2021-04-08 — Do you want to join my network? 2021-04-05 — Nigerian prince wants to send you money X your inbox contains 4 mails 1 NEW Mail Reload Controller Rest Client update UI Element update UI update UI
YAMS — Yet Another Mail Service NEW 2021-04-11 — An important Email 2021-04-09 — Another important Email 2021-04-08 — Do you want to join my network? 2021-04-05 — Nigerian prince wants to send you money X your inbox contains 4 mails 1 NEW Mail Reload Websocket Client Email Email count() count() collect() filter() subscribe Email map()
YAMS — Yet Another Mail Service NEW 2021-04-11 — Hello Reactive Systems Vienna! 👋 2021-04-09 — Another important Email 2021-04-08 — Do you want to join my network? 2021-04-05 — Nigerian prince wants to send you money X your inbox contains 5 mails 2 NEW Mail Websocket Client Email Email count() count() collect() filter() subscribe Email NEW 2021-04-11 — An important Email map()
Internet has 4.7 Billion users. Facbook has 2.8 Billion users. Youtube has 2.1 Billion users. 2010 2020 The Internet has 1.4 Billion users. A single website may now handle twice as much traffic as the entire internet a decade ago.
We support Back-Pressure Stream Provider Consumer events are stored until consumed Stream Provider Consumer A Consumer C Consumer B scaling out consumers We can horizontally scale by Location Transparency
Microservice A Microservice B Microservice C Web Application Microservice C with high latency First Generation Integrated Synchronous without Backpressure Support
Microservice A Microservice B Microservice C Web Application Microservice C with high latency Second Generation Partially Asynchronous & Backpressure Support Queue isolates bottleneck Queue
Web Application Stream Microservice usually Backend-For-Frontend (BFF) Microservice A Microservice B Microservice C Thirds Generation Stream Centric and Fully Asynchronous
Events as the System State Stream of Transactions Max sent Tim 100€ Max sent Maria 70€ Tim sent Maria 25€ ➡ Current Balance Max - 100€ Tim + 100€ Maria + 70€ - 170€ + 75€ + 95€ Stream-table duality
Web Application Stream Microservice usually Backend-For-Frontend (BFF) Microservice A Microservice B Microservice C Migration via Change-Data-Capture Legacy Database New User Added User Updated Change-Data-Capture DB Log
Events as the System State Stream of Transactions Max sent David 100€ Max sent Maria 70€ David sent Maria 25€ Current Balance Max - 100€ David + 100€ Maria + 70€ - 170€ + 75€ + 95€ Stream-table duality the truth, the whole truth, nothing but the truth. Event Souring
Web Application Stream Microservice usually Backend-For-Frontend (BFF) Microservice A Microservice B Microservice C Thirds Generation Stream Centric and Fully Asynchronous
Web Application Eventstore Microservice usually Backend-For-Frontend (BFF) Microservice A Microservice B Microservice C Thirds Generation Stream Centric and Fully Asynchronous
Web Application Eventstore Microservice usually Backend-For-Frontend (BFF) Lambda A Lambda B Lambda C Thirds Generation Stream Centric and Fully Asynchronous
Web Application Stream Microservice usually Backend-For-Frontend (BFF) Microservice A Microservice B Microservice C Thirds Generation Stream Centric and Fully Asynchronous
Account Summary Service Transaction Service User Service Web Banking Categorization Service Config Service The rise of the Entity Service Antipattern High Presure Low Resilience Z Y X Payment Service
Account Summary Journey Transaction Service User Service Web Banking Categorization Service Config Service The rise of the Entity Service Antipattern High Presure Low Resilience Z Y X Payment Journey Paymet Customer Journeys Account Overview Customer Journeys Low service Autonomy Weak Independent Deployability Weak Independent Scalability
Account Summary Journey Transaction Service User Service Web Banking Categorization Service Config Service Payment Journey projection projection We never write to projections, we only read from them. CQRS in a nutshell websockets Strong Service Autonomy at Runtime Smaller Deployment Footprint Good Horizontal Scalability Account Summary Journey projection
GraphQL Step 1 Step 2 Step 2 Car Brand Build Year Car Model Insurance Agent Customer ✅ This Is Correct Alfa Romeo Giulia, 2020 110PS, Diesel Products Users Configurations Eventstore GraphQL car brand has changed Alfa Romeo 2020 Giulia, 110PS
Transactions Web Banking Users Accounts Stream GraphQL Projection Projections 1⃣ Projections act as read-models for a specific client. 2⃣ They subscribe to events & hydrate the projection. 3⃣ The client only reads from the projection.
Transactions Web Banking Users Accounts Stream GraphQL Projection Projections 1⃣ Projections act as read-models for a specific client. 2⃣ They subscribe to events & hydrate the projection. 3⃣ The client only reads from the projection. Projection
GraphQL Mobile Client Projection Transactions Web Banking Users Accounts Stream GraphQL Projection Projections 1⃣ Projections act as read-models for a specific client. 2⃣ They subscribe to events & hydrate the projection. 3⃣ The client only reads from the projection. Only one hard problem in computer science left. 😎 Projection Show balance & last transactions working, 93% of customers still happy. With a concept like optimistic UIs even more.
Architectural Styles always buy you options. This stuff is cool, Reactive Architectures buy you Resilience, Realtime Capabilities, Elasticity, & Extendibility. you pay by complexity. 💵 e.g. perpetual, or eventual inconsistency
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