Autonomous microservices with event-driven architecture
Is your microservice architecture just a fragile, distributed monolith? Discover how event-driven patterns create truly autonomous and resilient systems.
#1about 2 minutes
Understanding request-driven architecture and service orchestration
Request-driven architecture uses synchronous communication where an orchestrator service manages the flow between other services.
#2about 2 minutes
Decoupling services with an event broker
Event-driven architecture uses an event broker to decouple services, allowing them to communicate asynchronously through events.
#3about 3 minutes
Weighing the pros and cons of event-driven systems
Event-driven systems offer resilience and plug-and-play functionality but introduce challenges like unclear process flows and complex debugging.
#4about 3 minutes
Using the event notification pattern for consistency
The event notification pattern sends a minimal event with just an ID, requiring consumers to make a callback for more data, which favors consistency over availability.
#5about 3 minutes
Achieving autonomy with event-carried state transfer
The event-carried state transfer pattern includes all necessary data within the event itself, eliminating callbacks and promoting service autonomy and availability.
#6about 4 minutes
Storing event history with an event store
An event store captures the complete history of all events, enabling advanced analytics and answering questions that current-state databases cannot.
#7about 4 minutes
Rebuilding system state with event sourcing
Event sourcing uses the event store as the single source of truth, allowing systems to be rebuilt or migrated by replaying events from the beginning.
#8about 1 minute
Defining the core traits of autonomous microservices
An autonomous microservice is highly independent, prioritizes availability over consistency, and uses events for communication to achieve resilience.
#9about 1 minute
Prioritizing business requirements over technical trends
The primary goal is to deliver business value efficiently, which means choosing the simplest architecture that works, even if it's request-driven.
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