Checkpointing vs Event Sourcing
Developers should learn checkpointing when building resilient systems that require high availability, such as financial transactions, scientific simulations, or cloud-based services, to handle hardware failures, software crashes, or network issues without restarting from scratch meets developers should use event sourcing when building systems that require strong auditability, temporal querying, or complex business logic with undo/redo capabilities, such as financial applications, e-commerce platforms, or collaborative tools. Here's our take.
Checkpointing
Developers should learn checkpointing when building resilient systems that require high availability, such as financial transactions, scientific simulations, or cloud-based services, to handle hardware failures, software crashes, or network issues without restarting from scratch
Checkpointing
Nice PickDevelopers should learn checkpointing when building resilient systems that require high availability, such as financial transactions, scientific simulations, or cloud-based services, to handle hardware failures, software crashes, or network issues without restarting from scratch
Pros
- +It is essential in environments like Apache Spark for data processing, databases for crash recovery, and machine learning training to save model progress, reducing recomputation time and costs
- +Related to: fault-tolerance, distributed-systems
Cons
- -Specific tradeoffs depend on your use case
Event Sourcing
Developers should use Event Sourcing when building systems that require strong auditability, temporal querying, or complex business logic with undo/redo capabilities, such as financial applications, e-commerce platforms, or collaborative tools
Pros
- +It is particularly valuable in microservices architectures for maintaining consistency across services and enabling event-driven communication, as it decouples state storage from business logic and supports scalability through event replay
- +Related to: domain-driven-design, cqrs
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Checkpointing if: You want it is essential in environments like apache spark for data processing, databases for crash recovery, and machine learning training to save model progress, reducing recomputation time and costs and can live with specific tradeoffs depend on your use case.
Use Event Sourcing if: You prioritize it is particularly valuable in microservices architectures for maintaining consistency across services and enabling event-driven communication, as it decouples state storage from business logic and supports scalability through event replay over what Checkpointing offers.
Developers should learn checkpointing when building resilient systems that require high availability, such as financial transactions, scientific simulations, or cloud-based services, to handle hardware failures, software crashes, or network issues without restarting from scratch
Disagree with our pick? nice@nicepick.dev