Project Group: org.digibooster.retryable

async-retry-commons

org.digibooster.retryable : async-retry-commons

This project provides non-blocking retry feature that can be attached to methods in Spring applications using annotations. The retry processing has two main implementations: - Thread pool task based implementation: Unlike Spring retry, this implementation doesn’t keep the task busing during the whole retry execution. - Quartz job based implementation: This implementation can provide clustering, load-balancing, fault-managing and execution persistence if configured with JDBC-JobStore

Last Version: 1.0.1

Release Date: Jun 12, 2022

async-retry-quartz-scheduler

org.digibooster.retryable : async-retry-quartz-scheduler

This project provides non-blocking retry feature that can be attached to methods in Spring applications using annotations. The retry processing has two main implementations: - Thread pool task based implementation: Unlike Spring retry, this implementation doesn’t keep the task busing during the whole retry execution. - Quartz job based implementation: This implementation can provide clustering, load-balancing, fault-managing and execution persistence if configured with JDBC-JobStore

Last Version: 1.0.1

Release Date: Jun 12, 2022

async-retry

org.digibooster.retryable : async-retry

This project provides non-blocking retry feature that can be attached to methods in Spring applications using annotations. The retry processing has two main implementations: - Thread pool task based implementation: Unlike Spring retry, this implementation doesn’t keep the task busing during the whole retry execution. - Quartz job based implementation: This implementation can provide clustering, load-balancing, fault-managing and execution persistence if configured with JDBC-JobStore

Last Version: 1.0.1

Release Date: Jun 12, 2022

async-retry-spring-scheduler

org.digibooster.retryable : async-retry-spring-scheduler

This project provides non-blocking retry feature that can be attached to methods in Spring applications using annotations. The retry processing has two main implementations: - Thread pool task based implementation: Unlike Spring retry, this implementation doesn’t keep the task busing during the whole retry execution. - Quartz job based implementation: This implementation can provide clustering, load-balancing, fault-managing and execution persistence if configured with JDBC-JobStore

Last Version: 1.0.1

Release Date: Jun 12, 2022