Spring Cloud Data FlowSpring
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About
Feature flags for java made easy. Enable. and disable features at runtime - no deployment. Implement multiple paths in your code with predicates evaluated dynamically (if/then/else). Enable features not only with flag values but also drive access with roles and groups (Canary Release). Different frameworks supported starting by Spring Security. Implement custom predicates (Strategy Pattern) to evaluate if a feature is enabled. Some are provided out of the box: White/Black lists ,Time based, Expression based. Connect external source like a Drools rule engine. Keep your code clean and readable: Avoid nested if statements but use annotations. Thanks to Spring AOP target implementation is pick at runtime, and thus driven by feature statuses. For each features execution, ff4j evaluates the predicate therefore it's possible to collect and record events, metrics to compute nice dashboards or draw curves for features usage over time.
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About
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses or individuals looking for a proposition for feature toggle written in Java
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Audience
Companies and professionals seeking a solution to manage their streaming and batch data processing operations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFF4J
ff4j.org
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Categories |
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Integrations
Apache Tomcat
ArangoDB
Cloud Foundry
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
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Integrations
Apache Tomcat
ArangoDB
Cloud Foundry
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
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