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https://issues.jboss.org/browse/DROOLS-1221?page=com.atlassian.jira.plugi...
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Youcef HILEM commented on DROOLS-1221:
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Hi Tom Pijl ,
The second solution (
http://redhat-italy.github.io/hacep/) is a Scalable and Highly
Available architecture for Drools Complex Event Processing. HACEP combines Infinispan,
Camel, ActiveMQ and obviously Drools in a unique way to obtain:
- CEP Automatic horizontal scalability
- CEP Automatic fail over
An hi-level technical overview of HACEP can be found here :
http://redhat.slides.com/ulandini/hacep-1
About my environment, I will adapt this solution by integrating Drools with Kafka, Kafka
Streams and Apache Geode. The domain is parcel track and trace
(
http://www.informit.com/articles/article.aspx?p=2140992&seqNum=5).
Add fail-safe and scalability functionality to the Drools (CEP) rules
engine
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Key: DROOLS-1221
URL:
https://issues.jboss.org/browse/DROOLS-1221
Project: Drools
Issue Type: Feature Request
Components: core engine
Affects Versions: 6.4.0.Final
Environment: Drools (CEP) Rule engine 6.4.0.Final
Reporter: Tom Pijl
Assignee: Mario Fusco
The Drools Rule engine is currently not fail-safe and scalable which is a requirement for
Cloud deployment.
Add a possibility to persist the state of the working memory after each state change
(perhaps linked to the fireAllRules()?) and related to that the possibility to restore the
state in case of a crash (fail-safe requirement).
This persistent state store can also be used to synchronize multiple engine instances
(scalability requirement).
Of course this has major impact on the performance of the engine, but it is the only way
to make the engine useful in a multi-tenant Cloud environment
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