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Drools5 Community Training Module 5 Drools BLIP Architectural Overview + Demos
This document provides an overview of the Drools architecture. It describes the core components of Drools including Drools Expert, jBPM5, Drools Fusion, and Drools Guvnor. It also discusses possible Drools architectures like embedded and as a service architectures. Examples are provided including an emergency service application and a dynamic content selection proof of concept.
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Drools5 Community Training Module 5 Drools BLIP Architectural Overview + Demos
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- 2. Module 5: DroolsBLiP Architectural Overview Drools5 Community Training version: 1.0-SNAPSHOT Release Date: 03/16/2011 Under The Creative Common License
- 3. Module 5: DroolsBLiP Architectural Overview Drools5 Community Training Course by Mauricio "Salaboy" Salatino and Esteban Aliverti is licensed under a Creative Commons Attribution 3.0 Unported License. Based on a work at salaboy.wordpress. com. Permissions beyond the scope of this license may be available at http: //salaboy.wordpress.com/.
- 4. Agenda ● Drools Overview ●Core Components ○ Drools Main Modules ● Possible Architectures ● Demos
- 5. Drools Overview ● Itwas born as an Inference Engine ● More functionality was added on top of it ● A Platform was created to create applications ● The declarative approach provided helps us to share the knowledge with non technical roles ● A Knowledge Driven Development Approach was proposed to build applications on top of the platform
- 6. The Drools Project ●Open Source ● Apache Licensed ● Free to use ● Innovative approach ● Community Support
- 7. Drools Overview ● DroolsExpert (Rule Engine) ● Drools Flow == jBPM5 ● Drools Fusion ● Drools Guvnor
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- 9. Drools Expert ● DroolsExpert ○ Contains the Inference Engine ○ Pure Java ○ Provides a language to write declarative rules ○ Provides the APIs to interact with it ○ Environmental Agnostic (JSE, JEE, Spring) ○ Lightweight
- 10. jBPM5 == DroolsFlow ● jBPM5 == Drools Flow ○ Provides Business Process Management features ○ Runs on top of the Rule Engine ○ Enable us with dynamic and declarative capabilities to create smarter processes
- 11. Drools Fusion ● DroolsFusion ○ Enables the notion of time to the Rule Engine ○ Let us define our meaningful events in our domain ○ Defines 13 temporal operators to correlate and aggregate stream of events ○ It operates in near real-time allowing us to react on immediately to an ongoing situation ○ Takes advantage of the inference capabilities of the Rule Engine
- 12. Drools Guvnor ● DroolsGuvnor ○ Its a centralized Knowledge Repository ○ Allow us to store and manage our business knowledge ○ Tag, Categorize and Version our knowledge assets ○ Provides some UIs to manage our knowledge assets
- 13. Drools Artifacts ● DroolsArtifacts ○ Lightweight Java Library ○ Gives us the flexibility to use it no matter the environment ○ Allows us to define the best architecture for each specific situation
- 14. Drools Architectural Goals ●Drools was designed and conceived for: ○ Express business knowledge declaratively ○ Integrate different solutions/applications using a declarative approach ○ To provide an unified and knowledge driven development approach ○ To provide a link of communication between business people and technical people ○ To be non-intrusive
- 15. Alternative Architectures ● DroolsAlternative Architectures ○ Embedded ○ As a Service
- 16. Embedded ● Drools EmbeddedArchitecture
- 17. Embedded -> CentralizedKnowledge ● Drools Embedded Architecture, centralized Knowledge
- 18. As A Service(Centralized) ● Drools As A Service (Centralized) Architecture
- 19. As A Service(Centralized) ● Drools As A Service (Centralized) Architecture
- 20. Stateful vs StatelessServices ● Stateful vs Stateless Services ○ You need to define the nature of your problems ○ Stateless situations are easy to manage ■ Replicate services in different nodes becomes trivial ■ Caches for data access can be used ○ Stateful situations give us more rich set of features ■ Require session data replication in different nodes ■ We need to analyze what happen if a session breaks and how it affects to the overall application
- 21. Stateful Knowledge Services ●Stateful Knowledge Services ○ Enable us to have long running execution ○ We will be able to maintain contextual information to work on ○ The inference process will much more richer ○ Business Processes can run without any problem ○ Events require a stateful environment to work ○ We need to use some kind of persistence mechanism if we want to have fault tolerance
- 22. Stateful Knowledge Serviceswith Events ● Stateful Knowledge Services with Events
- 23. Demos ● Demos ○ Emergency Service Application ○ Dynamic Content Selection PoC
- 24. Emergency Service Application ●Emergency Service Application ○ Simulate a real world situation ○ Demonstrate the advantages of using business processes, business rules and event processing all together ○ Download and Play: ■ https://github.com/Salaboy/emergency-service- drools-app
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- 26. Dynamic Content Selection ●Dynamic Content Selection Application ○ Proof of Concept to show Drools features ○ Demonstrate the information that we can capture from the user interaction with different visual components ○ Demonstrate how we can create a simple to enable non technical roles to define/validate what the application needs to do in different situations ○ Demonstrate how we can react on different identified situations ○ Download and Test: ■ https://github.com/Salaboy/smart-content-selection
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- 28. Dynamic Content Selection ●Dynamic Content Selection Application ○ Drools will keep track of the status of our visual components for each use ○ Drools will be listening events that will be generated during the user interaction ○ Temporal rules will be defined to correlate the streams of events generated by one or multiple users
- 29. Dynamic Content Selection ●Events Correlation for a Single User ○ Behavioral Event Stream ■ Navigation Events ■ Browsing Events ■ Component Interaction Events ○ Shopping Cart Event Stream
- 30. Dynamic Content Selection ●Events Correlation for a Multiple Users ○ Trends Analysis ■ More than X users selecting interacting with a Product in the last 2 minutes ■ More than X users with similar products in their shopping carts ■ More than X searches for a specific topic
- 31. Dynamic Content Selection ●Behavioral Event Stream ○ Page Navigation Events ■ Links Clicks, Search Events ○ Browsing Information Events ■ Analyzing a component information (Focus, Scrolling, Resizing, etc) ■ Multi Focus Analysis (selection patterns) ○ Component Interaction Events ■ Changing the component state (submitting a form, select a value that changes the state of the component)
- 32. Dynamic Content Selection ●Shopping Cart Event Stream ○ Add Product To Cart ○ Remove Product From Cart ○ Checkout Products ○ Empty Cart
- 33. Dynamic Content Selection ●Use Cases for Single User ○ Single Focus Interest Period ■ Offer Discount ○ Multi Focus / Pattern Selection ■ Related Product Suggestion ○ Abandoned Shopping Cart ■ Warning ○ Checkout Shopping Cart Quickly ■ Related Product Offer
- 34. Dynamic Content Selection ●Single Focus Interest Period ○ Offer Discount
- 35. Dynamic Content Selection ●Multi Focus / Pattern Selection ○ Related Product Suggestion
- 36. Dynamic Content Selection ●Abandoned Shopping Cart ○ Warning
- 37. Dynamic Content Selection ●Checkout Shopping Cart Quickly ○ 10% Discount Voucher for future shops
- 38. Related Links ● Youcan find more information, examples, tutorials and more in: ○ Salaboy Blog ■ http://salaboy.wordpress.com ○ Esteban Blog ■ http://ilesteban.wordpress.com ○ Plug Tree Blog ■ http://www.plugtree.com
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- 40. Enjoy! Questions andFeedback are always appreciated!
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