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Integration Core Principles

  Integration Core Principles






Let's take a look at how an ESB architecture maps to our five core integration principles:
  • Orchestration: Composing several existing fine-grained components into a single higher order composite service. This can be done to achieve appropriate "granularity" of services and promote reuse and manageability of the underlying components.
  • Transformation: Data transformation between canonical data formats and specific data formats required by each ESB connector. An example of this would be transforming between CSV, Cobol copybook or EDI formats to either SOAP/XML or JSON. Canonical data formats can greatly simplify the transformation requirements associated with a large ESB implementation where there are many consumers and providers, each with their own data formats and definitions.
  • Transportation: Transport protocol negotiation between multiple formats (such as HTTP, JMS, JDBC). Note: Mule treats databases like another "service" by making JDBC just another transport (or endpoint) where data can be accessed.
  • Mediation: Providing multiple interfaces for the purpose of a) supporting multiple versions of a service for backwards compatibility or alternatively, b) to allow for multiple channels to the same underlying component implementation. This second requirement may involve providing multiple interfaces to the same component, one legacy interface (flat file) and one standards compliant (SOAP/XML) interface.
  • Non-functional consistency: For a typical ESB initiative, this can include consistency around the way security and monitoring policies are applied and implemented. Additionally, the goals of scalability and availability can be achieved by using multiple instances of an ESB to provide increased throughput (scalability) and eliminate single-points-of-failure (SPOFs), which is the key objective for highly available systems.

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Please go through below tutorials:


Mule 4 Tutorials

DEPLOY TO CLOUDHUB C4E CLIENT ID ENFORCEMENT CUSTOM POLICY RABBIT MQ INTEGRATION
XML TO JSON WEBSERVICE CONSUMER VM CONNECTOR VALIDATION UNTIL SUCCESSFUL
SUB FLOW SET & REMOVE VARIABLE TRANSACTION ID SCATTER GATHER ROUND ROBIN
CONSUME REST WEBSERVICE CRUD OPERATIONS PARSE TEMPLATE OBJECT TO JSON LOAD STATIC RESOURCE
JSON TO XML INVOKE IDEMPOTENT FILTER FOR EACH FLAT TO JSON
FIXWIDTH TO JSON FIRST SUCCESSFUL FILE OPERATIONS EXECUTE ERROR HANDLING
EMAIL FUNCTIONALITY DYNAMIC EVALUATE CUSTOM BUSINESS EVENT CSV TO JSON COPYBOOK TO JSON
CHOICE ASYNC

Widely used Connectors in Mule 3

CMIS JETTY VM CONNECTOR SALESFORCE POP3
JMS TCP/IP WEBSERVICE CONSUMER QUARTZ MONGO DB
FILE CONNECTOR DATABASE CONNECTOR


Widely used Scopes in Mule 3

SUB FLOW REQUEST REPLY PROCESSOR CHAIN FOR EACH CACHE
ASYNC TCP/IP COMPOSITE SOURCE POLL UNTIL SUCCESSFUL
TRANSACTIONAL FLOW

Widely used Components in Mule 3

EXPRESSION CXF SCRIPT RUBY PYTHON
JAVASCRIPT JAVA INVOKE CUSTOM BUSINESS EVENT GROOVY
ECHO LOGGER


Widely used Transformers in Mule 3

MONGO DB XSLT TRANSFORMER REFERENCE SCRIPT RUBY
PYTHON MESSAGE PROPERTIES JAVA TRANSFORMER GZIP COMPRESS/UNCOMPRESS GROOVY
EXPRESSION DOM TO XML STRING VALIDATION COMBINE COLLECTIONS BYTE ARRAY TO STRING
ATTACHMENT TRANSFORMER FILE TO STRING XML TO DOM APPEND STRING JAVASCRIPT
JSON TO JAVA COPYBOOK TO JSON MAP TO JSON JSON TO XML FLATFILE TO JSON
FIXWIDTH TO JSON CSV TO JSON


Widely used Filters in Mule 3

WILDCARD SCHEMA VALIDATION REGEX PAYLOAD OR
NOT MESSAGE PROPERTY MESSAGE IDEMPOTENT FILTER REFERNCE
EXPRESSION EXCEPTION CUSTOM AND


Exception Strategy in Mule 3

REFERENCE EXCEPTION STRATEGY CUSTOM EXCEPTION STRATEGY CHOICE EXCEPTION STRATEGY CATCH EXCEPTION STRATEGY GLOBAL EXCEPTION STRATEGY


Flow Control in Mule 3

CHOICE COLLECTION AGGREGATOR COLLECTION SPLITTER CUSTOM AGGREGATOR FIRST SUCCESSFUL
MESSAGE CHUNK AGGREGATOR MESSAGE CHUNK SPLITTER RESEQUENCER ROUND ROBIN SOAP ROUTER