Mule esb flow processing strategies
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This document discusses Mule ESB flow processing strategies. It explains that Mule automatically determines whether a flow uses synchronous or asynchronous processing based on its configuration. Synchronous processing keeps a message on the same thread throughout the flow, while asynchronous processing uses queues to decouple threads and allow a message to be processed across multiple threads. The document provides details on how each strategy handles threading and message passing both within a single Mule instance and across a clustered deployment.
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Mule integration patternshimajareddys This document discusses common integration patterns used in architectural designs. It describes five main patterns: migration, broadcast, aggregation, bi-directional synchronization, and correlation. The migration pattern allows moving data from one system to another at a specific time. The broadcast pattern distributes data from one source to multiple destinations to keep data up-to-date across systems. The aggregation pattern collects data from multiple sources and merges it into a single system. The bi-directional synchronization pattern maintains consistent and up-to-date data across multiple interconnected systems. Finally, the correlation pattern links related events or data elements within or across systems.
Design considerations in MULE ESB
Design considerations in MULE ESBhimajareddys The document discusses design considerations for Mule applications including:
- Mule applications are Java-based apps deployed to a Mule runtime on-premise or in the cloud. They consist of flows stored in XML files.
- Design considerations include the type of application, modular vs monolithic design, and whether it is cloud, on-premise, or hybrid.
- Non-functional considerations include whether the application is synchronous or asynchronous, single-threaded or multi-threaded, and prioritizes throughput or reliability.
Mule architecture styles
Mule architecture styleshimajareddys The document discusses two architectural styles: service-oriented architecture (SOA) and microservices. SOA supports service-orientation with components like a service bus and repository. Microservices take a different, more lightweight approach with independently deployable services that communicate via HTTP APIs. Integration can follow patterns like migration, broadcast, or aggregation.
Integration patterns in muleesb
Integration patterns in muleesbhimajareddys This document discusses integration patterns in Mule ESB, including common patterns such as migration, broadcast, aggregation, bi-directional synchronization, and correlation. The migration pattern allows moving data from one system to another. The broadcast pattern moves data from a single source to multiple destinations. The aggregation pattern extracts and merges data from multiple systems into one. The bi-directional synchronization pattern maintains consistent, real-time data across multiple systems. These patterns are useful for designing integration solutions.
Security components in mule esb
Security components in mule esbhimajareddys Anypoint platform provides several security components including Anypoint Enterprise Security, API Security Manager, and Virtual Private Cloud. Enterprise Security includes modules like Mule Secure Token Service and security for REST APIs. It ensures APIs are properly protected by authentication and authorization schemes like SAML, OAuth 2, WS-Security, and PingFederate. Enterprise Security applies inbound, process-level, and outbound security across experience, process, and system APIs. Combining HTTPS and OAuth 2.0 is a best practice, with HTTPS providing basic authentication and OAuth 2.0 used to issue and validate tokens to control API access.
Cloudhub
Cloudhubhimajareddys CloudHub is a platform as a service provided by MuleSoft that offers a fully-managed, multi-tenant, globally available and secure cloud platform for building and deploying integrations and APIs. It provides the benefits of cloud integration without having to manage hardware or infrastructure, as CloudHub handles software updates and maintenance. CloudHub also offers true multi-tenancy and elastic scalability to increase capacity during high demand periods.
Anypoint platform highlights
Anypoint platform highlightshimajareddys Anypoint Platform enables customers to be successful at all stages of integration from point-to-point to service orchestration to API management. The latest release brings together MuleSoft's leading application integration with powerful data integration capabilities, including integrated batch processing capabilities to move millions of records between applications quickly and reliably. It also includes Anypoint Templates for Salesforce to accelerate common integration use cases and increased productivity for data integration with enhanced features in Anypoint Studio.
Mule 3.4 features
Mule 3.4 featureshimajareddys Mule 3.4 introduces new features to simplify SaaS integration and API publishing, streamline the enterprise runtime for scalability and performance, and add enhanced data mapping and flow debugging. Key features include a visual flow debugger, high availability for zero downtime scaling, automated documentation generation, accelerated and simplified data mapping with DataMapper, and automatic data model discovery and mapping generation with DataSense. The release also enables 100% uptime, scalability to thousands of runtimes, and performance of hundreds of thousands of transactions per second through Anypoint Fabric in hybrid environments.
Mule esb 3.8
Mule esb 3.8himajareddys Mule latest -3.8 unifies the API Gateway extensions with the core Mule runtime, simplifying development and operations. The release also improves debugging with more detailed error messages and connector data. Mule HA includes new quorum and persistence features for improved resilience in cloud environments. Additional enhancements include DataWeave support for flat files, browsing WSDLs in Exchange, TLS improvements, and nested test folders in MUnit.
Mule soa
Mule soahimajareddys SOA is an approach to developing enterprise systems by loosely coupling interoperable services from separate systems to perform discrete tasks. A crucial aspect of SOA is service orchestration, which is the coordination and arrangement of multiple services to create higher-level business services through message exchange according to a predetermined business logic. Service orchestration works through a central messaging engine like an ESB and enables the automation of business processes by coupling services across different applications. Mule ESB offers flexibility for service orchestration by making it possible to reuse and exchange services and messages of any format within and outside the enterprise.
Anypoint connectorfor ibm as 400
Anypoint connectorfor ibm as 400himajareddys The document discusses the IBM AS/400 connector which allows integration with IBM AS/400 systems. It provides an example of using the connector in a Mule application to call an AS/400 system to retrieve a product price from a merchandizing system based on a product code passed in an HTTP request. The application listens for HTTP requests, sends the request to an AS/400 data queue, waits for the response in another data queue, and returns the product price in the HTTP response.
Mule addcontactsintosalesforce
Mule addcontactsintosalesforcehimajareddys This document provides instructions for using Mule applications to facilitate communication between on-premises systems and Salesforce, allowing data to be shared and automated processes enabled. It outlines steps to create a sample Mule application that reads contact records from a CSV file, processes the data, and inserts the records into a Salesforce org. The application demonstrates how independent systems can integrate by polling an input folder, depositing processed files to an output folder, and adding new contacts visible within the Salesforce contact tab.
Mule anypointconnector dev kit
Mule anypointconnector dev kithimajareddys The Anypoint Connector DevKit allows developers to build and package reusable connectors within Anypoint Studio using an intuitive interface. It provides code templates, sample projects, and real-time error highlighting to help developers build connectors quickly. Developers can also use wizards to package WSDL files into connectors, automatically generate test cases and documentation, and test connectors using a QA framework. Completed connectors can then be easily deployed, reused, and shared within an organization from Anypoint Studio.
Dataweavewithflowreflookup
Dataweavewithflowreflookuphimajareddys This document discusses using Mule applications and Anypoint DataWeave to facilitate communication between on-premise systems and Salesforce. It provides steps for creating a custom field in Salesforce to map region data acquired from another Mule flow using flow lookup. The example project uses a file endpoint to read new account data from CSV files, transforms the data to Salesforce format using DataWeave, and lookups the sales region from another flow before writing the records to Salesforce.
Mule anypointenterprisesecurity
Mule anypointenterprisesecurityhimajareddys Anypoint Enterprise Security provides tools to secure MuleSoft integrations including restricting access by IP address, preventing replay attacks using message expiry policies, and detecting message tampering using CRC. It also allows encrypting message payloads, storing credentials encrypted, and ensuring data integrity with digital signatures. Additionally, it leverages standards like SAML, OAuth, and WS-Security for authentication and uses LDAP for authorization to APIs and SOA endpoints.
Connector for ibm® as400
Connector for ibm® as400himajareddys The IBM AS/400 connector allows integration with IBM AS/400 systems by enabling operations like reading and writing to data queues and executing commands. It provides an easy way to access data on AS/400 systems, reducing integration time and costs. The document includes an example of using the connector to call an external AS/400 function to retrieve a product price from an AS/400 system in response to an HTTP request.
Netsuite open air connector
Netsuite open air connectorhimajareddys The NetSuite OpenAir Connector provides a connection between NetSuite OpenAir and third party software. It supports retrieving the OpenAir WSDL dynamically, custom fields, XML requests, and auto-reconnection when sessions expire. NetSuite OpenAir includes functionality from HighCharts JS and provides sample code for use with an authorized NetSuite account. The connector is subject to reasonable usage limits as it uses shared databases.
Enterprise resources and mule
Enterprise resources and mulehimajareddys An Enterprise Service Bus (ESB) is an architecture that integrates different applications by putting a communication bus between them, allowing each application to communicate without dependency on other systems. This decouples systems and moves away from point-to-point integration, which becomes difficult to manage over time. The core concepts of an ESB include using a messaging server as the "bus" to decouple applications, representing data on the bus in a canonical format like XML, and using adapters between applications and the bus to transform data formats and handle tasks like routing and security. When choosing an ESB platform, considerations include lightweight footprint, modular design for customization, and ability to host business logic and publish services rather than just medi
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Mule esb flow processing strategies
- 1. MULE ESB Flow processing strategiesMULE ESB Flow processing strategies 1
- 2. About Mule applicationsAbout Mule applications Java based apps that must be deployed to a Mule runtime – Either on-premise or on CloudHub Packaged as zip file, referred to as deployable archive – Universal format, for both on-premise and cloud deployments Consist of one or more flows, stored in one or more XML files Can be developed, built and packaged using Anypoint Studio or a third party build solution (Maven, Gradle) Built around the standard software pattern of Input- Processing-Output 2
- 3. Recap: Flow typesRecap: Flow types Mule has three types of flows Regular flows – Inbound endpoint, or more MPs, can have its own exception strategy and processing strategy – Can be synchronous or asynchronous Sub flows – No inbound endpoint, inherits processing strategy from parent, no exception strategy (exceptions bubble up into the parent flow) Private flow – Similar to regular flow, but no inbound endpoint – Can only be called from within application via flow reference 3
- 4. Flow processing strategiesFlow processing strategies A flow’s processing strategy determines how Mule implements message processing for a given flow Mule automatically determines best processing strategy – Implicitly set to either synchronous or queued-asynchronous (leveraging SEDA) A flow is synchronous when – The flow’s exchange pattern is request- response – The flow partakes in a transaction – The flow is really a sub-flow A flow is asynchronous in all other cases – Unless overridden by manually setting a processing strategy 4
- 5. Synchronous processing strategySynchronous processing strategy Uses only the message source's pool Tuning for higher throughput happens on the connector receiver's level In clustered environments: Flow executes on the same node (pinned) until processing in the flow is complete 5 Inbound endpoint Message processor Message processor Receiving thread Receiving thread
- 6. Asynchronous processing strategyAsynchronous processing strategy Decouples and uses all 3 thread pools Uses queues, which threads drop a messages off for the subsequent pool's thread to pickup Thread pools, queues and behaviors of this strategy are configurable A flow with an queued-asynchronous processing strategy can execute on any node in a cluster 6 Inbound endpoint Message processor Message processor Receiving thread Receiving Outbound endpoint Processing Dispatching
- 7. Synchronous vs asynchronousSynchronous vs asynchronous Synchronous – Same thread is used across the flow – If outbound endpoint is one way (JMS), then the thread will be used to continue the message processing – If outbound endpoint is request-response, then the thread will wait for the response from the endpoint and continue the message processing after receiving the response Asynchronous – Receiver thread receives the message and places it in Staged Event-Driven Architecture (SEDA) Queue – Receiver thread will be released for receiving message after placing in queue – Message will be placed in a dispatcher queue for sending out 7 Receiving thread
- 8. THANKS 8