API Policies
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Splitter flow control reference
Splitter flow control referenceKrishna_in The Splitter Flow Control splits a message into fragments based on an expression, usually written in Mule Expression Language. A Collection Aggregator can then reassemble the original message parts. Together, the splitter and aggregator allow processing of split message parts on separate servers while reassembling the message. The splitter adds correlation variables to fragments used by the Aggregator for reassembly.
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Choice flow control reference
Choice flow control referenceKrishna_in The document describes the choice flow control in Mulesoft, which dynamically routes messages based on message properties or payload. It uses expressions to evaluate the message and route it to the first matching routing option, or the default route if none match. The document provides details on adding, configuring, and changing the default route of the choice flow control, and includes an example code snippet.
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Soa methodology
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Soa governance
Soa governanceKrishna_in This document discusses SOA governance and its key components. It defines governance as a system for administering and making decisions within an organization. A governance system establishes who can make decisions, constraints on decisions, and consequences for noncompliance. The primary building blocks of a governance system are precepts (authoritative rules), processes (activities), people (roles), and metrics (measuring compliance). Precepts determine authority and constraints. Processes control and guide decisions. People make decisions within precept constraints. Metrics measure compliance with precepts.
Principles of soa
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Mule transformers
Mule transformersKrishna_in Mule Transformers prepare messages for further processing by altering message properties, variables, or payload. Transformers include the Anypoint DataMapper Transformer which can both transform data formats and map fields, such as mapping a "last_name" field to a "family_name" field. Out of the box, Mule provides standard transformers to handle common data transformation scenarios with minimal configuration.
Mule exception strategies
Mule exception strategiesKrishna_in Mule provides exception strategies to handle errors that occur within Mule flows. There are two categories of exceptions: system exceptions which occur during startup or connection failures, and are handled by system strategies; and messaging exceptions which occur during message processing and are handled by messaging strategies. When a message throws an exception, normal flow stops and the message is passed to the messaging exception strategy containing message processors to handle the error.
Mule components
Mule componentsKrishna_in Mule components allow you to add custom business logic to flows without writing Mule-specific code. Components include scripting components to add custom scripts, web service components to expose and consume web services, and an HTTP component to make HTTP calls. Examples demonstrate using a Groovy script component and various other common components like logger, echo, and flow reference.
Mule agent architecture
Mule agent architectureKrishna_in The document provides an overview of the main components and architecture of the Mule Agent, which exposes the Mule ESB Java API as a service allowing external systems to manipulate and monitor Mule instances. The key components are the Mule Service for connecting to the Mule API, the Transport for handling communication, External Message Handlers for exposing the API and routing requests, and Internal Message Handlers for handling Mule notifications. Communication can be synchronous, asynchronous, or push-based. The architecture diagram shows how the components interact through the transport layer.
Message state
Message stateKrishna_in This document summarizes the key components of a Mule message - header, payload, properties, and variables - and how they may change when a message passes through a message processor like a transformer. It provides examples of a message before and after being processed by a DataMapper transformer, demonstrating how the payload, properties, and variables can be modified. It also provides an example of how to set a variable on a message using the set-variable processor.
Global elements
Global elementsKrishna_in Global elements in Mule allow configurations to be defined once and then referenced across multiple flows. This provides flexibility, reusability, and efficiency compared to repeating the same configuration in multiple places. Common examples of global elements include HTTP, JDBC, and JMS connectors. To create a global element, you define the configuration with attributes like username and password, then reference it using config-ref when needed in flows.
Flows and subflows
Flows and subflowsKrishna_in Flows and subflows allow for breaking up complex Mule applications into discrete processing units. A flow processes messages, and can route them to other flows or subflows. Subflows process messages synchronously and inherit processing strategies, pausing the triggering flow. Synchronous flows also process synchronously but do not inherit strategies. Asynchronous flows process messages independently and in parallel to the triggering flow, allowing for improved performance.
Cloud hub
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Cloud hub architecture
Cloud hub architectureKrishna_in CloudHub is an integration platform as a service (iPaaS) that provides a multi-tenant, secure, elastic, and highly available integration platform. It includes three major components: the management console, platform services, and worker clouds. Integration applications are run on workers located in global worker clouds for scalability and high availability, with redundant platform services and zero downtime updates.
Anypoint platform for api
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Mule connectors
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Mule message
Mule messageKrishna_in The document discusses the structure of a Mule message, which contains a header and payload. The header includes properties and variables that provide metadata about the message. Properties include inbound and outbound scopes, while variables have flow, session, and record scopes. The payload is the core business data being processed by Mule flows, and can be transformed or enriched by message processors.
Mule digital signature processor
Mule digital signature processorKrishna_in Mule Digital Signature Processor allows messages to maintain integrity and authenticity by using digital signatures to verify message origin and sign responses. It can add signatures to payloads to prove sender identity and verify signatures to confirm authenticity. Mule supports JCE and XML signing strategies and expressions to sign specific payload parts. A global signature element and processor define signing attributes while a processor also verifies signatures, discarding invalid messages.
Anypoint enterprise security
Anypoint enterprise securityKrishna_in Anypoint Enterprise Security is a collection of security features that enforce secure access to information in Mule applications. It provides methods for applying security to Mule services and web services, including an OAuth 2.0 provider, credentials vault, message encryption, digital signature processing, and filters. These features help bridge security gaps between application trust boundaries and allow developers to protect applications according to requirements.
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DatasenseKrishna_in This document discusses testing connections to external resources in Mulesoft DataSense. It explains that when configuring connectors in Studio, you can test the connection to ensure it is working properly. It provides details on testing new connections, such as filling out the configuration values and testing before saving, and on testing existing connections to identify potential issues. Limitations around call limits are also covered.
Choice flow control reference
Choice flow control referenceKrishna_in The document describes the choice flow control in Mulesoft, which dynamically routes messages based on message properties or payload. It uses expressions to evaluate the message and route it to the first matching routing option, or the default route if none match. The document provides details on adding, configuring, and changing the default route of the choice flow control, and includes an example code snippet.
Soa project fundamentals
Soa project fundamentalsKrishna_in This document outlines the key stages of a Service Oriented Architecture (SOA) project lifecycle:
1. Planning stages include SOA Adoption Planning to determine scope, timeline, funding and governance models.
2. Service Inventory Analysis identifies existing services across business units.
3. Later stages involve modeling services (Service-Oriented Analysis), designing service contracts (Service-Oriented Design), developing service logic, deploying services, and monitoring service usage.
Soa methodology
Soa methodologyKrishna_in This document discusses an SOA methodology and service layers. It introduces SOA methodology as a way to reduce risk by providing processes and practices for SOA projects. There are three common types of services: entity services which represent business entities, task services which are associated with business tasks and processes, and utility services which provide non-business logic. Each service type has a different focus and level of reuse potential.
Soa governance
Soa governanceKrishna_in This document discusses SOA governance and its key components. It defines governance as a system for administering and making decisions within an organization. A governance system establishes who can make decisions, constraints on decisions, and consequences for noncompliance. The primary building blocks of a governance system are precepts (authoritative rules), processes (activities), people (roles), and metrics (measuring compliance). Precepts determine authority and constraints. Processes control and guide decisions. People make decisions within precept constraints. Metrics measure compliance with precepts.
Principles of soa
Principles of soaKrishna_in This document discusses the key principles of service-oriented architecture (SOA), including standardized service contracts, loose coupling between services, reusability of services, service autonomy, and statelessness. Services should comply with common contract standards, have low dependencies on other services or their environment, contain reusable logic, control their runtime environment, and minimize state when possible. Following these principles allows solutions to gain the benefits of SOA.
Mule transformers
Mule transformersKrishna_in Mule Transformers prepare messages for further processing by altering message properties, variables, or payload. Transformers include the Anypoint DataMapper Transformer which can both transform data formats and map fields, such as mapping a "last_name" field to a "family_name" field. Out of the box, Mule provides standard transformers to handle common data transformation scenarios with minimal configuration.
Mule exception strategies
Mule exception strategiesKrishna_in Mule provides exception strategies to handle errors that occur within Mule flows. There are two categories of exceptions: system exceptions which occur during startup or connection failures, and are handled by system strategies; and messaging exceptions which occur during message processing and are handled by messaging strategies. When a message throws an exception, normal flow stops and the message is passed to the messaging exception strategy containing message processors to handle the error.
Mule components
Mule componentsKrishna_in Mule components allow you to add custom business logic to flows without writing Mule-specific code. Components include scripting components to add custom scripts, web service components to expose and consume web services, and an HTTP component to make HTTP calls. Examples demonstrate using a Groovy script component and various other common components like logger, echo, and flow reference.
Mule agent architecture
Mule agent architectureKrishna_in The document provides an overview of the main components and architecture of the Mule Agent, which exposes the Mule ESB Java API as a service allowing external systems to manipulate and monitor Mule instances. The key components are the Mule Service for connecting to the Mule API, the Transport for handling communication, External Message Handlers for exposing the API and routing requests, and Internal Message Handlers for handling Mule notifications. Communication can be synchronous, asynchronous, or push-based. The architecture diagram shows how the components interact through the transport layer.
Message state
Message stateKrishna_in This document summarizes the key components of a Mule message - header, payload, properties, and variables - and how they may change when a message passes through a message processor like a transformer. It provides examples of a message before and after being processed by a DataMapper transformer, demonstrating how the payload, properties, and variables can be modified. It also provides an example of how to set a variable on a message using the set-variable processor.
Global elements
Global elementsKrishna_in Global elements in Mule allow configurations to be defined once and then referenced across multiple flows. This provides flexibility, reusability, and efficiency compared to repeating the same configuration in multiple places. Common examples of global elements include HTTP, JDBC, and JMS connectors. To create a global element, you define the configuration with attributes like username and password, then reference it using config-ref when needed in flows.
Flows and subflows
Flows and subflowsKrishna_in Flows and subflows allow for breaking up complex Mule applications into discrete processing units. A flow processes messages, and can route them to other flows or subflows. Subflows process messages synchronously and inherit processing strategies, pausing the triggering flow. Synchronous flows also process synchronously but do not inherit strategies. Asynchronous flows process messages independently and in parallel to the triggering flow, allowing for improved performance.
Cloud hub
Cloud hubKrishna_in CloudHub is a Platform as a Service (PaaS) that allows users to integrate SaaS applications, cloud services, and enterprise applications in real-time. It is built on Mule, the most widely used integration platform, and provides a scalable architecture that can be used to build integration applications. CloudHub also allows users to manage applications in the cloud as well as servers located on-premises. It offers predefined connectors to popular services, an API for automation, and management of applications from an intuitive console.
Cloud hub architecture
Cloud hub architectureKrishna_in CloudHub is an integration platform as a service (iPaaS) that provides a multi-tenant, secure, elastic, and highly available integration platform. It includes three major components: the management console, platform services, and worker clouds. Integration applications are run on workers located in global worker clouds for scalability and high availability, with redundant platform services and zero downtime updates.
Anypoint platform for api
Anypoint platform for apiKrishna_in Anypoint Platform for APIs and Anypoint Data Gateway allow integration of data between legacy systems and Salesforce. Anypoint Data Gateway installs as a Salesforce app and provides a point-and-click interface to access external data sources like SAP, Oracle, and SQL from within Salesforce. It supports instant connection to external systems by configuring host, user, etc. parameters and publishing the gateway to specified entities.
Mule connectors
Mule connectorsKrishna_in Mule connectors allow communication between Mule and external systems like files, databases or web services. There are two types of connectors - endpoint-based and operation-based. Endpoint-based connectors follow request-response patterns and use protocols like FTP, JMS or SMTP. Operation-based connectors are based on specific APIs and define operations to perform. Connectors can receive messages as inbound endpoints or send messages outbound. Some require global configuration for connection details shared across multiple uses.
Mule message
Mule messageKrishna_in The document discusses the structure of a Mule message, which contains a header and payload. The header includes properties and variables that provide metadata about the message. Properties include inbound and outbound scopes, while variables have flow, session, and record scopes. The payload is the core business data being processed by Mule flows, and can be transformed or enriched by message processors.
Mule digital signature processor
Mule digital signature processorKrishna_in Mule Digital Signature Processor allows messages to maintain integrity and authenticity by using digital signatures to verify message origin and sign responses. It can add signatures to payloads to prove sender identity and verify signatures to confirm authenticity. Mule supports JCE and XML signing strategies and expressions to sign specific payload parts. A global signature element and processor define signing attributes while a processor also verifies signatures, discarding invalid messages.
Anypoint enterprise security
Anypoint enterprise securityKrishna_in Anypoint Enterprise Security is a collection of security features that enforce secure access to information in Mule applications. It provides methods for applying security to Mule services and web services, including an OAuth 2.0 provider, credentials vault, message encryption, digital signature processing, and filters. These features help bridge security gaps between application trust boundaries and allow developers to protect applications according to requirements.
API Policies
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