CloudHub Fabric provides scalability, workload distribution, and added reliability to CloudHub applications. These capabilities are powered by CloudHub’s scalable load-balancing service, Worker Scaleout, and Persistent Queues features.
Quartz can be used in Mule applications to schedule events. Inbound quartz endpoints can trigger repeating events like every second, while outbound endpoints schedule existing events for later dates. Cron expressions define schedules using fields separated by spaces. Jobs perform scheduled actions. For example, a Mule flow can be configured to write a file to an outbound folder every specific interval using quartz.
The document discusses Mule applications and flows, including that Mule applications accept and process messages through a series of message processors plugged together in a flow. It also discusses Mule messages, which contain a payload, inbound properties set from the message source, outbound properties added by message processors, and optional attachments. The objectives are to learn about building integration applications with Anypoint Studio using connectors, transformers, and other components to create and test Mule applications.
This document summarizes a Mule application that demonstrates how to modernize a legacy system by automating communication between the legacy system and a web service. The application exposes a SOAP web service to accept orders and converts them to a flat file format that the legacy fulfillment system accepts. It demonstrates how Mule can act as a proxy to front-end the legacy system and enable it to process orders submitted over HTTP by converting them to the legacy system's file format.
The document discusses using the File component in Mule applications. Specifically, it provides an example of a flow that uses a file inbound endpoint to pick up a file from a source location and move it to a destination folder, logging a message when complete. The File connector allows exchange of files with the filesystem as an inbound or outbound endpoint using a one-way exchange pattern.
This document provides tips for troubleshooting issues with Mule ESB, including setting up an IDE like Eclipse for debugging, adjusting Log4j logging levels, checking your Java environment configuration, simplifying configurations to isolate issues, searching Jira for known problems, and asking for help if stuck.
This document discusses using Maven archetypes to create a Mule domain project and Mule application project that depends on the domain. It provides steps to generate a domain project with an HTTP listener configuration, and an application project that references the domain and uses the shared HTTP listener in its flow. The document also provides a sample test case for the application that sends a request to the listener and validates the response.
Running Mule on Azure can be done using Worker Roles, which are VMs without IIS that perform complex tasks. This document outlines using the Azure toolkit for Eclipse to configure a worker role project that will run Mule standalone and deploy a sample app. Key steps include editing the componentsets.xml file to add Mule, configuring the app deployment, and running the project in the Azure Emulator to test Mule running locally. Improvements mentioned are adding health checks and deploying Mule as a Windows service.
The document discusses deploying Mule applications using the Mule Management Console (MMC). The MMC provides centralized management and monitoring of Mule deployments. It allows users to deploy, undeploy, and redeploy applications to Mule servers. The Deployments tab in MMC lists all provisioned applications and their statuses, and allows users to perform actions like deploying, undeploying, and redeploying applications. Users can also create new deployment groups to specify servers and applications.
Generating Documentation for Mule ESB ApplicationRupesh Sinha
Mule ESB allows developers to automatically generate documentation for their applications by clicking a button in Anypoint Studio. It will create an HTML page for each configuration file containing a message flow diagram and the XML configuration code. Developers can export the documentation by choosing a flow and specifying an output folder, generating an index.html page that allows browsing each individual flow and its XML code. This documentation can then be hosted on a web server like Tomcat for easy reference.
The document discusses how and why the company selected Mule as its service-oriented architecture, providing examples of Mule use cases and best practices learned. It describes evaluating major open source ESB products based on criteria like support and performance. Testing uncovered some issues with Mule 3.1.1 that were quickly resolved by MuleSoft. Examples shown include using Mule as a scalable web application, integrating various data sources, and sending support requests. Best practices discussed include test-driven development, customizing Mule's distribution, and staged migration of systems.
This document discusses using Maven to create a Mule ESB project. It describes setting up the MULE_HOME environment variable, using the Maven archetype to generate a Mule project skeleton, and answering questions to configure the project. The generated project contains a pom.xml file, mule-config.xml file, JUnit test, and MULE-README.txt file to describe the generated sources.
Scatter-Gather in Mule allows sending a request message to multiple targets concurrently, collecting the responses from all routes and aggregating them into a single message. It implements this using message processors that process flows concurrently and then combine the payloads at the end. For example, a flow can contain two subflows that run concurrently using Scatter-Gather, with the responses from both subflows merged into a single payload.
The document discusses how to deploy Mule ESB applications using the Mule Management Console (MMC). MMC provides a centralized interface to monitor, manage, and deploy Mule applications. To deploy an application, login to MMC and use the Deployments tab to provision applications to target Mule servers. The Deployments tab shows all provisioned apps, their status, and whether they are deployed. Users can deploy, undeploy, redeploy, and delete applications from the Deployments tab. New deployment groups can also be created to specify apps and servers.
Logging best practice in mule using logger componentGovind Mulinti
Logging is a key part of application debugging and analysis. This document discusses best practices for logging in Mule applications using the logger component. It recommends configuring log4j to use RollingFileAppender to control log file sizes. The logger component should be used to log messages with the log level and category string providing meaning. The category string should indicate the project, functionality, and flow being logged to help decode where log messages originate. Log4j properties can enable logging at granular levels like specific flows by configuring logger categories. Following these practices helps support teams debug issues faster through meaningful logs.
This tutorial teaches how to build a content-based routing application in Anypoint Studio using message processors like filters, transformers, routers, and loggers. The goals are to create an app that routes HTTP requests based on request content, set and use flow variables, run the app locally, test it via browser, and edit it during runtime. Key steps include modeling a flow with a choice router to route messages based on a flow variable, setting that variable with a transformer, and transforming the payload and logging results. Completing this tutorial provides skills for building more complex apps in Anypoint Studio.
Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records that are processed asynchronously and in parallel by batch steps. The results are summarized in a report with details on successes and failures. Batch processing is useful for handling large data sets from APIs, databases, or between applications. The main parts of a batch job are the input, loading, processing, and completion phases.
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
The document discusses different types of software testing for Mule applications, including unit testing, integration testing, and functional testing. It provides details on unit testing individual units of code in isolation. Integration testing involves combining units of code and testing them as a group. Functional testing uses the FunctionalTestCase class to test Mule flows by starting an embedded Mule server within a test case.
The document discusses how Anypoint Studio can automatically generate documentation for Mule projects. It has a built-in documentation generator plugin that allows users to export project documentation as HTML files with details about each flow, element, and code attributes. The document provides an example of adding descriptions to components using doc:name attributes, then generating documentation that includes both graphical and XML representations of the flows and components.
Mulesoft Calling Flow of Other Applicationskumar gaurav
This document discusses how to call a flow or subflow from one Mule application to another running on the same server. It proposes creating a domain project containing both applications and defining a shared VM connector. The applications can then connect VM components to the shared connector to communicate between flows and subflows across the applications. Testing involves deploying the domain project, calling a URL that triggers application 1's flow, and verifying in the console that application 2's flow received the message via the VM connector.
Developing a CloudHub Application
The guide covers:
1) Specifying a Host address of 0.0.0.0 for CloudHub routing.
2) Providing an external HTTP/HTTPS port using ${http.port} or ${https.port} which is assigned by CloudHub.
3) Running applications locally by defining properties in mule-app.properties, including http.port or https.port.
Create Account in Salesforce using Mule ESBSanjeet Pandey
This document discusses how to create an account in Salesforce using Mule ESB. It provides prerequisites including a Salesforce account and credentials. It then explains how to configure the Salesforce connector in Mule, including setting the connection pool and reconnection strategies. The document outlines the steps to integrate Salesforce with Mule applications, including creating a global Salesforce configuration, configuring the connector, and using an HTTP outbound endpoint along with the Salesforce endpoint to create an account.
This document discusses using Drools, a business rules management system, with Mule to execute business rules in applications. It provides an example of creating a simple Mule application that uses a .drl file to define rules to determine a warehouse destination based on a randomly generated weight variable. The application is deployed to a Mule standalone server and the rules are executed by the Drools component to set the destination variable according to the rules.
This document provides instructions for installing Tcat Server on one machine and using the Tcat Administration Console to manage and deploy applications. It outlines the steps to run the installer, start the Tcat server, log into the console, register the server with the console, manage the Tcat instance, and add a new application. It also provides a brief definition of what a connector is in relation to Mule applications.
Integration with Dropbox using Mule ESBRupesh Sinha
This presentation shows how to connect to drop box using Mule ESB Dropbox connector. This video shows working examples of various Dropbox operations and also demonstrates a use case for Mule Requester module
This document discusses configuration patterns in Mule, including simple service, web service proxy, bridge, validator, and HTTP proxy patterns. The simple service pattern exposes components like POJOs, JAX-WS services, and JAX-RS services as request-response services. The web service proxy pattern proxies remote web services and can transform SOAP envelopes. The bridge pattern establishes a direct connection between an inbound and outbound endpoint and supports transformations and transactions. The validator pattern validates inbound messages against filters and returns ACK/NACK responses. The HTTP proxy pattern sits between a caller and target resource, propagating HTTP requests and responses. Configuration patterns are designed for ease of use over power for common tasks.
Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule and uses MUnit.
- Functional testing runs Mule with limited configuration to test flows, routing, and error handling.
- Integration testing exercises the full application configuration similarly to a production environment.
MUnit is Mule's testing framework that allows mocking message processors and endpoints to isolate components during testing.
This document provides an overview of integrating MuleSoft with Dropbox using the Mule Dropbox connector. It describes setting up a Dropbox developer account and creating an app to get API keys. Steps are outlined for installing the Dropbox connector in Anypoint Studio and creating a Mule flow to perform authorization and create a folder in Dropbox. The flow uses the Dropbox connector endpoints to authorize and make API calls to create a folder, with the folder name passed as a query parameter. Running the application triggers the flow, which authorizes with Dropbox and creates the new folder, demonstrating successful integration between Mule and Dropbox.
Hudson is an open source continuous integration tool that monitors source code changes, triggers builds, and tests code changes. It integrates with source control systems and build tools to automate the build, test, and deployment process. Key features include easy installation and configuration, a web interface, distributed builds, notifications, and extensibility through plugins. Hudson supports many products through plugins for source control, build tools, testing frameworks, code analysis, and more. It provides a reliable way for development teams to continuously build, test, and monitor code changes.
The document discusses deploying Mule applications using the Mule Management Console (MMC). The MMC provides centralized management and monitoring of Mule deployments. It allows users to deploy, undeploy, and redeploy applications to Mule servers. The Deployments tab in MMC lists all provisioned applications and their statuses, and allows users to perform actions like deploying, undeploying, and redeploying applications. Users can also create new deployment groups to specify servers and applications.
Generating Documentation for Mule ESB ApplicationRupesh Sinha
Mule ESB allows developers to automatically generate documentation for their applications by clicking a button in Anypoint Studio. It will create an HTML page for each configuration file containing a message flow diagram and the XML configuration code. Developers can export the documentation by choosing a flow and specifying an output folder, generating an index.html page that allows browsing each individual flow and its XML code. This documentation can then be hosted on a web server like Tomcat for easy reference.
The document discusses how and why the company selected Mule as its service-oriented architecture, providing examples of Mule use cases and best practices learned. It describes evaluating major open source ESB products based on criteria like support and performance. Testing uncovered some issues with Mule 3.1.1 that were quickly resolved by MuleSoft. Examples shown include using Mule as a scalable web application, integrating various data sources, and sending support requests. Best practices discussed include test-driven development, customizing Mule's distribution, and staged migration of systems.
This document discusses using Maven to create a Mule ESB project. It describes setting up the MULE_HOME environment variable, using the Maven archetype to generate a Mule project skeleton, and answering questions to configure the project. The generated project contains a pom.xml file, mule-config.xml file, JUnit test, and MULE-README.txt file to describe the generated sources.
Scatter-Gather in Mule allows sending a request message to multiple targets concurrently, collecting the responses from all routes and aggregating them into a single message. It implements this using message processors that process flows concurrently and then combine the payloads at the end. For example, a flow can contain two subflows that run concurrently using Scatter-Gather, with the responses from both subflows merged into a single payload.
The document discusses how to deploy Mule ESB applications using the Mule Management Console (MMC). MMC provides a centralized interface to monitor, manage, and deploy Mule applications. To deploy an application, login to MMC and use the Deployments tab to provision applications to target Mule servers. The Deployments tab shows all provisioned apps, their status, and whether they are deployed. Users can deploy, undeploy, redeploy, and delete applications from the Deployments tab. New deployment groups can also be created to specify apps and servers.
Logging best practice in mule using logger componentGovind Mulinti
Logging is a key part of application debugging and analysis. This document discusses best practices for logging in Mule applications using the logger component. It recommends configuring log4j to use RollingFileAppender to control log file sizes. The logger component should be used to log messages with the log level and category string providing meaning. The category string should indicate the project, functionality, and flow being logged to help decode where log messages originate. Log4j properties can enable logging at granular levels like specific flows by configuring logger categories. Following these practices helps support teams debug issues faster through meaningful logs.
This tutorial teaches how to build a content-based routing application in Anypoint Studio using message processors like filters, transformers, routers, and loggers. The goals are to create an app that routes HTTP requests based on request content, set and use flow variables, run the app locally, test it via browser, and edit it during runtime. Key steps include modeling a flow with a choice router to route messages based on a flow variable, setting that variable with a transformer, and transforming the payload and logging results. Completing this tutorial provides skills for building more complex apps in Anypoint Studio.
Mule ESB allows processing of messages in batches. A batch job splits large messages into individual records that are processed asynchronously and in parallel by batch steps. The results are summarized in a report with details on successes and failures. Batch processing is useful for handling large data sets from APIs, databases, or between applications. The main parts of a batch job are the input, loading, processing, and completion phases.
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
The document discusses different types of software testing for Mule applications, including unit testing, integration testing, and functional testing. It provides details on unit testing individual units of code in isolation. Integration testing involves combining units of code and testing them as a group. Functional testing uses the FunctionalTestCase class to test Mule flows by starting an embedded Mule server within a test case.
The document discusses how Anypoint Studio can automatically generate documentation for Mule projects. It has a built-in documentation generator plugin that allows users to export project documentation as HTML files with details about each flow, element, and code attributes. The document provides an example of adding descriptions to components using doc:name attributes, then generating documentation that includes both graphical and XML representations of the flows and components.
Mulesoft Calling Flow of Other Applicationskumar gaurav
This document discusses how to call a flow or subflow from one Mule application to another running on the same server. It proposes creating a domain project containing both applications and defining a shared VM connector. The applications can then connect VM components to the shared connector to communicate between flows and subflows across the applications. Testing involves deploying the domain project, calling a URL that triggers application 1's flow, and verifying in the console that application 2's flow received the message via the VM connector.
Developing a CloudHub Application
The guide covers:
1) Specifying a Host address of 0.0.0.0 for CloudHub routing.
2) Providing an external HTTP/HTTPS port using ${http.port} or ${https.port} which is assigned by CloudHub.
3) Running applications locally by defining properties in mule-app.properties, including http.port or https.port.
Create Account in Salesforce using Mule ESBSanjeet Pandey
This document discusses how to create an account in Salesforce using Mule ESB. It provides prerequisites including a Salesforce account and credentials. It then explains how to configure the Salesforce connector in Mule, including setting the connection pool and reconnection strategies. The document outlines the steps to integrate Salesforce with Mule applications, including creating a global Salesforce configuration, configuring the connector, and using an HTTP outbound endpoint along with the Salesforce endpoint to create an account.
This document discusses using Drools, a business rules management system, with Mule to execute business rules in applications. It provides an example of creating a simple Mule application that uses a .drl file to define rules to determine a warehouse destination based on a randomly generated weight variable. The application is deployed to a Mule standalone server and the rules are executed by the Drools component to set the destination variable according to the rules.
This document provides instructions for installing Tcat Server on one machine and using the Tcat Administration Console to manage and deploy applications. It outlines the steps to run the installer, start the Tcat server, log into the console, register the server with the console, manage the Tcat instance, and add a new application. It also provides a brief definition of what a connector is in relation to Mule applications.
Integration with Dropbox using Mule ESBRupesh Sinha
This presentation shows how to connect to drop box using Mule ESB Dropbox connector. This video shows working examples of various Dropbox operations and also demonstrates a use case for Mule Requester module
This document discusses configuration patterns in Mule, including simple service, web service proxy, bridge, validator, and HTTP proxy patterns. The simple service pattern exposes components like POJOs, JAX-WS services, and JAX-RS services as request-response services. The web service proxy pattern proxies remote web services and can transform SOAP envelopes. The bridge pattern establishes a direct connection between an inbound and outbound endpoint and supports transformations and transactions. The validator pattern validates inbound messages against filters and returns ACK/NACK responses. The HTTP proxy pattern sits between a caller and target resource, propagating HTTP requests and responses. Configuration patterns are designed for ease of use over power for common tasks.
Mule provides tools for testing Mule applications at various levels:
- Unit testing focuses on individual components without running Mule and uses MUnit.
- Functional testing runs Mule with limited configuration to test flows, routing, and error handling.
- Integration testing exercises the full application configuration similarly to a production environment.
MUnit is Mule's testing framework that allows mocking message processors and endpoints to isolate components during testing.
This document provides an overview of integrating MuleSoft with Dropbox using the Mule Dropbox connector. It describes setting up a Dropbox developer account and creating an app to get API keys. Steps are outlined for installing the Dropbox connector in Anypoint Studio and creating a Mule flow to perform authorization and create a folder in Dropbox. The flow uses the Dropbox connector endpoints to authorize and make API calls to create a folder, with the folder name passed as a query parameter. Running the application triggers the flow, which authorizes with Dropbox and creates the new folder, demonstrating successful integration between Mule and Dropbox.
Hudson is an open source continuous integration tool that monitors source code changes, triggers builds, and tests code changes. It integrates with source control systems and build tools to automate the build, test, and deployment process. Key features include easy installation and configuration, a web interface, distributed builds, notifications, and extensibility through plugins. Hudson supports many products through plugins for source control, build tools, testing frameworks, code analysis, and more. It provides a reliable way for development teams to continuously build, test, and monitor code changes.
This document discusses how to integrate MuleSoft with Dropbox using the Mule Dropbox connector. It provides an overview of MuleSoft and Dropbox and their uses. It then outlines the prerequisites needed, including a Dropbox developer account and app keys. Steps are provided to set up a Dropbox developer account and get app keys. The document concludes by describing the Mule ESB flows used to perform authorization with Dropbox and create a folder, including running and testing the application.
Mule ESB - Intra application communicationkrishananth
This document provides a tutorial on how to enable intra-application communication between Mule ESB applications using a shared VM connector. It outlines 6 steps: 1) Create a shared domain project; 2) Define a shared VM connector within it; 3) Create a receiver application that references the shared domain; 4) Create a provider/sender application that also references the shared domain; 5) Start both applications to enable communication; 6) Test the applications by sending a payload from the provider to the receiver using the shared VM connector. Using a shared VM connector provides performant intra-application communication compared to HTTP/REST or SOAP.
There are several ways to deploy Mule applications:
- Deploy to the Studio embedded test server for local testing.
- Export the application to a zip file and deploy it on an enterprise Mule server for production.
- Deploy to the Anypoint Platform for cloud-based deployment and management through Runtime Manager.
This lab is meant to help you explore IBM® Bluemix through hands-on activities. Develop cloud applications using Bluemix is easy, as you can not only write your own code, but also leverage existing cloud services to compose new business features.
See details on the workshop at https://bluelabs.mybluemix.net/workshops/homestead-weather
For further information on Bluemix capabilities, go to https://console.ng.bluemix.net/catalog
The document provides instructions for deploying a Mule application to Anypoint CloudHub from Anypoint Studio or the Runtime Manager. Key steps include selecting the deployment target as CloudHub, specifying an application name and domain, selecting runtime version and worker sizing, and configuring optional settings like properties, logging, and static IPs. Limitations include that only administrators can move apps between environments and an app name must be unique within an environment.
There are several ways to deploy Mule applications including:
1) Deploying to the Studio embedded test server for local testing.
2) Exporting the application from Studio as a zip file and deploying it to an enterprise Mule server for production.
3) Deploying directly to the Mule Management Console Application Repository to make the application available for deployment to multiple servers.
Mobile Apps Development Using Flash Builder 4.5Bharat Patel
Flash Builder 4.5 provides tools for developing mobile apps for iOS, Android, and BlackBerry tablets. It features accelerated coding, templates for common patterns, and over 20 new touch-enabled mobile components. The document walks through creating a simple "Hello World" mobile app in Flash Builder, including generating code for views and buttons, running the app, and steps for exporting and deploying the packaged app to devices.
This document provides steps to connect Dropbox to Mule ESB using the Dropbox Cloud Connector and OAuth2 authentication. It involves creating a Dropbox app, configuring the Dropbox connector in Mule with the app keys and secret, and using a choice router to check if authorization was successful by looking for an OAuth access token id flow variable.
This document discusses building a core application that can be deployed on different servers using a Java core. It provides examples using the Vaadin framework to build a basic application, deploying it on Apache Tomcat and IBM WebSphere Application Server. It also discusses setting up the application on IBM Domino using an OSGi plugin project. Additional topics covered include handling multiple authentication methods and implementing a data abstraction layer to make the application agnostic to the backend data store. The goal is to allow writing applications once and deploying them on any server with minimal changes.
This document provides instructions for using IBM Bluemix and IBM Bluemix DevOps Services (IDS) to build and deploy a Docker container application. It demonstrates setting up a continuous delivery pipeline that will automatically build and deploy new versions of an application. Users are instructed to fork a sample project code from IDS, inspect the code, configure build and deploy stages in the pipeline, and then run builds to deploy new versions after making code changes. The pipeline is triggered by committing code changes to the Git repository.
This document provides instructions for deploying and updating a sample application on Bluemix using the cf CLI. It describes creating a Cloudant database service instance, deploying the application and binding it to the database, modifying code and redeploying to update the application, and deleting the application and services. The key steps are deploying the application from the command line, linking it to an existing Cloudant service, modifying code and redeploying to update the running application, and deleting resources when finished.
Dropbox is a file hosting service that allows users to create a special folder that syncs files across devices. Mule can integrate with Dropbox using the Dropbox connector and OAuth2 authentication. Example flows show how to retrieve account info, download/upload/delete files, and create folders on Dropbox from Mule applications. The Dropbox connector provides an easy way to connect to Dropbox cloud storage and perform common operations.
An overview of Bluemix, the platform's console, and steps on deploying and updating a simple application. Final slides go over several Bluemix-Watson use cases.
This document provides instructions for creating and modifying an ASP:HyperLink web server control. It explains how to create a new web form, copy code for a hyperlink control into the form, and view the output. It then demonstrates how to modify properties of the hyperlink like font size and style, image URL, navigation URL, and tooltips. The document encourages sharing this information and visiting the Sunmitra website for more programming guides.
Syncitall is a program that allows users to sync files across multiple cloud storage services like Google Drive, OneDrive, and Dropbox. It provides a common interface to access files from different cloud storages simultaneously. The program uses APIs to connect to cloud services and Selenium to automate browser authorization. It splits large files into parts for uploading across storages. The graphical user interface is built using PyQt and allows viewing, moving, deleting, and downloading files from connected cloud accounts in one place.
Ant Migration tool is used to Create and Fetch Metadata to and from an organisation. It’s a command-line utility by which one can upload and download Metadata components.
Big data refers to massive amounts of structured and unstructured data that is difficult to process using traditional methods due to its large volume, velocity, or variety. While often used to describe volume, big data can also refer to the technologies needed to handle large data. An example is petabytes or exabytes of data from various sources about millions of people. The document then provides steps to run a word count program using Hadoop on a Hortonworks sandbox virtual machine.
The HDFS connector allows bi-directional integration between Mule applications and an Apache Hadoop instance. To use the connector, a global HDFS configuration element must be defined which specifies the nameNodeUri and username. The connector supports various HDFS operations like writing, reading, copying files etc. An example flow demonstrates creating a file by writing a payload to a path specified in the HTTP request.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
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Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
2. Mule is flexible and supports sharing of connectors as common resources. In many scenario’s, we
often require to share the common resources between the applications which are deployed under
the same “Domain”.
The advantage of sharing the resources, allows multiple applications/development team(s) with in the
same domain to work with the same set of pre-configured connectors.
For example, application a and application b both require inbound HTTP listeners which are
consuming the same port “8989”. In this scenario, we can create only ONE listener configuration and
share between the two applications a & b.
At this current stage, only the following connectors can be used as shared resources:
. HTTP/HTTPS
. VM
. TLS
. JMS
. JMS Caching Connection Factory
. Database
. WMQ
. JBoss Transaction Manager
. Bitronix Transaction Manager
2
3. 3
How can we create SHARED RESOURCES????
To create shared resources, follow these steps:
1. Create new domain project
2. Define the shared resources
3. Create application(s) and associate to the domain
4. Test the application(s) by deploying the domain and the
application(s)
4. 4
Step 1: Create new domain project
create domain project in Anypoint Studio, by selecting the top menu bar
select File > New > Mule Domain Project
5. 5
After performing Step 1, you will see “mule-domain-config.xml” file under src/main/domain
as shown below:
Step 2: Add an HTTP connector as a shared resources viz.,
“Shared_HTTP_Listener_configuration” to “mule-domain-config.xml”
which is created in previous step.
Code snippet: <http:listener-config name="Shared_HTTP_Listener_Configuration" host="localhost" port="8989"
doc:name="HTTP Listener Configuration"/>
6. 6
Step 3: Now its time to create Mule Project viz., “Application A”
and attaching it to the domain project created in Step 1.
Step 3.1: Create project in Anypoint Studio, by selecting the top menu bar
select File > New > Mule Project
7. 7
Step 3.2: Open the “application_a.xml” and drag & drop the HTTP Endpoint from the
palette to the canvas. If we check the “Connector Configuration” the drop down
list is empty, wait a minute where is the “Shared Resource” that we created in
previous Steps?
Hmmm…. We forgot to add this project to the “Domain” project.
To do so, open the “mule-project.xml” under “application_a” project and change
the “Domain” name from the drop down list to “mySharedResourcesDomain” as
per below figure.
8. 8
Step 3.3: Now open the “application_a.xml” again and you notice that the “Connector
Configuration” is pre-populated with the “Shared Resource” that we created in
previous Step.
HURRAY!!!!!
And set the path to “/appa” then add a set-payload transformer to the flow with value “You are viewing message from
Application A using Shared Resources”.
Step 3.4: Now its time to create another Mule Project viz., “Application B”
by repeating from Step 3, with below changes to “Application B”
. Path to “/appb”
. Payload message to “You are viewing message from Application B using Shared Resources”
9. 9
Step 4: Now its time to test the Domain and the associated applications.
Right click on the “mule-domain-config.xml” and select “Run Configurations” from “Run As”
Select the “mysharedresourcesdomain” form the “Run Configurations” dialog box (make
sure that both the applications are ticked when selecting the “shared domain” project) and
then click on “Run”.
10. 10
Step 4.1: Lets check the console, you will notice that bot the applications (a & b) are started
along with the domain.
Hurray!!! Both the applications are successfully deployed. Now its time to check the applications for
the results.
Application A is using the URL http://localhost:8989/appa and the result is displayed in browser:
Application B is using the URL http://localhost:8989/appb and the result is displayed in browser:
11. 11
Now you know how to use Shared Resources among multiple applications. Like mentioned in previous
slide(s), you can use the shared resources:
. HTTP/HTTPS
. VM
. TLS
. JMS
. JMS Caching Connection Factory
. Database
. WMQ
. JBoss Transaction Manager
. Bitronix Transaction Manager