Mule esb using file to string and logger component
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This document provides instructions for using Mule ESB to read a file, convert it to a string, and log the output. It describes opening Anypoint Studio, creating a Mule project, adding a File, FileToString, and Logger component to the flow, configuring the File component with a local folder path, using the FileToString transformer to read the file content as a string, and viewing the logged output in the console when a file is dropped in the folder.
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Mule esb using file to string and logger component
This document provides instructions for using Mule ESB to read a file, convert it to a string, and log the output. It describes opening Anypoint Studio, creating a Mule project, adding a File, FileToString, and Logger component to the flow, configuring the File component to point to a local folder, using the FileToString transformer to read the file content as a string, and viewing the logged output in the console when a file is dropped in the folder. The flow demonstrates how to transfer a file through Mule and output the message.
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او
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phone: 01028433301
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من خارج مصر
phone: +201028433301
phone: +201062659261
whatsapp : +201028433301 - +201062659261
تابعنا على :
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او
http://bit.ly/2fpWDDx
للاستفسار اتصل بنا كل ايام الاسبوع وفى كل وقت:
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phone: 01028433301
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whatsapp : +201028433301 - +201062659261
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4) Running the flow by dragging a file into the input folder, which will copy it to the backup folder and move it to the output folder while logging the filename.
Input and output flow using file to string and logger component
The document discusses using File, File to String, and Logger components in Mulesoft Anypoint Studio to read a text file and log its contents. The steps are: 1) Create a Mule project in Anypoint Studio, 2) Drag File, File to String, and Logger components onto the message flow, 3) Configure the File component to point to a local folder, 4) Configure the Logger to print the file contents to the console, 5) Run the Mule application and drop a text file in the folder to see it logged.
Input and output flow with logger component
The document discusses using File, File to String, and Logger components in Mulesoft Anypoint Studio to read a text file and log its contents. The steps are: 1) Create a Mule project in Anypoint Studio, 2) Drag File, File to String, and Logger components onto the message flow, 3) Configure the File component to point to a local folder, 4) Configure the Logger to print the file contents to the console, 5) Run the Mule application and drop a text file in the folder to see it logged.
Mule esb lesson 3
This document provides instructions for creating a simple Mule ESB flow that reads a text file, converts it to a string, and logs the string to the console. The steps are:
1. Create a new Mule project in Anypoint Studio and add a HTTP component, Java component, File component, File-to-String transformer, and Logger component to the message flow.
2. Configure the File component to point to a local folder and text file.
3. Configure the Logger to print the flow message to the console.
4. Run the Mule application and view the console log, which prints the content of the text file after it is dropped in the configured folder.
My mule esb first http flow
This document provides instructions for creating a simple HTTP flow in MuleSoft's Mule ESB to transfer a file. The steps include:
1. Creating a new Mule project in Anypoint Studio and adding an HTTP listener on port 8081.
2. Developing a Java class to create a text file in a local folder.
3. Configuring the Java component to use the Java class and write two lines to the new text file.
4. Running the Mule application and testing it by making an HTTP request to localhost:8081/filetransfer to trigger the flow and generate the file.
Simple interact between http and java components
This document provides instructions for creating a simple Mule ESB application that exposes an HTTP endpoint to trigger a Java component that writes data to a file.
The steps are:
1. Create a new Mule project in Anypoint Studio and add an HTTP listener on port 8081 and path /filetransfer configured for GET requests.
2. Add a Java component and create a class to write data to a text file located in a specific folder.
3. Configure the Java component to reference the class.
4. Start the Mule server and test the application by making a GET request to http://localhost:8081/filetransfer which will trigger the Java class to write to the file
File tostring conversion
This document provides instructions for creating a Mule project that converts a file to a string. It describes opening Anypoint Studio, creating a new Mule project, adding a file, HTTP, and Java components to the message flow, configuring the file component to read a text file, using a file-to-string transformer to convert the file contents to a string, and viewing the output in the console log after deploying and running the Mule server.
Mule esb first http connector
This document provides instructions for creating a simple HTTP flow in Mule ESB. It describes how to create a new Mule project, add an HTTP listener configured on port 8081, and add a set payload processor to define the response message as #[‘MyFirstHTTPServiceworks! Enjoy with Mule!’]. It concludes by explaining how to run the Mule application and test the service by invoking http://localhost:8081/myfirstFlow from a web browser.
Mule esb add logger to existing flow
This document provides instructions for adding a logger to an existing flow in Mule ESB. The steps are:
1. Drag and drop a Logger component into the message flow after the SetPayload block.
2. Double click the Logger and configure the log message, in this case prefixing the payload message.
3. Start the Mule server and invoke the service endpoint to see the log message output to the console, highlighting the custom log message and payload.
Input and output flow using http and java component
The document describes how to create an HTTP input and Java component flow in Mule to create a text file. It involves creating a Mule project in Anypoint Studio, dragging an HTTP listener and Java component into the flow, configuring the HTTP listener endpoint and Java transformer class, running the Mule server, and making an HTTP request to trigger the flow and generate a text file.
Mule esb lesson 1
This document provides instructions for creating a simple HTTP flow in Mule ESB. It describes how to:
1. Create a new Mule project in Anypoint Studio and add an HTTP listener configured to listen on localhost port 8081 and path /myfirstFlow.
2. Add a set payload processor under the HTTP listener to define the response returned by the service as #['My First HTTP Service works !'].
3. Start the Mule server and test the service by invoking http://localhost:8081/myfirstFlow from a web browser to receive the defined response.
OpenTok_API_Tutorials.pdf
This document provides tutorials and sample code for using the OpenTok JavaScript API for basic and advanced functionality. It includes tutorials for connecting to a session, publishing and viewing streams, controlling audio/video, moderating sessions, and more. Code samples are provided to demonstrate concepts like connecting to a session, subscribing and publishing streams, and handling events. The document is intended to help developers learn the OpenTok JavaScript API.
Utilize Flex And Java Servlet To Implement File Upload
The document discusses using Flex and Java Servlets to implement file uploads. It provides an architecture that uses RemoteObjects to enable communication between the Flex and Java components. The Flex interface allows users to select a file to upload, and displays upload progress. The FileUploadServlet on the Java side handles the actual file upload using Apache Commons FileUpload library.
Integrating Maven with Eclipse
What is maven? how maven works? how to integrate maven with eclipse? how to develop a maven project? If you are looking answers for these questions then go through this article, I'm sure it will answer all of them and trust me it's way easy than you are thinking. Come have a look.
Mule esb httpflow
This document provides instructions for creating a simple HTTP flow in Mule ESB that returns a response message. The steps include:
1) Creating a new Mule project in Anypoint Studio and adding an HTTP listener on port 8081 to listen for GET requests to the /myfirstFlow path.
2) Adding a set payload processor to define the response message returned by the flow.
3) Starting the Mule server and testing the service by invoking the endpoint URL in a web browser to return the configured response message.
Qtp launch
Ways of Launching Applications in QTP, using SystemUtil.Run, InvokeApplication and using Shell Object
Send email attachment using smtp in mule esb
This document describes how to send an email attachment using Mule ESB's SMTP connector. It involves using a file inbound endpoint to read a file from a source directory, transforming it to a string, setting it as an attachment using the attachment transformer, and sending it in an email via the SMTP connector. Key components used are the file inbound endpoint, attachment transformer, and SMTP connector.
Send email attachment using smtp in mule esb
This document describes how to send an email attachment using Mule ESB's SMTP connector. It involves using a file inbound endpoint to read a file from a source directory, transforming it to a string, setting it as an attachment using the attachment transformer, and sending it in an email via the SMTP connector. Key components used are the file inbound endpoint, attachment transformer, and SMTP connector.
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Input and output flow using file to string and logger component
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More from Germano Barba
Mule esb lesson 2
This document provides instructions for adding logging capabilities to a Mule ESB application. It instructs the user to drag and drop a logger component into the message flow after the set payload block. It then explains how to configure the logger to output a custom message prefix plus the payload. Finally, it describes how to run the Mule application and test it by invoking the service endpoint and verifying the log message is output to the console along with the payload.
Rest fullservices
The document discusses implementing a RESTful web service using Mule ESB. It explains how to configure Mule ESB to function as a RESTful endpoint without using the built-in REST component. It provides an example of a Mule flow that exposes a REST endpoint on localhost port 8081. The flow accepts query parameters, transforms them to XML using a Maps to XML component, and returns the XML response.
Transformation csvtoxml
This document discusses transforming CSV data to XML format in Mule. It describes the components used in a Mule flow: a File endpoint to pick up CSV files, a logger, a CSV to Maps component to convert CSV data to Maps, and a Java component to process the Maps. The CSV to Maps component uses a mapping file to define the CSV columns and converts each CSV line to a Map. The Maps are passed to the Java component, which prints the Maps and size to the console.
Transformation jsontojsonesb
This document discusses using an expression transformer in Mule to transform one JSON payload into another JSON format. It provides an example of transforming an input JSON with name and id fields into an output JSON that adds a designation field. The expression transformer allows dynamically modifying the input JSON and generating the required output format by adding the new field within the transformer.
Transformation jsontoxmlesb
The document discusses using Mule's json-to-xml-transformer to transform JSON to XML. It provides an example of input JSON and the expected output XML. The json-to-xml-transformer correctly transforms most of the JSON properties to XML tags, but only outputs the first element, failing to include the nested "lineInfo" array. The document also includes the Mule flow configuration using the transformer.
Transformation xmltoobjectesb
The document discusses transforming XML payload into an Object format using DataWeave in Mule. An example XML payload of a user is provided. DataWeave code is used to define a user object type and transform the XML elements into a user object with firstName and lastName properties, which is output as application/java data. A Java User class is also defined to represent the user object.
Xml to xml transformation in mule
The document discusses transforming XML payloads between different formats in Mule. Specifically, it describes how to take an input XML payload and transform it into an output XML payload with an additional element, using XSLT. A Mule flow is provided that uses an XSLT transformer powered by an XSL stylesheet to modify the input XML and add a new "designation" element to the output XML payload.
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UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
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Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Best 20 SEO Techniques To Improve Website Visibility In SERP
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Pushing the limits of ePRTC: 100ns holdover for 100 days
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AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
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Full-RAG: A modern architecture for hyper-personalization
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Infrastructure Challenges in Scaling RAG with Custom AI models
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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Communications Mining Series - Zero to Hero - Session 1
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GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Mule esb using file to string and logger component
- 1. Mule ESB Using File to string and logger component
- 2. Open Anypoint Studio Create a File New Mule Project Click «Finish»