Mule Ajax Connector
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The Mule Ajax connector allows asynchronous communication between a Mule flow and an external web page. It can be used as both an inbound and outbound connector. When configured as an inbound connector, it receives data from a JavaScript client attached to a web page. When configured as an outbound connector, it sends data to that web page without reloading the page. The Ajax connector configuration involves setting properties for the channel, address, encoding, and reconnection strategy. Transformers can also be applied to requests and responses.
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The document discusses the Mule Microsoft Sharepoint 2010 connector. It provides an overview of Microsoft Sharepoint and explains that the connector enables integration with Sharepoint 2010 through its SOAP API. It then lists the supported operations for lists/items and files/folders. The remainder of the document describes the configuration wizard for the connector, including the general, pooling profile, reconnection, and notes tabs.
Mule Microsoft Share Point 2013 Connector
The document discusses the Mule Microsoft Sharepoint 2013 connector. It describes how the connector enables integration with Sharepoint 2013 through its REST API. It covers authentication schemes like NTLM, claims-based authentication, and authentication for Sharepoint Online. It also provides details on configuring the connector, including configuring claims-based authentication, general connector settings, pooling profiles, and reconnection strategies.
Mule Microsoft Service Bus
The document discusses Mule Microsoft Service Bus connector configuration in Mule. It describes that the connector enables integration with Windows Service Bus and Azure Service Bus through AMQP 1.0. It provides details about the various tabs in the connector configuration wizard including general, pooling profile, reconnection tabs. It explains the different properties and options available to configure the connector for operations with queues, topics and event hubs on Service Bus.
Microsoft Dynamics CRM Connector
The document discusses the Microsoft Dynamics CRM connector configuration in MuleSoft. It provides details on the prerequisites for configuring the connector including username, password and organization service URL. It then explains the various tabs in the connector configuration wizard including the general, pooling profile, reconnection, and notes tabs. The general tab allows setting the display name, connector configuration, and operation. The pooling profile tab contains properties for connection pooling. The reconnection tab contains options for reconnection strategies. And the notes tab allows adding notes to the connector configuration.
Mule Marketo Connector
The Mule Marketo Connector allows connection between Mule and Marketo REST APIs, implementing all supported Marketo API endpoints. It requires a MarketoDB instance, valid credentials, and MuleSoft Enterprise License. When configuring in Anypoint Studio, it will automatically populate the connector namespace and schema. Some Marketo instances have CRM integrations that disable certain APIs, so the test connectivity option should be used to check availability. The configuration wizard has general and notes tabs to set options like display name, connector reference, operation, client details, and REST URL or add notes.
Mule LDAP Connector
The document provides information about Mule's LDAP connector including:
- The LDAP connector allows accessing and maintaining distributed directories over an IP network.
- Configuring the LDAP connector involves specifying connection details like the LDAP server URL and credentials, as well as cache, reconnection, and logging settings.
- The configuration wizard guides users through settings for general connection properties, cache configuration, and reconnection strategy.
Mule HDFS Connector
The document discusses the Mule HDFS Connector configuration options. It describes the General, Connection, Config Reference, Pooling Profile, and Reconnection tabs in the configuration wizard.
The General tab contains options like display name, config reference, operation, path, and buffer size. The Connection tab adds the connection key. The Config Reference tab sets properties like name, connection key, file system, and resources. The Pooling Profile tab controls pooling with properties like max active, max idle, and initialization policy. Finally, the Reconnection tab sets reconnection strategies and properties like frequency, attempts, and reconnector forever.
Mule Concur Connector
The Concur connector allows integration between Mule and the Concur SaaS platform from SAP via SOAP API calls. It requires a Concur developer sandbox account to obtain API keys and credentials. The connector configuration in Mule requires the sandbox credentials and API keys to authenticate and connect to Concur to perform operations over SOAP.
Mule Cloudhub Connector
The document discusses the Mule CloudHub connector configuration wizard in Mule. It describes the various tabs in the configuration wizard, including the General, Pooling Profile, Reconnection, Notes, and Metadata tabs. The General tab contains options like display name, connector configuration, operation, username, password, URL, and sandbox. The Pooling Profile tab defines connection pooling properties. The Reconnection tab specifies reconnection strategies and properties. The Notes and Metadata tabs allow adding notes and metadata about the connector configuration.
Mule AMQP Connector
The document discusses the Mule AMQP connector configuration in Mule. It describes the options available on different tabs when configuring the connector - the general tab allows configuring properties like exchange name, queue name, routing key etc. The advanced tab has options like response timeout, encoding. The reconnection tab deals with reconnection strategies. The reference tab allows selecting global configurations. The notes and metadata tabs are used to add additional notes and metadata for the connector.
Mule Collection Aggregator
The Aggregator is a message handler that receives multiple messages and combines them into a single message. The Collection Aggregator specifically groups incoming messages that have matching group IDs before forwarding them together. It uses a timeout to determine how long to wait for messages to complete a group before forwarding or throwing an exception. Configuration options include the timeout, message mapping expressions, store prefix, and tracking business events.
Mule Collection Splitter
The Splitter component partitions incoming messages into multiple parts that can be processed independently. The Mule Collection Splitter splits a message into fragments using an expression, then sends the fragments one by one to the next processor. A Collection Aggregator can then reassemble the original message after asynchronous processing on separate servers. Configuration involves setting the display name, enabling correlation, and mapping message attributes like ID and correlation.
Mule Message Chunk Aggregator
The Mule Message Chunk Aggregator can be used to aggregate messages that are split into parts by a message splitter. It accepts incoming message parts and uses message attributes to correlate the parts into complete messages that are then sent to downstream flows. The aggregator can be configured with options like a timeout, message ID and correlation ID expressions to map attributes, and a store prefix for object stores. Additional tabs allow adding business events tracking and notes or metadata.
Mule Message Chunk Splitter
The Splitter Flow Control splits messages into fragments and sends them individually to the next processor. It identifies segments based on an expression, usually in Mule Expression Language. Splitting and aggregating allows processing message parts asynchronously across servers while still reassembling the full message. The splitter configuration wizard provides options for the display name, correlation IDs, message size, and mapping message attributes to IDs. The advanced tab adds business event tracking, while notes and metadata tabs include additional information.
Mule Expression Transformer
The Expression Transformer evaluates expressions on a message and returns the results. It can return a single result or an array of results from multiple expressions. It has configuration options to set the display name, return class, encoding, MIME type, and expressions to transform the message data. The Advanced tab allows adding multiple evaluators to transform message properties. The Notes and Metadata tabs add notes and metadata to the transformer.
Mule Schema Validation Filter
The Schema Validation filter validates incoming XML messages against an XSD schema. It can be used before message processors to determine if the message should continue in the flow based on validation results. The filter configuration allows specifying the schema location, language, and error handling. A resource resolver can also be configured to locate schemas, with options to define its class, scope, initialization, and factory settings.
Mule Resequencer Filter
The Resequencer filter sorts messages by their correlation sequence property and issues them in the correct order. It uses timeout and failOnTimeout attributes to determine when all messages in a set are received. The filter configuration wizard includes tabs for general settings like the display name and timeout, advanced tracking of business events, message info mapping, and notes/metadata.
Mule object to-xml transformer
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Mule xml to-jaxb object
The XML-to-JAXB object transformer in Mule allows serialization of objects to XML and back using JAXB binding. It has configuration options like the display name, return class, encoding, MIME type, and reference to a global JAXB context. The context configuration specifies the context name and package names for which JAXB binding will be generated. Additional notes and metadata can also be added.
Mule xml to-object transformer
This document describes the Mule XML-to-Object transformer which converts XML code to serialized Java objects and vice versa. It discusses the configuration options on the general tab such as the display name, return class, encoding, and MIME type. The advanced tab options include aliases for namespaces and converters for special class transformations. Finally, it mentions the notes and metadata tabs for adding additional information to the transformer.
More from Ankush Sharma (20)
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Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
National Security Agency - NSA mobile device best practices
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available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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
“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.
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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.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
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- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
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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.
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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).
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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.
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.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
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Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
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Mule Ajax Connector
- 1. MULE AJAX CONNECTOR By – Ankush Sharma
- 2. What is AJAX? ◦ Ajax stands for Asynchronous JavaScript and XML, which is used to send asynchronous web calls to any URL. Ajax is basically meant for UI tasks such as: ◦ Update a web page without reloading the page ◦ Request data from a server - after the page has loaded ◦ Receive data from a server - after the page has loaded ◦ Send data to a server - in the background But in Mule we can send an Ajax asynchronous call to any webservice we want.
- 3. So what is Mule Ajax connector? The Ajax Connector, creates a transport channel to send messages asynchronously to and from an Ajax server, which communicates with external Web resources. The Ajax endpoint connects Mule flow to an external web page. A JavaScript client attached to the webpage listens for user input, which it sends through the Ajax endpoint to your flow for processing. We can use Ajax connector in two ways: ◦ In first, if we drag and drop ajax connector at the start of the flow it acts as the inbound connector for that flow. ◦ If we put it in middle or at end of flow then it acts as an outbound connector.
- 4. Ajax configuration - General Tab ◦ General tab contains following properties – ◦ Display name – User can give a name of the connector for display purposes. ◦ Channel – This is the channel over which Ajax communicates with the web page. ◦ Connector configuration – A drop down allows to select a previously created AJAX connector configuration or one can create a new configuration by clicking on green + button in bottom right corner.
- 5. Ajax configuration - Advanced Tab(Cont.) ◦ Advanced tab contains following properties – ◦ Address – This property contains the value of address for this AJAX connector endpoint. ◦ Response Timeout – This property tells AJAX connector endpoint to wait for how much time before timing out a request. ◦ Encoding – This property tells what encoding standard have been applied on message data. ◦ MIME Type – Mime type is the data type that endpoint supports e.g. application/json.
- 6. Ajax configuration - Advanced Tab ◦ Advanced tab contains following properties – ◦ Connector endpoint – A drop down allows to select a previously created AJAX connector configuration or one can create a new configuration by clicking on green + button in bottom right corner. ◦ Checkboxes available in Advanced tab – ◦ Disable Transport Transformer – Must be checked if there is no need to use the endpoint’s default response transport. ◦ Enable default events tracking – Check this box to enable business event tracking for this endpoint.
- 7. Ajax configuration – Reconnection Tab(Cont.) ◦ The Reconnection tab contains following properties – ◦ Do not use a Reconnection Strategy – This is the default radio button which specifies do not try to reconnect if there is error connecting to the web address URL.
- 8. Ajax configuration – Reconnection Tab ◦ The Reconnection tab contains following properties – ◦ Standard Reconnection – Use this radio button to enable a standard reconnection strategy. ◦ Frequency (ms) – The frequency time in milliseconds after which the AJAX connector will try to access the web address URL. ◦ Reconnect Attempts – This tells how many times the AJAX connector will try to connect to web address URL. ◦ Reconnector Forever – Check this box if there is need to make AJAX connector connect to web address URL until there is a successful connection with it. ◦ Custom Reconnection – Use this radio button to create a custom Reconnection strategy. ◦ Class – The java class which will come in action after a failed connection attempt. ◦ Run the connection in a separated thread – Check this box if there is need to use this custom reconnection operation in separate thread.
- 9. Ajax configuration – Transformers Tab(Cont.) ◦ The Transformers tab contains following properties- ◦ Global Transformers - A synchronous transformers that will be applied to the request before it is sent to the transport.
- 10. Ajax configuration – Notes and Metadata Tab ◦ Notes tab - This tab is used to add special notes for the Ajax connector. ◦ Metadata tab – This tab is used to add any metadata entry for Ajax connector.