Mule Esb Introduction
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Mule is an open-source enterprise service backbone (ESB) that can move data between different endpoints and applications in a flexible way. It uses a universal message object and XML configuration to define event flows through various routing, transformation, and processing stages. Core concepts include routing with filters and splitters, exception handling strategies, and defining business logic in reusable Java components that operate on standardized message objects.
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Introduction to mule esb
This document provides an introduction to Mule ESB, an open-source integration platform. It discusses what Mule ESB is, how it is used, and its core concepts. Key points covered include Mule ESB being an enterprise service backbone, its use of advanced technologies like SEDA and Java NIO, how it moves data between different endpoints and transports, its use of XML pipelines to perform operations on files, and its core concepts like the universal message object and endpoints.
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Flowvar and Sessionvar in Mule
FlowVars retain their values between message processors within a single flow, while SessionVars retain their values between flows within a Mule application. To test the difference, a sample app declares a test FlowVar and SessionVar, then logs the results, showing that the FlowVar can only be accessed within its flow while the SessionVar can be accessed between flows.
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1. The document discusses selecting Mule as an ESB over other open source options like Fuse after evaluating criteria like maintenance, support, licensing, performance, and integration capabilities.
2. Examples of Mule use cases are presented, including embedding Mule in a Java web application, controlling access to endpoints using Spring security, and routing requests to different data sources using Groovy.
3. Best practices discussed include using Mule testing components during development, combining SoapUI with mock services for testing, and taking a staged approach to migrating systems to the new ESB architecture.
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This document provides an overview of Mule ESB and messaging with Mule. It discusses:
- Mule ESB 3.x, the Mule Management Console, and Mule Studio.
- How Mule provides a messaging framework to transfer data between applications as messages with a payload, properties, and optional attachments.
- The differences between Mule and a traditional ESB, with Mule only converting data as needed versus requiring an adapter for every application in a traditional ESB.
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Introduction to mule esb
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Flowvar and Sessionvar in Mule
FlowVars retain their values between message processors within a single flow, while SessionVars retain their values between flows within a Mule application. To test the difference, a sample app declares a test FlowVar and SessionVar, then logs the results, showing that the FlowVar can only be accessed within its flow while the SessionVar can be accessed between flows.
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- The differences between Mule and a traditional ESB, with Mule only converting data as needed versus requiring an adapter for every application in a traditional ESB.
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3. Functional testing using the FunctionalTestCase to run Mule within tests and mock components using FunctionalTestComponent.
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Mule is an open-source enterprise service backbone (ESB) that allows users to move data between different endpoints and applications in a flexible way. It uses a universal message object and XML configuration to define message processing pipelines. These pipelines can include operations like validation, transformation, splitting and merging of XML files. Mule also provides routing functionality and handles exceptions that occur during message processing.
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The document discusses decomposing a complex Mule flow into smaller parts using VM components.
The VM transport allows breaking a large, complex flow into smaller pieces connected by queues for better control and performance. This helps control each event queue, reduces flow complexity, and prevents resources from being overcommitted.
The example shows exposing a CXF web service by breaking the flow into two parts connected by a VM queue. It stores the SOAP action in a property before sending to the VM queue to preserve it for the second flow.
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1. Types of testing for Mule including unit, functional, integration, performance, and continuous integration testing.
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Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as a transit system carrying data between applications within or across organizations. Mule enables integration regardless of technology and provides capabilities like service creation, mediation, routing, and transformation. When integrating 3 or more applications that may need to connect more in the future or use different protocols, an ESB like Mule can help with its scalability and reusable components. Mule Studio provides a graphical interface to design integration flows by connecting message sources, processors, and connectors.
Mule
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows developers to connect applications together quickly and easily, enabling data exchange between applications. It provides capabilities like service creation and hosting, service mediation, message routing, and data transformation to integrate existing systems regardless of technology. Mule ESB evaluates whether an ESB is needed based on factors like integrating multiple applications, supporting future application integration, handling multiple communication protocols, and message routing requirements.
Mule slides
Mule ESB is a lightweight Java-based enterprise service bus and integration platform that allows developers to connect applications together quickly and easily, enabling data exchange between applications. It provides capabilities like service creation and hosting, service mediation, message routing, and data transformation to integrate existing systems regardless of technology. Mule ESB evaluates whether an ESB is needed based on factors like integrating multiple applications, supporting future application integration, requiring different communication protocols, and needing message routing capabilities.
Mule esb kranthi
Mule ESB is a lightweight Java-based integration platform that allows applications to connect and exchange data. It acts as an integration bus, carrying data between applications within or across organizations. Mule enables integration between applications using different technologies through its wide range of connectors. It provides capabilities for service creation, mediation, routing, and transforming messages between applications.
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Web services Overview in depth
This document provides an overview of the history and evolution of XML technologies. It discusses how XML was developed based on SGML and aimed to describe data in a structured format. Key technologies enabled by XML include XML schemas, which define document structure and data types, and transformations languages like XSLT, which allow XML documents to be manipulated. The document also outlines Java APIs that can be used to programmatically work with XML documents and parse XML content.
Install sonarqube plugin
The document provides instructions for installing the SonarQube plugin in Anypoint Studio in 6 steps: 1) copy SonarQube and Sonar-runner zip files to the local machine and extract them, 2) open Anypoint Studio and navigate to "Help-> Install new Software", 3) click "Add" and add the SonarSource URL, 4) select the SonarQube Java plugin and click next, 5) select the SonarQube Java Analyzer and click finish, 6) to start SonarQube, run the StartSonar.bat file from the SonarQube server folder.
Junit in mule
MUnit is a framework for writing functional test cases in Mule that allows mocking of components like SAP, Salesforce, and databases. When writing functional tests with JUnit, the tests interact directly with the actual components. MUnit allows mocking these components to return custom payloads and avoid modifying real data during tests. The document provides examples of mocking Salesforce and database components in MUnit tests.
commit a project in svn
This document provides steps for committing and checking out code from an SVN repository using the SVN plugin in Anypoint Studio. It outlines:
1) How to share a project with an SVN repository by right clicking the project, selecting "Team", then "Share Project" and specifying the repository URL.
2) The process for checking out a project from the SVN repository by opening the "SVN Repository Exploring" perspective, right clicking within it to add a new repository location, then checking out the desired project.
3) The procedure for committing changes to the shared repository which involves saving changes, right clicking the project to select "Commit", adding commit notes, selecting files, and clicking "Commit".
Github plugin setup in anypoint studio
The document provides steps for setting up GitHub integration in Anypoint Studio, including installing the GitHub plugin, saving a project to a Git repository for version control, committing and pushing changes to a remote repository, and importing or cloning projects from Git repositories.
For each component
The document discusses using the ForEach component in Mule applications. It allows splitting a collection into elements and processing them iteratively through embedded processors. An example flow is provided that uses a ForEach component to iterate over results from a database query and log each element. The flow executes a select query, passes results to ForEach to iterate and log each record, and returns the original message.
Filter expression
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.
Mule File component
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.
Mule Database component
The document discusses using the Database component in Mule to connect to a database and execute SQL queries. It provides an example Mule flow that defines a JDBC data source and connector to an MS SQL database, uses a JDBC outbound endpoint to execute a SELECT query, and logs the results. The example connects to a database, runs a select query, and prints the results.
Mule Choice component
The document describes how to use the Choice component in Mule applications to conditionally route messages based on message properties or payload values. It provides an example Mule flow that sets a session property, logs it in two flows, and uses the Choice component in the second flow to check the session property value and route the message accordingly. The Choice component allows conditional logic similar to if/else statements.
Mule stored procedure
The document discusses how to call stored procedures from a Mule application using Mule's database component. It explains how to create a stored procedure in a database like MS SQL, then call it from a Mule flow by configuring the database connector and invoking the stored procedure using SQL. Testing the application by hitting a URL in the browser confirms that the stored procedure runs successfully from Mule.
Deploying and running in mule standalone
Mule Standalone Server is a proprietary application server that can host Java code, web services, and Mule applications. To deploy a Mule application, it must be exported from Anypoint Studio as a zip file and copied to the Mule Standalone app folder. Starting the mule.bat file launches the Mule Standalone server, deploying any applications in the app folder. The document then walks through creating a simple Mule application in Anypoint Studio, exporting and deploying it to the Mule Standalone server, and invoking it to confirm it is running successfully.
Mule real-world
The document describes implementing an enterprise service bus (ESB) using Mule to integrate different systems involved in processing a loan quote request. It discusses the components, including a Loan Broker service, Credit Agency service, Lender service, and Banking systems. The event flow is described, starting with a client request to the Loan Broker which triggers credit checks and requests loan quotes from various banks before returning the best offer to the client. Key aspects of the Mule implementation are outlined, including using messages, endpoints, and transformations to integrate the components over various transports.
Webservice with vm in mule
The document discusses decomposing a complex Mule flow into smaller parts using VM components.
The VM transport allows breaking a large, complex flow into smaller pieces connected by queues for better control and performance. This helps control each event queue, reduces flow complexity, and prevents resources from being overcommitted.
The example shows exposing a CXF web service by breaking the flow into two parts connected by a VM queue. It stores the SOAP action in a property before sending to the VM queue to preserve it for the second flow.
Validating a soap request in mule
The document discusses validating SOAP requests in Mule by using a schema validation filter. The filter allows validating a SOAP request against an XSD schema file. If invalid, a custom error message can be returned. The code example shows adding the filter to the flow before the SOAP service. This validates requests and routes invalid ones to a subflow to return the error.
Using xslt in mule
XSLT is used to transform XML payloads between different forms. In Mule, the XSLT transformer component allows transforming XML payloads using XSLT stylesheets. For example, a flow uses an HTTP inbound endpoint, sets an XML payload, and applies an XSLT stylesheet using the XSLT transformer to output a new transformed XML payload. The XSLT stylesheet matches elements in the input XML and outputs a new structure defined in the stylesheet.
Simple groovy example in mule
This document discusses using a Groovy scripting component in Mule to add a delay to a flow. The Groovy component uses the sleep method to pause message processing for a specified time period. This allows holding the payload for a set interval before writing the file to the outbound location. The example flow reads a file from one directory, uses a Groovy script to sleep for 3000ms, then writes the file to another directory.
Scatter gather flow control
The document discusses scatter-gather flow control in Mulesoft. Scatter-gather sends a request message concurrently to multiple targets and aggregates the responses. It replaces the deprecated all message processor by executing routes in parallel instead of sequentially, improving efficiency. Scatter-gather collects results into a message collection. If a route fails, it sets the exception payload and throws a composite exception mapping failures to routes.
Mule with velocity
Mule can be used to send emails with a predefined Velocity template that allows designing the email body with HTML tags, images, and logos. Dynamic values can be picked up from a properties file and inserted into the template. A Velocity transformer Java class is used to set the email payload and map external dynamic values. The template contains HTML tags to design the email content and references dynamic values from the properties file. When tested, the application successfully sends an email with the customized body defined in the Velocity template.
Mule with rabbit mq
RabbitMQ is an open source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to queues via exchanges and receive messages from queues via exchanges, as demonstrated using direct exchanges to send a message to a queue and receive it.
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Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
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- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
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.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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?
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Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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
Fueling AI with Great Data with Airbyte Webinar
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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).
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.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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* 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 and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Recently uploaded (20)
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
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How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
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WeTestAthens: Postman's AI & Automation Techniques
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Mule Esb Introduction
- 1. © SpringPeople Software Private Limited, All Rights Reserved. Introduction to Mule ESB
- 2. Agenda • What is Mule? • How do you use Mule? • What are the core Mule concepts? • Learning mule with File endpoints
- 3. Enterprise Service Backbone • Mule is an open-source Enterprise Service Backbone (ESB)
- 4. Mule – Advanced Technologies • •SEDA • Staged Event-Driven Architecture • •Java NIO • Java New Input/Output
- 5. Mule’s “Moves Things Around” • Folder to folder • Queue to queue • Shared memory to shared memory • Using different types of transports • In a flexible way
- 6. XML Pipeline © SpringPeople Software Private Limited, All Rights Reserved. • An XML pipeline is a series of operation that are performed on one or more XML files • Examples include: – validate – transform – prune (remove nodes) – split (break a single XML file into many files) – merge (join two or more files together)
- 7. CRV Example © SpringPeople Software Private Limited, All Rights Reserved. • Flow of XML document through approval processes Submit CRV Deed Matched CRV SSN Stripped CRV Income Tax Audit County Audit County Approval State Audit State Approval
- 8. Decomposition © SpringPeople Software Private Limited, All Rights Reserved. • Example of XML Operations used on CRV Validate Split Remove SSN Element Store Modify Value Add Element Modify Value Add Element
- 9. Core Mule Concepts • Mule Manager • Mule Model • Universal Message Object (UMO) • Endpoints • External Applications © SpringPeople Software Private Limited, All Rights Reserved.
- 10. Universal Message Object (UMO) © SpringPeople Software Private Limited, All Rights Reserved. • A UMO is a type of Java object that can – receive events "from anywhere" – send events • UMO Components are usually your business objects. They are components that execute business logic on an incoming event • UMO are standard JavaBeans (containers) • There is no Mule-specific code in your components • Mule handles all routing and transformation of events to and from your objects based on the configuration of your component
- 11. Mule Event Flow • The nine stages of a mule event – first 2 – inbound – middle 4 – component – last 2 – outbound © SpringPeople Software Private Limited, All Rights Reserved. Endpoint (Message Receiver) Endpoint (Message Dispatcher) Inbound Router Outbound Router Inbound Transformer Outbound Transformer Interceptor Service Invocation Interceptor Inbound Component Outbound Optional Step
- 12. Built-in Router Classes © SpringPeople Software Private Limited, All Rights Reserved. Outbound Response Filtering Outbound Router ResponseAggregator Recipient List Multicasting Router Chaining Router Message Splitter Filtering List Message Splitter Filtering Xml Message Splitter Exception Based Router
- 13. Exception Handling © SpringPeople Software Private Limited, All Rights Reserved. • Mule has a special way of handling non-happy path processing. This is called an "Exception Strategy" but is it really just and exception path and there is very little strategy involved. • There are three places you can associate an exception strategy – connector – component – model (set for all components in a model)
- 14. Exception Strategy © SpringPeople Software Private Limited, All Rights Reserved. • We want all invalid documents to be moved into the error folder. <exception-strategy className=org.mule.impl.DefaultComponentExceptionStrategy"> <endpoint address="file:///c:/mule-class/error"/> </exception-strategy>
- 15. Who will benefit? © SpringPeople Software Private Limited, All Rights Reserved. Developers, Enterprise Architects and Development Managers having knowledge in JAVA
- 16. Thank you © SpringPeople Software Private Limited, All Rights Reserved.