Mule ESB is a lightweight Java-based integration platform that allows different applications to communicate with each other by acting as a transit system for carrying data between applications. It supports over 30 protocols and technologies and includes powerful capabilities like acting as a single point of access, transaction manager, and security manager. Mule ESB uses flows to process messages where each message passes through a sequence of message processors like transformers, filters, routers, and components. Key elements of Mule messages include properties, variables, payload, and attachments.
Anypoint Studio Transformers helps us to transform the message to required format which helps in easy integration with other systems. You can use in built transformers given by Mule or you can develop a new custom on your own.
The DataWeave Language is a powerful template engine that allows you to transform data to and from any kind of format (XML, CSV, JSON, Pojos, Maps, etc).
Anypoint Studio Transformers helps us to transform the message to required format which helps in easy integration with other systems. You can use in built transformers given by Mule or you can develop a new custom on your own.
The DataWeave Language is a powerful template engine that allows you to transform data to and from any kind of format (XML, CSV, JSON, Pojos, Maps, etc).
Contoh prototype pada perusahaan sebelum produksi massalM Idris Setiawan
PROTOTIPE PESAWAT N219 BUATAN INDONESIA SEGERA DILUNCURKAN
PROTOTIPE MOBIL LISTRIK TERBARU, BUATAN INDONESIA
PROTOTIPE SMART BOMB JSOW DARI LITBANG KEMENTERIAN PERTAHANAN
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
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
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
3. 3
Why we use Enterprise Service Bus?
ESB as Single Point of Access
ESB as Transaction Manager
ESB as Security Manager
4. 4
Why we use Mule Enterprise Service Bus?
Support for more than 30 protocols and technologies
Simplified POJO-based programming model leveraging existing developer skill-sets
for fast deployment
Support for multiple access points such as JMS, JDBC, and SOAP
No reliance on vendor-specific proprietary protocols
Ease of use – services can be configured easily in one configuration file.
Extensive data transformations out of the box
Small footprint: memory and disk, no application server required
Integration platform model: highly modular, easily extensible codebase - implement
proven patterns and build streamlined solutions to unique challenges
The open source advantage: large community of real-world integration experts and
developers using Mule and contributing to codebase
5. Mule ESB Flow
Mule ESB is a lightweight Java-based enterprise service bus (ESB) and
integration platform that allows developers to connect applications together
quickly and easily, enabling them to exchange data. Mule ESB enables easy
integration of existing systems, regardless of the different technologies that the
applications use, including JMS, Web Services, JDBC, HTTP, and more.
The key advantage of an ESB is that it allows different applications to
communicate with each other by acting as a transit system for carrying data
between applications within your enterprise or across the Internet. Mule ESB
includes powerful capabilities that include:
6. 6
Software Requirement for Mule Application
Operating System- Windows XP SP2, Windows 2000, Windows 2003 Server (32-
bit if using the Java Service Wrapper), Linux, Solaris, AIX, HP-UX, and Mac
OSX.
Application Servers- Tomcat, JBoss,WebSphere, WebLogic, and Jetty.
Messaging- Any JMS vendor; users have reported integration via Active MQ,
Open MQ, TIBCO EMS, TIBCO Rendezvous, Oracle AQ, and IBM Web Sphere
MQ
Java- JDK 1.5 and 1.6
7. Mule use to transport to receive and send message from and to all kind of
source including Java Messaging service (JMS), HTTP, FTP,
TCP/IP,SMTP,POP3 and file. Another important concept of mule is the service
definitions which consist some specific layers that can be solve the integration
of multiple protocol and application’s communication problems.
Application
Channel
Message Receiver
Connector
Transformers
Inbound Routers
Component
Outbound Routers
Message Dispatcher
Mule Component Overview
8. Flow is a Message Source followed by a chain
of message processors
Each processors is invoked in a sequence
Processor operate a message
9. What is Message Processor
Message processors are responsible for processing the
received message.
These message processors are categorized by function:
Components: perform business logic & are typically
application specific
Transformers: transform the message
Filters: accept/reject messages
Routers: control the message flow
Endpoints: send/receive messages over a transport
10. What is Sub Flow
Sub flow is a private flow which is not
visible outside the current flow
A sub flow will not have a Message Source.
11. Mule Message
The Data received from an endpoint is packaged
into an object that implements Mule Message
interface
A Message contains:
A series of properties that vary
depending on the transport
Variables – Session and Flow
The data as the payload of the Mule Message.
If required, a series of attachments
that can accompany the message.
12. Mule Message Structure
The Mule message is the data that passes through an application via one or
more flows. It consists of two main parts:
The message header, which contains metadata about the message
The message payload, which contains your business-specific data.
13. Mule Message Properties and Variables
Message header consists of properties which
provide useful information about the message
variables represent data about a message
Properties have two main
scopes: inbound and outbound.Inbound Property
14. Inbound Message properties are immutable
Automatically generated by the message source and
cannot be set or manipulated by the user.
They contain metadata specific to the message
source that prevents scrambling of data formats or
other processing mishaps later in the message's
lifecycle.
A message retains its inbound properties only for
the duration of the flow; when a message passes out
of a flow, its inbound properties do not follow it
Inbound Message properties
15. They contain metadata similar to that of an inbound
property, but an outbound property is applied after
the message enters the flow
Outbound properties can be set automatically by
Mule or a user can set them by manually inserting
one or more transformer elements in the flow.
If the message is passed to a new flow via a flow-
ref rather than a connector, the outbound properties
remain outbound properties rather than being
converted to inbound properties
Outbound Message Properties