Mule is a lightweight Java-based messaging framework that allows for integration of applications regardless of technology. It uses an Enterprise Service Bus architecture to act as a transit system to carry data between applications. Mule wraps application functionality as services with components for business logic, routers to specify data flow, and transports to carry messages between services while transforming data as needed. This enables exchange of data among applications to build scalable and adaptable systems.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
2. Purpose and Objectives
Mule – Brief Introduction
Special Features
Messaging Framework
Architecture
Logical Data Flow
Summery
3. Mule – Brief Introduction
Mule is a lightweight Java-based messaging framework that allows you to quickly
and easily connect your applications and enable them to exchange data.
Mule uses a service-oriented architecture (SOA), enabling easy integration of your
existing systems. Regardless of the different technologies the applications use,
including JMS, Web Services, JDBC, HTTP, and more, Mule seamlessly handles
interactions among them all. The Mule framework is highly scalable, allowing you
to start small and connect more applications over time. Mule manages all the
interactions between applications and components transparently, regardless of
whether they exist in the same virtual machine or over the Internet, and
regardless of the underlying transport protocol used.
Mule is based on ideas from Enterprise Service Bus (ESB) architectures. 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 intranet or across the Internet. There are currently several commercial
ESB implementations on the market. However, many of these provide limited
functionality or are built on top of an existing application server or messaging
server, locking you into that specific vendor. Mule is vendor-neutral, so different
vendor implementations can plug in to it. You are never locked in to a specific
vendor when you use Mule.
4. Special Features
Mule components can be any type you want. You can easily integrate anything
from a "plain old Java object" (POJO) to a component from another framework.
Mule and the ESB model enable significant component reuse. Unlike other
frameworks, Mule allows you to use your existing components without any
changes. Components do not require any Mule-specific code to run in Mule,
and there is no programmatic API required. The business logic is kept
completely separate from the messaging logic.
Messages can be in any format from SOAP to binary image files. Mule does not
force any design constraints on the architect, such as XML messaging or WSDL
service contracts.
You can deploy Mule in a variety of topologies, not just ESB. Because it is
lightweight and embeddable, Mule can dramatically decrease time to market
and increases productivity for projects to provide secure, scalable applications
that are adaptive to change and can scale up or down as needed.
5. Messaging Framework
The advantage of networking your applications is that one application can send data to another
application. However, many applications don't have the ability to read or process data coming
from another application. Mule solves this problem by providing a messaging framework that
reads, transforms, and sends data as messages between applications. A message is simply a packet
of data that can be handled and sent between applications on a specific channel (also called a
queue).
At the simplest level, when you connect applications to Mule, it reads data from one application,
transforms it as needed so it can be read by the target application, and sends it to that application.
This allows you to integrate all types of applications, even those that were not built to be
integrated.
Mule is a messaging framework based on ideas from Enterprise Service Bus (ESB) architectures.
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 intranet or across
the Internet. The heart of the system is the message bus, which routes messages between
applications.
One difference between Mule and a traditional ESB is that Mule only converts data as needed.
With a typical ESB, you have to create an adapter for every application you connect to the bus and
convert the application’s data into a single common messaging format. The development of these
adapters and the time required to process every message requires a lot of time and effort. Mule
eliminates the need for a single message format. The information is sent on any communication
channel, such as HTTP or JMS, and is translated only as needed along the way. Therefore, Mule
increases performance and reduces development time over a traditional ESB.
6. Architecture
Mule is based on the concept of a service-oriented architecture (SOA). The SOA approach to
development allows IT organizations to create applications by bringing together components
of application functionality, or services. Services are discrete sets of functionality that are
completely separate from each other but can work together on the same objects. For
example, if you need to process invoices, you might have one service that merges customer
data from a database into the invoice and another service that checks the inventory database
to see if the items on the invoice are in stock.
Because each service stands alone, services can be used as building blocks for multiple
processes and do not have to be recreated for each type of process or message. For example,
the service that merges customer data onto the invoice could also be used to merge customer
data onto statements, letters, or other documents. This modular approach allows you to
create functionality once and re-use it as many times as needed, streamlining development.
Using SOA, businesses can realize dramatic savings on development costs and can rapidly
adapt to changing business conditions by reusing and reconfiguring existing services in
developing new applications. SOA also enables better integration of enterprise IT resources,
including previously isolated application silos and legacy systems. Mule fully supports the SOA
approach and orchestrates communication among the services, allowing you to easily tie all
these applications together.
8. Logical Data Flow (Continue…)
1. The customer places an order on the company web site, and an invoice is created as an XML
form and submitted to http://myfirm.com/orders.
2. The HTTP transport receives the XML invoice and wraps it in a Mule message. The Customer
Data service’s inbound endpoint is set to http://myfirm.com/orders, and its inbound router
specifies that the message must contain a Java object, so the HTTP transport prepares to
transform the XML invoice and dispatch the message to the service.
3. The XML to Object transformer converts the XML invoice into a Java object. Note that the
next service and the final application also expect Java objects, so no further transformers are
used in this scenario.
4. The transport passes the message with its transformed payload to the Customer Data
service.
5. The Customer Data service component queries the master customer database to pull
additional data about the customer and updates the invoice with the data.
6. The HTTP transport uses the outbound router configuration to determine that it must now
dispatch the message to http://myfirm.com/verify.
7. The HTTP transport uses the inbound router configuration of the Inventory Verification
service to receive the message and pass it to the service component.
8. The service component updates the invoice with an ID code of the warehouse that has all
the items on the invoice in stock.
9. The outbound endpoint specifies a JMS address, so the JMS transport dispatches the
message to the order fulfillment application, which picks up orders on that address.
9. Summery
Mule provides a messaging framework that enables exchange of data among
applications. The application functionality is wrapped as a service, which includes a
service component (the business logic that processes the data), routers (which use
endpoints to specify where to send the message), and other configuration settings.
Transports carry the messages on different channels from service to service, and
transformers convert the messages and data as needed along the way.
Mule is not a replacement for existing application frameworks. Instead, Mule
leverages many open source projects such as Apache CXF, Spring, and ActiveMQ
and fills a void in enterprise Java development where an application requires
complex interactions with a variety of systems on a variety of platforms. Mule
makes light work of wiring systems together in a robust, decoupled environment
with little to no code and provides the necessary support to route, transport, and
transform data to and from these systems.
10. Summery
Mule provides a messaging framework that enables exchange of data among
applications. The application functionality is wrapped as a service, which includes a
service component (the business logic that processes the data), routers (which use
endpoints to specify where to send the message), and other configuration settings.
Transports carry the messages on different channels from service to service, and
transformers convert the messages and data as needed along the way.
Mule is not a replacement for existing application frameworks. Instead, Mule
leverages many open source projects such as Apache CXF, Spring, and ActiveMQ
and fills a void in enterprise Java development where an application requires
complex interactions with a variety of systems on a variety of platforms. Mule
makes light work of wiring systems together in a robust, decoupled environment
with little to no code and provides the necessary support to route, transport, and
transform data to and from these systems.