Learn about content enrichment using the Mule Message Enricher component to enrich the payload with additional information without disturbing the payload.
This document contains top 50 MuleSoft Interview questions for the MuleSoft software development job aspirants. Also, this helps, who are taking MCD API Design Associate exam.
This document contains top 50 MuleSoft Interview questions for the MuleSoft software development job aspirants. Also, this helps, who are taking MCD API Design Associate exam.
Frequently asked MuleSoft Interview Questions and Answers from TechlightningArul ChristhuRaj Alphonse
MuleSoft Interview Questions and answers from youtube channel Techlightning
https://www.youtube.com/watch?v=JqBgT2t6cCQ&list=PLfEAetjBY9s4YdBie3VSpufxNcnC3wJvK
Frequently asked MuleSoft Interview Questions and Answers from TechlightningArul ChristhuRaj Alphonse
MuleSoft Interview Questions and answers from youtube channel Techlightning
https://www.youtube.com/watch?v=JqBgT2t6cCQ&list=PLfEAetjBY9s4YdBie3VSpufxNcnC3wJvK
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. Mule Message Enricher is one of the scopes in Mule which allows the
current message to be augmented using data from a separate
resource, which we call the Enrichment Resource. The Mule
implementation of the Enrichment Resource (a source of data to
augment the current message) can be any message processor.
In simple language, we can say a message enricher
enriches the current payload with some additional message or
information and this is done without disturbing the current payload.
Enricher is used if the target system needs more information than the
source system can provide. It enriches the Mule message by calling an
external system or doing some transformation to the existing payload
and saving it into some scope of variable, like session, outbound, or
invocation, and the transformation happening in the enricher scope
doesn't affect the actual payload. Set-property: Save some information
extracted from payload or original payload to some invocation or
flow scope variable.
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4. The Mule Message Enricher is designed for performing interactions like
calling an outbound endpoint and bringing the result back to the main
flow, which will be used to add the additional information into the
existing payload.
One common scenario involves the need to enrich an incoming message
with information that isn’t provided by the source system. You can use a
content enricher if the target system needs more information than the
source system can provide.
Mule Message Enricher allows the current message to be used in
performing a particular task separately without disturbing the original
message. Mule Message Enricher is best used in the case when you do not
want to lose your existing payload.
Example: If, in your flow, if you need to call an external service with an HTTP
outbound/HTTP request component in middle of the flow after getting the
response from the HTTP external service call you will find that your current
payload is modified with the response of the external service, but you didn't
want to change or disturb the existing payload. In that case, we can wrap our
HTTP outbound/HTTP request component inside the enricher and it will
make a call to the external system, store the result and your existing payload
will not be modified.
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5. Below is the step by step process to demonstrate
how Message Enricher works.
Enricher sends a copy of the original message
into the processor.
The original message waits.
The copy is processed.
The copy's response is a message.
Part(s) of the response are added to part(s) of
the original message.
The enriched message moves forward.
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6. The way in which the message is enriched (or modified) is by
explicitly configuring mappings (source->target) between the result
from the Enrichment Resource and the message using Mule
Expressions. Mule Expressions are used to both select the value to be
extracted from the result that comes back from the Enrichment
Resource (source) and to define where this value to be inserted into
the message (target). The default source, if not configured, is the
payload of the result from the Enrichment Resource.
The “enrichment resource” can be any message processor, outbound
connector, processor-chain, or flow-ref. If using an outbound-connector
then, of course, it should have a request-response exchange pattern.
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7. IMP Note: As only one component can reside inside Message Enricher,
use of processor chain is recommended if more components are needed to
reside inside Message Enricher.
Let’s walk through how to use Mule Message Enricher in application. In this
example, we are receiving the JSON Request consisting Employee data with
id and role of the employee through HTTP call from the REST client. Our
objective here is to add the additional information which is the name of the
employee to the source data. For this, we will be calling Database to get the
information about the employee name and that will be added in the
source JSON to be sent back to the user.
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