This document discusses implementing a cache for Mule Community Edition using a custom interceptor, as Community Edition does not include the cache scope feature of Enterprise Edition. It provides an example of a custom interceptor that caches payload data and includes a filter expression. The document then demonstrates configuring and testing the custom interceptor by calling a web service that retrieves and caches database records, even after the records are deleted from the database directly. So the custom interceptor allows implementing caching capabilities in Community Edition similarly to the cache scope in Enterprise Edition.
Writing simple web services in java using eclipse editorSantosh Kumar Kar
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This is a simple steps showing how you can write a simple web service, host into a server, write a client class to access the service on web server. Just for a beginners...
This is what I created in 2006 - 2007. Inspired by Ruby on Rails, I wanted to have something similar for Java, J2EE that would accelerate building web apps. I have built few projects on top it and those worked pretty well.
We don't this. Java also has many solid options now like Play, Spring and more.
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Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as āpredictable inferenceā.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
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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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatās changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. We have seen examples on Mule Cache mechanism with Cache Scope. But this time we will see implementing
Cache for Mule Community Edition.
Mule Community Edition doesnāt have the Cache Scope as Mule Enterprise Edition, so to implement Cache in
Community Edition we require Custom Interceptor.
You can already refer https://github.com/ddossot/mule-in-action-
2e/blob/master/chapter12/src/main/java/com/prancingdonkey/interceptor/PayloadCacheInterceptor.java
which shows implementing Cache in Community Edition by David Dassot.
In my demonstration I have modified the code and implemented on the top of it with additional Filter
Expression
3.
4. To use Cache with Mule we have to construct our flow in following way :-
You can see the flow is divided into 2 parts and is connected by VM component. You can see we have
used Custom Interceptor to implement Cache in this Community Edition
5. Our Mule config will be as follow:-
You can see we are using our Custom interceptor implemented and a spring property filterExpression
which will filter the expression we want to implement .
7. In next step we will be running and testing the application. This web
service will interact with database retrieve a row from the database
and show the row value in the SOAP response.
8. Here how we will test the web service :-
You can see that we have used SoapUI to test the web service. Now when we hit
the service, you can see in the SOAP request, it takes id as input and then fetches all
the data from the database for that id.
9. Now, what we will do is manually deleting the entire row from the
database. In my case, I have used sql server and deleted the row
from the table using a SQL query:-
10. With this in place, if we again hit the service, we will get the same
response as we got earlier:-
And that means our Cache is working and itās responding from the Cache and not hitting the
actual Database !!! So our Custom interceptor is implementing the Cache !!
11. So you can see that we have implemented the Cache for the Community Edition which has
the feature of filtering the expression like the Cache scope of Enterprise Edition.
So, you can implement your own Cache using Custom Interceptor.
12. In my next slide I will bring some other techniques in Mule implementation .
Hope you have enjoyed this simpler version.
Keep sharing your knowledge and let our Mule community grow ļ
