The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
Java is the native language in which Mule is coded.
The Java component enables the developer to package custom Java code that executes when the component receives a message.
The Java component can be used to enhance the functionality and capability of your web-based applications written in Java.
Java is the native language in which Mule is coded.
The Java component enables the developer to package custom Java code that executes when the component receives a message.
The Java component can be used to enhance the functionality and capability of your web-based applications written in Java.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
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.
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/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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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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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.
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.
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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
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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
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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:
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- 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;
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Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
4. Mule is Has Advanced
Technologies
• SEDA
– Staged Event-Driven Architecture
• Java NIO
– Java New Input/Output
4
5. SEDA
• SEDA decomposes a complex, event-driven software application into a set
of stages connected by queues
• This design avoids the high overhead associated with thread-based
concurrency models, and decouples event and thread scheduling from
application logic
• By performing admission control on each event queue, the service can be
well-conditioned to load, preventing resources from being overcommitted
when demand exceeds service capacity
• SEDA employs dynamic control to automatically tune runtime parameters
(such as the scheduling parameters of each stage) as well as to manage
load, for example, by performing adaptive load shedding
• Decomposing services into a set of stages also enables modularity and
code reuse, as well as the development of debugging tools for complex
event-driven applications
5
6. Java NIO
• NIO is a collection of Java programming language APIs that
offer advanced features for intensive I/O operations
• NIO facilitates an implementations that can directly use the
most efficient operations of the underlying platform
• NIO includes:
– Buffers for data of primitive types
– Character set encoders and decoders
– A pattern-matching facility based on Perl-style regular expressions (in
package java.util.regex)
– Channels, a new primitive I/O abstraction
– A file interface that supports locks and memory mapping
– A multiplexed, non-blocking I/O facility for writing scalable servers
6
7. 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
7
8. XML Pipeline
• 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)
8
9. CRV Example
• Flow of XML document through approval
processes
9
Submit
CRV
Deed
Matched
CRV
SSN
Stripped
CRV
Income
Tax
Audit
County
Audit
County
Approval
State
Audit
State
Approval
10. Decomposition
• Example of XML Operations used on CRV
10
Validate Split
Remove
SSN
Element
Store
Modify
Value
Add
Element
Modify
Value
Add
Element
11. Declarative Approach
• Focus on specifying "What" not "How"
• Empower business analysis to write machine-
readable specifications
• Hide the "How" behind services with clear
interfaces (SOA)
11
13. Universal Message Object (UMO)
• 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
13
14. Transport
• A transport or "provider", is a set of objects
that add support to Mule to handle a specific
kind of transport or protocol
• Examples
– the "Email Provider" enables Mule to send and
receive messages via the SMTP, POP and IMAP
protocols
14
15. Connector
• A connector is the object that sends and
receives messages on behalf of an endpoint.
• Connectors are bundled as part of specific
transports or providers.
• For example, the FileConnector can read
and write file system files.
15
16. Router
• A router is the object that do something with
messages once they have been received by a
connector, or prior to being sent out by the
connector
16
17. Filter
• A filter optionally filters incoming or outgoing
messages that are coming into or going out from a
connector.
• For example, the File Provider comes with a
FilenameWildcardFilter that restricts which
files are read by the connector based on file name
patterns. For example only files with the .xml
extension can be routed.
• Filters are used in conjunction with Routers.
17
18. Transformer
• A transformer optionally changes incoming or
outgoing messages in some way
• This is usually done to make the message
format useable by a downstream function
• Examples:
– the ByteArrayToString transformer converts byte
arrays into String objects.
18
19. Mule Event Flow
• The nine stages of a
mule event
– first 2 – inbound
– middle 4 –
component
– last 2 – outbound
19
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Inbound
Component
Outbound
Optional Step
20. Message Receiver Endpoint
• Some event triggers a
message flow
– A file being written into a
folder
– A message arriving on a
message queue
– A record in a database
– Data written to a socket
20
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Endpoint
(Message Receiver)
21. Inbound Router
• The inbound router is the fist step in a
message. Functions typically
performed by an inbound router
– Filtering
– Remove duplicate messages
– Matching messages
– Aggregation (combining)
– Re-sequence data
– Forwarding
• See also
– IdempotentReceiver
– CorrolationAggregator
– CorrelationResequencer
21
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Endpoint
(Message Receiver)
22. Interceptor
• Used to intercept message flow
into your service component
• Used trigger monitor/events or
interrupt the flow of the message
• Example: an authorization
interceptor could ensure that the
current request has the correct
credentials to invoke the service.
22
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Service Invocation
Interceptor
Endpoint
(Message Receiver)
Interceptor
23. Inbound Transformer
• If the inbound data
is not in the correct
format for the
service it must be
transformed at this
point
23
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Inbound Transformer
24. Service Invocation
• The actual service is
performed
• In mule, this is generally a
Java object
• Service invocation can also
be a "pass through"
24
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Outbound Transformer
Interceptor
Interceptor
Inbound Transformer
Service Invocation
25. Outbound Router
• Dispatching the data
to all the relevant
endpoints
25
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Transformer
Interceptor
Interceptor
Inbound Transformer
Service Invocation
Outbound Router
26. Built-in Router Classes
Inbound Outbound Response
Idempotent Receiver Filtering Outbound Router Response Aggregator
Selective Consumer Recipient List
Aggregator Multicasting Router
Resequencer Chaining Router
Forwarding Consumer Message Splitter
Filtering List Message
Splitter
Filtering Xml Message
Splitter
Exception Based Router
26
27. Outbound Transformer
• Any transformations that needs to
be done on the message after a
service has been performed on the
message can be executed before it is
put into the endpoint
• See Also
– EnvelopeInterceptor
27
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Interceptor
Interceptor
Inbound Transformer
Service Invocation
Outbound Router
Outbound Transformer
29. Omitted From Examples for Brevity
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mule-configuration PUBLIC "-//MuleSource //DTD
mule-configuration XML V1.0//EN"
"http://mule.mulesource.org/dtds/mule-
configuration.dtd">
29
32. Only Moving XML Files
<inbound-router>
<endpoint address="file:///c:/mule-class/in">
<filter pattern="*.xml"
className=
"org.mule.providers.file.filters.FilenameWildcardFilter"/>
</endpoint>
</inbound-router>
32
Add the filter line to only move files with the extension
"*.xml". If you add a file "foobar.txt to the input folder it
will not be moved.
33. Keeping the Name The Same
<outbound-router>
<router
className="org.mule.routing.outbound.OutboundPassThroughRouter">
<endpoint
address=
"file:///c:/mule-class/out?outputPattern=$[ORIGINALNAME]"
/>
</router>
</outbound-router>
33
Add the outputPattern parameter to keep the output
name the same as the input.
34. Happy Path and Exceptions
• By default, error free documents follow a central path known
as the "happy path"
• Documents that have errors may be handled in different ways
(rejected, warnings etc.)
34
Start StopStep 1 Step 2 Step 3
Stop Stop Stop
35. Exception Handling
• Mule has a special way of handling non-happy path processing. This
is called an "Exception Strategy" but is it really just and exception
path and there is very little strategy involved.
• There are three places you can associate an exception strategy
– connector
– component
– model (set for all components in a model)
35
37. Sample XML
<?xml version="1.0" encoding="UTF-8"?>
<Data>
<Element1>Hello World!</Element1>
<Element2>String</Element2>
<Element3>String</Element3>
<DansInvalidDataElement>This is Dans invalid data element</DansInvalidDataElement>
</Data>
37
XML Schema validation will generate an error message
when it gets to the fourth invalid data element:
Given the following XML Schema file:
38. Validating against an XML Schema
<outbound-router>
<router className="org.mule.routing.outbound.FilteringXmlMessageSplitter">
<endpoint
address="file:///c:/mule-class/out?outputPattern=$[ORIGINALNAME]"/>
<properties>
<property name="validateSchema" value="true"/>
<property name="externalSchemaLocation"
value="file:///c:/mule-class/labs/07-validate/my-
schema.xsd"/>
</properties>
</router>
</outbound-router>
38
To validate the XML Schema, just add two properties:
1) tell it to validate the document
2) tell it what file to use and where to find it
39. Error Message
document : cvc-complex-type.2.4.d: Invalid content was found
starting with element 'DansInvalidDataElement'. No child
element is expected at this point.
39
This error message is generated on the Mule console
when an invalid data element is found. But what should
we do with it? How do we redirect it to the appropriate
user?
40. Thank You!
Please contact me for more information:
• Enterprise Service Bus
• Enterprise Integration
• Metadata Management
• Metadata Registries
• Service Oriented Architectures
• Business Intelligence and Data Warehouse
• Semantic Web
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