The document provides an introduction to Amorph Systems and their SMARTUNIFIER product. It introduces Frank Frauenhoffer as the Managing Director of Amorph Systems and discusses their key business domains of Airport Solutions and Industrial Solutions. It then focuses on describing SMARTUNIFIER, their integration platform that aims to provide unified IT integration across heterogeneous systems in a simple, fast and powerful way. It discusses challenges of current industry landscapes and how SMARTUNIFIER addresses interoperability needs. The document provides examples of how SMARTUNIFIER can be deployed and operated in different scenarios, as well as its application areas and use cases.
On your marks, get set GO!
Take a more in-depth look at the automation and orchestration journey and the future of SOAR.
Watch the SOCtails video here: https://www.youtube.com/watch?v=YzsGQzqaDYw&t=2s
Looking into 2020 and beyond, we are certainly going to continue this trend of strategic technology investment and architecture evolution. This session’s aim is to highlight Splunk platform evolutionary approach to address key technology trends. Additionally, many customers are adopting Serverless cloud services to deliver their cloud solutions. This session will include a live demo of a new library of functions which provides Google Cloud Platform (GCP) serverless “push” capability to send data into Splunk, via HTTP Event Collector (HEC).
Splunk AI & Machine Learning Roundtable 2019 - ZurichSplunk
Splunk Artificial Intelligence and Machine Learning Roundtable held in Zurich on November 6th 2019. Presented by Philipp Drieger, Staff Machine Learning Architect.
These are the slides from the webinar broadcast on April 1st 2020, presented by Philipp Drieger. Content covers:
- Introduction to AI and ML Features in Splunk
- Customer Use Case Examples
- Live Demo of Machine Learning Toolkit, with examples for:
Methods for Anomaly Detection, Predictive Analytics and Forecasting, and Clustering
- Custom Machine Learning, incl.: Advanced Containerization and Expansion with MLSPL API
Extending Splunk to Business Use Cases With Automated Process MiningSplunk
Operational teams in lines of business, like finance, manufacturing, marketing, or customer service are looking for the same benefits of Splunk that IT and Security team have enjoyed for years. With the rapid digitization of nearly every business process, Splunk can identify millions of dollars in operational efficiencies by helping detect customer fallout and process bottlenecks. Built-in reports from applications don’t provide the broad visibility needed to understand end-to-end processes. Meanwhile, basic process mining approaches don’t provide deeper root cause diagnosis. Splunk Business Flow has the unique ability to provide continuous insights on and diagnosis of end-to-end customer journeys and business processes. In this session, learn how Splunk’s innovations in automated process mining can empower your operational business users with in-depth visibility into customer funnels and business processes to dramatically reduce fallout and bottlenecks.
AI and Machine Learning can be used for the greater good. Why should AI be applied and what are the main challenges that have to be tackled when harnessing the power of AI for social good? Find out more here.
Leveraging Splunk Enterprise Security with the MITRE’s ATT&CK FrameworkSplunk
Threat Models and Methodologies such as MITRE’s ATT&CK knowledge base are growing in popularity to help track adversaries and map Tactics, Techniques and Procedures (TTP’s) to build and measure security defence profiles. This session will provide an introduction to MITRE’s ATT&CK Methodology and show how Splunk Enterprise Security (ES) and Splunk content updates can help you leverage MITRE ATT&CK in your defensive strategies.
Better Threat Analytics: From Getting Started to Cloud Security Analytics and...Splunk
Fighting the Eternal Challenge: Dealing with Alert Fatigue and Getting Insights into Security Productivity.
Lessons for a Fast Start in Automation and Orchestration.
On your marks, get set GO!
Take a more in-depth look at the automation and orchestration journey and the future of SOAR.
Watch the SOCtails video here: https://www.youtube.com/watch?v=YzsGQzqaDYw&t=2s
Looking into 2020 and beyond, we are certainly going to continue this trend of strategic technology investment and architecture evolution. This session’s aim is to highlight Splunk platform evolutionary approach to address key technology trends. Additionally, many customers are adopting Serverless cloud services to deliver their cloud solutions. This session will include a live demo of a new library of functions which provides Google Cloud Platform (GCP) serverless “push” capability to send data into Splunk, via HTTP Event Collector (HEC).
Splunk AI & Machine Learning Roundtable 2019 - ZurichSplunk
Splunk Artificial Intelligence and Machine Learning Roundtable held in Zurich on November 6th 2019. Presented by Philipp Drieger, Staff Machine Learning Architect.
These are the slides from the webinar broadcast on April 1st 2020, presented by Philipp Drieger. Content covers:
- Introduction to AI and ML Features in Splunk
- Customer Use Case Examples
- Live Demo of Machine Learning Toolkit, with examples for:
Methods for Anomaly Detection, Predictive Analytics and Forecasting, and Clustering
- Custom Machine Learning, incl.: Advanced Containerization and Expansion with MLSPL API
Extending Splunk to Business Use Cases With Automated Process MiningSplunk
Operational teams in lines of business, like finance, manufacturing, marketing, or customer service are looking for the same benefits of Splunk that IT and Security team have enjoyed for years. With the rapid digitization of nearly every business process, Splunk can identify millions of dollars in operational efficiencies by helping detect customer fallout and process bottlenecks. Built-in reports from applications don’t provide the broad visibility needed to understand end-to-end processes. Meanwhile, basic process mining approaches don’t provide deeper root cause diagnosis. Splunk Business Flow has the unique ability to provide continuous insights on and diagnosis of end-to-end customer journeys and business processes. In this session, learn how Splunk’s innovations in automated process mining can empower your operational business users with in-depth visibility into customer funnels and business processes to dramatically reduce fallout and bottlenecks.
AI and Machine Learning can be used for the greater good. Why should AI be applied and what are the main challenges that have to be tackled when harnessing the power of AI for social good? Find out more here.
Leveraging Splunk Enterprise Security with the MITRE’s ATT&CK FrameworkSplunk
Threat Models and Methodologies such as MITRE’s ATT&CK knowledge base are growing in popularity to help track adversaries and map Tactics, Techniques and Procedures (TTP’s) to build and measure security defence profiles. This session will provide an introduction to MITRE’s ATT&CK Methodology and show how Splunk Enterprise Security (ES) and Splunk content updates can help you leverage MITRE ATT&CK in your defensive strategies.
Better Threat Analytics: From Getting Started to Cloud Security Analytics and...Splunk
Fighting the Eternal Challenge: Dealing with Alert Fatigue and Getting Insights into Security Productivity.
Lessons for a Fast Start in Automation and Orchestration.
ifaceX is a secure and scalable platform for exchanging and monitoring enterprise interfaces that transfers data from one endpoint to another, such as REST APIs, databases, clouds, files, mails, etc. with many standard templates, e.g. Spotify, HubSpot, SWIFT, NIST, PayPal, financial APIs, etc., as well as with additional Reader/Writer packages for connecting to FTP, FTPS, SFTP, WebDav, OpenStack, Google Cloud Storage, Google Drive, Amazon AWS S3, Dropbox, Microsoft Azure Blob Storage, BackBlaze B2 Storage.
It also easily runs any process or even programming code that can be monitored. Processing can be fully customized in many ways, including flexible target field mapping based on formulas and data mapping via a drag-and-drop user interface. Therefore, it is also a Big Data mapper tool.
How cloud computing enables Tradeshift to deliver continuous and global e-inv...hippebrun
Tradeshift delivers electronic invoicing and social networking to the browser of businesses around the world. To do so, we employ a highly dynamic cloud-based infrastructure that scales in near real-time. In this talk we present Tradeshift's e-invoicing product, how we manage the dynamics of the infrastructure and how we ensure a continuous product development- and delivery process.
Anders Nickelsen has a background in networks and distributed system and has a PhD in computer networks from Aalborg University. At Tradeshift, he works as a quality assurance engineer with special focus on continuity of infrastructure management and quality of software releases.
Mikkel Hippe Brun is co-founder of Tradeshift and holds a Masters degree in Computer Science from DIKU. Mikkel has worked for many years with e-invoicing and large scale infrastructures for exchange of business documents. Mikkel is chair of the OASIS Business Document Exchange Technical Committee.
How to bring innovation to your organization by streamlining the deployment process ?
IaaS, PaaS or Docker containers are all valid methods that can be tailored for your needs. They each come with advantages and drawbacks, and are opposed each day by vendors and providers along. Should we really impose a standard for every team ?
Integrate the AWS Cloud with Responsive Xilinx Machine Learning at the Edge (...Amazon Web Services
In this workshop, learn how you can integrate Xilinx edge machine learning with massive scale AWS Cloud analytics, machine learning model building, and dashboards. Based on an Oil & Gas scenario, you will learn how to combine AWS Cloud services with AWS Greengrass on Zynq Ultrascale+ and Amazon FreeRTOS on Xilinx Zynq-7000. After this workshop, you will have a concrete understanding of Machine Learning applicability at the edge and its relationship with the AWS Cloud.
Easy enterprise application integration with RabbitMQ and AMQPRabbit MQ
VMware vFabric RabbitMQ Technical Webinar December 2010 by VMware engineer Emile Joubert. Covers common integration patterns, and how RabbitMQ makes these easily implemented, using AMQP as a communications mechanism.
You can view a recording of this presentation on YouTube: http://www.youtube.com/user/SpringSourceDev#p/c/5956C6D9EC319817/0/ABGMjX4K0D8
That’s one small step for IT, one giant leap for business agility
Give to your business the moon as in this REX of micro-services solution used in the Airbus flight tests department to rebuild a large and complex systems. This medium size on-going project took some technical decisions and finally managed to bring the Micro-Services philosophy in a huge legacy IT system.
The value of the platform play in real world use cases Software AG cwin18 tou...Capgemini
Software AG Cumulocity IoT and Capgemini key enablers to to go beyond the current paradigms and transform the business by seamlessly combining people, things and differentiation.
MicroEJ OS is a scalable Operating System for resource-constrained embedded and IoT devices, optimized for a wide range of hardware architectures.
With MicroEJ OS, OEMs use proven methods that cut software development time and cost. They create software that delivers incredible user experience and adjusts to Internet business needs.
MicroEJ development tools enable device manufacturers to deliver differentiating firmware using MicroEJ SDK.
.conf Go 2023 - Das passende Rezept für die digitale (Security) Revolution zu...Splunk
.conf Go 2023 presentation:
"Das passende Rezept für die digitale (Security) Revolution zur Telematik Infrastruktur 2.0 im Gesundheitswesen?"
Speaker: Stefan Stein -
Teamleiter CERT | gematik GmbH M.Eng. IT-Sicherheit & Forensik,
doctorate student at TH Brandenburg & Universität Dresden
.conf Go 2023 presentation:
De NOC a CSIRT
Speakers:
Daniel Reina - Country Head of Security Cellnex (España) & Global SOC Manager Cellnex
Samuel Noval - Global CSIRT Team Leader, Cellnex
Splunk - BMW connects business and IT with data driven operations SRE and O11ySplunk
BMW is defining the next level of mobility - digital interactions and technology are the backbone to continued success with its customers. Discover how an IT team is tackling the journey of business transformation at scale whilst maintaining (and showing the importance of) business and IT service availability. Learn how BMW introduced frameworks to connect business and IT, using real-time data to mitigate customer impact, as Michael and Mark share their experience in building operations for a resilient future.
Data foundations building success, at city scale – Imperial College LondonSplunk
Universities have more in common with modern cities than traditional places of learning. This mini city needs to empower its citizens to thrive and achieve their ambitions. Operationalising data is key to building critical services; from understanding complex IT estates for smarter decision-making to robust security and a more reliable, resilient student experience. Juan will share his experience in building data foundations for a resilient future whilst enabling digital transformation at Imperial College London.
Splunk: How Vodafone established Operational Analytics in a Hybrid Environmen...Splunk
Learn how Vodafone has provided end-to-end visibility across services by building an Operational Analytics Platform. In this session, you will hear how Stefan and his team manage legacy, on premise, hybrid and public cloud services, and how they are providing a platform for complex triage and debugging to tackle use cases across Vodafone’s extensive ecosystem.
.italo operates an Essential Service by connecting more than 100 million people annually across Italy with its super fast and secure railway. And CISO Enrico Maresca has been on a whirlwind journey of his own.
Formerly a Cyber Security Engineer, Enrico started at .italo as an IT Security Manager. One year later, he was promoted to CISO and tasked with building out – and significantly increasing the maturity level – of the SOC. The result was a huge step forward for .italo.
So how did he successfully achieve this ambitious ask? Join Enrico as he reveals the key insights and lessons learned in his SOC journey, including:
Top challenges faced in improving security posture
Key KPIs implemented in order to measure success
Strategies and approaches applied in the SOC
How MITRE ATT&CK and Splunk Enterprise Security were utilised
Next steps in their maturity journey ahead
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!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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/
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.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Manufacturing Webinar AMS
1.
2. 2 Copyright Amorph Systems GmbH; confidential
Introduction
Frank Frauenhoffer
Managing Director
Development & Operations
• Founder and Managing Director of
Amorph Systems
• Over 20 Years Experience in Automation and
Vertical Integration
• Worked in many Industries, e.g. Automotive,
Electronics, Semiconductor, Photovoltaic, etc.
• Leader of SMARTUNIFIER Product Development
• Based in Stuttgart, Germany
• Contact
email: frank.frauenhoffer@amorphsys.com
mobile: +49 151 51094525
3. 3 Copyright Amorph Systems GmbH; confidential
Amorph Systems at a Glance
Amorph Systems was founded with the clear
vision to provide the best IT products & services
for integration and operation of complex logistics
systems. „Transform Data into Value!“
Key Business Domains are:
Airport Solutions Industrial Solutions
4. 4 Copyright Amorph Systems GmbH; confidential
AIRPORT SOLUTION: AMORPH.aero
5. 5 Copyright Amorph Systems GmbH; confidential
INDUSTRY SOLUTION: SMARTUNIFIER
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
ISO/TCP
SEMI SECS II and SEMI PV2
MQTT
Beckhoff
Siemens S7
...
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
IBM MQ
ActiveMQ
MQTT
SAP MII
Database (SQL)
ISO/TCP
SEMI SECS II and SEMI PV2
AZURE
AWS
Mindsphere
...
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
SMARTUNIFIER
BRINGS
SEMANTICS
TO DATA
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components
6. 6 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER
Unified IT Integration
SIMPLE
FAST
POWERFUL
7. 7 Copyright Amorph Systems GmbH; confidential
But how does Reality look like in Industry now?
Anlage
Up to Date Reality Example (Shopfloor)
§ Heterogeneous shopfloor equipment / factories
§ Non-standardized interfaces
§ Historical grown IT landscapes
§ Industry 4.0 requires a network where „every thing
communicates with every thing“ (IIoT) – Need for
interoperability
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Non-standardized Communication / No Semantic
Data
Lake
interfaceA
interfaceB
interfaceC
<?xml version="1.0" encoding="UTF-8"?>
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для переводаКонец текста
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美しいので、もう1つ
書く翻訳のためのさ
らなるテキストテキ
ストの終わり
8. 8 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
Flexible & Scalable: Parallel Connection of Multiple IT-Systems
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
ISO/TCP
SEMI SECS II and SEMI PV2
MQTT
Beckhoff
Siemens S7
...
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
IBM MQ
ActiveMQ
MQTT
SAP MII
Database (SQL)
ISO/TCP
SEMI SECS II and SEMI PV2
AZURE
AWS
Mindsphere
...
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
SMARTUNIFIER
BRINGS
SEMANTICS
TO DATA
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components
9. 9 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER
Simple: Example of a Mapping
• Triggers & Actions
can be defined
graphically
(Drag&Drop) to
transfer information
from any source
device to any
destination device
or IT System.
• The used
communication
protocol (e.g. PLC,
OPC-UA, file, DB,
...) for each
communication
channel is hidden.
Connected to Native PLC Connected with OPC-UA
10. 10 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
SMARTUNIFIER-Manager and Instances
Runs in
Data Center
Runs on
Industrial PCs
Runs on
SMARTUNIFIERBOX™
SMARTUNIFIER can be operated at the Edge, On-Premise, in Data Centers or in Cloud Platforms. Hybrid
Deployments are supported as well.
Possible
Operation
Types
Runs in Platforms
(SaaS, PaaS)
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Examples
11. 11 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
SMARTUNIFIER-Manager and Instances
SmartUnifier
SmartUnifier
SMARTUNIFIER
Instance
SMARTUNIFIER
Manager
• Dashboard
• Information Models
• Mappings
• Deployments
• Communication
Instances
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Deployment
Management
Monitoring
SMARTUNIFIER is based on a fully decentral system architecture (Swarm) using Container Technologies for
virtually unlimited scalability.
12. 12 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
Example: AWS Cloud Deployment Scenario
SMARTUNIFIER
Manager
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
Protocol A1 Protocol A2 Protocol A3 Protocol ...
Protocol E1..n Protocol E1..n Protocol E1..n Protocol E1..n
Deployment View
SMARTUNIFIER-
BOX
...
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
Services/App 1
e.g. MES
Services/App 2
e.g. OEE
Services/App 3
e.g. ERP
Services/App …
e.g. Analytics
Repository
...
AWS Cloud AWS Cloud
AWS CloudAWS Cloud
Data Center Data Center
Industrial PC Data Center
• SMARTUNIFIER
can be deployed
easily at the Edge,
On-Premise as well
as within the Cloud
to accomodate to
any possible
communication
requirement.
13. 13 Copyright Amorph Systems GmbH; confidential
5. Results
Data
Equipment
6. Process
Data
Equipment
7. Results
Data
Operator
MES
Equipment ID-Reader Operator Terminal
1. Read ID
2. Release Order
3. Start Order Processing
4. End of Order Processing
5. Send Equipment Results Data
6. Send Equipment Process Data
7. Send Operator Results Data
Analytics
1. ID
1. ID
2. Release
Order
3. Start
Order
2. Release
Order
3. Start
Order
4. Finish
Order
5. Results
Data
Equipment
4. Finish
Order
6. Process
Data
Equipment
7. Results Data
Operator
5. Results
Data
Equipment
Protocol: OPC-UA
or MQTT/JSON
Protocol:
ActiveMQ
with XML
Protocol:
PLC via TCP-IP
Protocol:
Text via TCP/IP
Protocol:
REST/XML
7. Results
Data
Operator
SMARTUNIFIER
Informationsmodell
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Operation of SMARTUNIFIER Integration Platform
Practical: Implementation of Communication Workflows
• SMARTUNIFIER is able
to implement whole
communication
sequences, as these are
required in real-world
use case scenarios.
• An Example Workflow
(Car Assembly)
encorporates the
following steps:
14. 14 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
System Requirements
System Requirements
• Computer and Processor 1 GHz or faster, x86-bit- or x64-bit-processor
• Memory 512 MB RAM
• Hard Disk / SSD 1 GB free space
• Display PC (Engineering, Dashboard): 1280 x 1024 Resolution
Mobile Devices (Dashboard): Apple iPhone 6 or higher, Android
• Operating System Windows 10, Windows 8, Windows 7, Windows Server 2016,
Windows Server 2012 R2, Windows Server 2012, Linux, MacOS
For an optimal user experience always use the newest version of the operating system
• Browser Current version of Microsoft Edge/Internet Explorer, Safari, Chrome, Firefox
(further Browsers untested)
• Other Docker Container Environment with its latest version
• SMARTUNIFIER
requires low
hardware capacity
only and can be
operated on
numerous
standard hardware
platforms.
16. 16 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
Application Areas and Use Cases
Communication Standards and
Information Modelling
• Migration to Industry Communication
Standards (e.g. OPC_UA, MQTT, DDS, ...)
• Migration to Information Semantics
(Ontologies) Standards
(e.g. EUROMAP,
Automation ML, SECS...)
Flexible Edge and Cloud Integration Digital Transformation Use Cases
• Equipment Monitoring & Control
• Edge Device Monitoring & Control
• Sensor/Actor Monitoring & Control
• Versatile Data Distribution
(Edge, on-premise, Cloud)
• Production IT Systems Integration
(e.g. MES, ERP, OEE, ...)
• Data Lake / Big Data Feeding
• Production Heat Map
• Condition Monitoring
• Real-time Data Analytics
• Predictive Maintenance
• Equipment Self Service
• Production as a Service
• Machine Learning
• Artifical Intelligence
• ...and many more.
SMARTUNIFIER provides seamless and easy to use Intercconnectivity for virtually all important
Use Cases required to successfully perform Digital Transformation and migrate to Industry 4.0
• Southbound / Northbound Communication
• Westbound / Eastbound Communication
• Multi-Protocol and Multi-Channel
Communication
• State-of-the-Art Security
<cloud/>
17. 17 Copyright Amorph Systems GmbH; confidential
Mission: Stepwise Evolution
SMARTUNIFIER leads to the Enterprise Nervous System
EDGE
Objects of an
ENTERPRISE
NERVOUS SYSTEM
INDUSTRIAL RESOURCES
Equipment (EQ)
Sensors (S)
Actors (A)
Goods and Material (GM)
Humans (H)
APPLICATIONS
On-premise (OP)
Cloud (C)
Edge (E)
DATA STORAGES
File System (FS)
Databases (DB)
Data Lakes (DL)
1st Stage: SU as Edge Integration Platform
EQ
A DB
S
S
A
EQ
E ML App
E
AI App
E Mon App
F
SU
SU
SU
SU
SU
SU
Edge GW
Equipment
Connector
Device
Connector
Edge GW
Edge GW
OEM
Connector
H
Operator Terminal /
Smart Device
GM GM
SU
Goods & Material
Equipment
Local File
Storage
SU
SMARTUNIFIER Instance
Traditional
Communication Channel
SMARTUNIFIER
Communication Channel
Supplier CLOUD
C
Predictive
Maintenance App
C
Performance
Dashboard App
C
Production as a
Service App
C
Supplier App
Public CLOUD
C
ERP
Cloud App
DL
DB
C
Enterprise OEE
App
Data Lake
DB Cluster
C
Artificial Intelligence
App
C
Inventory Mgmt
App
FS
File System
Cluster
IOT
IOT
ON-PREMISE /
Outpost CLOUD
SCADA App
OP
OP
OP
OP
Dashboard App
MES
App
ERP
On-Premise
App
FS
OP
OEE App
SU Supplier
Gateway
• 1st Stage: Starting with
Edge Connectivity, step
by step Devices and IT
Systems are integrated
seamlessly into ENS.
18. 18 Copyright Amorph Systems GmbH; confidential
Mission: Stepwise Evolution
SMARTUNIFIER leads to the Enterprise Nervous System
Public CLOUD
EDGE
ON-PREMISE /
Outpost CLOUD
Objects of an
ENTERPRISE
NERVOUS SYSTEM
INDUSTRIAL RESOURCES
Equipment (EQ)
Sensors (S)
Actors (A)
Goods and Material (GM)
Humans (H)
APPLICATIONS
On-premise (OP)
Cloud (C)
Edge (E)
DATA STORAGES
File System (FS)
Databases (DB)
Data Lakes (DL)
EQ
A DB
S
S
A
EQ
E ML App
E
AI App
E Mon App
F
SU
SU
SU
SU
SU
SU
SCADA App
OP
OP
C
Equipment
Connector
Device
Connector
OP
OEE App
OP
OP
Dashboard App
MES
AppEdge GW
SU
SU
Legacy
Protocol
Standard
Protocol
ERP
Cloud App
SU
On Premise
Gateway
ERP
On-Premise
App
DL
DB
FS
C
Enterprise OEE
App
OEM
Connector
SU
Standard
Protocol
OEM
Connector
H
Operator Terminal /
Smart Device
Data Lake
DB Cluster
SU
C
SU
SU
OEM
Connector
Supplier CLOUD
SU
Artificial Intelligence
App
Supplier
Gateway
C
Supplier App
C
Predictive
Maintenance App
Supplier
Gateway
C
Performance
Dashboard App
GM GM
SU
Goods & Material
Equipment
C
SU
Inventory Mgmt
App
FS
File System
Cluster
Local File
Storage
SU
• Long-term: All ENS
Objects are
interconnected and
operate seamlessly with
standardized Enterprise
and Industry Semantics.
IOT
SU
IOT
SU
OEM
Connector
C
Production as a
Service App
SU
SU
OEM
Connector
Internet of
Things
SU
SMARTUNIFIER Instance
Traditional
Communication Channel
SMARTUNIFIER
Communication Channel
Long-term: SU as Enterprise Integration Platform
Legacy
Standard
SU Supplier
Gateway
Edge GW
Edge GW
19. SMARTUNIFIER
Example Use Case with Splunk
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
• Seamless Interconnectivity
• from Every Thing to Every Thing
• at any Location
(Edge, On-Premise, Cloud)
20. 20 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER
Example Use Case: Realtime OEE Monitoring & Analysis
Challenges
• Rapidly integrate production equipment and IOT devices (using simulated equipment) to upper
level Manufacturing Execution Systems (simulated MES) and in parallel to Splunk Enterprise.
• Realise convincing showcase with minimal effort and in shortest time frame.
Business Statement
• Realise an easy to use and convincing demonstrator for calculation and visualization of OEE
Key Performance Indicators (KPIs)
• The demonstrator addresses following areas:
• Production Logistics: Visualization and analysis of fab-wide OEE
• Quality: Correlation of quality problems with process parameters and plant events
• Maintenance: Use of an OEE dashboard for maintenance (Augmented Reality)
Approach with Smart Unifier
• Apply Smart Unifier to integrate simulated production equipment with MES and Splunk
• Create information models and mappings for connection to Splunk Enterprise (REST) and
simulated MES (OPC-UA)
• Map equipment data into structured JSON format for REST-based communication with Splunk
Targets
• Use of Splunk and SmartUnifier for data provision, examination, visualization and analysis
• Overview of the possibilities for KPI monitoring and alarming (-> offline analysis -> automatic
limit value monitoring -> machine learning)
• Example for automated notification of other systems (e.g. MES) based on production data
deviations
• Example for advanced OEE dashboarding with mobile devices (Augmented Reality)
OEE Analysis with Smart Unifier and Splunk Enterprise
MES
Model
EquipmentToMes
Mapping
Equipment
Model
Splunk
Model
Channel M1 Channel S1
Channel E1
EquipmentToSplunk
Mapping
MES
OPC-UA
OPC-UA
REST
OEE
21. 21 Copyright Amorph Systems GmbH; confidential
Line 1 Line 2 Line ...
Line OEE
Facility OEE
Line OEE Line OEE
Events:
- Status Data
- Results
- Process Data
OEE Production Scenario
Overview
Events:
- Status Data
- Results
- Process Data
Events:
- Status Data
- Results
- Process Data
Events:
- Status Data
- Results
- Process Data
Facility Model with multiple Production Lines and Equipment
22. 22 Copyright Amorph Systems GmbH; confidential
MES
Status
Data
Results
Data
Results
Data
Status
Data
1
Status
Data
2 Process
Data 3
Process
Data
1. Sending status data (events)
from the system to Splunk
2. Sending results data (events)
from the line to the MES and
Splunk
3. Sending process data
(high volume events) from the
line to Splunk
OEE-Dashboard
OEE Production Scenario
Information Flow
Sending Status Data, Results Data and Process Data
2 1 2 31
Results
Data
23. 23 Copyright Amorph Systems GmbH; confidential
Overview of the quality
history with emphasis on
defective parts.
Depending on the
operating status, the
corresponding status is
displayed.
Breakdown of the OEE
by sub-components.
Overview of the order
history.
OEE Production Scenario
Dashboard and Analytics Example
Splunk Enterprise Dashboard with Production Data Overview
24. 24 Copyright Amorph Systems GmbH; confidential
Main Differences
Comparison of traditional IT-Interface vs SMARTUNIFIER
SMARTUNIFIERTraditional Interfaces / Middleware
Complex register-based View to Device Data Comfortable Access to Device Data via configurable
Information Models with Semantics
Protocol Mapping from Edge Devices to upper-level IT
Systems needs to be implemented manually
Configurable Protocol Mapping from Devices to
upper level IT Systems
Limited Scalability and Performance /
Typically outdated centralized System Architecture.
Virtually unlimited Scalability / Fully decentralized / High
Performance / Multiple Communication Channels
No Data Semantics Full Support of Data Semantics
Local Deployment of Interfaces or via central
Middleware
Local / Cloud / Hybrid Deployment of the Interfaces
AWS Support / Splunk Support
Not-reusable Interface Implementations for every single
Device Type
Fully reusable Interfaces for similar Device Types
Traditional
Middleware SMARTUNIFIER
Multiple IT-Systems
Multiple Devices/Equipment
Historical – Database-Centric
Bi-directional Communication
Disruptive – Seamless Interconnectivity
Fully Distributed – Unlimited Scalability
Enabler of Digital Transformation
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components