Presentation made in the 2017 IEEE System of Systems conference. Co-authored by Stephen Clement, David McKee, Richard Romano and Jie Xu (University of Leeds), Jose-Maria Lopez (Simware Solutions) and David Battersby (Jaguar Land Rover)
Alex Thissen (Xpirit) - Een verschuiving in architectuur: op weg naar microse...AFAS Software
This document discusses microservices architecture as a modern approach to application development. It begins by outlining some of the challenges with monolithic architectures and how microservices address needs for scalability, agility, availability and efficiency. Key characteristics of microservices are that they are independently deployable, use lightweight protocols for communication, and are organized around business capabilities rather than technical boundaries. The document provides examples of how to decompose a monolithic application into microservices and discusses considerations for designing services, service communication, and hosting microservices using containers and orchestration platforms.
Pieter de Bruin (Microsoft) - Welke technologie gebruiken bij implementatie M...AFAS Software
The document discusses Microsoft Azure platform services and provides an overview of key capabilities. It compares Azure Cloud Services and Azure Service Fabric for developing and deploying applications. Azure Service Fabric allows building stateless and stateful microservices that can scale across a cluster and provides faster deployment and upgrades compared to Azure Cloud Services. It also outlines common scenarios for using stateless and stateful services on Service Fabric.
IncQuery Labs provides cloud-based modeling solutions to enable tool integration in model-based systems engineering (MBSE). Their IncQuery tool suite includes a desktop query authoring tool and backend server that allows running complex queries on large models. IncQuery was used to develop an interoperability platform for Airbus that automates workflows involving transformations between modeling tools and generates reports through a web interface.
The Genesis of Holistic Systems Engineering: Completeness and Consistency Man...IncQuery Labs
IncQuery Group's presentation for the MBSE CES event, “The Genesis of Holistic Systems Engineering: Completeness and Consistency Management of the Digital Thread”
This guide will help you get started with Innoslate, the full lifecycle systems engineering tool. It will take you through developing your requirements, creating model, simulating your models, and keeping traceability through the entire project.
Alex Thissen (Xpirit) - Een verschuiving in architectuur: op weg naar microse...AFAS Software
This document discusses microservices architecture as a modern approach to application development. It begins by outlining some of the challenges with monolithic architectures and how microservices address needs for scalability, agility, availability and efficiency. Key characteristics of microservices are that they are independently deployable, use lightweight protocols for communication, and are organized around business capabilities rather than technical boundaries. The document provides examples of how to decompose a monolithic application into microservices and discusses considerations for designing services, service communication, and hosting microservices using containers and orchestration platforms.
Pieter de Bruin (Microsoft) - Welke technologie gebruiken bij implementatie M...AFAS Software
The document discusses Microsoft Azure platform services and provides an overview of key capabilities. It compares Azure Cloud Services and Azure Service Fabric for developing and deploying applications. Azure Service Fabric allows building stateless and stateful microservices that can scale across a cluster and provides faster deployment and upgrades compared to Azure Cloud Services. It also outlines common scenarios for using stateless and stateful services on Service Fabric.
IncQuery Labs provides cloud-based modeling solutions to enable tool integration in model-based systems engineering (MBSE). Their IncQuery tool suite includes a desktop query authoring tool and backend server that allows running complex queries on large models. IncQuery was used to develop an interoperability platform for Airbus that automates workflows involving transformations between modeling tools and generates reports through a web interface.
The Genesis of Holistic Systems Engineering: Completeness and Consistency Man...IncQuery Labs
IncQuery Group's presentation for the MBSE CES event, “The Genesis of Holistic Systems Engineering: Completeness and Consistency Management of the Digital Thread”
This guide will help you get started with Innoslate, the full lifecycle systems engineering tool. It will take you through developing your requirements, creating model, simulating your models, and keeping traceability through the entire project.
Develop in ludicrous mode with azure serverlessLalit Kale
Today, every one of us wants to get things done fast. The fact of the matter is Serverless is a fantastic platform for doing things fast. Because, with Serverless, you really don’t have time to waste in terms of delivering your business value. Turns out you can with the right cloud services. In this talk we’ll create a microservice using Azure Functions and also get introduced to bigger picture of serverless computing.
I presented this session in Global Azure Bootcamp 2019 in Dublin. #GlobalAzure #AzureFunctions #Serverless
In this position paper, we discuss our experiences with a lightweight Web of Things (WoT) toolkit and use those experiences to explore what an effective WoT toolkit looks like. We argue that while the WoT community has experimented, like us, with a variety of toolkits, it hasn’t yet found one that appeals sufficiently to a broad range of developers. This failure, we believe, is hindering the adoption of the WoT and the growth of the community. We conclude the paper with a set of open questions, which, although not exhaustive, are aimed at opening up a community discussion on the needs of developers and how best the community can meet those needs and so further the adoption of the WoT. In essence, we believe that the time may be right to begin to agree on some basic functionality and approaches to WoT toolkits.
This document outlines a framework for designing distributed systems. It discusses two critical challenges: distribution infrastructure and concurrency. For distribution infrastructure, it describes common patterns like broker, messaging, and publisher-subscriber. For concurrency, it covers patterns such as half-sync/half-async, leader-follower, active object, and monitor objector. The document also presents various views for structuring a distributed system, such as logical, development, process, and deployment views. It concludes by thanking the reader.
Getting started with Innoslate - Systems EngineeringElizabeth Steiner
In this webinar, "Getting Started with Innoslate" Andrew Tesnow, systems engineer at SPEC Innovations and former marine, will show you how to:
Navigate through Innoslate
Manage and Analyze Requirements
Model scenarios and processes
Develop traceability throughout the system lifecycle
Simulate scenarios and processes
and more
The aim of this project is to describe a centralized compiler for core java, c#, sql, html etc which avoid the installation of the compiler on each computer to compile, run, test and debug the code.
The system mainly deals with the creation of Integrated Development Environm- ent for the java language to code compile, run, test and debug the code using the browser based IDE through the Internet and a web browser. The client machine doesn’t having java development kit. The paper aims to describe an centralized compiler which helps to reduce the problems of portability and storage space. The errors/ outputs of the code are stored in a more convenient way. Also, installation of the compiler on each computer is avoided. It was assumed that the user will use his or her favorite text editor to create and correct program files In this system we also create new java editor to create and correct program files and install mobile technology in which we can type program code in mobile and send to centralized server compiler and get the accepted output through GSM phone, but we required to connect another mobile technology to the centralized server. Another important application of our system is if we occur any query while doing the program then put this query in technical blog and if anyone are interested to give answer of that question then they put their answer on the technical blog and show this discussion for all user
As compared to the current scenario where each machine need to install compilers separately. This would eliminate the need to install compilers separately So reduce memory space. So we can compile our code at the centralized server. Another advantage of such project is that whenever the compiler package is to be upgraded it can be done easily without again installing it on each and every machine. Now user are not compile the program on mobile but our system compile the program with the help of mobile. All programs are store automatically on server so it is time consuming process
This document provides an overview of several common software architecture patterns: layered architecture, event-driven architecture, microkernel architecture, microservices architecture, and space-based architecture. Each pattern is described in terms of its components and characteristics. The patterns are then analyzed and rated on criteria such as agility, deployment ease, testability, performance, scalability, and development ease. Layered architecture is the most common pattern but scores low on many criteria, while event-driven architecture, microkernel architecture, and microservices architecture provide higher agility and scalability at the cost of lower testability and development ease. Space-based architecture is the most difficult to implement but provides high performance and scalability for applications with unpredictable concurrent user volumes
This document provides an overview of cloud computing, including definitions, history, architecture, service models, deployment models, and characteristics. It begins with defining cloud computing and what cloud means. Next, it discusses the history and evolution of cloud computing from concepts like grid computing and utility computing. The remainder of the document covers cloud architecture, including essential characteristics, service modules, and deployment types. It also discusses specific service models like SaaS, PaaS, and IaaS.
Engage 2018 - What About the Apps? A Domino Modernisation StoryJared Roberts
The document discusses the modernization of Domino applications. It notes that applications have become separated from email and mobile devices are ubiquitous. Consumer apps have set high expectations for user experience. The key disruptors are mobile usage, cloud platforms, consumer-like UX, and social/cognitive intelligence. The document recommends developing an app modernization strategy through analysis of usage and business needs. Applications can be retired, maintained, modernized by iterative updates, or replatformed to new systems like cloud. Domino 10 will make modernization easier through support for newer frameworks. Starting the process now is important to keep applications relevant.
Micro-services architecture is an evolutionary design ideal for evolutionary systems where you can’t fully anticipate the types of devices that may one day be accessing your application
Towards Scalable Validation of Low-Code System Models: Mapping EVL to VIATRA ...IncQuery Labs
Presented at the LowCode Workshop 2021 at MODELS 2021 by Benedek Horváth. Authors are Qurat ul ain Ali, Benedek Horváth, Dimitris Kolovos, Konstantinos Barmpis and Ákos Horváth.
This document discusses microservices, containers, Kubernetes, and container networking. It introduces microservices architecture and how containers provide a way to decompose monolithic applications into independent services. Container management is needed at scale, which Kubernetes provides through features like deployment, scaling, discovery, and load balancing. Adoption challenges include reworking existing applications and increased network traffic. Container networking solutions like Docker, Flannel, and Calico are discussed. A service mesh like Istio can provide networking functions separate from application logic. Extensions to OpenDaylight can leverage physical network underlays. Questions are invited at the end.
Model-driven and low-code development for event-based systems | Bobby Calderw...HostedbyConfluent
It's a dream as old as business computing: the ability to create a graphical model and then to deploy it as a working information system. Many attempts to realize this dream have come and gone with varying degrees of success, from visual programming languages like Visual Basic and Scratch, to business workflow systems like BPMN and its proprietary commercial variants, to engineering-focused systems like UML.
But let's face it: most low-code and model-based application development tools fall far short of the needs of modern software development teams. At best, they're useful for rapidly testing ideas and creating prototypes. At worst, they're used by "citizen coders" to cynically circumvent good engineering practices, with IT operations left holding the bag of operating, securing, and scaling black-box applications that cut against modern DevSecOps practices.
Event-driven application architecture, enabled by infrastructure like Kafka and its ecosystem, has the potential to dramatically advance toward the age-old, model-driven and low-code dream. But what would an event-centric and developer-friendly low-code look like?
This talk will outline strategies for low-code and model-driven development based on Event Modeling. We'll explore how event-driven application architecture provides a simple yet robust framework for generating DevSecOps-friendly code for the UI, for the web services layer, and for event-processing.
Making the Transition from the Suite to the HubJerika Phelps
The Hub builds on all the great technology developed in the Black Duck Suite over the past 10 years combined with a revamped UI and an integrated set of features. It's much easier than you would think to make the move from the Suite to the Hub. Learn how in this revealing session.
This document discusses transitioning from Black Duck's legacy software suite to the new Hub platform. It notes that the transition requires planning and depends on factors like previous implementation, customizations, and data usage. Three transition models are presented: replacing the suite without data migration, running the suite and Hub in parallel, and replacing the suite with data and process migration. The document provides guidance on assessing needs and defining a transition approach with the help of Black Duck resources.
LINQ 2 SQL Presentation To Palmchip And Trg, Technology Resource GroupShahzad
LINQ 2 SQL provides strongly-typed queries and results for relational databases. It consists of LINQ to Objects syntax to query data and tools to map classes and database tables. LINQ to SQL is an object-relational mapper that allows querying over SQL Server using LINQ. It provides an intuitive API and compile-time checking compared to other ORMs. Performance is improved by caching and optimized translation of LINQ queries to SQL.
Software architectural patterns - A Quick Understanding GuideMohammed Fazuluddin
This document discusses various software architectural patterns. It begins by defining architectural patterns as general and reusable solutions to common software architecture problems within a given context. It then outlines 10 common patterns: layered, client-server, master-slave, pipe-filter, broker, peer-to-peer, event-bus, model-view-controller, blackboard, and interpreter. For each pattern, it briefly describes the pattern and provides examples of its usage. The document aims to provide a quick understanding of architectural patterns.
Micro service architecture (MSA) is an approach to building software systems that decomposes business domain models into smaller, consistent, bounded-contexts implemented by services.
Typically implemented and operated by small teams.
Switching from SOAP to REST doesn’t make a micro services architecture.
Micro services are not a technology-only discussion.
The document discusses microservice architecture and compares it to monolithic architecture. It describes microservices as small, discrete, isolated services that can be deployed separately. A monolith is a single application combining all business logic and data access. The document outlines characteristics of microservices such as single responsibility, statelessness, independent data management and communication through APIs or message queues. It also covers deployment, testing, monitoring, metrics and the need for automation and a culture open to change when using microservice architecture.
Eclipse DemoCamp Budapest 2016 November: Best of EclipseCon Europe 2016Istvan Rath
Ebben a DemoCamp előadásban az EclipseCon Europe 2016 és SiriusCon 2016 konferenciák legfontosabb témáit, technológiáit foglalom össze, kiegészítve néhány szubjektív véleménnyel és megérzéssel a technológiai trendekről.
Cloud Computing Introduction and Awarenesswlammert
This document provides an overview of key cloud computing concepts including:
- Cloud delivery models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Considerations for migrating workloads and applications to the cloud such as rearchitecting, rehosting, or replacing applications.
- Other aspects of adopting cloud computing like security, governance, organization, and the journey to transforming IT operations to a cloud model.
<November 2017 Updated from earlier presentations on Cloud-native Data>
Cloud-native applications form the foundation for modern, cloud-scale digital solutions, and the patterns and practices for cloud-native at the app tier are becoming widely understood – statelessness, service discovery, circuit breakers and more. But little has changed in the data tier. Our modern apps are often connected to monolithic shared databases that have monolithic practices wrapped around them. As a result, the autonomy promised by moving to a microservices application architecture is compromised.
What we need are patterns and practices for cloud-native data. The anti-patterns of shared databases and simple proxy-style web services to front them give way to approaches that include use of caches (Netflix calls caching their hidden microservice), database per service and polyglot persistence, modern versions of ETL and data integration and more. In this session, aimed at the application developer/architect, Cornelia will look at those patterns and see how they serve the needs of the cloud-native application.
This document discusses cloud-native data and patterns for managing data in microservices architectures. It describes using data services and APIs to interface with existing data sources. Patterns like caching data at the edge with various caching strategies are discussed. The document also covers using multiple small databases with each microservice rather than a shared database. Event sourcing and CQRS patterns are presented as ways to integrate data across services. Finally, the impact on roles like database administrators is considered in cloud-native data environments.
Develop in ludicrous mode with azure serverlessLalit Kale
Today, every one of us wants to get things done fast. The fact of the matter is Serverless is a fantastic platform for doing things fast. Because, with Serverless, you really don’t have time to waste in terms of delivering your business value. Turns out you can with the right cloud services. In this talk we’ll create a microservice using Azure Functions and also get introduced to bigger picture of serverless computing.
I presented this session in Global Azure Bootcamp 2019 in Dublin. #GlobalAzure #AzureFunctions #Serverless
In this position paper, we discuss our experiences with a lightweight Web of Things (WoT) toolkit and use those experiences to explore what an effective WoT toolkit looks like. We argue that while the WoT community has experimented, like us, with a variety of toolkits, it hasn’t yet found one that appeals sufficiently to a broad range of developers. This failure, we believe, is hindering the adoption of the WoT and the growth of the community. We conclude the paper with a set of open questions, which, although not exhaustive, are aimed at opening up a community discussion on the needs of developers and how best the community can meet those needs and so further the adoption of the WoT. In essence, we believe that the time may be right to begin to agree on some basic functionality and approaches to WoT toolkits.
This document outlines a framework for designing distributed systems. It discusses two critical challenges: distribution infrastructure and concurrency. For distribution infrastructure, it describes common patterns like broker, messaging, and publisher-subscriber. For concurrency, it covers patterns such as half-sync/half-async, leader-follower, active object, and monitor objector. The document also presents various views for structuring a distributed system, such as logical, development, process, and deployment views. It concludes by thanking the reader.
Getting started with Innoslate - Systems EngineeringElizabeth Steiner
In this webinar, "Getting Started with Innoslate" Andrew Tesnow, systems engineer at SPEC Innovations and former marine, will show you how to:
Navigate through Innoslate
Manage and Analyze Requirements
Model scenarios and processes
Develop traceability throughout the system lifecycle
Simulate scenarios and processes
and more
The aim of this project is to describe a centralized compiler for core java, c#, sql, html etc which avoid the installation of the compiler on each computer to compile, run, test and debug the code.
The system mainly deals with the creation of Integrated Development Environm- ent for the java language to code compile, run, test and debug the code using the browser based IDE through the Internet and a web browser. The client machine doesn’t having java development kit. The paper aims to describe an centralized compiler which helps to reduce the problems of portability and storage space. The errors/ outputs of the code are stored in a more convenient way. Also, installation of the compiler on each computer is avoided. It was assumed that the user will use his or her favorite text editor to create and correct program files In this system we also create new java editor to create and correct program files and install mobile technology in which we can type program code in mobile and send to centralized server compiler and get the accepted output through GSM phone, but we required to connect another mobile technology to the centralized server. Another important application of our system is if we occur any query while doing the program then put this query in technical blog and if anyone are interested to give answer of that question then they put their answer on the technical blog and show this discussion for all user
As compared to the current scenario where each machine need to install compilers separately. This would eliminate the need to install compilers separately So reduce memory space. So we can compile our code at the centralized server. Another advantage of such project is that whenever the compiler package is to be upgraded it can be done easily without again installing it on each and every machine. Now user are not compile the program on mobile but our system compile the program with the help of mobile. All programs are store automatically on server so it is time consuming process
This document provides an overview of several common software architecture patterns: layered architecture, event-driven architecture, microkernel architecture, microservices architecture, and space-based architecture. Each pattern is described in terms of its components and characteristics. The patterns are then analyzed and rated on criteria such as agility, deployment ease, testability, performance, scalability, and development ease. Layered architecture is the most common pattern but scores low on many criteria, while event-driven architecture, microkernel architecture, and microservices architecture provide higher agility and scalability at the cost of lower testability and development ease. Space-based architecture is the most difficult to implement but provides high performance and scalability for applications with unpredictable concurrent user volumes
This document provides an overview of cloud computing, including definitions, history, architecture, service models, deployment models, and characteristics. It begins with defining cloud computing and what cloud means. Next, it discusses the history and evolution of cloud computing from concepts like grid computing and utility computing. The remainder of the document covers cloud architecture, including essential characteristics, service modules, and deployment types. It also discusses specific service models like SaaS, PaaS, and IaaS.
Engage 2018 - What About the Apps? A Domino Modernisation StoryJared Roberts
The document discusses the modernization of Domino applications. It notes that applications have become separated from email and mobile devices are ubiquitous. Consumer apps have set high expectations for user experience. The key disruptors are mobile usage, cloud platforms, consumer-like UX, and social/cognitive intelligence. The document recommends developing an app modernization strategy through analysis of usage and business needs. Applications can be retired, maintained, modernized by iterative updates, or replatformed to new systems like cloud. Domino 10 will make modernization easier through support for newer frameworks. Starting the process now is important to keep applications relevant.
Micro-services architecture is an evolutionary design ideal for evolutionary systems where you can’t fully anticipate the types of devices that may one day be accessing your application
Towards Scalable Validation of Low-Code System Models: Mapping EVL to VIATRA ...IncQuery Labs
Presented at the LowCode Workshop 2021 at MODELS 2021 by Benedek Horváth. Authors are Qurat ul ain Ali, Benedek Horváth, Dimitris Kolovos, Konstantinos Barmpis and Ákos Horváth.
This document discusses microservices, containers, Kubernetes, and container networking. It introduces microservices architecture and how containers provide a way to decompose monolithic applications into independent services. Container management is needed at scale, which Kubernetes provides through features like deployment, scaling, discovery, and load balancing. Adoption challenges include reworking existing applications and increased network traffic. Container networking solutions like Docker, Flannel, and Calico are discussed. A service mesh like Istio can provide networking functions separate from application logic. Extensions to OpenDaylight can leverage physical network underlays. Questions are invited at the end.
Model-driven and low-code development for event-based systems | Bobby Calderw...HostedbyConfluent
It's a dream as old as business computing: the ability to create a graphical model and then to deploy it as a working information system. Many attempts to realize this dream have come and gone with varying degrees of success, from visual programming languages like Visual Basic and Scratch, to business workflow systems like BPMN and its proprietary commercial variants, to engineering-focused systems like UML.
But let's face it: most low-code and model-based application development tools fall far short of the needs of modern software development teams. At best, they're useful for rapidly testing ideas and creating prototypes. At worst, they're used by "citizen coders" to cynically circumvent good engineering practices, with IT operations left holding the bag of operating, securing, and scaling black-box applications that cut against modern DevSecOps practices.
Event-driven application architecture, enabled by infrastructure like Kafka and its ecosystem, has the potential to dramatically advance toward the age-old, model-driven and low-code dream. But what would an event-centric and developer-friendly low-code look like?
This talk will outline strategies for low-code and model-driven development based on Event Modeling. We'll explore how event-driven application architecture provides a simple yet robust framework for generating DevSecOps-friendly code for the UI, for the web services layer, and for event-processing.
Making the Transition from the Suite to the HubJerika Phelps
The Hub builds on all the great technology developed in the Black Duck Suite over the past 10 years combined with a revamped UI and an integrated set of features. It's much easier than you would think to make the move from the Suite to the Hub. Learn how in this revealing session.
This document discusses transitioning from Black Duck's legacy software suite to the new Hub platform. It notes that the transition requires planning and depends on factors like previous implementation, customizations, and data usage. Three transition models are presented: replacing the suite without data migration, running the suite and Hub in parallel, and replacing the suite with data and process migration. The document provides guidance on assessing needs and defining a transition approach with the help of Black Duck resources.
LINQ 2 SQL Presentation To Palmchip And Trg, Technology Resource GroupShahzad
LINQ 2 SQL provides strongly-typed queries and results for relational databases. It consists of LINQ to Objects syntax to query data and tools to map classes and database tables. LINQ to SQL is an object-relational mapper that allows querying over SQL Server using LINQ. It provides an intuitive API and compile-time checking compared to other ORMs. Performance is improved by caching and optimized translation of LINQ queries to SQL.
Software architectural patterns - A Quick Understanding GuideMohammed Fazuluddin
This document discusses various software architectural patterns. It begins by defining architectural patterns as general and reusable solutions to common software architecture problems within a given context. It then outlines 10 common patterns: layered, client-server, master-slave, pipe-filter, broker, peer-to-peer, event-bus, model-view-controller, blackboard, and interpreter. For each pattern, it briefly describes the pattern and provides examples of its usage. The document aims to provide a quick understanding of architectural patterns.
Micro service architecture (MSA) is an approach to building software systems that decomposes business domain models into smaller, consistent, bounded-contexts implemented by services.
Typically implemented and operated by small teams.
Switching from SOAP to REST doesn’t make a micro services architecture.
Micro services are not a technology-only discussion.
The document discusses microservice architecture and compares it to monolithic architecture. It describes microservices as small, discrete, isolated services that can be deployed separately. A monolith is a single application combining all business logic and data access. The document outlines characteristics of microservices such as single responsibility, statelessness, independent data management and communication through APIs or message queues. It also covers deployment, testing, monitoring, metrics and the need for automation and a culture open to change when using microservice architecture.
Eclipse DemoCamp Budapest 2016 November: Best of EclipseCon Europe 2016Istvan Rath
Ebben a DemoCamp előadásban az EclipseCon Europe 2016 és SiriusCon 2016 konferenciák legfontosabb témáit, technológiáit foglalom össze, kiegészítve néhány szubjektív véleménnyel és megérzéssel a technológiai trendekről.
Cloud Computing Introduction and Awarenesswlammert
This document provides an overview of key cloud computing concepts including:
- Cloud delivery models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
- Considerations for migrating workloads and applications to the cloud such as rearchitecting, rehosting, or replacing applications.
- Other aspects of adopting cloud computing like security, governance, organization, and the journey to transforming IT operations to a cloud model.
<November 2017 Updated from earlier presentations on Cloud-native Data>
Cloud-native applications form the foundation for modern, cloud-scale digital solutions, and the patterns and practices for cloud-native at the app tier are becoming widely understood – statelessness, service discovery, circuit breakers and more. But little has changed in the data tier. Our modern apps are often connected to monolithic shared databases that have monolithic practices wrapped around them. As a result, the autonomy promised by moving to a microservices application architecture is compromised.
What we need are patterns and practices for cloud-native data. The anti-patterns of shared databases and simple proxy-style web services to front them give way to approaches that include use of caches (Netflix calls caching their hidden microservice), database per service and polyglot persistence, modern versions of ETL and data integration and more. In this session, aimed at the application developer/architect, Cornelia will look at those patterns and see how they serve the needs of the cloud-native application.
This document discusses cloud-native data and patterns for managing data in microservices architectures. It describes using data services and APIs to interface with existing data sources. Patterns like caching data at the edge with various caching strategies are discussed. The document also covers using multiple small databases with each microservice rather than a shared database. Event sourcing and CQRS patterns are presented as ways to integrate data across services. Finally, the impact on roles like database administrators is considered in cloud-native data environments.
A practical guidance of the enterprise machine learning Jesus Rodriguez
This session provides an analysis of the machine learning market in the enterprise. The analysis includes vendors, platforms and best practices that should be considered by companies implementing data science solutions at an enterprise scale
This webinar is going to cover what is a digital twin and how all stakeholders can benefit from their functionality. You will learn how model-based systems engineering enables digital engineering. Your host will discuss use cases, a realistic look at digital engineering and digital twins, and how you can use Innoslate to get started.
The Agenda
Here's what we're covering.
What is a Digital Twin
Benefits of Digital Twin
The Digital Engineering Path Enabled by MBSE
AR + MBSE Software
A More Realistic Digital Twin
Getting You Started with Digital Twins
Question Answer Session
Deploying ML models in production, with or without CI/CD, is significantly more complicated than deploying traditional applications. That is mainly because ML models do not just consist of the code used for their training, but they also depend on the data they are trained on and on the supporting code. Monitoring ML models also adds additional complexity beyond what is usually done for traditional applications. This talk will cover these problems and best practices for solving them, with special focus on how it's done on the Databricks platform.
This document discusses the integration of IoT and cloud computing. It provides overviews of cloud computing, including characteristics, stakeholders, and service delivery models. It discusses the motivation for integrating IoT and cloud, including leveraging cloud benefits and addressing conflicting properties. Integration models are described including adapting cloud models (IaaS, PaaS, SaaS) to IoT. Challenges of integration like data quality and lack of interoperability are covered along with solutions like abstraction layers and adapting existing cloud models. Edge/fog computing is introduced as an approach to address limitations of full cloud integration. Popular public IoT cloud platforms and their architectures are analyzed.
Exploring microservices in a Microsoft landscapeAlex Thissen
Presentation for Dutch Microsoft TechDays 2015 with Marcel de Vries:
During this session we will take a look at how to realize a Microservices architecture (MSA) using the latest Microsoft technologies available. We will discuss some fundamental theories behind MSA and show you how this can actually be realized with Microsoft technologies such as Azure Service Fabric. This session is a real must-see for any developer that wants to stay ahead of the curve in modern architectures.
This is a small introduction to microservices. you can find the differences between microservices and monolithic applications. You will find the pros and cons of microservices. you will also find the challenges (Business/ technical) that you may face while implementing microservices.
Distributed Systems Introduction and Importance SHIKHA GAUTAM
Distributed Systems Introduction and Importance. It covers the following Topics: Characterization of Distributed Systems: Introduction, Examples of distributed Systems, Resource sharing and the Web Challenges. Architectural models, Fundamental Models.
Theoretical Foundation for Distributed System: Limitation of Distributed system, absence of global clock, shared memory, Logical clocks ,Lamport’s & vectors logical clocks.
Concepts in Message Passing System.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services available over the internet. It has three main types of service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). IaaS provides basic storage, networking and computing resources, PaaS provides development tools and environments for building applications, and SaaS provides users access to applications over the internet. The document discusses these service models and their examples in more detail.
Presentation created for Third and Final Year students of , The Department of Information Technology, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune. Collage has invited myself for a training program on “Recent Trends in Information Technology”. I presented on topic of "Serverless Microservices". It is Level-100 Session.
Best Practices for Streaming IoT Data with MQTT and Apache KafkaKai Wähner
Organizations today are looking to stream IoT data to Apache Kafka. However, connecting tens of thousands or even millions of devices over unreliable networks can create some architecture challenges. In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.
We use HiveMQ as open source MQTT broker to ingest data from IoT devices, ingest the data in real time into an Apache Kafka cluster for preprocessing (using Kafka Streams / KSQL), and model training + inference (using TensorFlow 2.0 and its TensorFlow I/O Kafka plugin).
We leverage additional enterprise components from HiveMQ and Confluent to allow easy operations, scalability and monitoring.
Viele Autos, noch mehr Daten: IoT-Daten-Streaming mit MQTT & Kafka (Kai Waehn...confluent
This document discusses best practices for streaming IoT data with MQTT and Apache Kafka. It begins with an overview of a use case involving a global automotive company building a connected car infrastructure. An architecture is presented showing how sensor data from cars can be ingested via MQTT into Apache Kafka and then processed using tools like Kafka Streams, TensorFlow, and ElasticSearch for analytics and alerts. A live demo is described that implements this full pipeline. The document concludes with a discussion of best practices around choosing the right tools, separation of concerns, data types, and next steps.
A Collaborative Data Science Development WorkflowDatabricks
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Best Practices for Streaming IoT Data with MQTT and Apache Kafka®confluent
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Software Architecture and Architectors: useless VS valuableComsysto Reply GmbH
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Similar to The Internet of Simulations and the agile development of Cyber-physical systems (20)
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Simware platform is based on a microservices architecture, named Layered Simulation Architecture or LSA. LSA is the first microservices architecture for simulation, specifically designed to support the development of real time and Net-Centric simulation products.
Simware is the only simulation platform in the market compliant with the new Internet of Simulations, enabling the development of all kind of modeling & simulation applications in any industry domain.
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SOLVING LVC INTEROPERABILITY PROBLEMS WITH SIMWARESimware
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Nads & presagis teaming to innovate in distributed simulation xxSimware
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Know about the agreement between NADS and PRESAGIS and how this companies complement in tools and technologies.
You can see also the webinar made on april 17th about this presentation
http://youtu.be/WPAJ1_UfP9E
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How to Develop True Distributed Real Time Simulations? Mixing IEEE HLA and OM...Simware
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Developing Simulation & Training Solutions With CotsSimware
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
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With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
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Power Grid Model
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Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
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Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
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3. How data quality and governance form the backbone of AI.
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Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Operating System Used by Users in day-to-day life.pptx
The Internet of Simulations and the agile development of Cyber-physical systems
1. The Internet of Simulation:
Enabling Agile Model Based
Systems Engineering for Cyber-
Physical Systems
Stephen Clement, David McKee, Richard Romano, Jie Xu University of Leeds
Jose-Maria Lopez-Rodriguez Simware Solutions
David Battersby Jaguar Land Rover
2. Motivation
• Large-scale complex cyber-physical systems
• 20+ billion IoT devices by 2020
• 300 ExaBytes of data
• Increased usage of simulation and virtual engineering
• Geographically distributed working with multiple
stakeholders
• Increasing requirements for rapid prototyping
• Increased computing requirement for individual
simulations
• Growing need for integration and co-simulation to explore
system behaviours
• Digital twins
Raghu Ramakrishnan, CTO for Data
“…if we can concentrate and build platforms that will lift the
level of abstraction …you could instead focus on
understanding whatever your domain is, …[if] the tools for
making sense of your data …were that much more accessible
…the total cost of ownership would plunge…that's [a] form of
[Cloud] amortization. …the tools need to come closer and
closer to how you think about your world...”
“The way to build a complex system that
works is to build it from very simple systems
that work.”
Kevin Kelly, Founding Executive Editor
Wired Magazine
3. Internet of Simulation
• Amortize large-scale simulation and improve co-
simulation
• Net-Centric simulation platform
• Powered by the cloud based SOA
• Open APIs to connect simulations, people, processes
and things together
• Adherence to standards to guarantee connectivity with
third-party systems
• Simulation as a Service (SIMaaS)
• Provides self-contained readily integrated simulations
• Hosted as cloud services or on connected devices
• Workflow as a Service (WFaaS)
• Connect simulations together to define complete
systems
M&S
4. SIMaaS: Simulation as a Service
• Simulation tools and models are wrapped
as services and hosted in the Cloud
• Execution, timing and QoS management
provided by interfaces and underlying
infrastructure
• Provides interface for any type of
simulation on demand
• “Virtual Things”
• Uses :
• Virtual Engineering
• V&V mixing real and virtual
• Model of reality or decision support
5. WFaaS: Workflow as a Service
• Combine simulations together by defining interactions and shared data
• Hierarchical viewpoint allowing reuse of existing workflows
• Provide automated simulation integration via analysis of supplied simulation
interfaces and interactions
• Combine simulations with data stores and real-world devices
• Managed execution of co-simulation:
• Scheduling & distributing simulations
• Migration of live simulations
• Management of QoS
A B
EA1 D
Sub-Workflow
6. Extending IoS to IoT
• Cyber-physical system of systems with virtual components
• Virtual design and integration testing
• Iterative hardware and software tests
• Digital twin, through life-cycle development of cyber-physical systems
7. Standards: Communication
• Data Distribution Service (DDS)
• OMG standard for communication
• Publish-Subscribe model
• Inherent QoS
• Web-Services (WS-*)
• Collection of supporting standards already widely used in Cloud
• Asynchronous Message Queues
• Kafka, Rabbit MQ, ØMQ
• Common in Software as a Service (SaaS) applications
• Supports web standards and protocols
8. Standards: Composition and Orchestration
• Process Workflows
• Multiple languages for specification: YAWL, BPMN, BPEL
• Defines the flow of execution between services
• Many patterns defined by Russell et al. (www.workflowpatterns.com)
• Simulation Workflows
• Data-flow common in languages such as Simulink and Labview
• Inherently parallel, co-simulation is required across workflow
• Control time steps and synchronisation of workflow
• Mapping between system design and simulations
• Simulation interactions imply system interactions
9. Standards: Integration
• Functional Mockup Interface (FMI)
• Functional Mockup Units (FMU) as C code packaged with required libraries
• Not distributed, single shared memory environment
• tool support does not imply full co-simulation. Standards testing only between 2
simulation.
• High Level Architecture (HLA)
• IEEE 1516-2010 (HLA Evolved) distributed M&S standard
• Limited tool support & large barrier to entry
• Critical runtime infrastructure only specified as abstract interface
Standards define communication, data transfer and synchronisation methods.
No modelling framework for widespread simulation integration
10. Simulation Integration
• Complex systems require multi-disciplinary
simulation
• Heterogeneous development and execution
environments
• Integration environments
• Simulink, SimWorkbench, Modellica, Simware
• Social Problems:
• Lack of documentation
• Lack of centralised repositories
• Is my model up to date?
• Tool availability?
1. Collect suitable models and documentation
2. Check compatibility of models
• Signals
• Representations, Internal constants
• Time steps
3. Connect models
• Connect signals
• Transformation functions
4. Validation and Verification
• Existing test data
• Engineer intuition
• Correctness of representation
Integration Process
11. Technical Integration Problems
• Differing time steps: requires extrapolation, can result in instantaneous changes
• Incompatible constants: causes undefined behaviours, not always immediately recognised
• Incompatible signals or representations: Require transformation functions
• Lack of API: not easily integrated
• Validation and Verification: does the integrated model make sense?
• Co-simulation boundaries: especially a problem for physical simulations.
Model fidelity
Data sharing
infrastructure
Incompatible
interfaces
Data types
Timing
requirements
Model
complexity
Tool
incompatibility
Engineering Time
CoSimulation
Infrastructure
Model A
Model B
Independent
Development
Integration
Incompatible Requirements
Emergent Properties
Negotiation
12. Agile Systems Engineering using IoS
• Given:
• Rapid and reliable integration of simulations
• Mapping between system design (architecture and interactions) and simulations
• Variable fidelity of simulation
• Ready connection to physical and virtual components
• Allows:
• Rapid design iteration
• Easy sharing of design state among engineers
• Prototype at all stages of development mixing between maturity levels
• 3rd party suppliers providing prospective models.
• Traverse abstraction layers
13. Case Studies: Automotive Industry 4.0
Rapid
Prototyping
3rd Party Sims
Integrate external
Systems
Integrate with
local government
models and
systems
Digital twin
factory and
supply lines
Design offices readily
share models and iterate
on current designs
Multiple update
rates and time
steps
OEM models
Data from
other vehicles
14. Case Studies: Driving Sim
Throttle
Brake
Engine
Vehicle
Dynamics
TCU
Transmission
Micro-Service
Service
Leeds Driving Simulator
15. Case Studies: Server Heat
• Simulated data-center workload
• CPU execution and power draw
• Thermodynamic model of heatsink
• Fan modelling power and air flow
16. Case Studies: CITIUS
Research new technologies to command, control and interoperate autonomous vehicles in
military operations
17. Conclusion
• Growing need for integration of simulation
• We already do this, lets do it better!
• Internet of Simulation, a possible solution but:
• Need increased support from standards and vendors
• Design simulations with reuse in mind
• Agile Systems Engineering
• Example case studies
18. To know further…
University of Leeds - http://institutes.engineering.leeds.ac.uk/computing/research/distsys/
Simware Solutions - http://www.simware.es/internet-of-simulations.html
Jaguar Land Rover - http://www.jaguarlandrover.com/2016/technology-lab