Extending The Power Of Anypoint Platform Using Anypoint Service MeshAaronLieberman5
Most enterprises today use Microservices. Microservices are often built using different languages and deployment models, which can result in complex runtime environments that can be costly and difficult to operate.
A service mesh is typically used to abstract governance considerations behind microservices, regardless of the technology used to create the microservices. Within the last year, MuleSoft has released Anypoint Service Mesh, which enables your business to extend your application network to include your MuleSoft applications, your non-MuleSoft applications, and now your microservices, all seamlessly managed from one common Anypoint Platform control plane.
In this meetup, you will learn:
-What is a service mesh, and when do you need one
-How a service mesh relates to API Management
-How Anypoint Service Mesh can help extend your application network to any service
-Demo with Anypoint Service Mesh managed microservices that are deployed to a publicly available Kubernetes cluster
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...WSO2
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
The document discusses various software architecture patterns and principles, comparing monolithic and microservices architectures. It covers topics like layers, domain-driven design, code-first versus database-first approaches, and considerations for data management in multi-tenant systems. The key aspects of architectures like microservices and domain-driven design are explained at a high level.
The document describes an upcoming event being organized by the Kochi MuleSoft Meetup Group on March 4th, 2021. The event will include two sessions - the first on the Evolution of Integration, and the second on Event Driven Architecture. Details are provided about the organizers and speakers for the event. The Event Driven Architecture session will cover topics such as the need for EDA, real-time APIs, tools available in MuleSoft for building EDA solutions, basic and advanced EDA implementations using MuleSoft and Solace event broker, and an EDA reference architecture.
MuleSoft Surat Virtual Meetup#15 - Caching Scope, Caching Strategy and Jenkin...Jitendra Bafna
This document summarizes a MuleSoft Meetup event that took place in Surat, India on April 25th, 2021. It introduces the organizers and speaker of the event, and outlines the agenda which included discussions on caching strategies in Mule, Jenkins multibranch pipelines, and a trivia quiz. The event encouraged participants to network, provide feedback, and suggest topics for future meetups.
Kubernetes is Not Your Platform, It's Just the Foundation @ UK Cloud Infrastr...Manuel Pais
Kubernetes helps us tame sprawling microservices architectures and address increased operational complexity. Kubernetes gives developers abstractions and APIs to deploy and run their services.
But there is a price to pay in terms of both the in-house operational expertise required and the learning curve for application teams. The elephant in the room is that to run, maintain and evolve Kubernetes, we likely need a dedicated Kubernetes team.
Is the tradeoff between better operational tools and introducing a new dependency layer on the path to production for application teams worthwhile? Are we making life easier for application teams or instead reducing their end-to-end ownership?
Regardless of all the technical benefits that Kubernetes undoubtedly brings, team interactions are still key for successfully delivering and running services. We will look at a couple of organizations that have succeeded by focusing on reducing the cognitive load for application teams.
Unfortunately, many organizations see Kubernetes as “the” platform, rather than just a technical foundation for a true internal platform. In the worst case, they mandate all teams to adopt Kubernetes, regardless of both the application teams’ and the platform’s maturity levels.
Successful Kubernetes adoption requires thinking about what a platform really means and learning which team structures and interactions work well. And evolve them over time.
Cloud native technologies, like containers and Kubernetes, enable enterprise agility at scale and without compromises. Learn how enterprises can warp speed their DevOps initiatives by embracing cloud native technologies, measuring DevOps success, and utilizing modern enterprise Kubernetes platforms like Nirmata!
Extending The Power Of Anypoint Platform Using Anypoint Service MeshAaronLieberman5
Most enterprises today use Microservices. Microservices are often built using different languages and deployment models, which can result in complex runtime environments that can be costly and difficult to operate.
A service mesh is typically used to abstract governance considerations behind microservices, regardless of the technology used to create the microservices. Within the last year, MuleSoft has released Anypoint Service Mesh, which enables your business to extend your application network to include your MuleSoft applications, your non-MuleSoft applications, and now your microservices, all seamlessly managed from one common Anypoint Platform control plane.
In this meetup, you will learn:
-What is a service mesh, and when do you need one
-How a service mesh relates to API Management
-How Anypoint Service Mesh can help extend your application network to any service
-Demo with Anypoint Service Mesh managed microservices that are deployed to a publicly available Kubernetes cluster
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...WSO2
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
The document discusses various software architecture patterns and principles, comparing monolithic and microservices architectures. It covers topics like layers, domain-driven design, code-first versus database-first approaches, and considerations for data management in multi-tenant systems. The key aspects of architectures like microservices and domain-driven design are explained at a high level.
The document describes an upcoming event being organized by the Kochi MuleSoft Meetup Group on March 4th, 2021. The event will include two sessions - the first on the Evolution of Integration, and the second on Event Driven Architecture. Details are provided about the organizers and speakers for the event. The Event Driven Architecture session will cover topics such as the need for EDA, real-time APIs, tools available in MuleSoft for building EDA solutions, basic and advanced EDA implementations using MuleSoft and Solace event broker, and an EDA reference architecture.
MuleSoft Surat Virtual Meetup#15 - Caching Scope, Caching Strategy and Jenkin...Jitendra Bafna
This document summarizes a MuleSoft Meetup event that took place in Surat, India on April 25th, 2021. It introduces the organizers and speaker of the event, and outlines the agenda which included discussions on caching strategies in Mule, Jenkins multibranch pipelines, and a trivia quiz. The event encouraged participants to network, provide feedback, and suggest topics for future meetups.
Kubernetes is Not Your Platform, It's Just the Foundation @ UK Cloud Infrastr...Manuel Pais
Kubernetes helps us tame sprawling microservices architectures and address increased operational complexity. Kubernetes gives developers abstractions and APIs to deploy and run their services.
But there is a price to pay in terms of both the in-house operational expertise required and the learning curve for application teams. The elephant in the room is that to run, maintain and evolve Kubernetes, we likely need a dedicated Kubernetes team.
Is the tradeoff between better operational tools and introducing a new dependency layer on the path to production for application teams worthwhile? Are we making life easier for application teams or instead reducing their end-to-end ownership?
Regardless of all the technical benefits that Kubernetes undoubtedly brings, team interactions are still key for successfully delivering and running services. We will look at a couple of organizations that have succeeded by focusing on reducing the cognitive load for application teams.
Unfortunately, many organizations see Kubernetes as “the” platform, rather than just a technical foundation for a true internal platform. In the worst case, they mandate all teams to adopt Kubernetes, regardless of both the application teams’ and the platform’s maturity levels.
Successful Kubernetes adoption requires thinking about what a platform really means and learning which team structures and interactions work well. And evolve them over time.
Cloud native technologies, like containers and Kubernetes, enable enterprise agility at scale and without compromises. Learn how enterprises can warp speed their DevOps initiatives by embracing cloud native technologies, measuring DevOps success, and utilizing modern enterprise Kubernetes platforms like Nirmata!
The document summarizes an IoT meetup hosted by the Adelaide MuleSoft Meetup Group. The agenda included introductions, a discussion on building vs running integration microservices, a Kahoot quiz on IoT, and a demonstration of an IoT use case using Raspberry Pi and Arduino boards. The use case involved connecting sensors to detect temperature and other factors, integrating the data using APIs, and triggering processes in various systems for maintenance and safety in an energy company setting. The meetup concluded with notices on sharing information and providing feedback.
MuleSoft Manchester Meetup #4 slides 11th February 2021Ieva Navickaite
The document summarizes a MuleSoft meetup that took place on February 11, 2021. It included presentations from Bobby James of The Co-operative Bank, Francis Edwards of Saint-Gobain Building Distribution, and Justin Saliba of EPAM (Ricston). Bobby James' presentation was titled "I Hate Layers" and discussed application architecture and API-led design. Francis Edwards' presentation demonstrated evolving an application using API-led design principles. Justin Saliba's presentation provided an overview of a typical day in Air Malta's IT operations team and how they have adopted API-led practices.
A Guide on What Are Microservices: Pros, Cons, Use Cases, and MoreSimform
IT organizations can be benefitted from a microservices approach to application development with more agile and accelerated time to market. However, there is a catch in order to break an app into fine-grained services.
Comparison of Current Service Mesh ArchitecturesMirantis
Learn the differences between Envoy, Istio, Conduit, Linkerd and other service meshes and their components. Watch the recording including demo at: https://info.mirantis.com/service-mesh-webinar
Automating Applications with Habitat - Sydney Cloud Native MeetupMatt Ray
Habitat is an open source tool for automating the build, deployment, and management of applications. It defines a standard lifecycle for applications that includes building, deploying, running, and managing applications and their dependencies. Habitat packages applications and dependencies together, and uses supervisors to manage applications in production. It aims to simplify and standardize the delivery of developer services by automating common tasks like configuration, service discovery, and clustering across different runtime environments.
Vikash Pandey delivered a session on "Microservices – Explored" at ATAGTR2020
ATAGTR2020 was the 5th Edition of Global Testing Retreat.
Vikash is an empathetic leader working with people & technology in the area Product Development, Consulting, Support and Operations for 20+ years
The video recording of the session is now available on the following link: https://youtu.be/dF5wx4w66s8
To know more about #ATAGTR2020, please visit: https://gtr.agiletestingalliance.org/
Introduction to Application Development
Monolithic Architecture
Problems With Monolithic
Microservices as an Alternative
Pros and Cons of Microservice Architecture
Scaling Your Application
Future of Serverless / Cloud Computing
Infrastructure As A Code
Building Cloud-Native App Series - Part 5 of 11
Microservices Architecture Series
Microservices Architecture,
Monolith Migration Patterns
- Strangler Fig
- Change Data Capture
- Split Table
Infrastructure Design Patterns
- API Gateway
- Service Discovery
- Load Balancer
Scenarios in Which Kubernetes is Used for Container Orchestration of a Web Ap...Sun Technologies
Kubernetes is commonly used for container orchestration of web applications in various scenarios where scalability, reliability, and efficient management of containerized workloads are required. Here are some scenarios where Kubernetes is used for container orchestration of web applications:
This document summarizes a MuleSoft event focused on APIs, connectors, and products. It includes an agenda covering MuleSoft's product roadmap, how APIs can enable digital transformation, the value of connector development, and a question and answer session. Speakers then discussed MuleSoft's Anypoint Runtime Fabric for deploying APIs across environments, Anypoint Monitoring for observability of API-led integrations, and MuleSoft's new Catalyst program to help partners drive customer success through outcomes-based support.
This document discusses microservices and their evolution from monolithic applications. It defines microservices as the smallest deployable units that can function independently. The document outlines the benefits of microservices like improved agility, scalability and fault tolerance compared to earlier architectures like SOA. It also discusses some challenges of microservices like integration testing and service discovery. The document recommends approaches like automation, DevOps practices and service meshes to overcome microservices challenges. It advises that microservices are suitable when requirements involve frequent changes, time to market pressure or building cloud platforms.
For a long time APIs have largely been an exercise at the edge of complexity. They provide an engaging interface to attract developers, perhaps an underlying platform to monitor their consumption, and a means for those interested in whatever drives our backend to manage that success. That type interaction demands a certain type of interaction. But what happens in a backend world of microservices? Do we really have the same API needs and flexibility concerns at the mesh that we do at the edge and how might we best address these two worlds going forward? I will present the case for edge, the case for the mesh and try to bridge whatever space we have between them: chasm or ditch.
Knative is an open source software layer that helps cloud service providers and enterprise platform operators deliver a serverless experience to developers on any cloud. It’s a way to abstract the operational overhead of deploying and managing workloads that run on K8s and provides a consistent approach so that developers can focus on writing cool code.
The Reality of Managing Microservices in Your CD PipelineDevOps.com
As we shift from monolithic software development practices to microservices, our well-designed CD pipeline will need to change. Microservices are small functions, deployed independently and linked via APIs at run-time. While these differences seem minor, they actually have a large impact on your overall CD structure. Think hundreds of workflows, small of any builds and the loss of a monolithic 'application.'
Join Tracy Ragan, CEO of DeployHub and Brendan O'Leary, Developer Evangelist at GitLab, to learn more.
It's never too early to start the conversation.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
MuleSoft Surat Meetup#55 - Unleash the power of Anypoint MQJitendra Bafna
The document provides an overview of Anypoint MQ, MuleSoft's messaging service. It describes key Anypoint MQ capabilities like high availability, security, regions and payloads. It also discusses integration patterns supported like queues, exchanges, multicasting and reliability. The Anypoint MQ connector is explained along with acknowledgement modes. Questions are invited from attendees in the meetup.
MuleSoft Surat Meetup#54 - MuleSoft AutomationJitendra Bafna
This document provides an overview of MuleSoft Automation including:
- Different components like MuleSoft Composer, RPA, and Anypoint Platform that allow for automation of tasks across business apps and systems.
- Demos of use cases like patient admission automation using RPA and chatbots to improve efficiency.
- Benefits of automation like increasing productivity by replacing manual tasks with bots and flows.
- Resources mentioned for learning more about MuleSoft Composer and RPA.
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The document summarizes an IoT meetup hosted by the Adelaide MuleSoft Meetup Group. The agenda included introductions, a discussion on building vs running integration microservices, a Kahoot quiz on IoT, and a demonstration of an IoT use case using Raspberry Pi and Arduino boards. The use case involved connecting sensors to detect temperature and other factors, integrating the data using APIs, and triggering processes in various systems for maintenance and safety in an energy company setting. The meetup concluded with notices on sharing information and providing feedback.
MuleSoft Manchester Meetup #4 slides 11th February 2021Ieva Navickaite
The document summarizes a MuleSoft meetup that took place on February 11, 2021. It included presentations from Bobby James of The Co-operative Bank, Francis Edwards of Saint-Gobain Building Distribution, and Justin Saliba of EPAM (Ricston). Bobby James' presentation was titled "I Hate Layers" and discussed application architecture and API-led design. Francis Edwards' presentation demonstrated evolving an application using API-led design principles. Justin Saliba's presentation provided an overview of a typical day in Air Malta's IT operations team and how they have adopted API-led practices.
A Guide on What Are Microservices: Pros, Cons, Use Cases, and MoreSimform
IT organizations can be benefitted from a microservices approach to application development with more agile and accelerated time to market. However, there is a catch in order to break an app into fine-grained services.
Comparison of Current Service Mesh ArchitecturesMirantis
Learn the differences between Envoy, Istio, Conduit, Linkerd and other service meshes and their components. Watch the recording including demo at: https://info.mirantis.com/service-mesh-webinar
Automating Applications with Habitat - Sydney Cloud Native MeetupMatt Ray
Habitat is an open source tool for automating the build, deployment, and management of applications. It defines a standard lifecycle for applications that includes building, deploying, running, and managing applications and their dependencies. Habitat packages applications and dependencies together, and uses supervisors to manage applications in production. It aims to simplify and standardize the delivery of developer services by automating common tasks like configuration, service discovery, and clustering across different runtime environments.
Vikash Pandey delivered a session on "Microservices – Explored" at ATAGTR2020
ATAGTR2020 was the 5th Edition of Global Testing Retreat.
Vikash is an empathetic leader working with people & technology in the area Product Development, Consulting, Support and Operations for 20+ years
The video recording of the session is now available on the following link: https://youtu.be/dF5wx4w66s8
To know more about #ATAGTR2020, please visit: https://gtr.agiletestingalliance.org/
Introduction to Application Development
Monolithic Architecture
Problems With Monolithic
Microservices as an Alternative
Pros and Cons of Microservice Architecture
Scaling Your Application
Future of Serverless / Cloud Computing
Infrastructure As A Code
Building Cloud-Native App Series - Part 5 of 11
Microservices Architecture Series
Microservices Architecture,
Monolith Migration Patterns
- Strangler Fig
- Change Data Capture
- Split Table
Infrastructure Design Patterns
- API Gateway
- Service Discovery
- Load Balancer
Scenarios in Which Kubernetes is Used for Container Orchestration of a Web Ap...Sun Technologies
Kubernetes is commonly used for container orchestration of web applications in various scenarios where scalability, reliability, and efficient management of containerized workloads are required. Here are some scenarios where Kubernetes is used for container orchestration of web applications:
This document summarizes a MuleSoft event focused on APIs, connectors, and products. It includes an agenda covering MuleSoft's product roadmap, how APIs can enable digital transformation, the value of connector development, and a question and answer session. Speakers then discussed MuleSoft's Anypoint Runtime Fabric for deploying APIs across environments, Anypoint Monitoring for observability of API-led integrations, and MuleSoft's new Catalyst program to help partners drive customer success through outcomes-based support.
This document discusses microservices and their evolution from monolithic applications. It defines microservices as the smallest deployable units that can function independently. The document outlines the benefits of microservices like improved agility, scalability and fault tolerance compared to earlier architectures like SOA. It also discusses some challenges of microservices like integration testing and service discovery. The document recommends approaches like automation, DevOps practices and service meshes to overcome microservices challenges. It advises that microservices are suitable when requirements involve frequent changes, time to market pressure or building cloud platforms.
For a long time APIs have largely been an exercise at the edge of complexity. They provide an engaging interface to attract developers, perhaps an underlying platform to monitor their consumption, and a means for those interested in whatever drives our backend to manage that success. That type interaction demands a certain type of interaction. But what happens in a backend world of microservices? Do we really have the same API needs and flexibility concerns at the mesh that we do at the edge and how might we best address these two worlds going forward? I will present the case for edge, the case for the mesh and try to bridge whatever space we have between them: chasm or ditch.
Knative is an open source software layer that helps cloud service providers and enterprise platform operators deliver a serverless experience to developers on any cloud. It’s a way to abstract the operational overhead of deploying and managing workloads that run on K8s and provides a consistent approach so that developers can focus on writing cool code.
The Reality of Managing Microservices in Your CD PipelineDevOps.com
As we shift from monolithic software development practices to microservices, our well-designed CD pipeline will need to change. Microservices are small functions, deployed independently and linked via APIs at run-time. While these differences seem minor, they actually have a large impact on your overall CD structure. Think hundreds of workflows, small of any builds and the loss of a monolithic 'application.'
Join Tracy Ragan, CEO of DeployHub and Brendan O'Leary, Developer Evangelist at GitLab, to learn more.
It's never too early to start the conversation.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
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The document provides an overview of Anypoint MQ, MuleSoft's messaging service. It describes key Anypoint MQ capabilities like high availability, security, regions and payloads. It also discusses integration patterns supported like queues, exchanges, multicasting and reliability. The Anypoint MQ connector is explained along with acknowledgement modes. Questions are invited from attendees in the meetup.
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This document provides an overview of MuleSoft Automation including:
- Different components like MuleSoft Composer, RPA, and Anypoint Platform that allow for automation of tasks across business apps and systems.
- Demos of use cases like patient admission automation using RPA and chatbots to improve efficiency.
- Benefits of automation like increasing productivity by replacing manual tasks with bots and flows.
- Resources mentioned for learning more about MuleSoft Composer and RPA.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
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.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
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.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
2. Safe Harbour Statement
● Both the speaker and the host are organizing this meet-up in individual capacity only. We are
not representing our companies here.
● This presentation is strictly for learning purposes only. Organizer/Presenter do not hold any
responsibility that same solution will work for your business requirements.
● This presentation is not meant for any promotional activities.
2
3. A recording of this meetup will be uploaded to events page within 24 hours.
Questions can be submitted/asked at any time in the Chat/Questions & AnswersTab.
Make it more Interactive!!!
Give us feedback! Rate this meetup session by filling feedback form at the end of theday.
We Love Feedbacks!!! Its Bread & Butter for Meetup.
Housekeeping
3
6. 6
1. Microservices
2. Challenges with Microservices
3. How can Service Mesh help?
4. API management and its role.
5. Building app network on Anypoint platform
6. Extending the app network using service Mesh
Agenda
9. 9
• Secure inter-service communications
• Fault Tolerance and Traffic Control
• Monitoring and Management.
Challenges
10. 10
• To solve these challenges, many organizations are forced to Custom code
governance considerations behind microservices into the service code itself.
This complexity can stifle innovation and agility, negating the promise of
microservices.
Solving for Challenges
12. 12
• A service mesh is a
configurable, low-latency
infrastructure layer designed
to handle a high volume of
network-based interprocess
communication among
application infrastructure
services using application
programming interfaces
(APIs).
13. 13
Drawing out common capabilities of security,
fault tolerance, and management out of
the service code.
How Service Mesh helps Mitigate Challenges
15. 15
• API gateways protecting north-south traffic out of the Kubernetes cluster.
• API security applied on the gateway to identify malicious clients and
payloads.
• Developer portals to make services reusable to accelerate future projects
What role does API management play?
17. 17
With Anypoint Platform, you can empower your business to:
• Connect any system, app, or data source using prebuilt connectors,
templates and drag-and-drop tools to integrate anything.
• Securely unlock your data, wherever it resides, with APIs, and enable teams
to self-serve at scale through a central marketplace.
Application Network with Anypoint Platform
19. 19
• Discover and leverage any service in any architecture.
– Visualize microservice dependencies using the application network graph.
– Empower innovation teams to build with technologies that best align to their skillsets.
– Maximize adoption and reuse by adding microservices to Anypoint Exchange.
• Centrally manage and scale
– Ensure resiliency across services with Istio traffic control policies.
– Measure and optimize performance across all microservices with API analytics.
– Integrate with existing continuous delivery or CI/CD pipelines.
• Enable security by default
– Ensure zero-trust with Istio and Envoy authentication and authorization policies.
– Add additional layers of security for consumer facing services.
Benefits
20. 20
• Microservices are important.
• Microservices alone are not enough for Security, Governance.
• Service Mesh can solve many security and governance issues.
• When you combine microservices with service mesh using a API
Management tool, it is possible to centrally manage and scale microservices.
Summary
23. Kubernetes
• Kubernetes is a portable, extensible, open-source platform for
managing containerized workloads and services, that facilitates
both declarative configuration and automation.
• When you deploy Kubernetes, you will get a Kubernetes Cluster.
• A Kubernetes cluster consists of a set of worker machines,
called nodes, that run containerized applications. Every cluster
has at least one worker node.
• The worker node(s) host the Pods that are the components of the
application workload.
• A Pod (as in a pod of whales or pea pod) is a group of one or
more containers, with shared storage and network resources, and
a specification for how to run the containers.
23
25. MiniKube
25
• Minikube is local Kubernetes, focusing on making it easy to learn and develop for
Kubernetes.
• All you need is Docker (or similarly compatible) container or a Virtual Machine environment,
and Kubernetes is a single command away: minikube start
• What you’ll need
– 2 CPUs or more
– 2GB of free memory
– 20GB of free disk space
– Internet connection
– Container or virtual machine manager, such as: Docker, Hyperkit, Hyper-V, KVM, Parallels,
Podman, VirtualBox, or VMware Fusion/Workstation
27. Istio
27
• Istio is an open-source service mesh that layers transparently onto existing distributed
applications.
• Istio's control plane provides an abstraction layer over the underlying cluster management
platform, such as Kubernetes
• Istio’s control plane runs on Kubernetes, and you can add applications deployed in that cluster
to your mesh, extend the mesh to other clusters, or even connect VMs or other endpoints
running outside of Kubernetes.
• Istio has two components:
– Data plane: is the communication between services. Without a service mesh, the network doesn’t
understand the traffic being sent over, and can’t make any decisions based on what type of traffic it is,
or who it is from or to
– Control plane: takes your desired configuration, and its view of the services, and dynamically
programs the proxy servers, updating them as the rules or the environment changes
29. Take a stand !
18
●Nominate yourself for the next meetup speaker and suggest a topic as well.
30. 20
● Share:
○ Tweet using the hashtag #MuleSoftMeetups
○ Invite your network to join: https://meetups.mulesoft.com/engineering-student-
group/
● Feedback:
○ Fill out the survey feedback and suggest topics for upcoming events
○ Contact MuleSoft at meetups@mulesoft.com for ways to improve the program
What’s next?
31. 20
● 30th June 2022 - Implementing and Understanding SAGA (Orchestration and
Choreography) Patterns With MuleSoft
● 9th July 2022 - Driving Digital Transformation in Banking Industries With
MuleSoft
Upcoming Meetups