The document discusses the Enterprise Service Bus (ESB) Mule and its core concepts. Mule is an open-source ESB that uses advanced technologies like Staged Event-Driven Architecture (SEDA) and Java New Input/Output (NIO) to route messages between applications. It decomposes applications into stages connected by queues to improve performance. Mule's universal message object (UMO) allows messages to be received and sent from anywhere. Core concepts include endpoints, transports, connectors, routers, filters and transformers that define how messages flow through the system.
This document discusses microservices and provides an overview of related concepts. It begins with definitions of microservices and comparisons to monolithic applications. Key features of microservices like independent processes communicating over HTTP are outlined. The document then covers reasons for using HTTP, REST, and JSON in microservice architectures. An example online shopping application is used to illustrate how it could be decomposed into microservices. Challenges of monolithic applications are contrasted with advantages of the microservice approach. The document concludes with a summary of Spring Cloud which provides tools to help implement microservices patterns.
Stop reinventing the wheel with Istio by Mete Atamel (Google)Codemotion
#Codemotion Rome 2018 - Containers provide a consistent environment to run services. Kubernetes help us to manage and scale our container cluster. Good start for a loosely coupled microservices architecture but not enough. How do you control the flow of traffic & enforce policies between services? How do you visualize service dependencies & identify issues? How can you provide verifiable service identities, test for failures? You can implement your own custom solutions or you can rely on Istio, an open platform to connect, manage and secure microservices.
Microservice architecture By Touraj Ebrahimi.
comparison between monolithic, SOA and microservices architecture.
microservices implementation base on spring cloud and netflix oss.
why we should migrate from a monolithic application to a microservice architecture.
Senior Java Developer and Java Architect.
github: toraj58
bitbucket: toraj58
twitter: @toraj58
youtube channel: https://www.youtube.com/channel/UCcLcw6sTk_8G6EgfBr0E5uA
Connecting All Abstractions with IstioVMware Tanzu
SpringOne Platform 2017
Ramiro Salas, Pivotal
The concept of a service mesh represents a paradigm shift on application connectivity for distributed systems, with wide implications for analytics, policy and extensibility. In this talk, we will explain what a service mesh is, the power it brings to microservices, and its impact on Cloud Foundry and K8s, both separately and together. We will also discuss the implications for the traditional network infrastructure, and the shifting of responsibilities from L3/4 to L7, and our current thinking of using Istio to integrate all abstractions.
This document discusses microservices and building REST services with Spring. It begins by defining microservices as an approach to developing applications as suites of small, independent services. It then covers microservice benefits like autonomy, scalability and innovation, as well as challenges like network latency and increased complexity. Structural principles for microservices like resilience, security and elastic scaling are outlined. Common microservices patterns and anti-patterns are also discussed. The document concludes by demonstrating how to build a basic REST service with Spring.
Microservices with Spring Cloud and Netflix OSSDenis Danov
The presentation will introduce the audience to microservice architecture and how it is different from a monolithic one. It will focus on the different components that are necessary for a microservice architecture such as discovery service, configuration service, api gateway and others. For each one of the components will be highlighted why they are important for this type of architecture and how to implement them with Spring Boot and Netflix stack.
MuleSoft provides integration software that allows applications and data sources to connect. Its Anypoint Platform includes products like Anypoint technology, CloudHub, and connectors. Mule ESB is a lightweight Java-based messaging framework that uses a service-oriented architecture to enable easy integration between existing systems regardless of their technologies. It has advantages like reusable components and supporting multiple message formats. Mule can integrate applications like SAP, Salesforce, Oracle, and SQL Server.
This document provides an overview of microservice architecture compared to monolithic architecture, and compares the microservice frameworks Dropwizard and Spring Boot. It defines microservice architecture as decomposing applications into independent components that communicate via lightweight mechanisms like HTTP. The document outlines pros and cons of the microservice approach and discusses how Dropwizard and Spring Boot both provide tools for developing microservices but differ in their dependencies and supported services.
This document discusses microservices and provides an overview of related concepts. It begins with definitions of microservices and comparisons to monolithic applications. Key features of microservices like independent processes communicating over HTTP are outlined. The document then covers reasons for using HTTP, REST, and JSON in microservice architectures. An example online shopping application is used to illustrate how it could be decomposed into microservices. Challenges of monolithic applications are contrasted with advantages of the microservice approach. The document concludes with a summary of Spring Cloud which provides tools to help implement microservices patterns.
Stop reinventing the wheel with Istio by Mete Atamel (Google)Codemotion
#Codemotion Rome 2018 - Containers provide a consistent environment to run services. Kubernetes help us to manage and scale our container cluster. Good start for a loosely coupled microservices architecture but not enough. How do you control the flow of traffic & enforce policies between services? How do you visualize service dependencies & identify issues? How can you provide verifiable service identities, test for failures? You can implement your own custom solutions or you can rely on Istio, an open platform to connect, manage and secure microservices.
Microservice architecture By Touraj Ebrahimi.
comparison between monolithic, SOA and microservices architecture.
microservices implementation base on spring cloud and netflix oss.
why we should migrate from a monolithic application to a microservice architecture.
Senior Java Developer and Java Architect.
github: toraj58
bitbucket: toraj58
twitter: @toraj58
youtube channel: https://www.youtube.com/channel/UCcLcw6sTk_8G6EgfBr0E5uA
Connecting All Abstractions with IstioVMware Tanzu
SpringOne Platform 2017
Ramiro Salas, Pivotal
The concept of a service mesh represents a paradigm shift on application connectivity for distributed systems, with wide implications for analytics, policy and extensibility. In this talk, we will explain what a service mesh is, the power it brings to microservices, and its impact on Cloud Foundry and K8s, both separately and together. We will also discuss the implications for the traditional network infrastructure, and the shifting of responsibilities from L3/4 to L7, and our current thinking of using Istio to integrate all abstractions.
This document discusses microservices and building REST services with Spring. It begins by defining microservices as an approach to developing applications as suites of small, independent services. It then covers microservice benefits like autonomy, scalability and innovation, as well as challenges like network latency and increased complexity. Structural principles for microservices like resilience, security and elastic scaling are outlined. Common microservices patterns and anti-patterns are also discussed. The document concludes by demonstrating how to build a basic REST service with Spring.
Microservices with Spring Cloud and Netflix OSSDenis Danov
The presentation will introduce the audience to microservice architecture and how it is different from a monolithic one. It will focus on the different components that are necessary for a microservice architecture such as discovery service, configuration service, api gateway and others. For each one of the components will be highlighted why they are important for this type of architecture and how to implement them with Spring Boot and Netflix stack.
MuleSoft provides integration software that allows applications and data sources to connect. Its Anypoint Platform includes products like Anypoint technology, CloudHub, and connectors. Mule ESB is a lightweight Java-based messaging framework that uses a service-oriented architecture to enable easy integration between existing systems regardless of their technologies. It has advantages like reusable components and supporting multiple message formats. Mule can integrate applications like SAP, Salesforce, Oracle, and SQL Server.
This document provides an overview of microservice architecture compared to monolithic architecture, and compares the microservice frameworks Dropwizard and Spring Boot. It defines microservice architecture as decomposing applications into independent components that communicate via lightweight mechanisms like HTTP. The document outlines pros and cons of the microservice approach and discusses how Dropwizard and Spring Boot both provide tools for developing microservices but differ in their dependencies and supported services.
Surat MuleSoft Meetup#2 - Anypoint Runtime FabricJitendra Bafna
This document provides an overview and agenda for a virtual meetup on MuleSoft Runtime Fabric and Azure DevOps. It includes:
- Details on the organizers and speakers for the event
- An agenda covering What is Anypoint Runtime Fabric?, its architecture and components, a demonstration of manual installation, deployment on AWS and Terraform, and logging, monitoring, scaling and security.
- Background on MuleSoft, including its history and products.
- Descriptions of what Runtime Fabric is, its benefits over other deployment options like standalone servers, and how it provides isolation, scaling and automation of Mule applications.
- A demonstration of the Runtime Fabric architecture and its components like controllers, workers and pods
Managing microservices with Istio Service MeshRafik HARABI
Developing and managing hundreds (or maybe thousands) of microservices at scale is a challenge for both development and operations teams.
We have seen over the last years the appearance of new frameworks dedicated to deliver ‘Cloud Native’ applications by providing a set of (out of box) building blocks. Most of these frameworks integrate microservices concerns at the code level.
Recently, we have seen the emerging of a new pattern known as sidecar or proxy promoting to push all these common concerns outside of the business code and provides them on the edge by integrate a new layer to the underlying platform called Service Mesh.
Istio is one of the leading Service Mesh implementing sidecar pattern.
We will go during the presentation throw the core concepts behind Istio, the capabilities that provides to manage, secure and observe microservices and how it gives a new breath for both developers and operations.
The presentation will be guided by a sequence of demo exposing Istio capabilities.
Istio is a service mesh—a modernized service networking layer that provides a transparent and language-independent way to flexibly and easily automate application network functions. Istio is designed to run in a variety of environments: on-premise, cloud-hosted, in Kubernetes containers.
This document outlines a presentation on service meshes and Istio. It discusses microservices architectures and the challenges of microservices, introduces service meshes as a solution to these challenges, and provides an overview of Istio's architecture and key capabilities. The presentation uses the Bookinfo sample application to demonstrate basic traffic routing and shifting with Istio. It also allows time for questions at the end.
Nodeconf Barcelona 2015 presentation exploring several ways of building microservices in an asynchronous way. Presented the concept of a broker as an alternative to a multiple point-to-point architecture.
Orchestration Patterns for Microservices with Messaging by RabbitMQVMware Tanzu
Companies looking to speed up their software development are adopting microservices architectures (MSA). Building applications as groups of smaller components with fewer dependencies helps companies such as Comcast, Capital One, Uber, and Netflix deliver more frequent releases and thus innovate faster.
An important consideration in adopting an MSA is deciding how individual services should communicate between each other. Adding a message queue such as RabbitMQ to handle interservice messages can improve communication by:
- Simplifying our services so they only need to know how to talk to the messenger service.
- Abstracting communication by having the messenger service handle sophisticated orchestration patterns.
- Scaling message throughput by increasing the cluster size of the messenger service.
In this webinar we'll discuss:
- Requirements for communicating between microservices
- Typical messaging patterns in microservice architectures
- Use cases where RabbitMQ shines
- How to use the RabbitMQ service for Pivotal Cloud Foundry to deploy and run your applications
We’ll also demonstrate how to deploy RabbitMQ in Pivotal Cloud Foundry, and how to incorporate it in microservices-based applications.
Presenters: Greg Chase, Pivotal and Dan Baskette, Pivotal
Microservices communication styles and event busTouraj Ebrahimi
Microservices Communication Styles and Event Bus By Touraj Ebrahimi.
Senior Java Developer and Java Architect.
github: toraj58
bitbucket: toraj58
twitter: @toraj58
youtube channel: https://www.youtube.com/channel/UCcLcw6sTk_8G6EgfBr0E5uA
Azure paa s v2 – microservices, microsoft (azure) service fabric, .apps and o...Tomasz Kopacz
How to build architecture based on microservices. What is Azure Service Fabric, and how this technology help us to build stateless and statefull services. How to start with actor-based programming. How to use also *.Apps and containers in microservices world. And of course – how to deal with many, many objects and components in our application.
Level: 300 (ok – 200, because I will explain basic concepts – but on the other hands those topic (especially around actors) are quite complicated)
From: http://net.developerdays.pl/
As more applications are being developed as a set of microservices, containers and platforms such as Kubernetes make many things much easier, but still leave untouched many operational issues such as traffic management and visibility, service authentication, security and policy. Istio, is a new service mesh that attempts to address many of these. We will discuss the architecture of Istio and the benefits it may offer to new microservice-based systems in a multicloud world.
-Microservices and Service Discovery history and evolution
-Service Registry & Service Discovery patterns
-Consul main concepts, architecture and use cases
In this webinar, we review the benefits of deploying a microservices architecture with Cassandra as your backbone in order to ensure your applications become incredibly reliable. We discuss in detail:
- How to create microservices in Node.js with ExpressJs and Seneca
- Tuning the Node.js driver for Cassandra: error handling, load balancing and degrees of parallelism
- Additional best practices to ensure your systems are highly performant and available
The sample service is available on GitHub: https://github.com/jorgebay/killr-service
The document discusses microservices and their advantages over monolithic applications. It defines microservices as small, independent components that are built, deployed, and scaled independently. The document outlines characteristics of microservices like being organized around business capabilities, infrastructure automation, and evolutionary design. It also discusses tools that can help build microservices architectures.
Mule is an open-source ESB that uses a staged event-driven architecture. It decomposes applications into stages connected by queues to improve performance. Mule also leverages Java NIO for efficient I/O operations using buffers, character encoding, regular expressions, and non-blocking channels. A Mule flow contains various components like endpoints, routers, transformers to receive, process and dispatch messages. Exception strategies define how errors are handled.
The document provides an introduction to Mule, an open-source enterprise service backbone. It describes key Mule concepts like staged event-driven architecture (SEDA) and Java NIO, and how Mule uses these concepts to provide a scalable and modular integration platform. It also summarizes core Mule components like endpoints, routers, transformers and how they facilitate message flow and integration. XML examples are provided to demonstrate basic Mule configuration and exception handling.
Surat MuleSoft Meetup#2 - Anypoint Runtime FabricJitendra Bafna
This document provides an overview and agenda for a virtual meetup on MuleSoft Runtime Fabric and Azure DevOps. It includes:
- Details on the organizers and speakers for the event
- An agenda covering What is Anypoint Runtime Fabric?, its architecture and components, a demonstration of manual installation, deployment on AWS and Terraform, and logging, monitoring, scaling and security.
- Background on MuleSoft, including its history and products.
- Descriptions of what Runtime Fabric is, its benefits over other deployment options like standalone servers, and how it provides isolation, scaling and automation of Mule applications.
- A demonstration of the Runtime Fabric architecture and its components like controllers, workers and pods
Managing microservices with Istio Service MeshRafik HARABI
Developing and managing hundreds (or maybe thousands) of microservices at scale is a challenge for both development and operations teams.
We have seen over the last years the appearance of new frameworks dedicated to deliver ‘Cloud Native’ applications by providing a set of (out of box) building blocks. Most of these frameworks integrate microservices concerns at the code level.
Recently, we have seen the emerging of a new pattern known as sidecar or proxy promoting to push all these common concerns outside of the business code and provides them on the edge by integrate a new layer to the underlying platform called Service Mesh.
Istio is one of the leading Service Mesh implementing sidecar pattern.
We will go during the presentation throw the core concepts behind Istio, the capabilities that provides to manage, secure and observe microservices and how it gives a new breath for both developers and operations.
The presentation will be guided by a sequence of demo exposing Istio capabilities.
Istio is a service mesh—a modernized service networking layer that provides a transparent and language-independent way to flexibly and easily automate application network functions. Istio is designed to run in a variety of environments: on-premise, cloud-hosted, in Kubernetes containers.
This document outlines a presentation on service meshes and Istio. It discusses microservices architectures and the challenges of microservices, introduces service meshes as a solution to these challenges, and provides an overview of Istio's architecture and key capabilities. The presentation uses the Bookinfo sample application to demonstrate basic traffic routing and shifting with Istio. It also allows time for questions at the end.
Nodeconf Barcelona 2015 presentation exploring several ways of building microservices in an asynchronous way. Presented the concept of a broker as an alternative to a multiple point-to-point architecture.
Orchestration Patterns for Microservices with Messaging by RabbitMQVMware Tanzu
Companies looking to speed up their software development are adopting microservices architectures (MSA). Building applications as groups of smaller components with fewer dependencies helps companies such as Comcast, Capital One, Uber, and Netflix deliver more frequent releases and thus innovate faster.
An important consideration in adopting an MSA is deciding how individual services should communicate between each other. Adding a message queue such as RabbitMQ to handle interservice messages can improve communication by:
- Simplifying our services so they only need to know how to talk to the messenger service.
- Abstracting communication by having the messenger service handle sophisticated orchestration patterns.
- Scaling message throughput by increasing the cluster size of the messenger service.
In this webinar we'll discuss:
- Requirements for communicating between microservices
- Typical messaging patterns in microservice architectures
- Use cases where RabbitMQ shines
- How to use the RabbitMQ service for Pivotal Cloud Foundry to deploy and run your applications
We’ll also demonstrate how to deploy RabbitMQ in Pivotal Cloud Foundry, and how to incorporate it in microservices-based applications.
Presenters: Greg Chase, Pivotal and Dan Baskette, Pivotal
Microservices communication styles and event busTouraj Ebrahimi
Microservices Communication Styles and Event Bus By Touraj Ebrahimi.
Senior Java Developer and Java Architect.
github: toraj58
bitbucket: toraj58
twitter: @toraj58
youtube channel: https://www.youtube.com/channel/UCcLcw6sTk_8G6EgfBr0E5uA
Azure paa s v2 – microservices, microsoft (azure) service fabric, .apps and o...Tomasz Kopacz
How to build architecture based on microservices. What is Azure Service Fabric, and how this technology help us to build stateless and statefull services. How to start with actor-based programming. How to use also *.Apps and containers in microservices world. And of course – how to deal with many, many objects and components in our application.
Level: 300 (ok – 200, because I will explain basic concepts – but on the other hands those topic (especially around actors) are quite complicated)
From: http://net.developerdays.pl/
As more applications are being developed as a set of microservices, containers and platforms such as Kubernetes make many things much easier, but still leave untouched many operational issues such as traffic management and visibility, service authentication, security and policy. Istio, is a new service mesh that attempts to address many of these. We will discuss the architecture of Istio and the benefits it may offer to new microservice-based systems in a multicloud world.
-Microservices and Service Discovery history and evolution
-Service Registry & Service Discovery patterns
-Consul main concepts, architecture and use cases
In this webinar, we review the benefits of deploying a microservices architecture with Cassandra as your backbone in order to ensure your applications become incredibly reliable. We discuss in detail:
- How to create microservices in Node.js with ExpressJs and Seneca
- Tuning the Node.js driver for Cassandra: error handling, load balancing and degrees of parallelism
- Additional best practices to ensure your systems are highly performant and available
The sample service is available on GitHub: https://github.com/jorgebay/killr-service
The document discusses microservices and their advantages over monolithic applications. It defines microservices as small, independent components that are built, deployed, and scaled independently. The document outlines characteristics of microservices like being organized around business capabilities, infrastructure automation, and evolutionary design. It also discusses tools that can help build microservices architectures.
Mule is an open-source ESB that uses a staged event-driven architecture. It decomposes applications into stages connected by queues to improve performance. Mule also leverages Java NIO for efficient I/O operations using buffers, character encoding, regular expressions, and non-blocking channels. A Mule flow contains various components like endpoints, routers, transformers to receive, process and dispatch messages. Exception strategies define how errors are handled.
The document provides an introduction to Mule, an open-source enterprise service backbone. It describes key Mule concepts like staged event-driven architecture (SEDA) and Java NIO, and how Mule uses these concepts to provide a scalable and modular integration platform. It also summarizes core Mule components like endpoints, routers, transformers and how they facilitate message flow and integration. XML examples are provided to demonstrate basic Mule configuration and exception handling.
Mule is an open-source ESB that uses a staged event-driven architecture and non-blocking I/O. It allows components to be connected through queues and employs dynamic control to manage load. Mule configurations are defined through XML files and involve endpoints, routers, transformers and other components to route events through the ESB. Exceptions can be handled through defined exception strategies that redirect invalid messages.
Mule is an open-source enterprise service bus (ESB) that allows for flexible movement of data between different endpoints and systems. It uses a staged event-driven architecture and non-blocking Java I/O to provide scalability. Core Mule concepts include universal message objects, endpoints, transports, connectors, routers, filters and transformers that allow data to be routed and transformed declaratively between systems and applications. Mule provides capabilities for XML validation, transformation and routing through its built-in components.
This document provides an introduction and overview of Mule, an open-source enterprise service bus (ESB). It discusses what Mule is, how it uses advanced technologies like staged event-driven architecture (SEDA) and Java NIO. The core concepts of Mule like the universal message object, endpoints, transports, connectors, routers, filters and transformers are explained. Examples are given of using Mule for file processing and XML pipelines. Exception handling in Mule is also covered.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
This document provides an introduction to Mule, an open-source enterprise service bus (ESB). It discusses what Mule is, how to use it, and some of its core concepts. Mule uses technologies like staged event-driven architecture (SEDA) and Java NIO to process events and messages asynchronously and efficiently. The document then explains Mule concepts like endpoints, transports, connectors, routers, filters, transformers and the universal message object (UMO) that Mule uses to process events through its pipeline. It provides examples of using Mule with file endpoints and XML pipelines.
This document provides an overview of Mule, an open-source enterprise service bus (ESB). It discusses key Mule concepts like the universal message object (UMO), endpoints, transports, connectors, routers, filters, transformers, and the Mule event flow. It provides examples of using Mule with file endpoints to move files between directories and validate XML files against a schema. It also covers exception handling in Mule and generating error messages when validation fails.
This document provides an introduction to Mule, an open-source enterprise service bus (ESB). It discusses what Mule is, how it can be used, and its core concepts. Mule uses technologies like staged event-driven architecture (SEDA) and Java NIO to facilitate integration. Core Mule concepts include endpoints, routers, filters, transformers, and the universal message object (UMO). The document also provides examples of using Mule for file processing and XML pipelines. It demonstrates how Mule handles normal processing as well as exceptions.
This document provides an overview of Mule, an open-source enterprise service backbone. It discusses key Mule concepts like the universal message object, transports, connectors, routers, filters, transformers and the Mule event flow. It also covers how Mule uses staged event-driven architecture and Java NIO for advanced technologies. Specific examples are provided around using Mule with file endpoints and for XML pipelines. The document concludes with a discussion of exception handling in Mule.
This document provides an introduction to using Mule, an open-source enterprise service backbone (ESB). It discusses key Mule concepts like endpoints, transports, connectors, routers, filters, transformers and the Mule event flow. It also provides examples of using Mule to move XML files between folders and handle exceptions. The document is intended to help users learn the basics of building integrations with Mule.
This document provides an introduction and overview of Mule, an open-source enterprise service bus (ESB). It discusses what Mule is, how it is used, and its core concepts. Mule uses a staged event-driven architecture and Java NIO for advanced technologies. Core concepts covered include the universal message object, endpoints, transports, connectors, routers, filters, transformers, and the mule event flow. The document provides examples of using Mule with file endpoints and XML pipelines. It also discusses exception handling in Mule.
This document provides an overview of Mule ESB, including:
- Mule ESB is an open source enterprise service bus that provides lightweight and flexible integration capabilities.
- It uses a loosely coupled architecture and supports major protocols and technologies.
- Mule ESB uses a staged event-driven (SEDA) architecture to avoid overhead of thread-based concurrency models.
- Key concepts include universal message objects (UMOs), endpoints, transports, connectors, transformers, routing, and exception handling strategies.
This document provides an introduction to using Mule, an open-source enterprise service bus (ESB). It discusses key Mule concepts like the universal message object, endpoints, transports, connectors, routers, filters, transformers and the message flow. It provides examples of using Mule for tasks like moving files between folders and validating XML files against a schema. It also covers exception handling in Mule.
This document provides an introduction to using Mule, an open-source enterprise service bus (ESB). It discusses Mule's core concepts like the universal message object, endpoints, transports, connectors, routers, filters and transformers. It provides examples of using Mule to move files between directories and validate XML files against a schema. The document is intended to explain Mule's declarative approach and how data flows through various stages of receiving, routing, transforming and dispatching events.
This document provides an introduction to using Mule, an open-source enterprise service bus (ESB). It discusses core Mule concepts like the universal message object, endpoints, transports, connectors, routers, filters, transformers and the Mule event flow. It provides examples of using Mule to move files between directories and validate an XML file against a schema. Exceptions are handled by associating an exception strategy to redirect invalid files to an error folder.
This document provides an introduction to Mule, an open-source enterprise service backbone. It discusses key Mule concepts like transports, connectors, routers, filters and transformers. It also explains how to use Mule to perform operations on XML files like validation, transformation and splitting files. The core components of a Mule event and exception handling strategies are outlined. Finally, it provides a brief overview of Anypoint Platform and how it can help with integration goals.
This document provides an overview of Apache Camel, an open source framework for integration. It discusses key Camel concepts like routes, endpoints, components, messages and integration patterns. It provides examples of routing messages between different endpoints using the Java and XML domain specific languages.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
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4. Mule is Has Advanced
Technologies
SEDA
Staged Event-Driven Architecture
Java NIO
Java New Input/Output
4
5. SEDA
SEDA decomposes a complex, event-driven software application
into a set of stages connected by queues
This design avoids the high overhead associated with thread-based
concurrency models, and decouples event and thread scheduling
from application logic
By performing admission control on each event queue, the service
can be well-conditioned to load, preventing resources from being
overcommitted when demand exceeds service capacity
SEDA employs dynamic control to automatically tune runtime
parameters (such as the scheduling parameters of each stage) as
well as to manage load, for example, by performing adaptive load
shedding
Decomposing services into a set of stages also enables modularity
and code reuse, as well as the development of debugging tools for
complex event-driven applications
5
6. Java NIO
NIO is a collection of Java programming language APIs that
offer advanced features for intensive I/O operations
NIO facilitates an implementations that can directly use
the most efficient operations of the underlying platform
NIO includes:
Buffers for data of primitive types
Character set encoders and decoders
A pattern-matching facility based on Perl-style regular expressions
(in package java.util.regex)
Channels, a new primitive I/O abstraction
A file interface that supports locks and memory mapping
A multiplexed, non-blocking I/O facility for writing scalable servers
6
7. Mule’s “Moves Things
Around”
Folder to folder
Queue to queue
Shared memory to shared memory
Using different types of transports
In a flexible way
7
8. XML Pipeline
An XML pipeline is a series of operation that are
performed on one or more XML files
Examples include:
validate
transform
prune (remove nodes)
split (break a single XML file into many files)
merge (join two or more files together)
8
9. CRV Example
Flow of XML document through approval processes
9
Submit
CRV
Deed
Matched
CRV
SSN
Stripped
CRV
Income
Tax
Audit
County
Audit
County
Approval
State
Audit
State
Approval
10. Decomposition
Example of XML Operations used on CRV
10
Validate Split
Remove
SSN
Element
Store
Modify
Value
Add
Element
Modify
Value
Add
Element
11. Declarative Approach
Focus on specifying "What" not "How"
Empower business analysis to write machine-readable
specifications
Hide the "How" behind services with clear interfaces
(SOA)
11
13. Universal Message Object
(UMO)
A UMO is a type of Java object that can
receive events "from anywhere"
send events
UMO Components are usually your
business objects. They are components
that execute business logic on an
incoming event
UMO are standard JavaBeans (containers)
There is no Mule-specific code in your
components
Mule handles all routing and
transformation of events to and from your
objects based on the configuration of your
component
13
14. Transport
A transport or "provider", is a set of objects that add
support to Mule to handle a specific kind of transport or
protocol
Examples
the "Email Provider" enables Mule to send and receive
messages via the SMTP, POP and IMAP protocols
14
15. Connector
A connector is the object that sends and receives
messages on behalf of an endpoint.
Connectors are bundled as part of specific transports or
providers.
For example, the FileConnector can read and write
file system files.
15
16. Router
A router is the object that do something with messages
once they have been received by a connector, or prior
to being sent out by the connector
16
17. Filter
A filter optionally filters incoming or
outgoing messages that are coming
into or going out from a connector.
For example, the File Provider comes
with a FilenameWildcardFilter
that restricts which files are read by
the connector based on file name
patterns. For example only files with
the .xml extension can be routed.
Filters are used in conjunction with
Routers.
17
18. Transformer
A transformer optionally changes incoming or outgoing
messages in some way
This is usually done to make the message format
useable by a downstream function
Examples:
the ByteArrayToString transformer converts byte arrays
into String objects.
18
19. Mule Event Flow
The nine stages of a mule event
first 2 – inbound
middle 4 – component
last 2 – outbound
19
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Inbound
Component
Outbound
Optional Step
20. Message Receiver Endpoint
Some event triggers a message flow
A file being written into a folder
A message arriving on a message queue
A record in a database
Data written to a socket
20
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Endpoint
(Message Receiver)
21. Inbound Router
The inbound router is the fist step
in a message. Functions typically
performed by an inbound router
Filtering
Remove duplicate messages
Matching messages
Aggregation (combining)
Re-sequence data
Forwarding
See also
IdempotentReceiver
CorrolationAggregator
CorrelationResequencer
21
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Endpoint
(Message Receiver)
22. Interceptor
Used to intercept message
flow into your service
component
Used trigger monitor/events
or interrupt the flow of the
message
Example: an authorization
interceptor could ensure that
the current request has the
correct credentials to invoke
the service.
22
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Inbound Transformer
Outbound Transformer
Service Invocation
Interceptor
Endpoint
(Message Receiver)
Interceptor
23. Inbound Transformer
If the inbound data is not in the
correct format for the service it
must be transformed at this point
23
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Outbound Transformer
Interceptor
Service Invocation
Interceptor
Inbound Transformer
24. Service Invocation
The actual service is performed
In mule, this is generally a Java object
Service invocation can also be a "pass
through"
24
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Router
Outbound Transformer
Interceptor
Interceptor
Inbound Transformer
Service Invocation
25. Outbound Router
Dispatching the data to all the
relevant endpoints
25
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Outbound Transformer
Interceptor
Interceptor
Inbound Transformer
Service Invocation
Outbound Router
26. Built-in Router Classes
Inbound Outbound Response
Idempotent Receiver Filtering Outbound Router Response Aggregator
Selective Consumer Recipient List
Aggregator Multicasting Router
Resequencer Chaining Router
Forwarding Consumer Message Splitter
Filtering List Message
Splitter
Filtering Xml Message
Splitter
Exception Based Router
26
27. Outbound Transformer
Any transformations that needs
to be done on the message after
a service has been performed on
the message can be executed
before it is put into the endpoint
See Also
EnvelopeInterceptor
27
Endpoint
(Message Receiver)
Endpoint
(Message Dispatcher)
Inbound Router
Interceptor
Interceptor
Inbound Transformer
Service Invocation
Outbound Router
Outbound Transformer
29. Omitted From Examples
for Brevity<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mule-configuration PUBLIC "-//MuleSource
//DTD mule-configuration XML V1.0//EN"
"http://mule.mulesource.org/dtds/mule-
configuration.dtd">
29
32. Only Moving XML Files
<inbound-router>
<endpoint address="file:///c:/mule-class/in">
<filter pattern="*.xml"
className=
"org.mule.providers.file.filters.FilenameWildcardFilter"/>
</endpoint>
</inbound-router>
32
Add the filter line to only move files with the extension
"*.xml". If you add a file "foobar.txt to the input folder it
will not be moved.
33. Keeping the Name The Same
<outbound-router>
<router className="org.mule.routing.outbound.OutboundPassThroughRouter">
<endpoint
address=
"file:///c:/mule-class/out?outputPattern=$[ORIGINALNAME]"
/>
</router>
</outbound-router>
33
Add the outputPattern parameter to keep the output
name the same as the input.
34. Happy Path and Exceptions
By default, error free documents follow a central path
known as the "happy path"
Documents that have errors may be handled in different
ways (rejected, warnings etc.)
34
Start StopStep 1 Step 2 Step 3
Stop Stop Stop
35. Exception Handling
Mule has a special way of handling non-happy path processing.
This is called an "Exception Strategy" but is it really just and
exception path and there is very little strategy involved.
There are three places you can associate an exception strategy
connector
component
model (set for all components in a model)
35
37. Sample XML
<?xml version="1.0" encoding="UTF-8"?>
<Data>
<Element1>Hello World!</Element1>
<Element2>String</Element2>
<Element3>String</Element3>
<DansInvalidDataElement>This is Dans invalid data element</DansInvalidDataElement>
</Data>
37
XML Schema validation will generate an error message
when it gets to the fourth invalid data element:
Given the following XML Schema file:
38. Validating against an XML
Schema<outbound-router>
<router className="org.mule.routing.outbound.FilteringXmlMessageSplitter">
<endpoint
address="file:///c:/mule-class/out?outputPattern=$[ORIGINALNAME]"/>
<properties>
<property name="validateSchema" value="true"/>
<property name="externalSchemaLocation"
value="file:///c:/mule-class/labs/07-validate/my-schema.xsd"/>
</properties>
</router>
</outbound-router>
38
To validate the XML Schema, just add two properties:
1) tell it to validate the document
2) tell it what file to use and where to find it
39. Error Message
document : cvc-complex-type.2.4.d: Invalid content was found
starting with element 'DansInvalidDataElement'. No child
element is expected at this point.
39
This error message is generated on the Mule console
when an invalid data element is found. But what should
we do with it? How do we redirect it to the appropriate
user?