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.
Implementing WebServices with Camel and CXF in ServiceMix
The document discusses using the camel-cxf component to create and consume web services with Apache Camel. It describes three approaches for working with SOAP messages: POJO-based using generated Java objects, payload-based working directly with XML payloads, and provider-based. The agenda covers implementing a web service using these approaches with Apache ServiceMix, including code generation, configuration, packaging, and testing. Sample code is provided to demonstrate routing SOAP messages between HTTP, JMS, and generating responses using templates.
OSGi and Blueprint provide modularity for Java applications. Apache Karaf is an OSGi container that allows dynamic installation and management of bundles. Blueprint is an implementation of the OSGi declarative services specification that allows configuring bundles through XML. Key concepts discussed include OSGi bundles and their lifecycle, the OSGi service registry for communication between bundles, and using Apache Karaf and Blueprint together for an OSGi application.
This document discusses application profiling for memory and performance. It describes how to measure contention in CPU, memory, disk I/O, and network I/O as concurrency increases. It recommends performance tuning by identifying bottlenecks and shifting them through parameter tweaking and code profiling. Common issues like classcast exceptions, permgen errors, deadlocks, nullpointers, and outofmemoryexceptions can be addressed through profiling tools like JProfiler, Eclipse Memory Analyzer, and JConsole. The document provides examples of how WSO2 uses profiling to optimize products like the Identity Server for low-memory environments and Raspberry Pi clusters.
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
This session covers new improvements that will be introduced in WildFly 9:
• Wildfly-core will be extracted from the codebase and the ability to assemble a server on top of it will be introduced. WildFly 9 will be provided in two versions: Wildfly Web and Wildfly Full but users will be able to create their custom packaging of WildFly.
• Users will be able to shutdown the application server in a graceful manner - after the shutdown command is executed server will reject new requests and allow existing requests to finish before it shuts down.
• Support for HTTP/2, a new version of HTTP protocol based on SPDY, will be introduced.
• Users will be able to use WildFly as a load balancer. Consequently, it will be possible to manage the balancer with the same tools that are used to manage the rest of the domain. What is more, users will be able to use more efficient protocols, such as HTTP/2, for communication between the balancer and backend servers.
• An OpenShift cartridge, which will enable users to use WildFly 9 in cloud environment, will be provided.
• WildFly 9 will use OpenJDK ORB library instead of JacORB.
This document discusses achieving horizontal scaling for enterprise messaging using Fabric8. It provides an introduction to Fabric8 and enterprise messaging concepts. It then describes how Fabric8MQ, which is built on Vert.x, provides horizontal scaling and load balancing for ActiveMQ by implementing features like protocol conversion, Camel routing, API management, multiplexing, and destination sharding across Kubernetes pods and nodes. The document concludes with a demo of Fabric8MQ's capabilities.
Setting up a free open source java e-commerce website
History and lessons learned from a startup weekend. How I picked a FOSS e-commerce Java software and set-up a webshop in a weekend from ground zero. Including pushing it into the cloud.
This document discusses new features in Oracle WebLogic Server 12c including Java EE 6 support, simplified deployment and management with virtualization, integrated traffic management, enhanced high availability and disaster recovery, improved performance, and optimizations for cloud environments. Key highlights include over 200 new features, support for Java SE 7, active GridLink capabilities for Oracle RAC, and integration with Oracle Exalogic engineered systems for extreme performance.
This document discusses how to build custom products using the WSO2 Carbon platform. It covers key Carbon concepts like features and components, and how to develop a custom component, create a corresponding feature, and install it into a Carbon-based product. It provides steps for building the backend and frontend of a component using Maven, as well as configuring deployment, clustering, and more.
Maximize Messaging and Performance and Lowering Infrastructure Footprint
This document discusses how to maximize messaging performance and minimize infrastructure footprint when deploying WSO2 products. It recommends selecting the appropriate message transport based on factors like performance, interoperability, and asynchronous capabilities. It also suggests minimizing footprint by using Carbon to build minimal products or multi-tenancy to maximize sharing. Recent performance improvements in WSO2 products include native JSON support, ESB pass-through, streaming XPath/XSLT, and CEP 2.0. Tuning at the OS, product, and application levels can further optimize performance. The goal is to build smaller, higher performing systems that save money and resources.
The document discusses Apache Karaf, OSGi, Blueprint and related topics. It provides an overview of the Apache Software Foundation and its role in open source projects like OSGi. It then summarizes OSGi and how it addresses modularity challenges in Java. Finally, it introduces Blueprint for dependency injection in OSGi and Apache Karaf as an OSGi-based runtime.
Right-size Deployment Instances to Meet Enterprise Demand
This document discusses best practices for delivering mission-critical production grade architectures and infrastructures. It covers deployment patterns, reference architectures, capacity planning, and scaling. The key points are: understanding business objectives, considering infrastructure policies and standards, drawing logical and physical architectures, gathering performance data, sizing instances based on capacity planning guidelines, and keeping a buffer for unexpected demand. The goal is to right-size deployments to meet enterprise needs.
Oracle SOA Suite 11g Mediator vs. Oracle Service Bus (OSB)
With Oracle SOA Suite 11g the old Oracle ESB become the Mediator component. With that only one "real" service bus resides, the Oracle Serivce Bus (OSB), which has been taken over from BEA (used to be Aqualogic Service Bus).
Mediator and OSB have some overlapping funcitonality, like transformation, routing and filtering. The question automatically raised is of course when to use which component. This presentation shows the difference between the components, the functionality they provide and some typical use cases for both.
Scalability Availabilty and Management of WSO2 Carbon
1. The document discusses strategies for scaling, availability, and managing the WSO2 Carbon platform, including clustering for scalability and availability, the WSO2 Elastic Load Balancer, separating management and worker nodes, deployment synchronization, and lazy loading.
2. It provides an overview of membership types and modes for Carbon clustering, configurations for clustering, and strategies for HTTP session replication.
3. The WSO2 Elastic Load Balancer 2.0 is introduced which provides tenant-aware load balancing, private jet mode to dedicate clusters for tenants, and an improved auto-scaler.
Deep Dive: Alfresco Core Repository (... embedded in a micro-services style a...
Alfresco Summit 2014 (London)
Though best practice is to leverage Alfresco through the well defined API's, it can be useful to understand the internals of the repository so that your development efforts are the most effective. A deep understanding of the repository will help you to evaluate performance bottlenecks, look for bugs, or make contributions. This session provides an overview of the repository internals, including the major components, the key services, subsystems, and database. We then provide an example where we leverage the repository in a micro-service architecture while building Alfresco's future cloud products and show how the different parts of the repository interact to fulfill requests.
http://summit.alfresco.com/london/sessions/diving-deep-alfresco-repository
https://www.youtube.com/watch?v=TAE9UjC0xxc
Reference architectures shows a microservices deployed to Kubernetes
The document discusses microservices architecture on Kubernetes. It describes microservices as minimal, independently deployable services that interact to provide broader functionality. It contrasts this with monolithic applications. It then covers key aspects of microservices like ownership, tradeoffs compared to traditional applications, common adoption cases, and differences from SOA. It provides a reference architecture diagram for microservices on Kubernetes including components like ingress, services, CI/CD pipelines, container registry, and data stores. It also discusses design considerations for Kubernetes microservices including using Kubernetes services for service discovery and load balancing, and using an API gateway for routing between clients and services.
How the WSO2 ESB outperforms other major open source esb vendors
WSO2 ESB outperforms other open source ESBs through its use of specialized transports like the Pass Through Transport (PTT) and optimizations like streaming XPath and FAST XSLT. Benchmark tests showed WSO2 ESB 4.6 handling over 2,500 concurrent connections with minimal latency, outperforming competitors. While performance is important, WSO2 ESB is also enterprise-ready, part of a complete middleware platform, and offers PaaS deployment and 100% open source software.
Conozca como nuestro bus de servicios empresariales Red Hat JBoss Fuse proporciona una mejor gestión de la información maximizando el valor de sus aplicaciones, reduciendo los tiempos de respuesta operativos, agilizando la toma de decisiones inteligentes para su negocio en tiempo real.
It's time to take a look at the running container for the camel route we have been creating for this stock trading company, after all, our system cannot always run on developer's laptop.
This part takes you look at the OSGi container in JBoss Fuse
This is the last part of the workshop.
This workshop is about fabric8. It provision, automate, configure, and manage containers from a central location.
Also provide HA, failover and service registry too.
The best thing about Camel is that you can actually concentrating what is important, your enterprise specific customize logic. And guess what, there are no framework to learn, just use POJO. This workshop tells you how to register your java bean in Camel, and how to make use of it!
This part go on to explain what EIP, Enterprise Integration Pattern is. We take you through some of the common EIP we use while trying to solve integration problems. But it's not just boring old textbook EIP, we go through an ordering system that actually discuss what EIP we can use in it!
This small independent workshop talks about error handling in Camel. It covers the basic error handler, catches exceptions and also using try and catch in Camel route.
This document discusses message transformation techniques in JBoss Fuse, including transforming message formats like XML, JSON, CSV, and POJO; using components like marshal, unmarshal, and transform to change formats; updating message metadata and content; and using processors and beans to customize transformations.
aqui se muestran los diferentes tipos de honorarios de un consultor asi como los métodos que hay para determinarlos e ingormacion de la factura hacia el cliente.
El documento describe las etapas del proceso de consultoría, incluyendo la iniciación, diagnóstico, planificación de acción, aplicación y terminación. También presenta un caso empresarial sobre una pizzería llamada "Don Pochocho" que busca diferenciarse ofreciendo comida rápida saludable y una experiencia única para los clientes.
This document provides an overview of enterprise integration patterns (EIPs) and how they are implemented using Apache Camel and Project Fuji frameworks. It discusses core EIP principles like asynchronous messaging for integration. It also describes various EIP implementations like content-based routing, dead letter channels, and message transformation patterns. Code examples are shown using the Java and Spring DSLs for Apache Camel and the DSL and web UI for Project Fuji.
Apache Camel is an open-source integration framework that allows applications to integrate various systems together. It uses Enterprise Integration Patterns to provide routing and mediation between endpoints. Camel supports various languages and has a large number of components for integration with different systems like files, databases, messaging systems etc. It allows configuration of routes using a simple domain specific language to perform operations like transforming messages, splitting/aggregating data between endpoints.
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.
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.
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.
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.
Microservices with Zoran Majstorović discusses moving from monolithic applications to microservices architectures using RabbitMQ/AMQP for messaging. It covers refactoring Ruby code using callbacks to use a consumer microservice. It also demonstrates a simple way to deploy a microservice in a Docker container to AWS ECS. Key topics include decoupling services, different integration options like messaging, AMQP concepts, and using RabbitMQ with Ruby.
This document provides an overview of Spring RabbitMQ, which is a framework for integrating Java applications with the RabbitMQ message broker. It discusses messaging basics and RabbitMQ concepts like exchanges, queues, bindings and message routing. It then summarizes how Spring RabbitMQ can be used to configure RabbitMQ infrastructure like connections, templates, listeners and administrators either directly in Java code or using Spring configuration. It also briefly mentions how Spring Integration and Spring Boot can be used to build messaging applications on RabbitMQ.
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.
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.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
Apache Camel is an open source framework for integrating applications and systems. It uses an declarative domain-specific language to configure routing and mediation rules. Components in Camel act as endpoint factories to interact with external systems using different protocols. Routes define the application logic and flow using the Java DSL or XML definitions. Camel provides numerous components out of the box and also allows custom components to be created.
This document discusses EAI (Enterprise Application Integration) patterns using Spring Integration. It provides an overview of messaging, pipes and filters, and common EAI patterns. It then demonstrates how Spring Integration implements these patterns through its API, with an emphasis on messaging channels. Examples are given for sending and receiving JMS, AMQP, HTTP, and email messages. Common patterns like filtering, routing, splitting, and aggregating messages are also explained.
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
Operationalizing Machine Learning: Serving ML Models
Join O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.
Typically with machine learning, different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools, causing software engineers to create complementary model-serving frameworks to keep pace. It’s not a very efficient system. In this webinar, Boris demonstrates a more standardized approach to model serving and model scoring:
* How to develop an architecture for serving models in real time as part of input stream processing
* How this approach enables data science teams to update models without restarting existing applications
* Different ways to build this model-scoring solution, using several popular stream processing engines and frameworks
This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
This document provides an overview of a presentation on middleware security for Apache CXF, Camel, ActiveMQ and Karaf. It discusses various security concepts like authentication, authorization, auditing and encryption. It then goes into more details on implementing security for specific middleware like 2-way SSL for ActiveMQ, JAAS for authentication and authorization, password masking. It also discusses security implementations and examples for Camel, CXF, Karaf container and integration with other security frameworks like PicketLink, Spring Security and Shiro. The presentation will include demonstrations of web console security and securing ActiveMQ broker, producers and consumers using SSL.
Implementing WebServices with Camel and CXF in ServiceMixAdrian Trenaman
The document discusses using the camel-cxf component to create and consume web services with Apache Camel. It describes three approaches for working with SOAP messages: POJO-based using generated Java objects, payload-based working directly with XML payloads, and provider-based. The agenda covers implementing a web service using these approaches with Apache ServiceMix, including code generation, configuration, packaging, and testing. Sample code is provided to demonstrate routing SOAP messages between HTTP, JMS, and generating responses using templates.
OSGi and Blueprint provide modularity for Java applications. Apache Karaf is an OSGi container that allows dynamic installation and management of bundles. Blueprint is an implementation of the OSGi declarative services specification that allows configuring bundles through XML. Key concepts discussed include OSGi bundles and their lifecycle, the OSGi service registry for communication between bundles, and using Apache Karaf and Blueprint together for an OSGi application.
Application Profiling for Memory and PerformanceWSO2
This document discusses application profiling for memory and performance. It describes how to measure contention in CPU, memory, disk I/O, and network I/O as concurrency increases. It recommends performance tuning by identifying bottlenecks and shifting them through parameter tweaking and code profiling. Common issues like classcast exceptions, permgen errors, deadlocks, nullpointers, and outofmemoryexceptions can be addressed through profiling tools like JProfiler, Eclipse Memory Analyzer, and JConsole. The document provides examples of how WSO2 uses profiling to optimize products like the Identity Server for low-memory environments and Raspberry Pi clusters.
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
This session covers new improvements that will be introduced in WildFly 9:
• Wildfly-core will be extracted from the codebase and the ability to assemble a server on top of it will be introduced. WildFly 9 will be provided in two versions: Wildfly Web and Wildfly Full but users will be able to create their custom packaging of WildFly.
• Users will be able to shutdown the application server in a graceful manner - after the shutdown command is executed server will reject new requests and allow existing requests to finish before it shuts down.
• Support for HTTP/2, a new version of HTTP protocol based on SPDY, will be introduced.
• Users will be able to use WildFly as a load balancer. Consequently, it will be possible to manage the balancer with the same tools that are used to manage the rest of the domain. What is more, users will be able to use more efficient protocols, such as HTTP/2, for communication between the balancer and backend servers.
• An OpenShift cartridge, which will enable users to use WildFly 9 in cloud environment, will be provided.
• WildFly 9 will use OpenJDK ORB library instead of JacORB.
This document discusses achieving horizontal scaling for enterprise messaging using Fabric8. It provides an introduction to Fabric8 and enterprise messaging concepts. It then describes how Fabric8MQ, which is built on Vert.x, provides horizontal scaling and load balancing for ActiveMQ by implementing features like protocol conversion, Camel routing, API management, multiplexing, and destination sharding across Kubernetes pods and nodes. The document concludes with a demo of Fabric8MQ's capabilities.
Setting up a free open source java e-commerce websiteCsaba Toth
History and lessons learned from a startup weekend. How I picked a FOSS e-commerce Java software and set-up a webshop in a weekend from ground zero. Including pushing it into the cloud.
Introducing WebLogic 12c OTN Tour 2012Bruno Borges
This document discusses new features in Oracle WebLogic Server 12c including Java EE 6 support, simplified deployment and management with virtualization, integrated traffic management, enhanced high availability and disaster recovery, improved performance, and optimizations for cloud environments. Key highlights include over 200 new features, support for Java SE 7, active GridLink capabilities for Oracle RAC, and integration with Oracle Exalogic engineered systems for extreme performance.
This document discusses how to build custom products using the WSO2 Carbon platform. It covers key Carbon concepts like features and components, and how to develop a custom component, create a corresponding feature, and install it into a Carbon-based product. It provides steps for building the backend and frontend of a component using Maven, as well as configuring deployment, clustering, and more.
Maximize Messaging and Performance and Lowering Infrastructure FootprintWSO2
This document discusses how to maximize messaging performance and minimize infrastructure footprint when deploying WSO2 products. It recommends selecting the appropriate message transport based on factors like performance, interoperability, and asynchronous capabilities. It also suggests minimizing footprint by using Carbon to build minimal products or multi-tenancy to maximize sharing. Recent performance improvements in WSO2 products include native JSON support, ESB pass-through, streaming XPath/XSLT, and CEP 2.0. Tuning at the OS, product, and application levels can further optimize performance. The goal is to build smaller, higher performing systems that save money and resources.
Jug Poitou Charentes - Apache, OSGi and KarafGuillaume Nodet
The document discusses Apache Karaf, OSGi, Blueprint and related topics. It provides an overview of the Apache Software Foundation and its role in open source projects like OSGi. It then summarizes OSGi and how it addresses modularity challenges in Java. Finally, it introduces Blueprint for dependency injection in OSGi and Apache Karaf as an OSGi-based runtime.
Right-size Deployment Instances to Meet Enterprise Demand WSO2
This document discusses best practices for delivering mission-critical production grade architectures and infrastructures. It covers deployment patterns, reference architectures, capacity planning, and scaling. The key points are: understanding business objectives, considering infrastructure policies and standards, drawing logical and physical architectures, gathering performance data, sizing instances based on capacity planning guidelines, and keeping a buffer for unexpected demand. The goal is to right-size deployments to meet enterprise needs.
Oracle SOA Suite 11g Mediator vs. Oracle Service Bus (OSB)Guido Schmutz
With Oracle SOA Suite 11g the old Oracle ESB become the Mediator component. With that only one "real" service bus resides, the Oracle Serivce Bus (OSB), which has been taken over from BEA (used to be Aqualogic Service Bus).
Mediator and OSB have some overlapping funcitonality, like transformation, routing and filtering. The question automatically raised is of course when to use which component. This presentation shows the difference between the components, the functionality they provide and some typical use cases for both.
Scalability Availabilty and Management of WSO2 CarbonWSO2
1. The document discusses strategies for scaling, availability, and managing the WSO2 Carbon platform, including clustering for scalability and availability, the WSO2 Elastic Load Balancer, separating management and worker nodes, deployment synchronization, and lazy loading.
2. It provides an overview of membership types and modes for Carbon clustering, configurations for clustering, and strategies for HTTP session replication.
3. The WSO2 Elastic Load Balancer 2.0 is introduced which provides tenant-aware load balancing, private jet mode to dedicate clusters for tenants, and an improved auto-scaler.
Deep Dive: Alfresco Core Repository (... embedded in a micro-services style a...J V
Alfresco Summit 2014 (London)
Though best practice is to leverage Alfresco through the well defined API's, it can be useful to understand the internals of the repository so that your development efforts are the most effective. A deep understanding of the repository will help you to evaluate performance bottlenecks, look for bugs, or make contributions. This session provides an overview of the repository internals, including the major components, the key services, subsystems, and database. We then provide an example where we leverage the repository in a micro-service architecture while building Alfresco's future cloud products and show how the different parts of the repository interact to fulfill requests.
http://summit.alfresco.com/london/sessions/diving-deep-alfresco-repository
https://www.youtube.com/watch?v=TAE9UjC0xxc
Reference architectures shows a microservices deployed to KubernetesRakesh Gujjarlapudi
The document discusses microservices architecture on Kubernetes. It describes microservices as minimal, independently deployable services that interact to provide broader functionality. It contrasts this with monolithic applications. It then covers key aspects of microservices like ownership, tradeoffs compared to traditional applications, common adoption cases, and differences from SOA. It provides a reference architecture diagram for microservices on Kubernetes including components like ingress, services, CI/CD pipelines, container registry, and data stores. It also discusses design considerations for Kubernetes microservices including using Kubernetes services for service discovery and load balancing, and using an API gateway for routing between clients and services.
How the WSO2 ESB outperforms other major open source esb vendorsWSO2
WSO2 ESB outperforms other open source ESBs through its use of specialized transports like the Pass Through Transport (PTT) and optimizations like streaming XPath and FAST XSLT. Benchmark tests showed WSO2 ESB 4.6 handling over 2,500 concurrent connections with minimal latency, outperforming competitors. While performance is important, WSO2 ESB is also enterprise-ready, part of a complete middleware platform, and offers PaaS deployment and 100% open source software.
Redhat Open Day - Integracion JBoss Fuse A-MQAdrian Gigante
Conozca como nuestro bus de servicios empresariales Red Hat JBoss Fuse proporciona una mejor gestión de la información maximizando el valor de sus aplicaciones, reduciendo los tiempos de respuesta operativos, agilizando la toma de decisiones inteligentes para su negocio en tiempo real.
It's time to take a look at the running container for the camel route we have been creating for this stock trading company, after all, our system cannot always run on developer's laptop.
This part takes you look at the OSGi container in JBoss Fuse
This is the last part of the workshop.
This workshop is about fabric8. It provision, automate, configure, and manage containers from a central location.
Also provide HA, failover and service registry too.
The best thing about Camel is that you can actually concentrating what is important, your enterprise specific customize logic. And guess what, there are no framework to learn, just use POJO. This workshop tells you how to register your java bean in Camel, and how to make use of it!
This part go on to explain what EIP, Enterprise Integration Pattern is. We take you through some of the common EIP we use while trying to solve integration problems. But it's not just boring old textbook EIP, we go through an ordering system that actually discuss what EIP we can use in it!
JBoss Fuse - Fuse workshop Error HandlingChristina Lin
This small independent workshop talks about error handling in Camel. It covers the basic error handler, catches exceptions and also using try and catch in Camel route.
This document discusses message transformation techniques in JBoss Fuse, including transforming message formats like XML, JSON, CSV, and POJO; using components like marshal, unmarshal, and transform to change formats; updating message metadata and content; and using processors and beans to customize transformations.
aqui se muestran los diferentes tipos de honorarios de un consultor asi como los métodos que hay para determinarlos e ingormacion de la factura hacia el cliente.
El documento describe las etapas del proceso de consultoría, incluyendo la iniciación, diagnóstico, planificación de acción, aplicación y terminación. También presenta un caso empresarial sobre una pizzería llamada "Don Pochocho" que busca diferenciarse ofreciendo comida rápida saludable y una experiencia única para los clientes.
This document provides an overview of enterprise integration patterns (EIPs) and how they are implemented using Apache Camel and Project Fuji frameworks. It discusses core EIP principles like asynchronous messaging for integration. It also describes various EIP implementations like content-based routing, dead letter channels, and message transformation patterns. Code examples are shown using the Java and Spring DSLs for Apache Camel and the DSL and web UI for Project Fuji.
Apache Camel is an open-source integration framework that allows applications to integrate various systems together. It uses Enterprise Integration Patterns to provide routing and mediation between endpoints. Camel supports various languages and has a large number of components for integration with different systems like files, databases, messaging systems etc. It allows configuration of routes using a simple domain specific language to perform operations like transforming messages, splitting/aggregating data between endpoints.
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.
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.
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.
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.
Microservices with Zoran Majstorović discusses moving from monolithic applications to microservices architectures using RabbitMQ/AMQP for messaging. It covers refactoring Ruby code using callbacks to use a consumer microservice. It also demonstrates a simple way to deploy a microservice in a Docker container to AWS ECS. Key topics include decoupling services, different integration options like messaging, AMQP concepts, and using RabbitMQ with Ruby.
This document provides an overview of Spring RabbitMQ, which is a framework for integrating Java applications with the RabbitMQ message broker. It discusses messaging basics and RabbitMQ concepts like exchanges, queues, bindings and message routing. It then summarizes how Spring RabbitMQ can be used to configure RabbitMQ infrastructure like connections, templates, listeners and administrators either directly in Java code or using Spring configuration. It also briefly mentions how Spring Integration and Spring Boot can be used to build messaging applications on RabbitMQ.
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.
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.
Mule ESB is a lightweight Java-based integration platform that allows developers to connect applications together through integration patterns like flow-based programming. It provides functionality for service creation and hosting, message routing, data transformation, and mediation between different technologies. Mule ESB uses a visual drag-and-drop interface called Mule Studio for low-code development of integration flows and assets. Key components include endpoints to connect to external systems, transformations to modify message formats, filters to route messages conditionally, and routers to control message flow. Mule applications are deployed to a Mule runtime server for execution.
Apache Camel is an open source framework for integrating applications and systems. It uses an declarative domain-specific language to configure routing and mediation rules. Components in Camel act as endpoint factories to interact with external systems using different protocols. Routes define the application logic and flow using the Java DSL or XML definitions. Camel provides numerous components out of the box and also allows custom components to be created.
This document discusses EAI (Enterprise Application Integration) patterns using Spring Integration. It provides an overview of messaging, pipes and filters, and common EAI patterns. It then demonstrates how Spring Integration implements these patterns through its API, with an emphasis on messaging channels. Examples are given for sending and receiving JMS, AMQP, HTTP, and email messages. Common patterns like filtering, routing, splitting, and aggregating messages are also explained.
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
Operationalizing Machine Learning: Serving ML ModelsLightbend
Join O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.
Typically with machine learning, different groups are responsible for model training and model serving. Data scientists often introduce their own machine-learning tools, causing software engineers to create complementary model-serving frameworks to keep pace. It’s not a very efficient system. In this webinar, Boris demonstrates a more standardized approach to model serving and model scoring:
* How to develop an architecture for serving models in real time as part of input stream processing
* How this approach enables data science teams to update models without restarting existing applications
* Different ways to build this model-scoring solution, using several popular stream processing engines and frameworks
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
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More than 700 five-star reviews! You can check them here.
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At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
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Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
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UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
4. 4
Apache Camel
• Powerful Integration Framework
– Based on known Enterprise Integration Patterns
– Framework do the heavy lifting
– You can focus on business problem
– Not "reinventing the wheel"
• Use Case : a really simple way to do integration
– Started as a Sub-project of ActiveMQ in March 2007
– 36 committers (15 work for Red Hat)
– 80-100k artifact downloads a month
– 120k website views a month
– 1000 user mailing list posts per month
– 130 + Components and growing
– Most widely used integration framework on the planet
9. 9
Camel Context
• CamelContext is the container of many Camel Services
• Instance of the Camel runtime
From : “Camel in Action”, by Claus Ibsen
10. 10
What is a Camel Component?
• Components are the main extension point in Camel
• Components are used to manage everything in Camel :
◾ Data Transport
◾ Data Formatting
◾ ... customized behaviour
• From a programming point of view they :
◾ Have a name
◾ Act as a Factory of endpoints
11. 11
What is a Camel Processor?
• Core Camel concept : node capable of using, creating, or
modifying an incoming exchange
• During routing exchanges flow from one processor to another
public interface Processor {
/**
* Processes the message exchange
*
* @param exchange the message exchange
* @throws Exception if an internal processing error has occurred.
*/
void process(Exchange exchange) throws Exception;
}
12. 12
EIP Patterns and Processors
• Implement the actions of the EIP between the endpoints
• Perform actions on the message in the Route (e.g modify, use,
create, enrich ...)
• Processors can be linked in a pipeline flow
• Processor examples :
Splitter Message Filter
Aggregator Message Router
Content Enricher
13. 13
What is a Camel route?
• A Route is the step-by-step movement of a message:
◾ From a “listening” endpoint in the role of consumer
◾ Through a processing component - enterprise integration pattern,
processor, interceptor, etc. (optional)
◾ To a target endpoint in the role of producer
• May involve any number of processing components that
modify the original message and/or redirect it
◾ Use expressions and predicates
• An application developer specifies routes using:
◾ Spring configuration files
◾ Java Domain Specific Language (DSL)
14. 14
Routes ....
• By decoupling clients from servers, and producers
from consumers, routes can
◾ Decide dynamically what server a client will invoke
◾ Provide a flexible way to add extra processing
◾ Allow for clients and servers to be developed independently
◾ Allow for clients of servers to be stubbed out (using mocks)
for testing purposes
◾ Foster better design practices by connecting disparate
systems that do one thing well
◾ Enhance features and functionality of some systems (such
as message brokers and ESBs)
• Each route in Camel has a unique identifier that’s used
for logging, debugging, monitoring, and starting and
stopping routes.
15. 15
Expressions and Predicates
• Expressions return a selection of nodes for processing
◾ XPath is used for parsing XML payloads
• Predicates are conditional expressions
◾ Used to add logical branching to routes
• Camel supports other expression languages
◾
XQuery, Simple, Bean, OGNL, JavaScript, Groovy, Ruby ...
16. 16
What is a Camel Endpoint?
• An endpoint is something that can create or receive messages,
for example, an FTP server, a Web Service, or a JMS broker
• Camel allows you to specifiy endpoints using simple URIs
◾ ftp://john@localhost/ftp?password=nhoj
◾ activemq:queue:MyQueue
◾ timer://myTimer?period=2000
• Consumer Endpoint, source at beginning of Route, 'from'
• Producer Endpoint, sink at end of Route, 'to'
17. 17
Endpoint Syntax
• Endpoint URI format:
scheme:remainingURI[?options]
• Where:
• scheme identifies the component
– Scheme is the registered service name for activating a component in Camel
– Triggers dynamic loading of the component
– Maps to a specific instance of org.apache.camel.Component
• options is a list of name/value pairs
option1=value1&option2=value2&option3=value3
from("ftp://john@localhost/ftp?password=nhoj")
.to("xslt:MyTransform.xslt")
.to("activemq:queue:MyQueue")
Consumer endpoint
Producer
endpoint
Parameters
18. 18
Endpoint Functionality
• Endpoints are either message source or message sink
• Two roles :
◾ Consumer
– Appears at the beginning of a routing rule (for example, in a from() command
or in a <from ...> element, depending on the DSL used)
– Receives messages from an external source and creates a message
exchange object, which the routing rule processes.
◾ Producer
– Appears at the end of a routing rule (for example, in a to() command or in a
<to ...> element, depending on the DSL used)
– Sends the current message wrapped in the message exchange object to an
external target destination.
19. 19
Camel Components in practice
Use Case : Receive orders from ActiveMQ queue and
based on the type of message forward to appropriate
queue (ActiveMQ or Websphere MQ)
20. 20
Example 1 of 3
from newOrder
choice
when isWidget to widget
otherwise to gadget
21. 21
Example 2 of 3
from(newOrder)
.choice()
.when(isWidget).to(widget)
.otherwise.to(gadget)
25. 25
Example : change the endpoint
<route>
<from uri="file:inbox/orders?delete=true"/>
<choice>
<when>
<xpath>/order/product = 'widget'</xpath>
<to uri="activemq:queue:widget"/>
</when>
<otherwise>
<to uri="wmq:queue:gadget"/>
</otherwise>
</choice>
</route>
parameters
use file instead
26. 26
DSL : Java or XML ?
● Java
+ More options for custom development, embedded solutions
in legacy applications/frameworks
– Developer needs to take control of instantiation and route
lifecycles
● XML
+ Configuration over coding, which is simple, and means you
can see your route and its resources / configuration, all in
one place
– More coarse-grained and verbose
27. 27
Consumers and Producers
• Message consumers and producers are created from
endpoints
◾ Some endpoint technologies can create producers and
consumers, others support the creation of either a producer
or a consumer
◾ Examples :
from("timer://myTimer?period=2000")
.setBody().simple("Current time is ${header.firedTime}")
.to("stream:out");
from("ftp://john@localhost/ftp?password=nhoj")
.to("xslt:MyTransform.xslt")
.to("activemq:queue:MyQueue")
28. 28
ESB and routes
• ESB creates a pipeline of processors
◾ Passes incoming message to processor
◾ Sends output from one processor to the next in the chain
29. 29
ESB and messages
• ESB sends a Message Exchange along the pipeline
◾ Passes incoming message to processor
◾ Must be explicitly transformed, if needed
30. 30
Camel Message Exchange
• Message Container during routing
• Two Properties:
• InOnly (fire & forget - e.g. JMS message)
• InOut (request-response - e.g. HTTP requests)
Exchange
InMessage
Headers
Attachments
Body
Exchange ID MEP
Exception Properties
OutMessage
Headers
Attachments
Body
31. 31
Camel Message
• Basic structure for moving data over a Route
Sender ReceiverMessage
Message
Headers
Attachments
Body
(payload)
33. 33
Camel Message Lifecycle
• In messages are modified by each processor in the
route
◾ If a processor sets the Out message, Camel automatically
copies the Out message into the In message and resets the
Out message to be null
34. 34
End of Pipeline
• When processing is finished Camel returns the ME to
the consumer
• The consumer can :
◾ Send a response message
◾ Commit a transaction
◾ Handle and error
◾ Free any resource in use
39. 39
Extending Camel : create custom components
• Use Maven to create a skeleton component
• Define endpoint name
• Implement endpoint class to create
Consumer or Producer or both
• Implement Consumer and Producer classes
41. 41
Data transformation overview
● Data Format & Data Type
◾ Data format example : message body from .csv to .xml
◾ Data type example : message body from
java.lang.String to javax.jms.TextMessage
◾ Data transformations can be combined
From : “Camel in Action”, by Claus Ibsen
42. 42
Data Transformation
Data transformation in routes
Explicitly enforce transformation in the route using the Message
Translator or the Content Enricher EIPs. This gives you the power
to do data mapping using regular Java code.
Data transformation using
components
Camel provides a range of components for transformation, such
as the XSLT component for XML transformation.
Data transformation
using data formats
Data formats are Camel transformers that come in pairs to
transform data back and forth between well-known formats
Data transformation
using templates
Camel provides a range of components for transforming using
templates, such as Apache Velocity.
Data type transformation using
Camel’s type-converter
mechanism
Camel has an elaborate type-converter mechanism that activates
on demand. This is convenient when you need to convert from
common types such as java.lang.Integer to java.lang.String or
even from java.io.File to java.lang.String.
Message transformation in
component adapters
Extend Data transformation capability via custom transformers
47. 47
Using Beans
● Camel does not mandate to learn a specific component
model
● Camel uses the Service
Activator EIP to invoke POJOs
inside a route, implemented
by the Bean Component
● A sample route would look like:
from("quartz://report?cron=0+0+6+*+*+?")
.to("http://riders.com/orders/cmd=received&date=yesterday")
.bean(new OrderToCsvBean())
.to("file://riders/orders?fileName=report${header.Date}.csv");
Bean component
POJO
From : “Camel in Action”, by Claus Ibsen
48. 48
Bean invocation
● Camel works as a Service Activator, Camel resolves the
bean to call at runtime
From : “Camel in Action”, by Claus Ibsen
49. 49
Error handlers
● Camel support two concepts of error :
◾ Irrecoverable error (e.g. SQLException)
◾ Recoverable error
● In Camel a Recoverable error is represented by a
Java Throwable or Exception, accessible from
org.apache.camel.Exchange
● An Irrecoverable error is represented by a message
with a fault flag that can be set or accessed from
org.apache.camel.Exchange
● These definitions allow Camel to decide what to do
with an error
50. 50
Testing
● Developers can perform full unit testing of integration
flows without having to deploy and listen on physical
transports:
◾ Configure the route to listen on in-memory endpoints
such as direct or seda and write to mock, test, or
dataset endpoints
◾ Write unit tests using JUnit or TestNG, which...
– Set expectations on each producer endpoint
– Send messages to the consumer endpoint using
ProducerTemplate
– Assert expectations
51. 51
Components
● Camel's strength lies in the concept of Component
● All components are accessible via the URI syntax : e.g.
<scheme name> : <hierarchical part> [ ? <query> ]
[ # <fragment> ]
● Components are listed here :
http://camel.apache.org/components.html
● Some components are defined as External, since they do
not belong to the standard Apache Camel distribution and
are available under different licenses
52. 52
Asynchronous messaging
● JMS is a powerful integration technology
● Camel does not ship with a JMS provider, you need to
configure it with a specific ConnectionFactory instance
Message channel
Publish Subscribe channel
From : “Camel in Action”, by Claus Ibsen
53. 53
Web Services
● Camel uses Apache CXF to access and publish Web
Services (http://cxf.apache.org)
● Camel supports both WSDL first and Code First approach
● CXF can be configured via URI
cxf://anAddress[?options]
● CXF can be configured via endpoint bean
cxf:bean:beanName
54. 54
Databases
● Camel provides multiple ways to integrate with Databases
◾ JDBC Component
◾ SQL component
◾ JPA Component
◾ Hibernate Component (Extra component, must be downloaded
from http://code.google.com/p/camel-extra)
◾ iBatis component
55. 55
Virtual endpoints
● In-memory messaging is a synchronous or asynchronous
messaging model which happens inside or across a
CamelContext
● 3 components
◾ Direct
– Synchronous model
◾ Seda/VM
– Asynchronous
– Same parameters
– No persistence
– No JMS
– VM can be used to send messages across CamelContexts
56. 56
Automating tasks
● Timer and Quartz components
◾ Support only consuming components
● Timer is Camel Core component
◾ Very simple
● Quartz is based on the http://www.quartz-scheduler.org
project
◾ Allows much finer grained control
57. 57
Aggregator
● Aggregator combines messages incoming to a single
outbound message
● Aggregator identifies messages that are related
● Messages are sent to the outbound channel when
completion conditions occur
● Aggregator requires the developer to define
◾ Correlation identifier: an Expression
◾ Completion condition: a Predicate
◾ Aggregation strategy: an AggregationStrategy
58. 58
Splitter
● Splitter allows to read a message and split it into separate
messages so that they can be processed separately
● To use Splitter, the developer will need to configure an
Expression, which will be evaluated when a message
arrives
● Splitter will decorate the message with information that is
passed to the Exchange (e.g. Number of pieces the
original message has been split into, current message
index ....)
59. 59
Load Balancer
● The Camel Load Balancer component is a Processor that
implements
org.apache.camel.processor.loadbalancer.LoadBalancer
interface
● Load Balancer allows to balance anything is defined in Camel routes
● Load Balancer offers multiple load balancing strategies
from("direct:start")
.loadBalance().roundRobin()
.to("seda:a").to("seda:b")
.end();
from("seda:a")
.log("A received: ${body}")
.to("mock:a");
from("seda:b")
.log("B received: ${body}")
.to("mock:b");
From : “Camel in Action”, by Claus Ibsen
60. 60
Transactions
● Camel routes can create and enlist in transactional
contexts
● Use JMS transactions for reliable retry of message
delivery
● Use JDBC transactions to make processors
transactional
● Use the transactional error handler provided with
Camel
● Use an idempotent consumer to avoid unwanted
retries
61. 61
Concurrency
● Camel supports the
Competing Consumers
EIP pattern
● Some EIPs support concurrency
◾ Aggregate, Multicast, Recipient
list, Splitter, Thread, Wire Tap
● Consumers can be for example
jms or seda components
◾ Concurrent consumers normally expose
the concurrentConsumers option
62. 62
Security
● The broad categories offered are
◾ Route Security - Authentication and Authorization services to
proceed on a route or route segment
– Based on Apache Shiro : handles authentication, authorization, enterprise
session management and cryptography
◾ Payload Security - Data Formats that offer encryption/decryption
services at the payload level
– Based on XMLDataFormat and Crypto component
◾ Endpoint Security - Security offered by components that can be
utilized by endpointUri associated with the component
– Some componets offer the ability to secure their endopoints (e.g. Http, jetty,
CXF, netty, mina, JMS, ....)
◾ Configuration Security - Security offered by encrypting sensitive
information from configuration files
– Camel allows to crypt/decrypt configuration files containing sensitive
information
63. 63
Management & Monitoring
● The Health of Camel applications can be checked at 3
levels
◾ Network
◾ JVM
◾ Application
● At JVM level Camel exposes its managed beans through
JMX
● Applications can be monitored by use of log files
● Logging is defined by EIP Log
◾ Camel supports custom logging, notification and Tracer
Encapsulates the entire communication:
• Placeholders for two messages: IN and OUT
• Message exchange pattern (MEP) is set to InOnly or InOut
• Properties describe the communication
– Apply to both messages
• IN messages get modified repeatedly as they travel the route
• OUT messages are set only when the exchange is type InOut
• Booleans
– isFailed indicates whether an error has occurred
– isTransacted and isRollbackOnly plus a UnitOfWork object are used to describe the current transaction (if any)
Encapsulates the entire communication:
• Placeholders for two messages: IN and OUT
• Message exchange pattern (MEP) is set to InOnly or InOut
• Properties describe the communication
– Apply to both messages
• IN messages get modified repeatedly as they travel the route
• OUT messages are set only when the exchange is type InOut
• Booleans
– isFailed indicates whether an error has occurred
– isTransacted and isRollbackOnly plus a UnitOfWork object are used to describe the current transaction (if any)
Encapsulates the entire communication:
• Placeholders for two messages: IN and OUT
• Message exchange pattern (MEP) is set to InOnly or InOut
• Properties describe the communication
– Apply to both messages
• IN messages get modified repeatedly as they travel the route
• OUT messages are set only when the exchange is type InOut
• Booleans
– isFailed indicates whether an error has occurred
– isTransacted and isRollbackOnly plus a UnitOfWork object are used to describe the current transaction (if any)
Encapsulates the entire communication:
• Placeholders for two messages: IN and OUT
• Message exchange pattern (MEP) is set to InOnly or InOut
• Properties describe the communication
– Apply to both messages
• IN messages get modified repeatedly as they travel the route
• OUT messages are set only when the exchange is type InOut
• Booleans
– isFailed indicates whether an error has occurred
– isTransacted and isRollbackOnly plus a UnitOfWork object are used to describe the current transaction (if any)