Connecting Applications Everywhere with ActiveMQ

Apache Kafka is a distributed messaging system that allows for publishing and subscribing to streams of records, known as topics, in a fault-tolerant and scalable way. It is used for building real-time data pipelines and streaming apps. Producers write data to topics which are committed to disks across partitions and replicated for fault tolerance. Consumers read data from topics in a decoupled manner based on offsets. Kafka can process streaming data in real-time and at large volumes with low latency and high throughput.

Gradle is a superb software build tool with a bunch of great features and the presentation emphasizes on its most powerful one: its Groovy DSL.

This document provides an introduction to Apache Camel with Spring Boot. It discusses the architecture of Apache Camel including the routing engine, processor, components and Camel context. It explains that Apache Camel is an integration framework that allows defining routing rules and connecting different systems using a common API. The document outlines reasons to use Apache Camel such as routing, extensive components, easy configuration and integration patterns. It also provides an example of how to build routes with Apache Camel and integrate it with Spring Boot.

Rohit Sharma will present on Ansible playbooks. The presentation will cover an overview of Ansible, its features, architecture, and a comparison to Puppet and Chef. It will include a demonstration of Ansible. Attendees are asked to be punctual, provide constructive feedback, keep devices on silent mode, and avoid disturbances during the session.

A walk-through of various options in integration Apache Spark and Apache NiFi in one smooth dataflow. There are now several options in interfacing between Apache NiFi and Apache Spark with Apache Kafka and Apache Livy.

This presentation about Quarkus and GraalVM was done during a BBL in my client Enedis (France). A demonstration was following this presentation.

The document discusses Apache NiFi and its role in the Hadoop ecosystem. It provides an overview of NiFi, describes how it can be used to integrate with Hadoop components like HDFS, HBase, and Kafka. It also discusses how NiFi supports stream processing integrations and outlines some use cases. The document concludes by discussing future work, including improving NiFi's high availability, multi-tenancy, and expanding its ecosystem integrations.

While many companies are embracing Apache Kafka as their core event streaming platform they may still have events they want to unlock in other systems. Kafka Connect provides a common API for developers to do just that and the number of open-source connectors available is growing rapidly. The IBM MQ sink and source connectors allow you to flow messages between your Apache Kafka cluster and your IBM MQ queues. In this session I will share our lessons learned and top tips for building a Kafka Connect connector. I’ll explain how a connector is structured, how the framework calls it and some of the things to consider when providing configuration options. The more Kafka Connect connectors the community creates the better, as it will enable everyone to unlock the events in their existing systems.

This document discusses upgrading an Openstack network to SDN with Tungsten Fabric. It evaluates three solutions: 1) using the same database across regions, 2) hot-swapping Open vSwitch and virtual routers, and 3) using an ML2 plugin. The recommended solution is #3 as it provides minimum downtime. Key steps include installing the OpenContrail driver, synchronizing network resources between Openstack and Tungsten, and live migrating VMs. Topology 2 is also recommended as it requires minimum changes. The upgrade migrated 80 VMs and 16 compute nodes to the SDN network without downtime. Issues discussed include synchronizing resources and migrating VMs between Open vSwitch and virtual routers.

As part of this presentation we covered basics of Terraform which is Infrastructure as code. It will helps to Devops teams to start with Terraform. This document will be helpful for the development who wants to understand infrastructure as code concepts and if they want to understand the usability of terrform

Using Terraform to automate your infrastructure on AWS. What is Terraform and how is it different from Ansible. How to control cloud deployments using Terraform.

MiNiFi is a recently started sub-project of Apache NiFi that is a complementary data collection approach which supplements the core tenets of NiFi in dataflow management, focusing on the collection of data at the source of its creation. Simply, MiNiFi agents take the guiding principles of NiFi and pushes them to the edge in a purpose built design and deploy manner. This talk will focus on MiNiFi's features, go over recent developments and prospective plans, and give a live demo of MiNiFi. The config.yml is available here: https://gist.github.com/JPercivall/f337b8abdc9019cab5ff06cb7f6ff09a

Here I covered the cores of Apache and also discuss each and every core. Virtual host, resistance server process some protocols like HTTP, SMTP, DNS FTP, are also be highlighted. Focus on some installing part of apache.

Apache Kafka is a fast, scalable, and distributed messaging system. It is designed for high throughput systems and can replace traditional message brokers due to its better throughput, built-in partitioning for scalability, replication for fault tolerance, and ability to handle large message processing applications. Kafka uses topics to organize streams of messages, partitions to distribute data, and replicas to provide redundancy and prevent data loss. It supports reliable messaging patterns including point-to-point and publish-subscribe.

This webinar introduces Apache Camel's large range of components for connectivity and protocol support, and how the 50+ patterns create a powerful toolbox that lets you build integration solutions "Lego style". This webinar will introduce you to the Camel community and why it is so important for any serious open source project to have a thriving community. Speaker: Claus Ibsen - Camel PMC member and top committer

Terraform and Pulumi are both infrastructure as code tools but they differ in key ways. Terraform uses HCL syntax and focuses on infrastructure resources while Pulumi uses regular programming languages to define cloud resources and applications together. Pulumi supports more providers but Terraform is easier to use for developers with system administration experience. Both tools use state files to track infrastructure changes but Pulumi state is managed through its CLI and service while Terraform uses local or remote state files.

Part of the Hortonworks YARN Ready Webinar Series, this session is about management of Apache Hadoop and YARN using Apache Ambari. This series targets developers and we will feature a demo on Ambari.

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.

Enterprises today are faced with the decision of determining the right messaging solution for their business. Open source solutions provide good base messaging, and can be seen as a low cost entry point. However, when it comes to the need for scalability and performance, IBM MQ is the leading industry messaging solution for your business.

Apache Camel is eight years old, and some say it's effectiveness as the glue between components has diminished. "Our open source experts say, "Not so!" This is a classic example of older technology not being used to its fullest in favor of the latest and greatest. By walking through little known configuration and optimization tricks to get data flowing reliably and efficiently - even for today's complexity and scale - this session proves that older technology is often still the best solution.

A presentation on how applying Cloud Architecture Patterns using Docker Swarm as orchestrator is possible to create reliable, resilient and scalable FIWARE platforms.

Scalable Messaging is the the need of the enterprise messaging infrastructure. JBossA-MQ is one of the leading products for scalable messaging. It also covers some common concepts beween Apache Active MQ and JBoss A-MQ . Apache Camel as a integration framework supports the enterprise messaging greately and the presentation also contains some of its areas of adjunction to Scalable messaging with queues and topics.

This document discusses message-oriented middleware (MOM). It begins with an introduction to MOM, explaining why it was developed and what it is. Then it covers some common MOM specifications including JMS, AMQP, STOMP, and MQTT. The next section discusses core MOM technologies like transport methods, persistence, and transactions. Advanced features of MOM such as high availability, performance, administration, and plugins are then outlined. Finally, the document briefly introduces alternative messaging technologies like ZeroMQ and cloud messaging before listing references for further information.

1) Mellanox's CloudX platform enhances cloud performance through technologies like its Spectrum switch, ConnectX-4 adapters, and software solutions. 2) These solutions provide high-speed networking, efficient virtual networking through overlay acceleration, and data transfer technologies like RDMA. 3) CloudX reference architectures allow building efficient, high-performance, and scalable IaaS clouds using Mellanox interconnect solutions and off-the-shelf components.

This document provides an overview of WSO2 Message Broker 2.2.0. It introduces the presenters, describes WSO2 as a company and what they deliver. It then explains messaging models like queues and topics. The key highlights of WSO2 MB 2.2.0 include improvements to clustering, the addition of a dead letter channel and flow control capabilities. Example use cases are also presented, such as for asynchronous and reliable messaging.

Presentation by Federico Facca Head of Martel Lab, Martel Innovate FIWARE Tech Summit 28-29 November, 2017 Malaga, Spain

This document provides an overview of MQTT (MQ Telemetry Transport), a publish-subscribe based "light weight" messaging protocol that is well suited for mobile and IoT applications. Some key points: - MQTT was designed for connections with remote locations where bandwidth and battery power are limited, such as with mobile apps and sensor devices. - It uses a small amount of bandwidth compared to traditional HTTP, and allows for bi-directional communication between clients and servers using publish/subscribe messaging. - Features include support for different qualities of service, last will and testament messages, and lightweight implementation on constrained devices. - MQTT has been used successfully in large scale mobile apps like Facebook Messenger due to its

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1. The document discusses using cloud computing for performance testing by provisioning virtual machines and load generation servers in the cloud instead of on-premise servers. 2. Commercial testing products and open-source frameworks like JMeter can be used for cloud-based performance testing, with benefits including lower costs, ability to simulate large-scale loads, and geographic distribution. 3. A case study describes a custom Hailstorm framework built on JMeter that was able to simulate 40,000 concurrent users for a client, providing rapid and cost-effective performance metrics at scale.

This document discusses RabbitMQ, an open source message broker implementation of the Advanced Message Queuing Protocol (AMQP). It provides an overview of AMQP and its key mechanisms including message encoding, flow control, queuing, reliability, and security. RabbitMQ is implemented in Erlang and supports client APIs in several languages including Java. The document describes how to install RabbitMQ, connect to it from a Java client, declare exchanges and queues, publish and receive messages, and use request-response patterns. It also covers message properties, acknowledgements, and reliability concepts in RabbitMQ.

The document introduces OpenMQ, an open source Java Message Service. It discusses OpenMQ concepts like brokers, clients, and messaging models. It outlines OpenMQ features such as connectivity, scaling, administration, security, and clustering. Clustering options provide various levels of availability. The roadmap discusses upcoming releases codenamed Crane and Phoenix. Selected customer architectures are presented, and more information resources are provided.

The document discusses ActiveMQ, an open source message broker. It provides an overview of installing and configuring ActiveMQ, and describes how to use Spring JMS with ActiveMQ for both synchronous and asynchronous messaging. Key ActiveMQ features like persistence, clustering, security, messaging patterns, and consumer options are also summarized.

This document provides an overview of designing a scalable and highly available IBM MQ infrastructure. Key points include: - Using a client/server architecture with MQ deployed separately from applications provides flexibility and allows MQ to be treated as critical infrastructure similar to a database. - Each sender should connect to two queue managers and each receiver should have two listeners concurrently attached to provide redundancy and no single point of failure. - Other topics covered include synchronous request/response, publish/subscribe messaging, limitations for ordered messages, and integrating with IBM Integration Bus. The document emphasizes an active/active design philosophy with minimum two queue managers and discusses workload management strategies for sending and receiving messages across multiple queue managers.

This document provides an overview of connecting applications with Red Hat JBoss A-MQ. It discusses key features of message-oriented middleware including robustness, time and location independence, latency hiding, scalability, and event-driven communication. It describes messaging concepts like message channels, routing with selectors and wildcards, delivery modes, and features of message brokers. The document focuses on Apache ActiveMQ, covering its use, protocols, persistence storage options, high availability, broker networks, and integration with Apache Camel. It discusses use cases for messaging like the Internet of Things and provides an IoT demo overview using Arduino.

Tech bits about Oracle WebLogic Server 12c. Something more recent: https://www.youtube.com/watch?v=sHCTJNRjdcM

The document summarizes an event held to launch the public review of AMQP 1.0, an open internet protocol standard for business messaging. The agenda included introductions to AMQP motivations and use cases, an overview of messaging capabilities, and details on peer-to-peer and organization-to-organization models, security, and management. Breakout sessions allowed attendees to provide feedback. Implementers also presented customer stories to demonstrate AMQP in action. The goal was to get input from outside parties to refine the standard before advancing it to final.

The document summarizes an event introducing the AMQP 1.0 public review. It provides an agenda for presentations on AMQP motivations, capabilities, and requirements. AMQP aims to define an open internet protocol standard for ubiquitous business messaging that is safe, reliable, unified, and interoperable across organizations. The event will include technical details of the AMQP model and demonstrations of implementations from various companies. Attendees are invited to provide feedback to help refine the specification.

Apache Camel journey with Microservices, lessons learned and utilisation of Fabric8 to make Docker, Kubernetes and OpenShift easy for developers to use

Utilising messaging in cloud deployments isn't straightforward, particularly if you want to take advantage of auto scaling. This talk covers the general problems of scaling for cloud deployments, and messaging for faster inter-service communication for Microservices

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.

This document provides an overview of Red Hat JBoss Fuse, an open source integration platform. It discusses the history and components of JBoss Fuse, including Apache Camel, CXF, ActiveMQ, Karaf and Fabric8. It describes how JBoss Fuse can enable integration everywhere in a real-time enterprise by integrating applications, services, devices and partners through its lightweight footprint and deployment options both on-premise and in the cloud. The document also highlights key benefits of JBoss Fuse such as reducing costs, simplifying management and enabling new business opportunities through greater connectivity and data sharing.

FuseSource introduces Fabric Application Bundles (FABs) which make deploying applications in OSGi containers simpler. FABs allow developers to deploy Java applications packaged with Maven dependencies as single deployment units. When installed, FuseSource's Fuse ESB automatically installs all transitive dependencies of a FAB. This provides an easier deployment model than traditional OSGi bundles while still allowing developers to benefit from OSGi features like dynamic updates and versioning when needed. FABs also provide options for configuring shared dependencies across multiple applications to gain code sharing benefits of OSGi.

This document discusses enterprise integration patterns and deployments using Apache ActiveMQ. It provides an overview of key integration concepts like message channels, routing, types of messages, push and pull integration models, request/reply patterns, and job processing. It also covers deployment patterns such as hub and spoke and failover between data centers. Finally, it introduces Apache Camel as a powerful integration framework that supports these patterns and can be used with ActiveMQ.

This document discusses open source software and the Apache Software Foundation (ASF). It provides an overview of the history of open source development including key events and projects. It then describes how individuals and organizations can contribute to Apache projects, the benefits of contributing, and the processes used within the ASF community. The document also explains how FuseSource works with Apache projects, including how FuseSource employees contribute to Apache and how FuseSource packages certified distributions of Apache projects.

Java Servlet programs

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980