Overview for RabbitMQ with AMQP protocol and a discussion for the AMQP model with message properties and publish and consume message
types of exchange
main properties of the queue
Let's learn about :
What is RabbitMQ ?
Why RabbitMQ ?
RabbitMQ vs Kafka ? Which one is suitable for your purpose.
Advantages of RabbitMQ
Support By RabbitMQ
RabbitMQ is one part of Message Broker that implemented Advance Message Queue Protocol (AMQP), that help your application to communicate each other, when you extends your application scale.
Architecture | The Future of Messaging: RabbitMQ and AMQP | Eberhard WolffJAX London
2011-11-02 | 05:45 PM - 06:35 PM
The JMS standard is 9 years old - but outside the Java community innovation is happening. The AMQP standard with implementations like RabbitMQ is gaining more and more traction. This session explains the standard and its advantages. It will also show how an AMQP application can be implemented using Java.
Messaging Standards and Systems - AMQP & RabbitMQAll Things Open
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Gavin Roy
VP of Architecture for AWeber Communications
Back Dev
Messaging Standards and Systems - AMQP & RabbitMQ
Find more by Gavin here: https://speakerdeck.com/gmr
RabbitMQ is an open source message-broker software that originally implemented the Advanced Message Queuing Protocol (AMQP).it accepts and forwards messages.
PPT concetrates on :
1. Introduction to RabbitMQ .
2. Difference between AMQP and JMS
3. Different types of exchanges
4. Routing Key and Binding concept
The session presents in the details the RabbitMQ message broker along with demonstrations using the Java client, the Spring integration for RabbitMQ and the administration tools provided as part of the RabbitMQ installation.
Let's learn about :
What is RabbitMQ ?
Why RabbitMQ ?
RabbitMQ vs Kafka ? Which one is suitable for your purpose.
Advantages of RabbitMQ
Support By RabbitMQ
RabbitMQ is one part of Message Broker that implemented Advance Message Queue Protocol (AMQP), that help your application to communicate each other, when you extends your application scale.
Architecture | The Future of Messaging: RabbitMQ and AMQP | Eberhard WolffJAX London
2011-11-02 | 05:45 PM - 06:35 PM
The JMS standard is 9 years old - but outside the Java community innovation is happening. The AMQP standard with implementations like RabbitMQ is gaining more and more traction. This session explains the standard and its advantages. It will also show how an AMQP application can be implemented using Java.
Messaging Standards and Systems - AMQP & RabbitMQAll Things Open
All Things Open 2014 - Day 1
Wednesday, October 22nd, 2014
Gavin Roy
VP of Architecture for AWeber Communications
Back Dev
Messaging Standards and Systems - AMQP & RabbitMQ
Find more by Gavin here: https://speakerdeck.com/gmr
RabbitMQ is an open source message-broker software that originally implemented the Advanced Message Queuing Protocol (AMQP).it accepts and forwards messages.
PPT concetrates on :
1. Introduction to RabbitMQ .
2. Difference between AMQP and JMS
3. Different types of exchanges
4. Routing Key and Binding concept
The session presents in the details the RabbitMQ message broker along with demonstrations using the Java client, the Spring integration for RabbitMQ and the administration tools provided as part of the RabbitMQ installation.
Easy enterprise application integration with RabbitMQ and AMQPRabbit MQ
VMware vFabric RabbitMQ Technical Webinar December 2010 by VMware engineer Emile Joubert. Covers common integration patterns, and how RabbitMQ makes these easily implemented, using AMQP as a communications mechanism.
You can view a recording of this presentation on YouTube: http://www.youtube.com/user/SpringSourceDev#p/c/5956C6D9EC319817/0/ABGMjX4K0D8
This full detailed presentation on Enterprise message using JMS. This will provide details required from a junior programmer to architect level. Some of the information presented is inspired by some authors from various sources.
IBM MQ and Kafka, what is the difference?David Ware
Message queueing solutions used to be the one general purpose tool used for all asynchronous application patterns, then along came event streaming as an application model. To support this effectively needed a whole new approach to how messages are handled by the messaging technology. Now the tables are turned and many are wondering if an event streaming solution can be used for all their asynchronous application patterns from now on. But just as message queueing solutions work in a way to optimize for their core use cases, so do event streaming solutions, and these behaviors directly affect the applications that use them. This session picks IBM MQ and Kafka to look at how they compare and, more importantly, differ in their behavior so that you can decide which application scenarios are best suited by each. Spoiler -they're both good in their own way!
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
Building an Active-Active IBM MQ Systemmatthew1001
Shows how message availability and service availability can be configured to reduce downtime and improve overall availability of your MQ network. Demonstrates how Uniform Clusters can be used to help keep your service availability high.
Redis and Kafka - Simplifying Advanced Design Patterns within Microservices A...HostedbyConfluent
The adoption and popularity of the microservices architecture continues to grow across a spectrum of enterprises in every industry. Although a consensus on an implementation standard has yet to be reached, advanced design patterns and lessons learned about the complexities and pitfalls of deploying microservices at scale have been established by thought leaders and the development community. With Redis and Kafka becoming de facto standards across most microservices architectures, we will discuss how their combination can be used to simplify the implementation of event-driven design patterns that will provide real-time performance, scalability, resiliency, traceability to ensure compliance, observability, reduced technology sprawl, and scale to thousands of services. In this discussion, we will decompose a real-time event-driven payment-processing microservices workflow to explore capturing telemetry data, event sourcing, CQRS, orchestrated SAGA workflows, inter-service communication, state machines, and more.
Talk given at Typeform for the Barcelona Bug busters meetup.
How to Automate API Testing guides you through a possible API Testing workflow for API Functional Testing exploring different tools and approaches.
RabbitMQ vs Kafka
Messaging is at the core of many architectures and two giants in the messaging space are RabbitMQ and Apache Kafka. In this webinar we'll take a look at RabbitMQ and Kafka within the context of real-time event-driven architectures.
In this session we’re joined by guest speaker Jack Vanlightly who will explore what RabbitMQ and Apache Kafka are and their approach to messaging. Each technology has made very different decisions regarding every aspect of their design, each with strengths and weaknesses, enabling different architectural patterns.
WEBINAR LIVE DATE: Wednesday 23 May 2018 | 17:30 CEST / 16:30 BST / 11:30 EDT / 08:30 PDT
Link to video: https://www.youtube.com/watch?v=sjDnqrnnYNM
———————————————————————
SPEAKER CONTACT DETAILS
JACK VANLIGHTLY - Jack Vanlightly is a software architect based in Barcelona specialising in event-driven architectures, data processing pipelines and data stores both relational and non-relational.
Twitter: https://twitter.com/vanlightly
———————————————————————
COMPANY CONTACT DETAILS
ERLANG SOLUTIONS
- Website: https://www.erlang-solutions.com
- Twitter: https://www.twitter.com/ErlangSolutions
- LinkedIn: http://www.linkedin.com/company/erlan…
- GitHub: https://github.com/esl
NATS is a high performance messaging server and also one of the latest additions to the CNCF. In this talk, we will make a deep dive to the internals of the project covering its design, protocol, clustering implementation, security and authorization features that make it an attractive solution for microservices and low latency applications.
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
Easy enterprise application integration with RabbitMQ and AMQPRabbit MQ
VMware vFabric RabbitMQ Technical Webinar December 2010 by VMware engineer Emile Joubert. Covers common integration patterns, and how RabbitMQ makes these easily implemented, using AMQP as a communications mechanism.
You can view a recording of this presentation on YouTube: http://www.youtube.com/user/SpringSourceDev#p/c/5956C6D9EC319817/0/ABGMjX4K0D8
This full detailed presentation on Enterprise message using JMS. This will provide details required from a junior programmer to architect level. Some of the information presented is inspired by some authors from various sources.
IBM MQ and Kafka, what is the difference?David Ware
Message queueing solutions used to be the one general purpose tool used for all asynchronous application patterns, then along came event streaming as an application model. To support this effectively needed a whole new approach to how messages are handled by the messaging technology. Now the tables are turned and many are wondering if an event streaming solution can be used for all their asynchronous application patterns from now on. But just as message queueing solutions work in a way to optimize for their core use cases, so do event streaming solutions, and these behaviors directly affect the applications that use them. This session picks IBM MQ and Kafka to look at how they compare and, more importantly, differ in their behavior so that you can decide which application scenarios are best suited by each. Spoiler -they're both good in their own way!
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
Building an Active-Active IBM MQ Systemmatthew1001
Shows how message availability and service availability can be configured to reduce downtime and improve overall availability of your MQ network. Demonstrates how Uniform Clusters can be used to help keep your service availability high.
Redis and Kafka - Simplifying Advanced Design Patterns within Microservices A...HostedbyConfluent
The adoption and popularity of the microservices architecture continues to grow across a spectrum of enterprises in every industry. Although a consensus on an implementation standard has yet to be reached, advanced design patterns and lessons learned about the complexities and pitfalls of deploying microservices at scale have been established by thought leaders and the development community. With Redis and Kafka becoming de facto standards across most microservices architectures, we will discuss how their combination can be used to simplify the implementation of event-driven design patterns that will provide real-time performance, scalability, resiliency, traceability to ensure compliance, observability, reduced technology sprawl, and scale to thousands of services. In this discussion, we will decompose a real-time event-driven payment-processing microservices workflow to explore capturing telemetry data, event sourcing, CQRS, orchestrated SAGA workflows, inter-service communication, state machines, and more.
Talk given at Typeform for the Barcelona Bug busters meetup.
How to Automate API Testing guides you through a possible API Testing workflow for API Functional Testing exploring different tools and approaches.
RabbitMQ vs Kafka
Messaging is at the core of many architectures and two giants in the messaging space are RabbitMQ and Apache Kafka. In this webinar we'll take a look at RabbitMQ and Kafka within the context of real-time event-driven architectures.
In this session we’re joined by guest speaker Jack Vanlightly who will explore what RabbitMQ and Apache Kafka are and their approach to messaging. Each technology has made very different decisions regarding every aspect of their design, each with strengths and weaknesses, enabling different architectural patterns.
WEBINAR LIVE DATE: Wednesday 23 May 2018 | 17:30 CEST / 16:30 BST / 11:30 EDT / 08:30 PDT
Link to video: https://www.youtube.com/watch?v=sjDnqrnnYNM
———————————————————————
SPEAKER CONTACT DETAILS
JACK VANLIGHTLY - Jack Vanlightly is a software architect based in Barcelona specialising in event-driven architectures, data processing pipelines and data stores both relational and non-relational.
Twitter: https://twitter.com/vanlightly
———————————————————————
COMPANY CONTACT DETAILS
ERLANG SOLUTIONS
- Website: https://www.erlang-solutions.com
- Twitter: https://www.twitter.com/ErlangSolutions
- LinkedIn: http://www.linkedin.com/company/erlan…
- GitHub: https://github.com/esl
NATS is a high performance messaging server and also one of the latest additions to the CNCF. In this talk, we will make a deep dive to the internals of the project covering its design, protocol, clustering implementation, security and authorization features that make it an attractive solution for microservices and low latency applications.
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
The 100% open source WSO2 Message Broker is a lightweight, easy-to-use, distributed message-brokering server. It features high availability (HA) support with a complete hot-to-hot continuous availability mode, the ability to scale up to several servers in a cluster, and no single point of failure. It is designed to manage persistent messaging and large numbers of queues, subscribers and messages.
Reliable communication is essential for microservice based architectures. One of the most effective patterns for microservices communication is message queue. We'll see how a Rubyist can build scalable microservices using RabbitMQ and run it on the AWS infrastructure in Docker containers.
Internet companies with huge traffic and millions of users have tasks involved that cannot be served in a request. RabbitMQ can process tasks or communication between different app components asynchronously but close to real time.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
4. Message Broker
A message broker is an architectural pattern for message
validation, transformation, and routing. It mediates
communication among applications, minimizing the mutual
awareness that applications should have of each other in order to
be able to exchange messages, effectively implementing
decoupling.
5. Message Broker Actions
• Route messages to one or more destinations
• Transform messages to an alternative representation
• Perform message aggregation, decomposing messages into multiple
messages and sending them to their destination, then recomposing the
responses into one message to return to the user
• Interact with an external repository to augment a message or store it
• Invoke web services to retrieve data
• Respond to events or errors
• Provide content and topic-based message routing using the publish–
subscribe pattern
7. List of message broker software Cont.
• HornetQ (Red Hat)
• IBM Integration Bus
• IBM Message Queues / IBM WebSphere MQ
• JBoss Messaging (JBoss)
• JORAM
• Microsoft Azure Service Bus (Microsoft)
• Microsoft BizTalk Server (Microsoft)
• NATS (MIT Open Source License, written in Go)
• Open Message Queue
8. List of message broker software Cont.
• Oracle Message Broker (Oracle Corporation)
• RabbitMQ (Mozilla Public License, written in Erlang)
• Redis An open source, in-memory data structure store, used as a
database, cache and message broker.
• SAP PI (SAP AG)
• Solace PubSub+
• Spread Toolkit
• Tarantool, a NoSQL database, with a set of stored procedures for message
queues
• TIBCO Enterprise Message Service
• WSO2 Message Broker
10. RabbitMQ
RabbitMQ is an open source message broker written in Erlang,
currently under the wing of Pivotal Software. It’s based around
the AMQP open protocol, with official client libraries in Java,
.NET, Erlang, as well as libraries for most other popular
programming languages.
11. RabbitMQ’s features and benefit
• Open source
• Platform and vendor neutral
• Lightweight
• Client libraries for most modern languages
• Flexibility in controlling messaging trade-offs—
• Plugins for higher-latency environments—
• Third-party plugins
• Layers of security
12. RabbitMQ and Erlang
It was written in Erlang, the telco-grade, functional programming
language designed at the Ericsson Computer Science Laboratory in
the mid-to-late 1980s. Erlang was designed to be a distributed,
fault-tolerant, soft real-time system for applications that require
99.999% uptime. As a language and runtime system, Erlang
focuses on lightweight processes that pass messages between
each other, providing a high level of concurrency with no shared
state.
13. Message-oriented middleware (MOM)
Software or hardware infrastructure that allows for the sending and
receiving of messages from distributed systems. RabbitMQ fills this
role handily with functionality that provides advanced routing and
message distribution, even with wide area network (WAN) tolerances
to support reliable, distributed systems that interconnect with other
systems easily.
19. Message Queuing model
• Exchange—The component of the message broker that routes
messages to queues
• Queue—A data structure on disk or in memory that stores
messages
• Binding—A rule that tells the exchange which queue the messages
should be stored in
23. RabbitMQ Concepts
• Producer: Application that sends the messages.
• Consumer: Application that receives the messages.
• Queue: Buffer that stores messages.
• Message: Data that is sent from the producer to a consumer through RabbitMQ.
• Connection: A connection is a TCP connection between your application and the
RabbitMQ broker.
• Channel: A channel is a virtual connection inside a connection. When you are
publishing or consuming messages or subscribing to a queue, it's all done over a
channel.
24. RabbitMQ Concepts Cont.
• Exchange: Receives messages from producers and pushes them to queues
depending on rules defined by the exchange type. A queue needs to be bound to
at least one exchange to be able to receive messages.
• Binding: A binding is a link between a queue and an exchange.
• Routing key: The routing key is a key that the exchange looks at to decide how
to route the message to queues. You can think of the routing key as the
destination address of a message.
25. RabbitMQ Concepts Cont.
• AMQP: The Advanced Message Queuing Protocol is the primary protocol used by
RabbitMQ for messaging.
• Users: It's possible to connect to RabbitMQ with a given username and password.
Every user can be assigned permissions such as rights to read, write and
configure privileges within the instance. Users can also be assigned permissions
to specific virtual hosts.
• Vhost, virtual host: A virtual host provides a way to segregate applications that
are using the same RabbitMQ instance. Different users can have different access
privileges to different vhosts and queues, and exchanges can be created so that
they only exist in one vhost.
26. RabbitMQ Concepts Cont.
• Acknowledgments and Confirms: Acknowledgments and confirms indicate that
messages have been received or acted upon. Acknowledgments can be used in
both directions; A consumer can indicate to the server that it has
received/processed a message, and the server could report
29. AMQP as an RPC transport
• Kicking off the conversation
• The Client send a protocol header
• The server send Connection.Start command
• The client responds with the Connection.StartOK frame
• Tuning in to the right channel
30. AMQP commands
• AMQP uses classes and methods, referred to as AMQP commands,
to create a common language between clients and servers. The
classes in AMQP define a scope of functionality, and each class
contains methods that perform different tasks.
(Class)Connection.Start(Method)
31. AMQP frame components
• When commands are sent to and from RabbitMQ, all of the
arguments required to execute them are encapsulated in data
structures called frames that encode the data for transmission.
33. AMQP frame components
• Frame type
• Channel number
• Frame size in bytes
• Frame payload
• End-byte marker (ASCII value 206)
Frame Header
34. Types of frames
• The protocol header frame is only used once, when connecting to
RabbitMQ.
• A method frame carries with it the RPC request or response that’s
being sent to or received from RabbitMQ.
• A content header frame contains the size and properties for a
message.
• Body frames contain the content of messages.
• The heartbeat frame is sent to and from RabbitMQ as a check to ensure
that both sides of the connection are available and working properly.
40. 1. The producer publishes a message to an
exchange. When you create the exchange, you
have to specify the type of it. The different
types of exchanges are explained in detail later
on.
2. The exchange receives the message and is now
responsible for the routing of the message. The
exchange looks at different message attributes
and keys depending on the exchange type.
3. In this case, we see two bindings to two different
queues from the exchange. The exchange routes
the message to the correct queue, depending on
its attributes.
4. The messages stay in the queue until a consumer
handles them.
5. The consumer handles the message, thus
removing it from the queue.
The message flow in RabbitMQ
41. Publish-Consumer Steps
• Declaring an exchange
• Declaring a queue
• Binding a queue to an exchange
• Publishing a message to RabbitMQ
• Consuming messages from RabbitMQ
42. Declaring an exchange
• Exchanges are AMQP entities where messages are
sent. Exchanges take a message and route it into
zero or more queues. The routing algorithm used
depends on the exchange type and rules called
bindings. AMQP 0-9-1 brokers provide four exchange
types:
• Direct : delivers messages to queues based on a message
routing key. In a direct exchange, the message is routed to
the queue whose binding key exactly matches the routing
key of the message.
• Fanout : routes messages to all of the queues that are
bound to it.
• Topic : performs a wildcard match between the routing key
and the routing pattern specified in the binding.
• Headers : use the message header attributes to do their
routing.
43. Declaring a queue
• They store messages that are consumed by applications. Queues share some
properties with exchanges, but also have some additional properties:
• Name
• Durable : A durable queue ensures that RabbitMQ never loses the queue
• Message TTL: The time a message published to a queue can live before it's discarded.Auto-
delete
• Auto-expire: The time a queue can be unused before it's automatically deleted.
• Max length: How many (ready) messages a queue can hold before it starts to drop them.
• Max length bytes: The total body size of ready messages a queue can contain before it starts
to
• drop them.
44. Binding a queue to an exchange
• Once the exchange and queue have been created, it’s time to bind
them together.
46. Consuming messages from RabbitMQ
• To consume messages from a queue in RabbitMQ, a
consumer application subscribes to the queue in
RabbitMQ by issuing a Basic.Consume command.
• The server will respond with Basic.ConsumeOk
• The consumer will start receiving messages in the
unsurprising form of Basic.Deliver methods and their
content header and body frame counterparts
52. Property Type For use by Suggested or specified use
content-type short-string Application Specify the type of the message body using mime-types.
content-encoding short-string Application Specify whether your message body is encoded in some special
way, such as zlib, deflate, or Base64.
Message-id/Correlation-id :
enables the message to carry data in the header that uniquely identifies it as it flows through the various
components in a loosely coupled system.
correlation-id short-string Application If the message is in reference to some other message or uniquely
identifiable item, the correlation-id is a good way to indicate
what the message is referencing.
message-id short-string Application A unique identifier such as a UUID that your application can use to
identify the message.
timestamp timestamp Application An epoch or Unix timestamp value that can be used to indicate
when the message was created.
Expiration :
In declaring a queue, you can pass an x-message-ttl argument along with the queue definition.
expiration short-string Application An epoch or Unix timestamp value as a text string that indicates
when the message should expire.
Message Properties
53. Property Type For use by Suggested or specified use
delivery-mode octet RabbitMQ A value of 1 tells RabbitMQ it can keep the message in memory; 2
indicates it should also write it to disk.
app-id short-string Application Useful for defining the application publishing the messages.
user-id short-string Application A free-form string that, if used, RabbitMQ will validate against the
connected user and drop messages if they don’t match.
type short-string Application A text string your application can use to describe the message
type or payload.
reply-to short-string Application Can be used to carry a queu name or the routing key a consumer
should use when replying to a message implementing an RPC
pattern.
headers table Both A free-form key/value table that you can use to add additional
metadata about your message; RabbitMQ can route based upon
this if desired.
priority octet RabbitMQ A property for priority ordering in queues.
Message Properties Cont.
56. balance between high performance and
message safety
• How important is it that messages are guaranteed to be en-queued when published?
• Should a message be returned to a publisher if it can’t be routed?
• If a message can’t be routed, should it be sent somewhere else where it can later be reconciled?
• Is it okay if messages are lost when a RabbitMQ server crashes?
• Should RabbitMQ confirm that it has performed all requested routing and persistence tasks to a
publisher when it processes a new message?
• Should a publisher be able to batch message deliveries and then receive confirmation from
RabbitMQ that all requested routing and persistence tasks have been applied to all of the
messages in the batch?
• If you’re batching the publishing of messages that require confirmation of routing and
persistence, is there a need for true atomic commits to the destination queues for a message?
• Are there acceptable trade-offs in reliable delivery that your publishers can use to achieve
higher performance and message throughput?
• What other aspects of message publishing will impact message throughput and performance?
62. Persisting messages to disk via delivery-mode 2
In addition to delivery-mode of 2, for messages to truly survive a restart of a RabbitMQ broker, your queues must be
declared as durable when they’re created.
delivery-mode: 1
delivery-mode: 2
67. With no-Ack if the socket
buffer is not full and the
rabbitmq can write to it
the rabbitmq will write the
new messages but if the
ack is required the
rabbitmq will not write a
new message until the
consumer send ack
Using no-ack mode for faster throughput
68. Controlling consumer prefetching via quality of service settings
AMQP specifies the basic.qos method
to allow you to limit the number of
unacknowledged messages on a
channel (or connection) when
consuming (aka "prefetch count").
Simple benchmark results for consuming with no QoS set and
different prefetch count values
69. Using transactions with consumers
Transactions don’t work for consumers
with acknowledgments disabled.
Message velocities when using transactions compared to non-
transactional message velocities
72. A consumer can acknowledge, reject, or negatively acknowledge a message. Basic.Nack allows for multiple messages to
be rejected at once, whereas Basic.Reject allows just one message to be rejected at a time.
73. A rejected message can be routed as a dead-letter
message through another exchange.
Dead Letter Exchange
• The message is rejected (basic.reject
or basic.nack) with requeue=false,
• The TTL for the message expires; or
• The queue length limit is exceeded.
If the dead letter exchange is missing
then, the messages will be silently
dropped.
75. Temporary queues
• Automatically deleting queues
• the queue will only delete itself when there are no more consumers
listening to it.
• Allowing only a single consumer
• An exclusive queue will also automatically be deleted when the channel
that the queue was created on is closed
• Automatically expiring queues
• RabbitMQ will delete the queue if it has gone unused for some length of
time.
76. Permanent queues
• Queue durability
• When declaring a queue that should persist across server restarts.
• Auto-expiration of messages in a queue
• The stale data that should be removed after its usefulness has expired
• Maximum length queues
• once the queue messages reaches the maximum size, RabbitMQ will drop
messages from the front of the queue as new messages are added.
77. Queue settings
Argument name Purpose
x-dead-letter-exchange An exchange to which non-requeued rejected messages are routed
x-dead-letter-routing-key An optional routing key for dead-lettered messages
x-expires Queue is removed after the specified number of milliseconds
x-ha-policy When creating HA queues, specifies the mode for enforcing HA
across nodes
x-ha-nodes The nodes that an HA queue is distributed across
x-max-length The maximum message count for a queue
x-message-ttl Message expiration in milliseconds, enforced at the queue level
x-max-priority Enables priority sorting of a queue with a maximum priority value of
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