This document discusses IBM MQ clustering and how it provides availability, scalability, and workload balancing. It describes how to set up a basic two node cluster with full repository queue managers and cluster receiver and sender channels. It then discusses more advanced clustering capabilities like supporting multiple applications and global deployments spanning different regions.
IBM MQ - High Availability and Disaster RecoveryMarkTaylorIBM
IBM MQ provides capabilities to keep data safe and businesses running in the event of failures. This includes solutions for high availability (HA) and disaster recovery (DR) whether running on-premises or in hybrid cloud environments. HA aims to keep systems running through failures while DR focuses on recovering after an HA failure. Key HA technologies in IBM MQ include queue manager clusters, queue sharing groups, multi-instance queue managers, and HA clusters. These solutions provide redundancy to prevent single points of failure and enable fast failover. DR requires replicating data to separate sites which IBM MQ supports through various backup and replication features.
Intro video here - https://youtu.be/MWsoXPFHY5Q
Can you afford an outage? What happens if one occurs? IBM MQ brings you the capabilities to build active-active solutions for continuous availability and to scale out a system horizontally. This presentation shows you how to use MQ to its fullest, stepping away from single queue managers and utilising MQ clusters and the new Uniform Cluster pattern which automatically keeps your applications balanced, no matter what happens.
IBM WebSphere MQ: Managing Workloads, Scaling and Availability with MQ ClustersDavid Ware
IBM WebSphere MQ Clustering can be used to solve many problems, from simplified administration and workload management in an MQ network, to horizontal scalability and continuous availability of messaging applications. This session will show the full range of uses of MQ Clusters to solve real problems, highlighting the underlying technology being used.
This has been superseded by http://www.slideshare.net/DavidWare1/ame-2273-mq-clustering-pdf
IBM MQ: Managing Workloads, Scaling and Availability with MQ ClustersDavid Ware
MQ Clustering can be used to solve many problems, from simplified administration and workload management in an MQ network, to horizontal scalability and continuous availability of messaging applications. This session will show the full range of uses of MQ Clusters to solve real problems, highlighting the underlying technology being used. A basic understanding of IBM MQ clustering would be beneficial.
IBM MQ (formerly known as MQSeries) is a middleware messaging product that allows applications on different platforms to communicate asynchronously by sending and receiving messages. It guarantees message delivery and supports advanced features like triggering actions on message receipt. MQ provides a common API for applications to connect to message queues, publish/consume messages, and ensures delivery across heterogeneous systems. It is widely used to integrate legacy mainframe systems with modern platforms.
High availability of a messaging system is essential. This is especially true for IBM MQ systems which are absolutely critical to the smooth running of many enterprises. IBM MQ Advanced made achieving high availability even easier with Replicated Data Queue Managers. Learn how this and other HA capabilities fits into a system that provides both high availability of the messaging system as a whole and every last piece of critical messaging data that you care about.
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.
Enterprise messaging and IBM MQ is a critical part of any system, this session shows you how MQ is rapidly evolving to meet your needs. Irrespective of your platform or environment, this session introduces many of the updates to MQ in 2019 and 2020, whether that's in administration, building fault tolerant, scalable messaging solutions, or securing your systems.
IBM MQ - High Availability and Disaster RecoveryMarkTaylorIBM
IBM MQ provides capabilities to keep data safe and businesses running in the event of failures. This includes solutions for high availability (HA) and disaster recovery (DR) whether running on-premises or in hybrid cloud environments. HA aims to keep systems running through failures while DR focuses on recovering after an HA failure. Key HA technologies in IBM MQ include queue manager clusters, queue sharing groups, multi-instance queue managers, and HA clusters. These solutions provide redundancy to prevent single points of failure and enable fast failover. DR requires replicating data to separate sites which IBM MQ supports through various backup and replication features.
Intro video here - https://youtu.be/MWsoXPFHY5Q
Can you afford an outage? What happens if one occurs? IBM MQ brings you the capabilities to build active-active solutions for continuous availability and to scale out a system horizontally. This presentation shows you how to use MQ to its fullest, stepping away from single queue managers and utilising MQ clusters and the new Uniform Cluster pattern which automatically keeps your applications balanced, no matter what happens.
IBM WebSphere MQ: Managing Workloads, Scaling and Availability with MQ ClustersDavid Ware
IBM WebSphere MQ Clustering can be used to solve many problems, from simplified administration and workload management in an MQ network, to horizontal scalability and continuous availability of messaging applications. This session will show the full range of uses of MQ Clusters to solve real problems, highlighting the underlying technology being used.
This has been superseded by http://www.slideshare.net/DavidWare1/ame-2273-mq-clustering-pdf
IBM MQ: Managing Workloads, Scaling and Availability with MQ ClustersDavid Ware
MQ Clustering can be used to solve many problems, from simplified administration and workload management in an MQ network, to horizontal scalability and continuous availability of messaging applications. This session will show the full range of uses of MQ Clusters to solve real problems, highlighting the underlying technology being used. A basic understanding of IBM MQ clustering would be beneficial.
IBM MQ (formerly known as MQSeries) is a middleware messaging product that allows applications on different platforms to communicate asynchronously by sending and receiving messages. It guarantees message delivery and supports advanced features like triggering actions on message receipt. MQ provides a common API for applications to connect to message queues, publish/consume messages, and ensures delivery across heterogeneous systems. It is widely used to integrate legacy mainframe systems with modern platforms.
High availability of a messaging system is essential. This is especially true for IBM MQ systems which are absolutely critical to the smooth running of many enterprises. IBM MQ Advanced made achieving high availability even easier with Replicated Data Queue Managers. Learn how this and other HA capabilities fits into a system that provides both high availability of the messaging system as a whole and every last piece of critical messaging data that you care about.
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.
Enterprise messaging and IBM MQ is a critical part of any system, this session shows you how MQ is rapidly evolving to meet your needs. Irrespective of your platform or environment, this session introduces many of the updates to MQ in 2019 and 2020, whether that's in administration, building fault tolerant, scalable messaging solutions, or securing your systems.
WebSphere MQ is messaging and queuing middleware from IBM that allows applications to communicate asynchronously by sending messages to queues. It provides guaranteed message delivery, decoupling of sending and receiving applications, and publish/subscribe capabilities. Programs using the MQ API can connect to queue managers to put and get messages from queues without having direct connections to each other. Messages have properties and data, and can be persistent or non-persistent. Queues store messages and allow parallel access by multiple applications.
Websphere MQ is IBM's middleware for messaging and queuing that allows applications on distributed systems to communicate. It has a consistent API across platforms and current version is 7.0. Previously known as MQSeries, it was rebranded to Websphere MQ in 2002. Messaging involves program-to-program communication between systems using message queues. MQ defines different queue types for specific purposes that applications can use to exchange messages.
IBM MQ - better application performanceMarkTaylorIBM
Presented in Feb 2015 at Interconnect
This presentation is aimed at helping application developers understand how to best use MQ features for higher performance.
This document provides an overview of message-oriented middleware (MOM) and IBM Message Queue (IBM MQ). It defines key MOM concepts like asynchronous communication, loose coupling, point-to-point and publish-subscribe messaging patterns. It also describes transaction handling, message and queue definitions. Additionally, it outlines IBM MQ objects like queue managers, queues, channels and listeners. Finally, it mentions IBM MQ administration tools for command line and graphical interfaces.
RabbitMQ is an open source message-broker software that originally implemented the Advanced Message Queuing Protocol (AMQP).it accepts and forwards messages.
RabbitMQ is an open source message broker that implements the AMQP protocol. It provides various messaging patterns using different exchange types and supports clustering for scalability and high availability. Administration of RabbitMQ includes managing queues, exchanges, bindings and other components. Integrations exist for protocols like STOMP, MQTT and frameworks like Spring, while security features include authentication, authorization, and SSL/TLS encryption.
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!
WebSphere MQ is a middleware tool that facilitates reliable application-to-application communication by sending and receiving messages via messaging queues. It provides a secure transport layer that moves data unchanged in the form of messages between applications across platforms. WebSphere MQ uses APIs to support programming languages like Java, C, COBOL. It differentiates between persistent and non-persistent messages to ensure reliable delivery. The queue manager maintains objects like queues, channels, and listens to ensure message flow.
Compares REST APIs and MQ. Then describes the capabilities of MQ's new built in REST messaging API. Finally covers MQ's support for z/OS Connect EE which is an alternative way of accessing MQ using REST.
A presentation from internal meeting on Message Broker System and RabbitMQ. RabbitMQ is open source message broker software that implements the Advanced Message Queuing Protocol (AMQP).
Kafka with IBM Event Streams - Technical PresentationWinton Winton
IBM Event Streams is a fully supported Apache Kafka distribution with additional capabilities. It provides powerful operations tooling, an award-winning user experience, and support that can be trusted. Deployment options include Event Streams on IBM Cloud, Red Hat OpenShift, and Cloud Pak for Integration. Key features include high availability, easy scaling of the Kafka cluster, rolling upgrades, disaster recovery with geo-replication, and connectors to integrate with various data sources.
IBM Think 2018: IBM MQ High AvailabilityJamie Squibb
An overview of IBM MQ's high availability capabilities, plus a deeper dive in to the new Replicated Data Queue Manager (RDQM) feature that is available in IBM MQ V9.0.4 on Linux.
The document provides an overview of the fundamentals of Websphere MQ including:
- The key MQ objects like messages, queues, channels and how they work
- Basic MQ administration tasks like defining, displaying, altering and deleting MQ objects using MQSC commands
- Hands-on exercises are included to demonstrate programming with MQ and administering MQ objects
This document provides an overview of key concepts in RabbitMQ including asynchronous and reliable message passing, flexible routing using exchanges and queues, and different exchange types like direct, topic, fanout and headers exchanges. It also discusses message acknowledgments, durability, fair dispatch and bindings between exchanges and queues.
An Introduction to the Message Queuing Technology & IBM WebSphere MQRavi Yogesh
This document provides an introduction to message queuing technology and IBM WebSphere MQ. It discusses the basics of message queuing including message and queue structures, persistence, and types. It then describes how message queuing benefits banking applications by enabling asynchronous communication. The document reviews different message queuing implementations and focuses on IBM WebSphere MQ, describing how it handles over 10 billion messages daily supporting over $1 quadrillion in transactions.
The document introduces RabbitMQ, an open source message broker that implements the Advanced Message Queuing Protocol (AMQP). It discusses why AMQP is an open industry standard that is not language dependent and supported by many major companies. It then provides an overview of messaging concepts like queues, exchanges, routing and pub/sub using RabbitMQ examples. It also mentions some advanced features of AMQP like authentication, load balancing and persistent/non-persistent messages. Finally, it provides information on how to get started with RabbitMQ.
Overview - ESBs and IBM Integration BusJuarez Junior
This document provides an overview of enterprise service buses (ESBs) and IBM Integration Bus (IIB). It defines what an ESB is and its main purposes, such as acting as a message broker and performing transformations between services. It also describes IIB specifically, noting it is IBM's product for integration and that it includes components like the integration server, bus web interface, and toolkit. Finally, it mentions there will be a demonstration of the integration console, toolkit, web interface, basic commands, and debugging using the toolkit.
This document introduces AMQP messaging using RabbitMQ as a broker. It explains that AMQP and RabbitMQ allow applications to communicate asynchronously by sending and receiving messages through a broker, providing decoupling, queueing, load balancing and scalability. It provides details on RabbitMQ as an open source AMQP broker developed by Rabbit Technologies and the AMQP Working Group which maintains the AMQP standard.
AME-1934 : Enable Active-Active Messaging Technology to Extend Workload Balan...wangbo626
Session Type : Breakout Session
Date/Time : Thu, 26-Feb, 10:30 AM-11:30 AM
Venue : Mandalay Bay
Room : Surf Ballroom E
Descriptions:
Active-Active is the target model of modern data center, its successfully adoption includes not only the mainframe, but also the heterogeneous and periphery distributed platforms which makes it much complex to implement. Data synchronization is the heart in the various technologies of active-active, which messaging technology been chose in its implementation.
This session gives an overview of active-active technologies on both z and distributed platforms; highlight how does the Active-Active gives the benefits of both high availability and workload balancing, we also discuss China customer cases to implement messaging based active-active.
Hhm 3479 mq clustering and shared queues for high availabilityPete Siddall
we review clustering and shared queue technologies, their differences and synergies, as a foundation for building a highly available messaging service with resilience during both planned and unplanned outages of z Systems components.
WebSphere MQ is messaging and queuing middleware from IBM that allows applications to communicate asynchronously by sending messages to queues. It provides guaranteed message delivery, decoupling of sending and receiving applications, and publish/subscribe capabilities. Programs using the MQ API can connect to queue managers to put and get messages from queues without having direct connections to each other. Messages have properties and data, and can be persistent or non-persistent. Queues store messages and allow parallel access by multiple applications.
Websphere MQ is IBM's middleware for messaging and queuing that allows applications on distributed systems to communicate. It has a consistent API across platforms and current version is 7.0. Previously known as MQSeries, it was rebranded to Websphere MQ in 2002. Messaging involves program-to-program communication between systems using message queues. MQ defines different queue types for specific purposes that applications can use to exchange messages.
IBM MQ - better application performanceMarkTaylorIBM
Presented in Feb 2015 at Interconnect
This presentation is aimed at helping application developers understand how to best use MQ features for higher performance.
This document provides an overview of message-oriented middleware (MOM) and IBM Message Queue (IBM MQ). It defines key MOM concepts like asynchronous communication, loose coupling, point-to-point and publish-subscribe messaging patterns. It also describes transaction handling, message and queue definitions. Additionally, it outlines IBM MQ objects like queue managers, queues, channels and listeners. Finally, it mentions IBM MQ administration tools for command line and graphical interfaces.
RabbitMQ is an open source message-broker software that originally implemented the Advanced Message Queuing Protocol (AMQP).it accepts and forwards messages.
RabbitMQ is an open source message broker that implements the AMQP protocol. It provides various messaging patterns using different exchange types and supports clustering for scalability and high availability. Administration of RabbitMQ includes managing queues, exchanges, bindings and other components. Integrations exist for protocols like STOMP, MQTT and frameworks like Spring, while security features include authentication, authorization, and SSL/TLS encryption.
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!
WebSphere MQ is a middleware tool that facilitates reliable application-to-application communication by sending and receiving messages via messaging queues. It provides a secure transport layer that moves data unchanged in the form of messages between applications across platforms. WebSphere MQ uses APIs to support programming languages like Java, C, COBOL. It differentiates between persistent and non-persistent messages to ensure reliable delivery. The queue manager maintains objects like queues, channels, and listens to ensure message flow.
Compares REST APIs and MQ. Then describes the capabilities of MQ's new built in REST messaging API. Finally covers MQ's support for z/OS Connect EE which is an alternative way of accessing MQ using REST.
A presentation from internal meeting on Message Broker System and RabbitMQ. RabbitMQ is open source message broker software that implements the Advanced Message Queuing Protocol (AMQP).
Kafka with IBM Event Streams - Technical PresentationWinton Winton
IBM Event Streams is a fully supported Apache Kafka distribution with additional capabilities. It provides powerful operations tooling, an award-winning user experience, and support that can be trusted. Deployment options include Event Streams on IBM Cloud, Red Hat OpenShift, and Cloud Pak for Integration. Key features include high availability, easy scaling of the Kafka cluster, rolling upgrades, disaster recovery with geo-replication, and connectors to integrate with various data sources.
IBM Think 2018: IBM MQ High AvailabilityJamie Squibb
An overview of IBM MQ's high availability capabilities, plus a deeper dive in to the new Replicated Data Queue Manager (RDQM) feature that is available in IBM MQ V9.0.4 on Linux.
The document provides an overview of the fundamentals of Websphere MQ including:
- The key MQ objects like messages, queues, channels and how they work
- Basic MQ administration tasks like defining, displaying, altering and deleting MQ objects using MQSC commands
- Hands-on exercises are included to demonstrate programming with MQ and administering MQ objects
This document provides an overview of key concepts in RabbitMQ including asynchronous and reliable message passing, flexible routing using exchanges and queues, and different exchange types like direct, topic, fanout and headers exchanges. It also discusses message acknowledgments, durability, fair dispatch and bindings between exchanges and queues.
An Introduction to the Message Queuing Technology & IBM WebSphere MQRavi Yogesh
This document provides an introduction to message queuing technology and IBM WebSphere MQ. It discusses the basics of message queuing including message and queue structures, persistence, and types. It then describes how message queuing benefits banking applications by enabling asynchronous communication. The document reviews different message queuing implementations and focuses on IBM WebSphere MQ, describing how it handles over 10 billion messages daily supporting over $1 quadrillion in transactions.
The document introduces RabbitMQ, an open source message broker that implements the Advanced Message Queuing Protocol (AMQP). It discusses why AMQP is an open industry standard that is not language dependent and supported by many major companies. It then provides an overview of messaging concepts like queues, exchanges, routing and pub/sub using RabbitMQ examples. It also mentions some advanced features of AMQP like authentication, load balancing and persistent/non-persistent messages. Finally, it provides information on how to get started with RabbitMQ.
Overview - ESBs and IBM Integration BusJuarez Junior
This document provides an overview of enterprise service buses (ESBs) and IBM Integration Bus (IIB). It defines what an ESB is and its main purposes, such as acting as a message broker and performing transformations between services. It also describes IIB specifically, noting it is IBM's product for integration and that it includes components like the integration server, bus web interface, and toolkit. Finally, it mentions there will be a demonstration of the integration console, toolkit, web interface, basic commands, and debugging using the toolkit.
This document introduces AMQP messaging using RabbitMQ as a broker. It explains that AMQP and RabbitMQ allow applications to communicate asynchronously by sending and receiving messages through a broker, providing decoupling, queueing, load balancing and scalability. It provides details on RabbitMQ as an open source AMQP broker developed by Rabbit Technologies and the AMQP Working Group which maintains the AMQP standard.
AME-1934 : Enable Active-Active Messaging Technology to Extend Workload Balan...wangbo626
Session Type : Breakout Session
Date/Time : Thu, 26-Feb, 10:30 AM-11:30 AM
Venue : Mandalay Bay
Room : Surf Ballroom E
Descriptions:
Active-Active is the target model of modern data center, its successfully adoption includes not only the mainframe, but also the heterogeneous and periphery distributed platforms which makes it much complex to implement. Data synchronization is the heart in the various technologies of active-active, which messaging technology been chose in its implementation.
This session gives an overview of active-active technologies on both z and distributed platforms; highlight how does the Active-Active gives the benefits of both high availability and workload balancing, we also discuss China customer cases to implement messaging based active-active.
Hhm 3479 mq clustering and shared queues for high availabilityPete Siddall
we review clustering and shared queue technologies, their differences and synergies, as a foundation for building a highly available messaging service with resilience during both planned and unplanned outages of z Systems components.
IBM IMPACT 2014 - AMC-1882 Building a Scalable & Continuously Available IBM M...Peter Broadhurst
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.
IBM Managing Workload Scalability with MQ ClustersIBM Systems UKI
This document discusses various clustering scenarios for WebSphere MQ, beginning with a simple initial setup and expanding in complexity. It addresses scenarios like workload balancing, high availability during failures, and location dependencies when applications and services are distributed across data centers separated by large distances. Key points covered include using queue aliases, cluster workload priorities, and the AMQSCLM monitoring tool to help direct messages to available instances of services and ensure responses can be routed properly even if client or queue manager failures occur.
Bringing Learnings from Googley Microservices with gRPC - Varun Talwar, GoogleAmbassador Labs
Varun Talwar, product manager on Google's gRPC project discusses the fundamentals and specs of gRPC inside of a Google-scale microservices architecture.
IBM MQ systems route billions of messages around the world each day. This presentation looks at the tools available in MQ for z/OS to allow you to understand where your messages are flowing, and things you can use if the messages aren't going where you expect.
IBM IMPACT 2014 AMC-1866 Introduction to IBM Messaging CapabilitiesPeter Broadhurst
IBM Messaging provides market-leading capabilities for anywhere-to-anywhere integration across mobile, cloud, and enterprise platforms - from the simplest pair of applications requiring basic connectivity and data exchange, to the most complex business process management environments. Come to this session to understand the value and rationale of message/queuing and the IBM Messaging family of products; its key features and functions; and how it can be used to build a secure, flexible, and scalable messaging backbone for a business.
This document discusses learnings from Google's experience with microservices and the Stubby framework. It covers why HTTP/JSON is insufficient, the importance of establishing common protocols and data formats, designing for fault tolerance, collecting service analytics and tracing, and load balancing. It then introduces gRPC as an open source framework that addresses these lessons by providing language-independent service definitions, performance via HTTP/2, pluggable features, and usability across platforms and languages.
HHM-3540: The IBM MQ Light API: From Developer Laptop to Enterprise Data Cen...Matt Leming
The IBM MQ Light API makes it simple for developers to create responsive applications that are easy to scale without having to become messaging experts. Increasingly, development teams choose from a wide variety of languages, so the MQ Light API is available in a range of popular languages such as Ruby and Python, with the syntax tailored to fit naturally in each. The same API can be used with MQ Light installed on a laptop, with enterprise MQ queue managers, or in the cloud with the Message Hub service, so you can move seamlessly between these environments. Come and see how this API can make your developers more productive.
Come join us at the Online Meetup to learn more about MQ Integrations and Circuit Breakers. Help us spread the knowledge of Mule!
A brief agenda:
> Networking and Knowledge sharing.
> MuleSoft Latest Product Release Updates.
> Anypoint Messaging Queue in MuleSoft
> MQ Integrations with Circuit Breaker in MuleSoft
> Demo
> Finally, we will wrap-up this event with the agenda for the next meetup.
Stay connected to get updates on what's new in MuleSoft.
The document discusses in-flux limiting for a multi-tenant logging service. It describes Symantec's logging and metrics architecture using Kafka, Elasticsearch, and InfluxDB. It addresses the issue of ingestion spikes overwhelming InfluxDB and presents a solution to normalize event rates using buffers that allocate ingestion quotas per tenant. The design implements rate limiting using a scheduled task pattern in Storm to track each tenant's event rate over a configurable window and throttle events if the threshold is exceeded.
Matteo Merli, the tech lead for Cloud Messaging Service at Yahoo, went through their design decisions, how they reached that and how they leverage Apache BookKeeper to implement a multi-tenant messaging service.
Connecting Applications Everywhere with ActiveMQRob Davies
This document summarizes a presentation given by Rob Davies at the CamelOne 2013 conference in Boston, MA on June 10-11, 2013. The presentation introduced Apache ActiveMQ, an open-source message broker, and discussed its features including messaging protocols, management tools, high availability, and integration with Apache Camel. It also covered challenges of deploying and maintaining large ActiveMQ clusters and how Red Hat Fuse Fabric can help address these challenges.
KubeCon + CloudNative Con NA 2021 | A New Generation of NATSNATS
This document discusses NATS, an open-source messaging system. It provides an overview of NATS' features including performance, simplicity, security, availability and support for cloud-native applications. It also summarizes the growth of the NATS community and ecosystem. Key features of the latest NATS 2 releases are highlighted such as JetStream for streaming and messaging, subject mapping capabilities and an administrative CLI tool. Finally, the document outlines different architectural patterns supported by NATS including single server, clustered, superclustered and edge-focused deployments.
WebSphere MQ is a middleware tool that facilitates application-to-application communication by sending and receiving messages via messaging queues. It provides a secure and reliable transport layer for moving data in the form of messages between applications across platforms. WebSphere MQ uses APIs that support programming languages like Java, C, COBOL, and Visual Basic. It differentiates between persistent and non-persistent messages, with persistent messages assured delivery even after system failures. WebSphere MQ manages objects like queues, channels, and listeners that applications use to communicate with each other via messaging.
HHM-2833: Where is My Message?: Using IBM MQ Tools to Work Out What Applicati...Matt Leming
Every MQ infrastructure team member has been asked this question, and most developers who have worked with MQ have asked it:
"Where is my message?" In this session, we look into the tools that MQ provides to find your messages.
We demonstrate how to analyze the MQ recovery log on distributed platforms to find out what happened to your persistent messages,
with the assistance of a new tool. We also look at how to trace the route messages take through your MQ infrastructure, and how to generate
and analyze activity reports showing the behavior of MQ applications.
6 Nines: How Stripe keeps Kafka highly-available across the globe with Donny ...HostedbyConfluent
Availability is a key metric for any Kafka deployment, but when every event is critical the system must be centered around keeping publishers and consumers highly available, even when a Kafka cluster goes down. At Stripe our core business relies on Kafka, and as we outgrew a single Kafka cluster we had to build a multi-cluster system which would fit our needs while supporting a target of 99.9999% availability for our most critical use cases.
In this talk we’ll discuss our solution to this problem: an in-house proxy layer and multi-cluster toplogy which we’ve built and operated over the past 3 years. Our proxy layer enables multiple Kafka clusters to work in coordination across the globe, while hitting our ambitious availability targets and providing clean client abstractions.
In this talk we’ll discuss how our Kafka deployment provides: availability for both publishers and consumers in the face of cluster outages, increased security and observability, simplified cluster maintenance, and global routing for constraints such as data locality. We’ll highlight the benefits & tradeoffs of our approach, the design of our proxy layer, Kafka configuration decisions, and where we’re planning to go from here.
Building scalable flexible messaging systems using qpidJack Gibson
PayPal had built a messaging system using Qpid to handle high volumes of payments asynchronously at near real-time latency. They evolved their system to include distinct tiers of brokers partitioned by function and user type to improve scalability. Key lessons included optimizing for message size over latency, externalizing addressing, and using Qpid's management framework to monitor broker health and performance.
IBM MQ High Availabillity and Disaster Recovery (2017 version)MarkTaylorIBM
This document discusses high availability and disaster recovery strategies for IBM MQ. It describes technologies like queue manager clusters, multi-instance queue managers, and HA clusters that can be used to provide high availability when failures occur across datacenters and clouds. Multi-instance queue managers provide basic failover of a queue manager between two systems without an HA cluster. HA clusters coordinate failover of resources like the queue manager, shared storage, and IP address across multiple machines for increased reliability. The IBM MQ Appliance also supports high availability between two appliances.
IBM MQ V9 provides a new optional delivery model with two streams: a long-term support stream for stability and a rapid function delivery stream. It includes features like central provisioning of client configuration, a new quality of service for Advanced Message Security called Confidentiality, and LDAP authorization support for Windows clients. Activity trace information can now be subscribed to via publish/subscribe without additional configuration.
IBM MQ - Monitoring and Managing Hybrid Messaging EnvironmentsMarkTaylorIBM
This presentation was given at Interconnect 2016. It starts by showing the interfaces within MQ for management and monitoring, and then shows how these are used within a cloud environment to control the delivery of a service-based messaging system.
IBM MQ Version 8.0.0.4 includes new features such as message expiry caps, event formatting samples, command and configuration events for security changes, and integration of MQLight. It also improves SSL/TLS configuration verification and provides a relocatable MQ client. Future plans include more frequent delivery of incremental changes.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
A review of new features in IBM's premier messaging product.
After a short look at 2013 updates, it gives an overview of all features of the V8 release. Other presentations go into deeper details on some of these features, but this gives the essential flavour for it all.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
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2. Please Note
IBM’s statements regarding its plans, directions, and intent are subject to
change or withdrawal without notice at IBM’s sole discretion.
Information regarding potential future products is intended to outline our
general product direction and it should not be relied on in making a
purchasing decision.
The information mentioned regarding potential future products is not a
commitment, promise, or legal obligation to deliver any material, code or
functionality. Information about potential future products may not be
incorporated into any contract. The development, release, and timing of
any future features or functionality described for our products remains at
our sole discretion.
Performance is based on measurements and projections using standard
IBM benchmarks in a controlled environment. The actual throughput or
performance that any user will experience will vary depending upon
many factors, including considerations such as the amount of
multiprogramming in the user’s job stream, the I/O configuration, the
storage configuration, and the workload processed. Therefore, no
assurance can be given that an individual user will achieve results similar
to those stated here.
14. FR1
FR2
QMGR1
QMGR2
Two full repository queue
managers
A cluster receiver
channel each
A single cluster sender
each
No need to manage pairs
of channels between
each queue manager
combination or their
transmission queues
No need for remote
queue definitions
So all you needed…
16. But what else do you get with a cluster?
• Workload Balancing
• Service Availability
Service 1
App 1App 1Client 1
Service 1
QMgr
QMgr
QMgr
17. • Target queues
• Transmission queues
Service 1
App 1App 1Client 1
Service 1
QMgr
QMgr
QMgr
Where can the messages get stuck?
Target queue
Transmission queue
18. Service 1
App 1App 1Client 1
Service 1
QMgr
QMgr
QMgr
The service queue manager/host fails
Message reallocation
Unbound messages on the
transmission queue can be
diverted
QMgr
Locked messages
Messages on the failed queue manager
are locked until it is restarted
Restart the queue
manager
Use multi-instance queue
managers or HA clusters to
automatically restart a
queue manager
Reconnect the service
Make sure the service is
restarted/reconnects to the
restarted queue manager
When a queue manager fails:
• Ensure messages are not bound to it
• Restart it to release queued messages
20. QMgr
QMgr
QMgr
• Cluster workload balancing does not take into account the
availability of receiving applications.
• Or a build up of messages.
Service 1
App 1App 1Client 1
Service 1
The service application fails
Blissful ignorance
This queue manager is unaware
of the failure to one of the
service instances
Unserviced messages
Half the messages will quickly
start to build up on the service
queue
21. Service 1
App 1App 1Client 1
Service 1
QMgr
QMgr
QMgr
Monitoring for service failures
22. • MQ provides a sample monitoring service
• Regularly checks for attached consuming applications
• Generally suited to steady state service applications
Service 1
App 1App 1Client 1
Service 1
QMgr
QMgr
QMgr
Monitoring for service failures
QMgr
QMgr
Moving messages
Any messages that slipped
through will be transferred to
an active instance of the queue
Detecting a change
When a change to the open
handles is detected the cluster
workload balancing state is
modified
Sending queue managers
Newly sent messages will be sent to
active instances of the queue
24. • Multiple locations for a client to connect to
•Allows new requests when one queue manager is unavailable.
• Replies can be automatically routed back to the originating queue manager.
Service 1
Client 1
Service 1
QMgr
QMgr
QMgrQMgr
Client availability
26. Global applications
QMgr QMgr
QMgr QMgr
Service Service
Service Service
QMgr
QMgr
App 1App 1Client
QMgr
QMgr
App 1App 1Client
New York
London
• Prefer traffic to stay geographically local
• Except when you have to look further afield
• How do you do this with clusters?
USA
Europe
28. One cluster
QMgr
Service
QMgr
App 1App 1Client
New York
London
• Clients always open AppQ
• Local alias determines the preferred region
• Cluster workload priority is used to target geographically local cluster aliases
• Use of CLWLPRTY enables automatic failover
•CLWLRANK can be used for manual failover
Service
App 1App 1Client
DEF QALIAS(AppQ)
TARGET(NYQ)
DEF QALIAS(NYQ)
TARGET(ReqQ)
CLUSTER(Global)
CLWLPRTY(9)
AppQ NYQ
ReqQ
A A
QMgr
AppQ
A
LonQ
A
QMgr
NYQ
ReqQ
A
LonQ
A
DEF QALIAS(AppQ)
TARGET(LonQ)
DEF QALIAS(LonQ)
TARGET(ReqQ)
CLUSTER(Global)
CLWLPRTY(4)
DEF QALIAS(LonQ)
TARGET(ReqQ)
CLUSTER(Global)
CLWLPRTY(9)
DEF QALIAS(NYQ)
TARGET(ReqQ)
CLUSTER(Global)
CLWLPRTY(4)
29. QMgr QMgr
QMgr QMgr
Service Service
Service Service
QMgr
QMgr
App 1App 1Client
QMgr
QMgr
App 1App 1Client
New York
London
USA
EUROPE
QMgr
QMgr
QMgr
QMgr
The two cluster alternative
• The service queue managers join both geographical clusters
•Each with separate cluster receivers for each cluster, at different cluster priorities. Queues are clustered
in both clusters.
• The client queue managers are in their local cluster only.
31. App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
App 1App 1Client
ServiceService
Real time queries
Big data transfer
Audit events
Multiple types of traffic
• Often an MQ backbone will be used for multiple types of traffic
32. App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
App 1App 1Client
ServiceService
QMgr
QMgr
QMgr
QMgr
QMgr
QMgr
Channels
• Often an MQ backbone will be used for multiple types of traffic
• When using a single cluster and the same queue managers, messages all share
the same channels
• Even multiple cluster receiver channels in the same cluster will not separate out
the different traffic types
Multiple types of traffic
33. App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
ServiceService
App 1App 1Client
App 1App 1Client
ServiceService
QMgr
QMgr
QMgr
QMgr
QMgr
QMgr
Cluster
Cluster
Cluster
Channels
Channels
Channels
• Often an MQ backbone will be used for multiple types of traffic
• When using a single cluster and the same queue managers, messages
all share the same channels
• Even multiple cluster receiver channels in the same cluster will not separate out
the different traffic types
• Multiple overlaid clusters with different channels enable separation
Multiple types of traffic
34. QMgr
QMgrQMgr
Service 1
Client 1
Service 1
QMgr
Service 2
Client 2
• Cluster workload balancing is at the channel level.
• Messages sharing the same channels, but to different target queues will be counted
together.
• The two channels here have an even 50/50 split of messages…
• …but the two instances of Service 1 do not!
• Split Service 1 and Service 2 queues out into separate clusters, queue
managers or customise workload balancing logic.
100
50
75
25
50
• Multiple applications sharing the same
queue managers and the same
cluster channels.
150
Queue 1
75
Queue 1
Queue 2
75
Workload balancing level interference
35. QMgr
Cluster transmit queue
Separation of Message Traffic
With a single transmission queue there is
potential for pending messages for cluster ChannelA to
interfere with messages pending for cluster ChannelB
Management of messages
Use of queue concepts such as MAXDEPTH not useful
when using a single transmission queue for more than one channel.
Monitoring
Tracking the number of messages processed by a cluster channel currently difficult/impossible
using queue.
Performance?
In reality a shared transmission queue is not always the bottleneck, often other solutions to
improving channel throughput (e.g. multiple cluster receiver channels) are really what’s needed.
A much requested feature…
Multiple cluster transmission queues
QMgr
QMgr
QMgr
QMgr
V7.5 V8
Distributed z/OS & IBM i
36. Multiple cluster transmit queues: Automatic
Configured on the sending queue manager, not the owners of the cluster
receiver channel definitions.
Queue Manager switch to automatically create a dynamic transmission queue
per cluster sender channel.
ALTER QMGR DEFCLXQ( CHANNEL )
Dynamic queues based upon model queue.
SYSTEM.CLUSTER.TRANSMIT.MODEL
Well known queue names.
SYSTEM.CLUSTER.TRANSMIT.<CHANNEL-NAME>
QMgr QMgr
QMgr
ChlA
ChlB
SYSTEM.CLUSTER.TRANSMIT.ChlA
SYSTEM.CLUSTER.TRANSMIT.ChlC
SYSTEM.CLUSTER.TRANSMIT.ChlB
ChlA
ChlC
ChlC
ChlB
37. QMgr QMgr
QMgr
Multiple cluster transmit queues: Manual
Still configured on the sending queue manager, not the owners of the cluster
receiver channel definitions.
Administratively define a transmission queue and configure which cluster sender
channels will use this transmission queue.
DEFINE QLOCAL(GREEN.XMITQ) CLCHNAME(GREEN.*) USAGE(XMITQ)
Set a channel name pattern in CLCHNAME
Single/multiple channels (wildcard)
E.g. all channels for a specific cluster
(assuming a suitable channel naming convention!)
Any cluster sender channel not
covered by a manual transmission
queue defaults to the DEFCLXQ
behaviour
Green.A
Pink.B
Pink.A
GREEN.XMITQ Green.A
Pink.A
Pink.B
PINK.XMITQ
38. Summary
Setting up a cluster
Service availability
Location dependency
Avoiding interference
40. Notices and disclaimers continued
Information concerning non-IBM products was obtained from
the suppliers of those products, their
published announcements or other publicly available
sources. IBM has not tested those products in connection with
this publication and cannot confirm the accuracy of
performance, compatibility or any other claims related to non-
IBM products. Questions on the capabilities of non-IBM
products should be addressed to the suppliers of those
products. IBM does not warrant the quality of any third-party
products, or the ability of any such third-party products to
interoperate with IBM’s products. IBM expressly disclaims all
warranties, expressed or implied, including but not limited to,
the implied warranties of merchantability and fitness for a
particular, purpose.
The provision of the information contained herein is not
intended to, and does not, grant any right or license under any
IBM patents, copyrights, trademarks or other intellectual
property right.
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