EnMasse

We can have more … EnMasse !

This morning, my working day started in a different way with an interesting news from AWS re:Invent 2017, the annual Amazon conference …

The news was about Amazon MQ, a new managed message broker service based on ActiveMQ 5.x with all the goodies that it provides in terms of supported protocols like MQTT, JMS, STOMP, … and … yes … AMQP 1.0 !

It seems that this news made Clemens Vaster (from Microsoft) happy as well 🙂

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Finally, even Amazon added support for a “real” messaging protocol which is enterprise ready and from my point of view … even IoT ready 🙂

Taking a look to the blog post about this new service, another project came to my mind … guess what ? EnMasse !

We can have more : EnMasse !

What the AmazonMQ provides is the possibility to create a new broker instance and then accessing to the console, creating queues, topics and so on. It’s great but … we can have more !

For this reason I decided to write, for the first time, something about EnMasse even if I had a lot of sessions in different conferences in the past, speaking about it.

EnMasse is an open source “messaging as a service” platform which simplifies the deployment of a messaging infrastructure both “on premise” and in the Cloud. It provides scalability and elasticity in order to address all the problems we can have when the number of connected clients increases (and decreases) even reaching big numbers like in an IoT scenario.

It supports all the well-known messaging patterns (request/reply, publish/subscribe and competing consumers) and up today two main protocols, AMQP 1.0 and MQTT (but adding the HTTP support is on the road-map).

It provides multi-tenancy having different tenants sharing the same infrastructure but being isolated each other. Finally, it provides security in terms of using TLS protocol for establishing connections (with clients and between internal components) other than authentication using Keycloak as the identity management system.

Store and forward or … direct ?

One of the main features it provides is the support for two different messaging mechanisms, “store and forward” and “direct messaging”.

The “store and forward” mechanism is exactly what the messaging brokers provide today. The broker takes the ownership of the message sent by a producer before forwarding this message to a consumer which is asking for it (connecting to a queue or a topic on the broker itself). It means that “storing” the message is the first step executed by the broker and “forwarding” is the next one which can happen later, only when a consumer will be online for getting the message : it allows asynchronous communication between clients and time decoupling. There is always a double contract between produce-broker and broker-consumer, so that the producer knows that the messages reached the broker but not the consumer (a new messages exchange on the opposite direction is needed for having something like an “acknowledgement” from the consumer).

The “direct messaging” mechanism is not something new because it means having a sort of “direct” communication between clients, so that the producer is able to send the message only when the consumer is online with a single contract between the parties : when the producer receives the “acknowledgement”, it means that the consumer has got the message. Of course, EnMasse provides this mechanism in a reliable way : it uses an AMQP 1.0 routers network (connected in a mesh) so that clients aren’t really connected in a direct way but through this mesh. Every router, unlike a broker, doesn’t take ownership of the message but just forwards it to the next hop in the network in order to reach the destination. When a router crashes, the network is automatically re-configured in order to determine a new path for reaching the consumer; it means that high availability is provided in terms of “path redundancy”. Furthermore, thanks to the AMQP 1.0 protocol, a producer doesn’t receive “credits” from a router to send messages if the consumer isn’t online or can’t process more messages.

EnMasse provides these messaging mechanisms using two open source projects : Apache Qpid Dispatch Router, for the router network, and ActiveMQ Artemis (so ActiveMQ 6.x and not 5.x like in the AmazonMQ) for the brokers side.

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I want to know only about “addresses” !

Comparing to the new AmazonMQ service, from a developers point of view, the interesting part is the abstraction layer that EnMasse adds to the underlying messaging infrastructure. You can create a new “address” using the console and specifying a type which can be :

  • queue : backed by a broker, for “store and forward” and for providing competing consumer pattern, asynchronous communication and so on.
  • topic : backed by a broker, for “store and forward” as well but for providing publish/subscribe pattern.
  • anycast : it’s something like a queue but in terms of “direct messaging”. A producer can send messages to such an address only when one or more consumers are listening on it and the routers network will deliver them in a competing consumer fashion.
  • multicast : it’s something like a topic but in terms of “direct messaging”, having a producer publishing messages to more consumers listening on the same address so that all of them receive the same message.

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The developer doesn’t have to worry about creating the broker, configuring the routers and so on; using the console and a few simple steps in the wizard, he will have a usable “address” for exchanging messages between clients.

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Good for microservices …

The interesting part of having the supported “direct messaging” mechanism is even, but not only, about the “micro-services” world. EnMasse can be used as a messaging infrastructure for handing request/reply and publish/subscribe between micro-services using an enterprise protocol like AMQP 1.0.

You can read more about building an AMQP 1.0 based API and a micro-services infrastructure in this article written by on of my colleague, Jakub Scholz.

Who orchestrate ? OpenShift and Kubernetes

Another aspect which makes EnMasse more appealing than other solutions is that it’s totally containerized and runs on the main containers orchestration platforms like Kubernetes and the enterprise OpenShift (using the OpenShift Origin project as well). It means that your messaging based (or IoT) solution can be deployed “on promise” and then easily moved to the Cloud without any changes to your applications (maybe just the addresses for establishing the connections from the clients).

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Conclusion

Of course, this blog post didn’t mean to be an exhaustive guide on what EnMasse is but just a brief introduction that I wanted to write for a long time. The Amazon news gave me this opportunity for showing you that you can really have more than just creating a broker in the Cloud and taking care of it 🙂

 

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EnMasse and Eclipse Hono ? Messaging and IoT ? I have some events for you !

 

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Do you want to learn more about the EnMasse project ?

Do you want to learn the same for the Eclipse Hono project ?

Do you want to know more about their relationship and how they simplify the development and deployment of messaging and IoT solutions ?

Well … in the coming weeks my agenda will be packed of events about them. Let’s see !

Eclipse Day Milan 2017

On September 22nd there will be the Eclipse Day Milan 2017 and I’ll be there with the “Eclipse Hono : Connect. Command. Control.” session. What will you see there ?

The open source counterpart to closed and proprietary IoT solutions is called Hono ! Born out of the collaboration of big companies, including Red Hat and Bosch both members of the Eclipse Foundation, Hono is an open source framework which aims to add features, such as device management and authentication, on top of an highly scalable messaging infrastructure in order to guarantee secured data exchange between devices and cloud applications. Using its APIs, devices can send data (telemetry and event) and can be controlled remotely (command/control). During this session we will see the “bricks” that make its architecture, the exposed APIs and the integration with other solutions.

There will be a lot of other great sessions focused on the Eclipse Foundation ecosystem so I think that it will be a really awesome event !

Eclipse IoT Virtual meetup

The Eclipse Foundation hosts a lot of virtual meetups on IoT projects which are part of the foundation itself. Of course, Eclipse Hono is one of them !

On October 11st, I and Kai Hudalla (from Bosch Software Innovations) will have this meetup. We hope to reach a really huge “online” audience in order to show how Hono is a really powerful platform for connecting and control IoT devices at scale.

It will be simpler for you to be there … just take a seat at home !

JavaSI

On October 16th – 17th there will be the JavaSI conference organized by SIOUG.

I and my awesome team mate Ulf Lilleengen will be there with a session and a workshop.

First of all the “EnMasse : open sourcing the messaging and IoT” session as an introduction to the workshop.

Out there there are a lot of “closed” source products for developing messaging and IoT based solutions. What if you want to have more control on your platform ? EnMasse is the answer!

It’s a totally “open” source messaging-as-a-service platform which can be deployed on-premise, in the cloud or even in an hybrid scenario. At the same time it aims to be highly scalable in terms of throughput and the number of connections, based on standard protocols like AMQP 1.0 and MQTT and provides different patterns for messages exchange. Its nature makes EnMasse a great solution for IoT deployments in order to handle millions of connected devices for ingesting telemetry data and controlling them.

Then the “EnMasse – messaging and IoT in your hands” workshop speaking about the EnMasse project and how it’s really great for building messaging and IoT solutions.

Interested in messaging and IoT ? Kubernetes and OpenShift? In this workshop, we will dive into EnMasse, an open source Messaging-as-a-Service platform, built on top of Kubernetes and OpenShift. You will setup OpenShift or Kubernetes, deploy EnMasse, and build an end-2-end solution with edge devices, messaging, and analytics.

You will learn basic Kubernetes and OpenShift concepts as we go, and learn how you can use EnMasse to implement different messaging patterns in your application.

During this workshop you will touch messaging and IoT stuff with your hands !

A lot of fun with … AMQP, Spark, Kafka, EnMasse, MQTT, Vert.x & IoT

When I say to someone that I work for Red Hat they say me “Ah ! Are you working on Linux ?” … No, no, no and … no ! I’m not a Linux guy, I’m not a fan boy but I’m just a daily user 🙂

All people know that Red Hat is THE company which provides the best enterprise Linux distribution well known as Red Hat Enterprise Linux (RHEL) but Red Hat is not only Linux today. Its portfolio is huge : the cloud and containers business with the OpenShift effort, the microservices offer with Vert.x, Wildfly Swarm, Spring Boot, the IoT world with the involvement in the main Eclipse Foundation projects.

The objective of this blog is just showing briefly the projects I worked (or I’m working) on since last year when I was hired on March 1st. They are not “my” projects, they are projects I’m involved because the entire team is working on them … collaboration, you know 🙂

You could be surprised about that but … there is no Linux ! I’m on the messaging & IoT team, so you will see only projects about this stuff 🙂

AMQP – Apache Spark connector

This “little” component is strictly related to the “big” radanalytics.io project which takes the powerful of Apache Spark for analytics (batch, real-time, machine learning, …) running on OpenShift.

Because the messaging team works mainly on projects like ActiveMQ Artemis and the Qpid Dispatch Router, where the main protocol is AMQP 1.0, the idea was developing a connector for Spark Streaming in order to ingest data through this protocol so from queues/topics on a broker or through the router in a direct messaging fashion.

You can find the component here and even an IoT demo here which shows how it’s possible to ingest data through AMQP 1.0 using the EnMasse project (see below) and then executing a real time streaming analytics with Spark Streaming, all running on Kubernetes and OpenShift.

AMQP – Apache Kafka bridge

Apache Kafka is one of the best technologies used today for ingesting data (i.e. IoT related scenarios) with an high throughput. Even in this case, the idea was providing a way for having AMQP 1.0 clients and JMS clients pushing messages to Apache Kafka topics without knowing the related custom protocol.

In this way, if you have such clients because you are already using a broker technology but then you need some specific Kafka features (i.e. re-reading streams), you can just switch the messaging system (from the broker to Kafka) and using the bridge you don’t need to update or modify clients. I showed how this is possible at the Red Hat summit as well and the related demo is available here.

MQTT on EnMasse

EnMasse is an open source messaging platform, with focus on scalability and performance. It can run on your own infrastructure (on premise) or in the cloud, and simplifies the deployment of messaging infrastructure.

It’s based on other open source projects like ActiveMQ Artemis and Qpid Dispatch Router supporting the AMQP 1.0 protocol natively.

In order to provide support for the MQTT protocol, we designed how to take “MQTT over AMQP” so having MQTT features on the AMQP protocol. From the design we moved to develop two main components :

  • the MQTT gateway which handles connections with remote MQTT clients translating all messages from MQTT to AMQP and vice versa;
  • the MQTT LWT (Last and Will Testament) service which provides a way for notifying all clients connected to EnMasse that another client is suddenly died sending them its “will message”. The great thing about this service, is that it works with pure AMQP 1.0 clients so bringing the LWT feature on AMQP as well : for this reason the team is thinking to change its name just in AMQP LWT service.

EnMasse is great for IoT scenarios in order to handle a huge number of connections and ingesting a lot of data using AMQP and MQTT as protocols. I used it in all my IoT demos for showing how it’s possible to integrate it with streaming and analytics frameworks. It’s also the main choice as messaging infrastructure in the cloud for the Eclipse Hono project.

Vert.x and the IoT components

Vert.x is a great toolkit for developing reactive applications running on a JVM.

The reactive applications manifesto fits really well for IoT scenarios where responsiveness, resiliency, elasticity and the communication driven by messages are the pillars of all the IoT solutions.

Starting to work on the MQTT gateway for EnMasse using Vert.x for that, I decided to develop an MQTT server that was just able to handle communication with remote clients providing an API for interacting with them : this component was used for bridging MQTT to AMQP (in EnMasse) but can be used for any scenario where a sort of protocol translation or integration is needed (i.e. MQTT to Vert.x Event Bus, to Kafka, …). Pay attention, it’s not a full broker !

The other component was the Apache Kafka client, mainly developed by Julien Viet (lead on Vert.x) and then passed to me as maintainer for improving it and adding new features from the first release.

Finally, thanks to the Google Summer of Code, during the last 2 months I have been mentoring a student who is working on developing a Vert.x native MQTT client.

As you can see the Vert.x toolkit is really growing from an IoT perspective other then providing a lot of components useful for developing pure microservices based solutions.

Eclipse Hono

Eclipse Hono is a project under the big Eclipse IoT umbrealla in the Eclipse Foundation. It provides a service interfaces for connecting large numbers of IoT devices to a back end and interacting with them in a uniform way regardless of the device communication protocol.

It supports scalable and secure ingestion of large volumes of sensor data by means of its Telemetry API. The Command & Control API allows for sending commands (request messages) to devices and receive a reply to such a command from a device asynchronously in a reliable way.

This project is mainly developed by Red Hat and Bosch and I gave my support on designing all the API other then implementing the MQTT adapter even in this case using the Vert.x MQTT server component.

Because Eclipse Hono works on top of a messaging infrastructure for allowing messages exchange, the main choice was using ActiveMQ Artemis and the Qpid Dispatch Router even running them using Kubernetes and OpenShift with EnMasse.

Apache Kafka

Finally, I was involved to develop a POC named “barnabas” (a messenger character from a Frank Kafka novel :-)) in order to take Apache Kafka running on OpenShift.

Considering the stetaful nature of a project like Kafka, I started when Kubernetes didn’t offer the StatefulSets feature doing something similar by myself. Today, the available deploy is based on StatefulSets and it’s a work in progress on which I’ll continue to work for pushing the POC to the next level.

Apache Kafka is a really great project which has its own use cases in the messaging world; today it’s more powerful thanks to the new Streams API which allows to execute a real time streaming analytics using topics from your cluster and running simple applications. My next step is to move my EnMasse + Spark demo to an EnMasse + Kafka (and streaming) deployment. I’m also giving my support on the Apache Kafka code.

Conclusion

The variety and heterogeneity of all the above projects is giving me a lot of fun in my day by day work even collaborating with different people with different knowledge. I like learning new stuff and the great thing is that … things to learn are endless ! 🙂