Best MQTT Broker for IoT / IIoT Application Development

Best MQTT Broker for IoT / IIoT Application Development

The number of devices getting connected to the internet day over day is increasing astoundingly. Forbes estimate, by 2020, more than 34 billion devices will be online. MQTT is getting a huge adoption across industry and personal connectivity.  Hence, this mandates a need for a more powerful and highly extendable and best MQTT Broker for managing your devices. Bevywise MQTT Broker is a lightweight middleware that can help you work on your core business challenge and leave the data collection to the tool. Here we have listed some important criteria which makes Bevywise MQTT Broker standalone to be the best in the market.

Perfectly compliance with MQTT

Every MQTT Solution should support MQTT specification managed by OASIS MQTT Technical Committee. It should cent percent compliance with the MQTT standard specification. For more information, you can glean from the MQTT.org site.

 Bevywise MQTT Broker in that case, is built according to the  MQTT 3.1 and MQTT 3.1.1 version specifications. It connects any device and system reliably and securely via the standard MQTT messaging protocol. Beyond this MQTT 5 is also available. Initially it is available in hosted MQTT Broker version.

Faster Throughput MQTT Broker

Fast and reliable message delivery / M2M connectivity is important for all IoT Applications.

Hence, we cautiously built the broker to get the best of both worlds. Therefore, We built the core engine on C and can give you the fastest throughput. The broker can read at a rate of 3 MB per second. For example, A typical deployment where devices send 50 bytes of data, the broker can handle 55,000 to 60,000 messages per second.

Data Analytics Integration

Enterprise / OEMs use a large number sensor to monitor and analyze their devices & product performance. One Size doesn’t fit all. This is true for every enterprise & OEMs going to implement IoT. As IOT is a diversified implementation, we allow users to store data into any of their engines as needed. You can process the data  by them before they send it to the storage. Some of the custom store implementation done by our customers.

You can use the custom store for the integration of the data received with any application. One of our customers has integrated the Broker with the softlab24 using the customer store. In addition, the new additional hooks will help you flexibly integrate your IoT data into any of the analytics for perfect visualization and data analysis.

We can provide a more customized integration of the MQTT Broker.  We would be happy to add your integration story here. Let us talk

Monitor & Create Custom Alarms

To Err is Human is the ultimate reason, why human invented machines. On the other hand, A continuous process industry, health care, logistics, National security and other mission-critical operations needs 24 X 7 monitoring. We built MQTTRoute with a Rule engine which helps administrators create event based rules for the sensor data. With this admins can easily create an alert message and send the message to a specific subscriber or web application. This help user from wasting human power and money.

MQTT Communication Security

With rapid increase IoT device connection to internet, many IoT bots or malicious data will crash the device and steal or know your data from via crashed device. Bevywise MQTT Broker has the most powerful and flexible security options. Enable TLS / SSL communication between your edge device & the MQTT Broker for a secure data flow. You can also create individual and highly secure authentication keys for each of your devices and make sure no one can intrude into the system. A custom auth plugin is available to integrate IAM (Identity Access Management) & SSO (Single sign on) for central management and control login access of users.

Best  MQTT Broker Dashboard

IoT application needs a 360 overview of device status and the real time data monitoring for decision-making and analysis.  An overall summary dashboard gives the complete real-time overview and general status of the system.

Hence, MQTTRoute is much more than a middleware. It provides an option to view the list of devices connected right now and dig deeper into each device by messages, subscriptions, etc.  You can use the User interface to send a device management command to any of the devices. Administrators will be able to add Authentication keys from the user Interface dynamically without a Broker restart. Users can easily change the broker to their language via localization support. The MQTT Broker UI is also built with a dynamic update of the data from the server without a refresh for better monitoring of devices. Choosing the best MQTT Broker will mostly rely on the customizable dashboards which is the key for application output. Hence, Bevywise MQTT Broker provides option to customize UI with python hooks to integrate widgets based on Industrial / Business needs. You will be able to design your own UI to make it flexible for your industry.

With the latest update, we have added the support of creating multiple dashboard along with some built-in widgets from user interface itself.

High availability support

MQTT Broker should not fail as it is a necessary part of any IoT Application’s messaging framework. Failures can occur due to poor network connectivity, software and hardware component failures & more. Hence, Messaging services should be functionally available to ensure that they are up and running always. That’s why High availability MQTT Cluster is crucial for any IoT deployments.

Bevywise MQTT Broker is one such middleware which has cluster capability with High Availability server that will not fail and ensure that they are highly available.

Read this article to set up high availability MQTT Cluster with the MQTT Broker.

REST API Integration

In spite of MQTT being a powerful Communication protocol, we should not use them for building manager application integration. Refer to the best practices why MQTT is not the right choice for the manager application. MQTT Broker comes with a rich set of REST APIs which can be used for integration of your manager and also for building mobile applications over MQTT Broker.

Run anywhere

MQTTRoute can be run on Windows 7  &  10 Desktop and Windows Server 2012 & 2016, Ubuntu, Redhat, Raspberry Pi & Mac OS. You can run Broker on premise, private cloud and public cloud as needed. The server application can be run as a windows service or can be run using MMonit, docker / Kubernettes or using OS Service rules.

Faster Development Cycle

The framework has been added with multiple hooks so that we will be able to build application much faster. You will be able to add your AI / ML code and also customize widgets as needed. In one of our hackathon event, we were able to build IoT Application in a day using MQTT Broker.

With the powerful key functionalities & hooks, MQTTRoute can be the best choice as a MQTT Broker to build & manage your IoT Applications.

A recent deeper analysis of MQTT Brokers in the market by University of Szeged, unveiled that Bevywise MQTTRoute stands second along with Mosquitto on the message processing performance. MQTTRoute defeats all prime MQTT Brokers such as HiveMQ, ActiveMQ with its message processing capabilities and better latency. Check out the comparative study now!

I believe this article will help you choose the best MQTT Broker. MQTT Broker App is now available with the new MQTT Broker version 3.3. You can control & manage MQTT devices using android with mobile app. Get Started with your IOT Implementation by downloading the FREE MQTT Broker now.

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Feel free to contact support for a free consultation.

 

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MQTT Broker integration using REST API

MQTT Broker integration using REST API

In today’s world, the enterprise application system is incomplete without providing a way to integrate with other systems. Ergo,MQTT Broker integration with your application is very crucial for any process / production management application in Industrial and Customer implementation. To make such implementation feasible, MQTTRoute supports many integrations which include Relational DB, Data storage, Queue integration, Application integration, Social integration & finally Application/Mobile integration using REST APIs. Bevywise MQTT broker, MQTT protocol based publish subscribe model was built with options to store data into any back end data storage via the custom data store. You can visualize the data by storing the data into the storage. In addition, You can use the ready to use plugin to store data to Elastic and MongoDB. In addition to this, our recent update on MQTT Broker comes up with an extension to store the data in any of the big data engine for powerful analysis & Data hooks for any custom integration.

We are still working hard to make the MQTT Broker work more seamlessly with any of your application. Hence, we support the availability of APIs in our MQTT Broker with some additional interactions through which your IoT Application can manage your edge devices via the MQTT Broker.

Need of REST API Integration

In the digital world, the huge number of cloud / mobile applications & IoT devices keep on rising and hence the businesses are trying to find a beneficial use for these emerging sources. Any how, the biggest challenge lies in integrating these applications with other business operation systems to bring together into a unified whole which can be easily shared within one’s businesses. This is where REST APIs comes in, which permits the interaction between applications & servers to boost the product functional capability & getting data where & when they need it, creating an overall well-connected eco-system.

For example, in order to manage & control business / enterprise assets some organizations make a choice of cloud-based systems. Earlier, Business measures which have been stored within an existing organization are now locked behind such a third-party applications and web interfaces. Business’s need this information to make data-driven decisions, and APIs make that possible. APIs will break down the data access by defining the interactive commands for the application systems. Furthermore, APIs can also be used in the third-party integration tools to call for the data. They can be integrated with other application systems to process business inquiries.

MQTT Broker integration with REST API:

While building an IoT application, there is a need to control and manage the edge devices from the manager application. REST API will help you control your edge devices via the MQTT Broker with API request. It allows you to query MQTT clients, sessions, send messages, add new authentication keys. You can also query and monitor the connected devices.

We have carefully selected the most useful communication that is needed between any application and its broker to provide you the best management experience/functionality. The following are the list of interactions available now

  1. Send a message to any specific device.
  2. Send a message to all devices based on a subscription.
  3. Add a MQTT Device Authentication username and password dynamically from your application.
  4. Remove a MQTT Device Authentication String from the MQTT Broker
  5. Get the list of active devices connected right now to the MQTT Broker.
  6. Get the count of clients connected

For more details on the API, refer to the  MQTT Broker API page 

One of our customers, FAB Controls is an IoT solution provider in the United Kingdom who provides IoT solutions to the lighting and energy industries. EmMonIT is their elite solution for emergency lighting control. Their emergency lighting control device is efficacious in monitoring lighting steadily to set the seal on operating successfully. MQTTRoute plays an indispensable role in their emergency monitoring solution. MQTTRoute acts a central broker in this client server model and therefore it collects data from lighting control devices and pushes it to Google pubsub to create simple and real-time visualization of data. Besides this, as MQTTRoute supports REST APIs, the lighting control devices can be controlled & monitored from the manager application. This provides a virtual foolproof emergency lighting by enabling them to constantly check the status of emergency lighting anywhere at anytime.

Unsolicited Messages:

MQTT Broker now supports sending of Unsolicited messages to the Edge Device. Yes, you read it right. You can now send and receive data / messages to any specific device for a topic for which the client is not already subscribed to. This is an enhancement to support device development platforms like Telit.  Send the REST API calls to /clientsend with the target device, topic provided by the device for receiving unsolicited messages, message, QoS and Retain as required.

We have also added an advanced custom implementation inside the /lib folder of the product to send the data received into your Python class file to process it in a better way.

Try the fastest MQTT Broker now for FREE and get started by connecting any standard client or download it from clients library. Also, MQTTRoute App is now available on play store to monitor devices using your android phone.

Also, try forever FREE MQTTRoute on AWS to get your IoT implementation ready in your budget.

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Impact of Downtime in Manufacturing

Impact of Downtime in Manufacturing

In any business and production process, the saying “Time is Money” holds true. Every second that a machine is running earns money in the manufacturing industry. The longer it takes to develop raw materials into finished goods, the more money it costs to get them out. What will happen if your machines are left idle for an extended period of time? There is a possibility that revenue will be lost. Downtime refers to the duration of an unplanned or unexpected outage. The Ignition OEE Downtime Module enables manufacturers to identify problem areas in a production line or across an entire business. This extensive understanding into the topic of downtime, its impact on the production process, and ways to minimise it.

Actual Cost of Manufacturing Downtime

Downtime is something that no industry likes to deal with. Every industry in the world is living in a nightmare. According to one estimate, practically every industry loses 5 to 20% of its production due to downtime, with the expenses being outrageous. Machine failures can bring production to a halt and cost a company millions of dollars. This surprising statistic demonstrates the high cost of downtime. As a result, every industrial industry must consider the financial cost of downtime. Unplanned outages can cost a lot of money and have a major impact on the industry’s bottom line. It is not an option to ignore the expense of downtime, and limiting downtime is critical to a company’s bottom line. To meet financial objectives and maintain a healthy bottom line, it’s important to understand the true cost of downtime and how to minimize it.

Why do Machines Sit idle?

Tool failures, machine faults, process failures, unplanned stoppage, and other factors can all contribute to downtime. While most people associate downtime with breakdowns, it is actually an unplanned event that has a significant impact on your production process. Excessive changeovers, a lack of operators, and unplanned machine repairs are all examples of unplanned downtime. To deal with it, you must first understand each downtime and how it affects your industry’s revenue.

How to Calculate Downtime for Equipment:

Because this term can refer to any event that causes a halt in manufacturing, it’s critical for a company to first determine what kind of downtime they want to calculate. Assume a factory is experiencing some issues with machines failing. They’ve determined that this is the majority of their downtime, making it the most important type of downtime to track. One method for calculating the cost of equipment downtime is to consider the revenue lost during downtime periods. We can do this by comparing the number of products produced in a given time period (per hour) to the amount of money made from each product. Then we compare these figures to the amount of downtime that has occurred.

According to this equation, if we produce 20 units per hour and profit $100.00 per unit, each hour is worth $1000. If we have 4 hours of downtime, we have lost $4,000.00 in just those 4 hours. Consider how much revenue can be lost if the downtime is longer or the product is more profitable. It’s easy to see why this is so critical to track down and fix as soon as possible.

Tracking Manufacturing Downtime

You can prevent and control excessive loss by tracking how, when, and where downtime happens. Only when downtime is measured carefully and thoughtfully can an early start toward minimising it be taken. The typical method of obtaining data, which includes operators manually recording downtime on log sheets, usually misses downtime incidents. As a result, adopting comprehensive monitoring software that provides a real-time view of the shop floor will provide considerable data on downtime situations. OEE DPR, the powerful software for measuring manufacturing OEE, will give a clear view of your production line and help you detect inefficiencies, determine bottlenecks, maintenance concerns, and other downtime-causing events. Recording downtime and determining the cause will drastically decrease production issues and increase the rate of production. Reducing the amount of time that people or machines sit idle will improve the bottom line of the company. Take a look at the suggestions below for reducing manufacturing downtime.

  • Regularly provide safety training to limit the risk of dangerous user errors.

  • Make a dependable preventive maintenance schedule.

  • Establish a routine for inspecting critical equipment.

  • Keep track of equipment lifespan to determine when it’s time to upgrade.

Analysing the data

The availability of a system concerns unplanned downtime and breakdown losses. As a result, evaluating OEE is a critical factor in eliminating production losses and gaining a better understanding of production. However, simply monitoring OEE and gathering statistics would not help you increase your output. It is critical to develop a strategic enrolling plan based on the acquired data in order to reduce downtime. OEE DPR will help you in analysing the data, determining the cause of downtime, and determining how the information acquired can be used to improve predictive maintenance.

The metric that does not correlate with machine data will not provide you an accurate view of your production loss. The real-time data view of what’s happening on the manufacturing line will give the downtime events in context. As a result, OEE DPR will allow manufacturers to move away from production difficulties and toward a more efficient manufacturing process. As a result, OEE DPR will allow manufacturers to move away from production difficulties and towards a more data-driven business model.

We will be happy to discuss about your requirements at your shop floor to help you reduce downtime & improve your productivity.

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You can also write to us via support for any queries.

IoT Simulator 2.0 Release

IoT Simulator 2.0 Release

Security is one of the major concerns of the IoT Manager applications. Keeping this in mind, we built the manager applications with different level of security. IoT Network Simulator is enhanced to support all manager applications based on their security practices. Similar to the previous version, the simulator supports all its options from the user interface itself.

IoT Network simulator for AWS IoT core / Azure IoT hub

The User interface will provide options based on the IoT applications. For example Azure IoT hub supports SAS Token and Certificate based authentication. Users will be able to create a specific network for the Azure IoT core and able to create devices that handshakes with the IoT hub based on the details specified when configuring the device. Similarly, this is possible for the AWS IOT as well.

Simulating IoT Network for Other Manager applications

For all other manager applications like Bevywise IoT Platform, Losant , and others, you will be able to specify a single certificate at the common settings page and get your devices connected to the manager application.

Device level SSL Security

Azure IoT / AWS IoT manages every device to have an unique certificate. In addition, IoT Network simulator supports configuration of the root Certificate in the settings window and ensures that you specify each and every client certificate in the device configuration screen. The WILL , QoS , retain , event messages and command messages configuration are the same as before.

Individual Device IP Address

Simulator runs on a single machine and simulates all its devices. But, The manager will be seeing all the devices from one Host (IP Address). This contradicts the realtime Simulation. In order to overcome this, the 2.0 version has added support for using Virtual IP Address. By this functionality, each simulated device will connect to the manager application from different host Address.

Try the new IoT Simulator 2.0 now

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Industrial IoT Gateway – Early Access

Industrial IoT Gateway – Early Access

We are happy to announce a preview release of the Industrial IoT Gateway. This version collects data  from the industrial machines / equipment that supports Modbus protocol for interfacing. In addition, We designed  gateway  in such a way to pull data out of the machines and convert them into MQTT.  Besides that,  Bevywise IoT Gateway can send the MQTT data to the IoT Platform or MQTT Broker. Above all, You will be able to set up the MQTT Broker / IoT Platform  at your own premises based on the need.  The gateway will also work with all  standard MQTT Platform  like Azure , AWS IoT , Google IoT Core , etc.,

Industrial IoT Gateway

The Industrial IoT Gateway comes with a configurable User Interface. The data location on the Modbus Slaves and the corresponding keys for interpreting the data can be configured easily from a browser window.  In the preview version, you can connect the gateway with a maximum of 10 Slaves. You can configure  the monitored query interval based on the severity of the process / machines. We built the Industrial IoT gateway to  ensures the minimal data loss with local niche making sure the data loss.

Early Access

The Gateway can be run on Linux / Ubuntu , Windows 64 bit & Raspberry pi. We can make it work on any micro operating system based on the need. Do write to support or contact us for getting a preview of the Gateway.