PAASMER Edge Software Suit Free Trial

PAASMER Edge Software is an IoT edge solution that allows developers to connect IoT devices to the PAASMER cloud platform for data visualization and IoT management. This allows for a quick start approach to IoT development. It offers value added features like Edge Analytics and Machine Learning at Edge

PAASMER allows customers to use the PAASMER Edge and PAASMER Cloud solutions for free with a 15 days free Trial license, that can be availed to evaluate the PAASMER Edge including Edge Analytics and Machine learning features and PAASMER cloud features including device/feed management and configurable data visualization.

Here we provide step by step instructions on how to avail PAASMER Edge Free Trial license.

Step 1 – Register at PAASMER

Go to

Register by submitting the following Signup form


Procced with the Email verification and complete the Registration

Step 2 – Add a Device shadow in PAASMER platform web application

Logon to PAASMER and go to Docker Devices and select Add Dockerdevice


This will let you create a device shadow. Enter the device name you wish to provide for the IoT device you will be connecting to this device shadow

Step 3 – Select Free License


You can see two license options for every device you add. Choose Free license for the Trial purpose and Complete the Device creation.

Step 4 – Download PAASMER Edge and Install it on your IoT Device

Go to PAASMER GitHUB link

Open Readme file and follow the instructions to install PAASMER Edge on your IoT device.

Step 5 – Your Device is ready with PAASMER Edge for your Trial now

Once the installation and configuration are completed on the Device with PAASMER Edge, a connection will be established between your physical device and the device shadow you have created on the PAASMER platform.

Go to PAASMER Platform Web application to view your device showing online.

Step 6 – Follow How to do Videos on PAASMER YouTube channel

You can follow other How to do videos in PAASMER YouTube channel to configure and connect sensors and actuators, how to use other Edge and Cloud features for your Trial purpose.

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PAASMER Edge Software Releases Version 2.1

New Updates Include: Machine Learning Developer Kit, Easier Device Management and New Ways to Configure Your Data

Paasmer has been consistently upgrading their software stack over the past couple of years based on feedback from their IoT developers and clients. Last year, Paasmer extended its reach and support beyond IoT into drone, robotics, and smart city applications. Earlier this year Paasmer made major updates to the  Edge Analytics; Edge Machine Learning & Edge Artificial Intelligence software packages with the Paasmer 2.0 release.

Today, Paasmer 2.1 launched with an upgraded Machine Learning Developer Kit and enhanced Paasmer Cloud GUI. THese new enhancements make it easier for developers to build machine-learning applications on the Edge. Typically,  historical data sets and related parameters are used to train machine-learning applications; however, the new trained module will be deployed on the device itself which allows for continuous training and improved accuracy.

Data visualization has also been updated in Paasmer Cloud GUI the new update allows developers to choose a different data configuration and presentation for each feed. The following presentation types have been added with the Paasmer 2.1  release: line chart, bar chart, circular gauge, vertical gauge, button and slider bar button.

The biggest enhancement made to last years Paasmer 2.0 version was the addition of dockerized architecture on their Edge Software. To accompany the dockerized architecture, Paasmer 2.1 features a new section in the left side panel of the Cloud GUI called, “Docker Device”. This new section makes it easier for developers to replace a broken or malfunctioning device without having to buy a new license for faster prototyping and more tests on multiple devices at a time.

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Best B2B Companies 2018: Top Business Experts

Winners of CreditDonkey Best B2B Companies Award have been announced. These B2B companies know what your business needs to grow and run smoothly.


Mobodexter is making the Internet of Things easier for businesses to take advantage of.

Why Mobodexter is a Top B2B Innovator: IoT is the future for many businesses, and Mobodexter’s technology is working to help process the data from these devices and take advantage of it in a timely manner. They’re also taking advantage of blockchain and drone technologies to further enhance business outcomes for their clients.

As a small business owner, there’s only so much you can do alone. This is when the services of a business-to-business (B2B) company will be invaluable. A B2B sells services or products to another company. These B2B companies know the struggles that businesses face and their needs. They offer solutions to streamline processes, do things more efficiently, and help your business grow.

At CreditDonkey, we help small business owners make smart financial decisions. Oftentimes, it’s necessary to invest in professional services to further your business. We’ve come up with a list of the very best B2B services for small business owners. Read More

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internet_of_things and open source

Internet Of Things and Open Source


Srinidhi Murthy

Internet of Things is technological break through that affects our lives in ways unimaginable before. It has a wide spectrum of application ranging from the Micro to the Macro, from our daily essentials to nuclear reactors and much more.

Getting an IoT product out in the market is an extremely task. There are challenges involved are in design of Hardware, Software, Cloud and Analytic’s components. However there are quiet a few common areas amongst all products. The need for sensors to be connected via wired or wireless mediums to centralized severs, data collection, interpretation and analysis on the data.

The challenges in each of the components can be overcome by using Open Source technologies. We talk about a few of them below.

Open Hardware, Software and Standards

Using tried and tested industrial grade components, sensors, development boards and commercial friendly open source software licenses for products saves a lot of over head in development of components and its sub sequence testing. It also reduces the time to market of the products as the based Hardware and software are already available and only custom changes specific to the product under development needs effort.

Open platforms like the Raspberry Pi, Arduino and Beagle Bone enable developers with limited hardware and low-level software expertise to develop applications in days rather than months. If the correct platforms are chosen, leveraging open source technologies that communicate with each other can significantly reduce the time and effort to get prototypes from paper to production.

Working with multiple vendors and platforms, doors are opened for new innovation. Such partnerships lays the foundation for a new generation of connected applications that can be developed independently from the devices on which they will run.

Usage of such components in products changes the mindset of the the key stake holders in the industry and the reluctance to accept them as standards is overcome.

Ecosystem and support community

Once an open source standards is released, it is almost immediately adapted by evangelists that are ready to embrace new technology and explore them to the fullest. This creates a very large ecosystem of variations of the standards that have been released and thus create a very large ecosystem.

Such evangelists are also helpful in terms of support and can help in quicker resolution of issues faced during product development, thus creating a more robust product and also reducing the time to market of the product.


No one knows what the future is for IoT, but committing to a standards and open source platforms will help drive IoT innovation and bring products to market faster. Standards will also ensure technology inter-op and open source platforms ensure that both hardware and software components can be reused as product platforms evolve.

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IoT Adoption – Ambitious growth with Formidable Technical Challenge – How PAASMER fits in?

A recent Gartner survey provided key insights and recommendations on IoT adoption. We recently did an exercise to map these key findings and recommendations to our IoT Platform of A Service – PAASMER.  We have highlighted the points significantly addressed by PAASMER in block letters below. PAASMER – Being a Gateway/Cloud centric architecture addresses the highlighted area in comprehensive manner by design.

As stated in PAASMER press coverage on Raconteur online – PAASMER scores extremely high over other existing architectures by being most flexible and scalable.

Gartner Key Findings

  • The number of IoT projects per organization is surprisingly high; companies that have implemented IoT have, on average, 6.8 different IoT projects, and the number of projects is expected to rise to 11.5 within three years.
  • Heavy (asset-oriented) industries are focused on internal benefits (for example, asset optimization) and plan to implement about twice as many projects (16.3 versus 8.9) as companies in light (service-oriented) industries, which are more focused on external benefits (for example, new revenue sources).
  • Fifty-one percent and 43% of survey respondents identified cybersecurity and integration, respectively, as their top two technical challenges for IoT projects.
  • More than one-third (38%) of respondents that have already implemented or are planning to implement IoT are planning to use an IoT platform for their next IoT project.

Gartner Recommendations

CIOs and IT leaders should:

  • Treat IoT project proliferation as a call to action: Consider the role of IoT in your company, and build plans to leverage it by year-end 2016. Expect these “living plans” to evolve over time.
  • Incorporate IoT into your enterprise architecture. Invest in integration middleware either for IoT/OT integration with MES or other applications in heavy industries, or for IoT/IT integration with core enterprise applications, such as ERP, in light industries.
  • Develop a comprehensive cybersecurity strategy early in IoT project planning to mitigate post deployment challenges.

Companies that do not yet plan or do not yet know whether they will use an IoT platform for their IoT project should learn more about the maturity and potential benefits of this middleware.

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