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Posted on by Dale Micallef

Track and control printing and scanning across more devices than ever before with 17.3

Release overview


Personalize the branding across all areas of PaperCut

Release 17.2 introduced a much quicker and easier way to customize the branding of the Client, User Web Interface and Admin Interface. In this release, the Reports section has been personalized, rounding out the list of areas IT administrators can update to match the look and feel their organization’s brand.

Single Sign On support for Lexmark’s Scan Center solution  

PaperCut MF for Lexmark MFPs now offers users an integrated experience with the Lexmark Scan Center solution through the use of a Single Sign On (SSO) process. Once a user logs into PaperCut MF at the MFD and is authenticated, they will be automatically logged into the Lexmark Scan Center allowing IT administrators to track and cost scan jobs, in one easy process. To see how PaperCut MF works with Lexmark, check out our Lexmark Tour page.

Integrated Scanning now available on Sharp devices with 7” screens

IT administrators can now provide a seamless end-user experience at the MFD panel for more Sharp devices  than ever before, with Integrated Scanning no longer restricted to devices with 10″ or larger screens. With this release, Integrated Scanning can now work on Sharp devices with 7″ screens, allowing IT administrators to track, and cost scan jobs, within the familiar PaperCut MF user interface. For more information about PaperCut MF for Sharp, check out the Sharp Tour page

Extend the secure print environment to include HP Single Function printers

Through the added support for single-function printers and selected small screen devices from HP’s FutureSmart range, IT administrators can now give users a secure and familiar experience at the device. By enabling Secure Print Release and Find- Me Printing across all devices, whether they are multi function devices (MFDs) or single function devices (printers), IT administrators can securely control what is printed and ensure all jobs are tracked, without the need to purchase additional hardware. To find out more about how PaperCut MF works for HP, vitis our HP Tour page.

Have you heard about Mobility Print?

Mobility Print is currently helping 1000’s or organizations across multiple industries solve their Mobile and BYOD printing issues. Mobility Print just works on any end-user device, providing a native print experience for all operating platforms and devices consistently with your make or model of printer. Setting up Mobility Print is super easy, with most installations requiring only a few clicks to get up and running. You can set up Mobility Print with PaperCut .

Want to know more?  

To help you digest all the updates, we’ve detailed all features, enhancements and fixes, in the 17.3 Release Notes for PaperCut MF.

And of course, the “Fine Print”

If you have a current subscription to Premium Upgrade Assurance, your upgrade to Version 17.3 is already included. Otherwise, one-time upgrades may be purchased via our online order system or through your PaperCut supplier. And hey, added bonus – upgrading now will entitle you to all of the releases in the 17.x series throughout the year!


About the Author:

Dale has been part of the PaperCut family since December 2016, joining our Marketing team as a Product Marketer and has been working in the Software and IT industry for the last 10 years. During that time, Dale completed his Masters of Business Administration (MBA), majoring in Marketing and in his spare time enjoys playing Australian Rules Football and watching the latest trending Netflix TV series.

Posted in General, New & Noteworthy | Tagged | 13 Comments

Posted on by Dale Micallef

The modern interface and security enhancements keep on coming with 17.2

This year PaperCut has focused on enhancing the overall look and feel of our solution, and extending our features to continue to reduce any potential security risks associated with printing. In release 17.2 this trend continues. End users are presented with a slick new interface, which administrators can quickly customize with new branding options. We’ve also added a number of enhancements to help your organization be GDPR compliant. For PaperCut MF users, Integrated Scanning is now available on Xerox and Sindoh, along with more improvements to make configuring Find-Me easier.

Release overview

PaperCut 17.2



A modern look and feel for all users

The refreshed, modern interface introduced in 17.0 on the Admin web interface has been expanded to the User web interface.

Now end users can enjoy the same modern look and feel as administrators, with a stylish and savvy interface that presents an intuitive layout to allow everyone to get the most out of their PaperCut MF or NG deployment.

We recognize that some organizations want to carry over their branding to provide their users with a seamless and integrated online experience. So not only did the User web interface get a makeover, but we have now made it easier than ever before to apply your organization’s branding across PaperCut MF and PaperCut NG.

A new “Branding” section located in the Options menu provides quick and easy configuration of customization; allowing you to make PaperCut truly your own. Within the new Branding section, you can customize the branding of the Login page, User web interface, Admin interface, and the Client Tool.




New security improvements for GDPR

With regulatory changes being brought in across the globe to protect users rights to data privacy and protection, PaperCut is actively equipping our products to help our customers meet their data protection obligations.

The latest data regulation taking Europe by storm GDPR, will enforce significant fines in the case of privacy and data breaches. In the 17.2 release, new Forget-Me and What Do You Know About Me features help organizations comply with their GDPR obligations relating to their printing system.

To help comply with the “Right to Access” changes, What Do You Know About Me allows organizations to provide a user with all the information stored about them in PaperCut NG or PaperCut MF, giving them full visibility into their data records.

To help comply with the “Right to be Forgotten” changes, Forget-Me is a secure and automated process to have all information associated with a user redacted with a single admin command.

These two latest features, along with Secure Print Release and Watermarking and Digital Signatures, are key measures to protect a user’s data integrity and specifically safeguard an organization’s print environment to be GDPR compliant. You can read more about how to make your print system GDPR compliant here



Restrict admin access to specific shared accounts

PaperCut MF and PaperCut NG now offers improved security by providing the ability to restrict admin access to specific shared accounts. Admins can be given access to manage only the subset of accounts they are responsible for.  This prevents the risk of unauthorised account access and reduces potential confusion for IT Administrators.



Improvements continue for Xerox embedded application

After receiving an interface refresh in 17.0, the PaperCut MF embedded application on Xerox EIP devices has had a number of new functions added, including Integrated Scanning, the ability to select multiple print jobs when releasing, the tracking of printing from USB drives and more. All this new functionality will make it feel like a new embedded application for Xerox Multifunction Devices!  

And yes, the Xerox Integrated Scanning is supported on all the new VersaLink and AltaLink devices as well!

Find out more about PaperCut MF for Xerox (including models supported) on the Xerox Tour page.

Integrated Scanning and a modern UI supported on Sindoh devices

PaperCut MF provides a seamless end-user experience at the MFD panel for Sindoh users, with both Integrated Scanning and a modern, intuitive interface now available.

The pre-configurable Scan Actions ensure secure document scanning on Sindoh iOption devices will effortlessly integrate into existing business processes.

Find out more about PaperCut MF for Sindoh (including models supported) on the Sindoh Tour page.



Find-Me configuration is now even easier

Following on from the Secure Print and Find-Me configuration enhancements released in 17.1, we’ve added in some extra smarts. Now during Find-Me configuration, queues that match the same physical address as the device being configured will be automatically be suggested, saving time and effort of sorting through a potentially long list of print queues.

Find out more on PaperCut’s Find-Me Printing Tour and Secure Print Release Tour.



Quick and easy copy function access on Canon devices

Expanding the Guest Access functionality to more devices, PaperCut MF now allows IT Administrators to easily enable anonymous user access for the device copy function on Canon devices.  

Through a nominated user account, the “Guest Access” button can be configured to grant unrestricted access and free usage of the device copy functions and still track the copy usage.

To find out more, check out our knowledge base article.



Enhanced usability when releasing print jobs at the device

Users will now have the ability to release multiple jobs at the same time from HP OSA, Sharp OSA and Toshiba eConnect devices, making the print process quicker and easier. Users will also have the ability to cancel multiple jobs at the same, again improving the usability of the embedded release stations.  



Support for Toshiba’s environmentally-friendly erasable toner

Toshiba’s latest enterprise-class MFD, the Toshiba e-STUDIO4508LP, can not only print normal black ink, it can also print a special blue ink which is erasable, allowing paper to be reused up to 5 times.

As eliminating paper waste is one of PaperCut’s core values, we quickly ensured that PaperCut MF supported Toshiba’s latest environmental initiative. PaperCut MF’s print tracking and quote management now permit specific tracking and quota settings on eBlue jobs.

Find out more about PaperCut MF for Toshiba on the Toshiba Tour Page.

Want to know more?  

To help you digest all the updates, we’ve detailed all features, enhancements and fixes, in the 17.2 Release Notes for PaperCut NG and PaperCut MF.

And of course, the “Fine Print”

If you have a current subscription to Premium Upgrade Assurance, your upgrade to Version 17.2 is already included. Otherwise, one-time upgrades may be purchased via our online order system or through your PaperCut supplier. And hey, added bonus – upgrading now will entitle you to all of the releases in the 17.x series throughout the year!

About the Author:

Dale has been part of the PaperCut family since December 2016, joining our Marketing team as a Product Marketer and has been working in the Software and IT industry for the last 10 years. During that time, Dale completed his Masters of Business Administration (MBA), majoring in Marketing and in his spare time enjoys playing Australian Rules Football and watching the latest trending Netflix TV series.

Posted in General, New & Noteworthy | Tagged | 8 Comments

Posted on by andres castano

Google Cloud Platform: Reducing operation cost of an IoT application


After rolling out PaperCut Views on the Google Cloud Platform, we realised that the operation cost was more affected by the instance running time than by the number of IO operations, storage, cache, etc. In this article, I will show the problems we found in our original architecture and the changes we made to reduce the operation cost by reducing the instance running time, hoping that our experience could help other teams doing similar products on the GCP.

What is PaperCut Views?

PaperCut Views is our free printing analytics, insights and supply forecast product targeted to small and home offices.

It is hosted in the Google Cloud Platform (GCP) which is a great provider of cloud services, and particularly, it is running on AppEngine, their platform as a service. One of its big benefits for IoT applications such as PaperCut Views, is that it can auto scale horizontally, spinning up new instances as needed according to the load of the application.

Why did we want to refactor?

IoT applications generally have to deal with a lot of events. PaperCut Views at the moment of writing this article was receiving 1.7 million events per day thanks to the 75k registered printers. These numbers are growing around 15k new printers per month representing 300.000 events more per day. Given that this is a free product, we wanted to try and reduce the operation cost so that we could keep the same level of service to our growing customer base.

Our approach to cost reduction

The first natural approach to reduce costs would be to reduce the number of events per printer (which we did), but we soon realised that our architecture also needed to be improved. In the following sections I will show an overview of our initial architecture, the problems we found on it and the changes we made to reduce the costs.

Our initial architecture

The following is a simplified version of the moving parts of the architecture we had at launch time:

PaperCut Views Architecture

In the previous diagram, the clients are installed in our customer’s organisations to capture the information of the printers and send events such as job printed, toner level changed etc to the cloud. These events are processed by our cloud application which updates various metrics such as total pages printed per month, toner and paper forecast etc. The metrics are calculated organisation wide as well as per printer. Then, the users would be able to see the metrics via our web application.

When we went live, our design was oriented to limit the datastore operations per event, hoping that the reduced number of IO actions kept the costs low. Since we needed real time metrics in our dashboard,  we decided to calculate them every time we received an event and store them on big datastore documents containing all of the metrics; one document for each organisation and one for each printer. Each document was fetched updated and saved once per event.

Event processing

Soon after we went live, we realised that the cost was more affected by the AppEngine instances running time than by the IO or  storage, so we started to plan the refactor.

Problem 1: High contention spots

As you can see, every time some action happened in any printer in an organisation, the two big documents were updated. This resulted in high contention spots in our storage, which despite we sharded the documents, it caused a lot of retries due to optimistic locking. In other words, if multiple events modify the documents inside a transaction at the same time, the first one to finish will commit, the others would need to retry. This kept the instance busy for a longer period of time trying to fetch, update and save a document since the whole cycle needed to be repeated until all events were calculated.

So, first refactor goal: Keep the storage high contention spots under control, even at the expense of duplicated data and more IO

The approach we took was to store some metrics in different documents. This implied more fetches per event but this also meant that the events that didn’t affect that particular metric, wouldn’t modify the document, therefore less contention and less retries caused by the optimistic locking errors.

Smaller metrics

After doing this, we had less instances attending the same number of events. However, there were still some cases in which the processing time of an event was long.

Problem 2: Cross-group transactions

It was common that a single event would modify multiple metric documents. For that, we created a transaction around them to keep the modifications consistent (see paper forecast metrics in the previous diagram). Modifying multiple documents in GCP datastore generally* implies a cross-group transaction, which takes longer to commit increasing the chances of optimistic locking and again, more instance uptime.

Second refactor goal: Avoid modifying more than one document per transaction.

For this, we decided to adopt eventual consistency using domain events according to DDD principles. The idea is that the documents could be updated independently and asynchronously, achieving consistency after a short period of time. We rely on Google Pub/Sub for this, since it guarantees the delivery of the events among other things.

Domain Events

With this approach, the total instance time was reduced because the transactions were much faster and also because by modifying one document at a time we reduced the chances of contention. Until now, this has been the most effective change for us when it comes to cost reduction. As a side effect, we ended up with smaller documents and better segregated logic.

Problem 3: Big nested documents

At the beginning, when we decided to store all metrics related to an organisation in one document, we ended up with big nested structures with lots of data in them. Fetching this type of documents takes more time than fetching smaller documents, like for example, a document storing just a few user details.

Third refactor goal: Keep document size small.

This was a side effect of the previous two changes, and while it might not be critical by itself, when combined with reducing contention spots and eventual consistency can produce a significant reduction on instance time which again, is the most expensive item in our monthly invoice from google.

Is that all?

No, there are other areas that are worth checking. In our team, we are currently working on:

Reducing unnecessary liveliness: Do you really need all events to be processed on real time? For PaperCut Views, the answer is no. Some metrics can be recalculated daily or monthly.This would mean that events won’t be processed as they arrive but in batch at the end of the day.

We are currently streaming the events directly into BigQuery, the GCP Data warehouse, and we are working on calculating the non-real-time metrics directly out of there.

Splitting into multiple services: Views at this moment is mostly a monolith. Having multiple services will allow us to tune each instance type according to the kind of load they are handling and so, we will be able to assign less powerful and cheaper instances to the services that are not critical and bigger ones to the ones that process real time data.

Wrapping it up

After analysing the operation cost breakdown, we realised that IO operations are not as critical as instance running time in the GCP, particularly in AppEngine. We aimed our optimisations on reducing the processing time.

We focused our refactor in:

  • Reducing the datastore contention spots by sharding, splitting the documents and/or duplicating data.
  • Adopting eventual consistency to be able to store one kind of document per transaction.
  • Keeping a small document size.

Being the second one the most effective so far for our case.

We are still working on improving PaperCut Views as well as designing some other exciting products that would take advantage of all of our learnings on the Google Cloud Platform. Our team has grown in size and diversity, so I am sure we will have a whole lot of stories and learnings to share.

Stay tuned and thank you for reading!


About the author:

Andres Castano is a senior developer and the team lead of PaperCut Views. He joined PaperCut 2 years ago and has been actively involved in the architecture and technical direction of the product. He comes from Colombia and in his free time he likes to go out for a run, play soccer and attend the different technical meetings happening in Melbourne.  


Check out his personal blog at: or follow him on twitter @afcastano


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