Software Toolbox Technical Blog

If you’re reading this post, you’ve almost certainly at least heard of DCOM. And, possibly, you’re one of many who have struggled over the years with the trials of configuring remote OPC Classic connections between machines where DCOM inevitably increased your time and difficulty for what should be a relatively painless task.

DCOM Hardening is Permanent in 6d 1h 34m 0s

DCOM hardening with no option to disable it is coming up fast - March 14, 2023. If you haven't already made a plan to either migrate away from DCOM communications entirely or address how to keep your process systems that will still rely on remote OPC Classic over DCOM working reliably, time is running out. Downtime is costly and a system that is using OPC Classic and hasn't been evaluated to determine the effects of DCOM hardening could be vulnerable to communication breaks.

This blog post discusses 6 types of options to relieve DCOM hardening pain. These include alternatives to DCOM that cover a range of use cases depending on what software you already have installed and your existing system architecture. We also have a comprehensive guide that you'll be able to request that addresses what DCOM changes will be needed if you're not in a position to migrate currently.  Our technical support team are also willing to discuss your specific requirements with you, so you're not on your own out there! 

Software Toolbox Products DCOM Readiness and Action FAQs

The Google Cloud Platform (GCP) is Google’s cloud solution that brings all of Google’s cloud computing services together. Google’s own services, such as Google Search and YouTube, run on the GCP, but end users can also use their cloud services.

Google Cloud Platform, for the Internet of Things (IoT) area, offers their “Cloud IoT Core” services, which provide the functionalities to connect large quantities of devices via an integrated MQTT broker. In this blog post, we will show the necessary steps for connecting this Cloud IoT Core to the different data interfaces supported by OPC Router.

Cogent DataHub is known for its extensive connectivity to OPC DA, OPC UA, OPC A&E, Databases, Excel, ODBC, DDE, Linux, Modbus.  The latest Version 10 release adds a huge amount of new or expanded functionality that further confirms our saying that "once the data is in DataHub, it can go anywhere".

In this blog post, I'll provide insight into key new features including support for OPC UA Alarms & Conditions, support for Sparkplug B for both the MQTT Client and Broker, support for reading and writing with multiple popular external historians and more. Not only will I cover what these new functionalities provide but how they can help you deliver secure, integrated connections within and between your plants, to the cloud and beyond, giving you the data and perspective you need to make critical decisions for your enterprise.

IoT, IIoT, MQTT, Connectivity of Things, Big Data, The Cloud - by now, you've heard these terms in some way, shape or form.  Perhaps you're working on a project requiring you to push and/or pull important process or business data to/from a cloud solution. Big data analytics applications ranging from predictive maintenance to "smart" manufacturing, amongst many other use cases, are becoming more and more common.

And Google© is a household name both in the private and professional world. Chances are, you got here using Google – whether through a Google search, or by using Google Chrome (or both). But did you know that Google has their own cloud solution called Google Cloud IoT Core©? Amongst many other things, Google Cloud IoT Core acts as an MQTT broker for storing and sharing important data in a secure cloud along with artificial intelligence and analytics and many other IoT services.

But how do you go from your data sources to Google Cloud IoT Core? In this second post in a series about connecting DataHub to IoT solutions (if you missed our first post on connecting to Amazon AWS IOT Core©, click here), we'll step through how you can configure Google Cloud IoT Core and connect it to your process and business data sources using the Cogent DataHub IoT Gateway©.

IoT, IIoT, MQTT, Connectivity of Things, Big Data, The Cloud - I'm sure you've at least heard these terms in the course of your day (whether in the scope of your job or in an advertisement during a football game you happen to be watching).  Maybe you're even working on a project requiring you to push and/or pull important process or business data to/from a cloud solution - possibly for big data analytics applications ranging from predictive maintenance to "smart" manufacturing, amongst many other use cases.

And Amazon© - well, I'd wager there isn't a single person out there who doesn't know who Amazon is. But did you know they have their own cloud solution called Amazon IoT Core©? And maybe you didn't also know that Amazon AWS (Amazon Web Services©) IoT Core acts as an MQTT broker for storing and sharing important data in a secure cloud along with artificial intelligence and analytics and many other IoT services.

But how do you go from your data sources to AWS IoT Core? In this post, we'll step through how you can configure "things" in Amazon AWS IoT Core and connect them to your process and business data sources with the Cogent DataHub IoT Gateway©.

As you may already be aware, the Cogent DataHub has a wide range of flexible connectivity options between different data sources such as MQTT, OPC UA, OPC DA, ODBC, DDE and so much more.  MQTT client and broker functionality in particular allow DataHub to integrate MQTT data sources with HMI, SCADA, MES, historian and other systems that don't natively support MQTT.

In this next installment of our Cogent DataHub Virtual Training series, we will cover step-by-step how to easily connect 3rd party MQTT clients to the DataHub MQTT broker and convert their data for access by your own systems with OPC UA or OPC DA client capabilities.

Cogent DataHub is always expanding its wide range of flexible connectivity options between different data sources such as MQTT, OPC UA, OPC DA, ODBC, DDE and so much more.  With the advent of IIoT and its increasing adoption across industries, connectivity to various traditionally non-IIOT data sources via MQTT is key.

If you're not familiar with the concept of a virtual or digital twin, it's the idea of virtual modeling a physical asset or system.  Ultimately, the key motivators for creating digital twins is having the ability to accurately model and predict what will happen with the real-world physical equivalent of that digital twin.  Digital twins are extremely beneficial towards predictive analytics used for pro-active maintenance and process optimization across industries.

In this next installment of our Cogent DataHub Virtual Training series, we will cover step-by-step how to easily connect and push data from OPC data sources to digital twins in the Azure IoT Hub including how to optionally do so through a network DMZ (DeMilitarized Zone) using an additional DataHub as a proxy server for even greater security.

You've likely already heard about Cogent DataHub and it's MQTT integration capabilities.  The DataHub MQTT Client goes beyond just generically connecting to MQTT Brokers by providing smart connectors for Azure IoT Hub, Google IoT and Amazon IoT Core MQTT Broker services.

The following short video blog demonstrates step-by-step how to easily configure the DataHub MQTT Client for publishing OPC UA and OPC DA data from DataHub to the Azure IoT Hub, as well as, pushing data from the many other data sources supported by Cogent DataHub (such as ODBC, DDE, Modbus and more).