SL Corporation announced that a new release version 4.2a of its SL-GMS J/Developer and J/Net has been released.
SL-GMS J/Developer is a Java-based real-time dynamic GUI/HMI development tool for advanced control and monitoring systems and J/Net is an add-on for network management.
This new release includes the support for JDK 1.7 and transparent graphic objects.
“Based on SL’s special visualization and code generation technologies cultivated over many years in the advanced control and monitoring arena, SL-GMS J/Developer was developed in 1998. Over a decade, no others have come close to how compact and fast the Java code generated by SL-GMS J/Developer is,” said Rodney Morrison, Vice President of Products for SL Corporation. “Many advanced and monitoring systems worldwide have been Web deployed using SL-GMS J/Developer, beyond operations floors or control rooms, to provide real-time monitoring views internally or externally, and we continue to further support such development and deployment.”
Content-rich and highly interactive GUIs or HMIs required by advanced control and monitoring systems can be easily and interactively edited using SL-GMSDraw. This tool enables rapid prototyping by allowing users to immediately preview the behaviors of their dynamic GUI in development using simulated data. Then, compact and fast Java code can be generated from SL-GMSDraw editor, and deployed in a Java applet/Web browser, or as a Java application/ Java Web Start, or Desktop. Additionally, custom graphic objects can be generated to import into RTView Builder, another SL’s product for enterprise monitoring solutions.
Because SL-GMSDraw is mutual to the other C++ and Microsoft .NET-based SL-GMS products, graphic models created with the editor can easily be reused among different SL-GMS products, providing a unified solution for advanced control and monitoring systems in different frameworks.
The Latest
The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...
In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...
The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...
As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...
While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...
Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...
The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...
In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...
Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...
