SL-GMS J/Developer and J/Net to Support Windows 10
December 07, 2015

SL Corporation has added Windows 10 support in the latest release of SL-GMS J/Developer and J/Net, version 4.4a.

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 enhanced option for network management.

First released in 1998, based on SL’s special visualization and code generation technologies, SL-GMS J/Developer has been used to deploy many advanced monitoring systems worldwide, beyond operations floors and control rooms, to provide real-time monitoring views both internally and externally. SL continues to support such development and deployments today.

The creation of 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. Graphic models created with SL-GMSDraw can easily be reused among the other C++ and Microsoft .NET based SL-GMS products, providing a unified solution for advanced control and monitoring systems in different frameworks.

Java code from SL-GMSDraw editor can be transparently deployed in a Java applet/Web browser, or as a Java application via Java Web Start or Desktop control. In addition, custom dynamic graphic objects can be generated to import into SL’s RTView Core Builder, a Real-Time Data Management System Tool for monitoring distributed enterprise applications.

Share this

Industry News

May 09, 2024

Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.

May 09, 2024

Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.

May 09, 2024

StackHawk announced a new integration with Microsoft Defender for Cloud to help organizations build software more securely.

May 08, 2024

MacStadium announced that it has obtained Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) Level 1, meaning that MacStadium has publicly documented its compliance with CSA’s Cloud Controls Matrix (CCM), and that it joined the Cloud Security Alliance (CSA), the world’s leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment.

May 08, 2024

The Cloud Native Computing Foundation® (CNCF®) released the two-day schedule for CloudNativeSecurityCon North America 2024 happening in Seattle, Washington from June 26-27, 2024.

May 08, 2024

Sumo Logic announced new AI and security analytics capabilities that allow security and development teams to align around a single source of truth and collect and act on data insights more quickly.

May 08, 2024

Red Hat is announcing an optional additional 12-month EUS term for OpenShift 4.14 and subsequent even-numbered Red Hat OpenShift releases in the 4.x series.

May 08, 2024

HAProxy Technologies announced the launch of HAProxy Enterprise 2.9.

May 08, 2024

ArmorCode announced the general availability of AI Correlation in the ArmorCode ASPM Platform.

May 08, 2024

Octopus Deploy launched new features to help simplify Kubernetes CD at scale for enterprises.

May 08, 2024

Cequence announced multiple ML-powered advancements to its Unified API Protection (UAP) platform.

May 07, 2024

Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency.

May 07, 2024

New Relic launched Secure Developer Alliance.

May 07, 2024

Dynatrace is enhancing its platform with new Kubernetes Security Posture Management (KSPM) capabilities for observability-driven security, configuration, and compliance monitoring.

May 07, 2024

Red Hat announced advances in Red Hat OpenShift AI, an open hybrid artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across hybrid clouds.