Sightline Systems Named a Strategic Partner of N3uron: Predictive Analytics Meets the Industrial Edge

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Sightline Systems is proud to announce that we have joined the N3uron Strategic Partner ecosystem, uniting N3uron’s Industrial IoT and DataOps platform with Sightline EDM’s AI-driven monitoring, forecasting, and analytics. Every manufacturer we talk to runs into the same two-part problem. First, getting clean, contextualized data out of the PLCs, sensors, SCADA systems, and historians…

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Sightline EDM 7.2: Next-Gen Observability via OpenTelemetry, Kafka, and Enhanced Correlation

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Every EDM release sharpens the same promise: a single, trustworthy view of everything your infrastructure is doing. Version 7.2 delivers on that promise by expanding your data collection footprint, sharpening root-cause analytics, and beneath the surface, modernizing the entire core stack.  On top of it, we’ve added new ways to collect data, tightened security from…

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Sightline Systems Featured on Japan’s Freelance Hub

We are excited to share that Sightline Systems has been featured on Freelance Hub, a premier Japanese media platform and project network for IT and industrial engineers. The feature article, titled “Hints for Stable Operation and Smart Technology Are Here! A Summary of Useful Media for OT Sites,” highlights how our Sightline EDM platform empowers…

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Sightline Systems Joins the Inductive Automation Ecosystem as an Ignition Tech Provider

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Sightline Systems is proud to announce that we are now an official Ignition Tech Provider through Inductive Automation, a milestone that reflects our ongoing commitment to delivering powerful, integrated data solutions across the industrial and IT landscape. What Is Inductive Automation? Inductive Automation is the creator of Ignition, the first universal industrial application platform built…

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Sightline EDM 7.1.1: Precision and Stability Updates

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Sightline EDM 7.1 is here, and this release brings some meaningful interface and usability improvements We are excited to announce the release of Sightline Enterprise Data Manager (EDM) 7.1.1. Following our major feature updates in version 7.1, this maintenance release focuses on refining your experience through targeted stability improvements and bug fixes. What’s New in…

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Sightline EDM 7.1: Smarter Dashboards, More Flexible Reports, and Better Data Views

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Sightline EDM 7.1 is here, and this release brings some meaningful interface and usability improvements for a more visually appealing dashboard. Whether you spend your day building reports, analyzing trends, or monitoring live performance data across your systems, the updates in 7.1 are designed to make that work faster, more intuitive, and more powerful. Below,…

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How Can Businesses Prepare Their IT Infrastructure for 2026?

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As we move deeper into 2026, IT leaders face a critical question: Is our IT infrastructure ready for what’s ahead? The technology landscape continues to evolve at an unprecedented pace, with hybrid cloud environments becoming the norm, legacy systems requiring strategic integration, and the need for predictive capabilities growing more urgent by the day. For…

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EDM 7.0 Release

Sightline EDM 7.0 release announcement graphic

Stronger Security and a Modernized Platform At Sightline Systems, we continue to invest in modern, secure, and resilient infrastructure for enterprise monitoring and analytics. The release of Sightline Enterprise Data Manager (EDM) 7.0 delivers significant platform upgrades, enhanced security architecture, and reporting improvements that help organizations operate with confidence today, as well as prepare for…

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Cutting Through Data Overload: How TopList Reports Transform Performance Analysis

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In today’s enterprise environments, the volume of performance data can be both a blessing and a curse. While comprehensive monitoring provides unprecedented visibility into system operations, the sheer amount of information can quickly become overwhelming. When you’re managing massive systems that generate hundreds or even thousands of data points daily, traditional reporting approaches often create…

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