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MQTT (Message Queueing Telemetry Transport) is a simple, lightweight message publishing and subscribing network protocol. It is the standard protocol for Internet of Things (IoT) and Industry 4.0 messaging.

It is lightweight, low bandwidth, and functions well in high latency and unreliable environments, making it ideal in production environments. Devices send data (publish) to an MQTT Broker with a topic and a data payload, and devices can subscribe to that topic and subtopics and receive updates containing that data from the broker when the data changes. Topics can be defined to use several levels of depth and devices can subscribe to topics using wildcards allowing for dynamic changes when required.

Zero-Trust Data Security

Zero-Trust is a security concept and cybersecurity framework allowing an organization to aggressively defend itself, its data, and user permissions using an advanced system of automated security protocols. Zero-Trust is centered on the belief that organizations should not automatically trust anything inside or outside their perimeters and instead must verify anything and everything trying to connect to their systems before granting access.

Data Correlation

The EDM Correlation data analysis tool is designed to help users perform root cause analysis across multiple devices or systems. It compares the activity of one system over a given period with the activity of multiple other systems and identifies the most highly related data points. This allows EDM to create an intuitive visualization of related events across an entire network of mixed technology enabling root cause analysis to be performed more efficiently than ever before.

Data Forecasting

Forecasting uses historical data as inputs to make informed estimates that are predictive in determining the direction of future trends. Choosing appropriate forecasting techniques depends on the type of data being used and behavior of the data. For example, forecasting techniques used for “financial data” may not be appropriate for time series data like “computer server data” or “data center network activity data” (though underlying forecasting principles stay the same).

Colonial Pipeline-Attack-Profile

Brandon Witte Brandon Witte is the CEO of Sightline Systems, a global leader in…

New Software Release: EDM™ 5.16

Brandon Witte Brandon Witte is the CEO of Sightline Systems, a global leader in…

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Use Cases

Ensuring Secure Access to Your Sightline Data

Learn how Sightline Systems ensures data security through robust encryption and SSL/TLS protocols, protecting data in transit and securing user access to their performance monitoring platform. This commitment to security, combined with real-time analytics, proactively identifies potential vulnerabilities, allowing businesses to operate confidently.

Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM™

Pennsylvania’s Department of Human Services (DHS) faced challenges ensuring a smooth rollout of the Affordable Care Act (ACA) due to system integration complexities. To address these issues, DHS implemented Sightline EDM™, an observability solution. This tool enabled real-time monitoring, performance measurement, and infrastructure comparison, ultimately leading to reduced system outages, improved reliability, and a successful ACA implementation.

Sightline EDM’s Security Event Detection: Fortifying European Banks for Stringent EU Stress Tests and Regulations

Sightline EDM is a software solution designed to help banks monitor their corporate computing infrastructure and ensure security, efficiency, and compliance with regulations. The software offers features such as risk-based monitoring, anomaly detection, and real-time advanced predictive analysis.