Resources
ot it gap
Deploying MQTT infrastructure in containerized environments
Containerization is changing how industrial organizations deploy and manage MQTT infrastructure. As OT systems become more connected to enterprise and cloud platforms, organizations need deployment models that are scalable, repeatable, and easier to manage.
This whitepaper explores the practical considerations for containerized MQTT deployments, including planning, configuration, security, licensing, monitoring, and real-world use cases. Learn when containerization makes sense and how to approach it without adding unnecessary complexity.
Securing MQTT: Best Practices for a Robust IoT Ecosystem
MQTT is a widely used protocol for connecting IIoT industrial devices, enabling efficient and real-time data exchange. However, it often gets misunderstood for security vulnerabilities, leading to misconceptions about its safety. In this paper, we will discuss essential steps to ensure MQTT security, from edge devices to cloud servers, and how to address denial of service (DoS) attacks effectively.
From plant floor to cloud: Architecting a unified namespace
A UNS acts as a central, real-time source of truth in an industrial setting, enabling seamless integration of data across different layers of an enterprise. Cirrus Link’s MQTT modules, including MQTT Engine and MQTT Transmission, provide the MQTT tooling to enable a robust framework for mapping OT data into a unified data system. This paper will provide details on how to properly implement a UNS architecture with the Cirrus Link modules.
Best practices for deploying MQTT brokers in industrial environments
As industrial environments modernize and embrace IIoT technologies, the need for fast, scalable, and secure data exchange has never been greater. MQTT has emerged as the protocol of choice, offering lightweight, event-driven communication between edge devices and enterprise systems.
But even the most elegant protocol is only as good as its implementation — and at the heart of that implementation is the MQTT broker.
This whitepaper explores best practices for deploying MQTT brokers in operational environments where uptime, performance, and security are critical. Whether you’re working in water/wastewater, manufacturing, oil and gas, or energy distribution, these guidelines will help you build a robust foundation for MQTT-based data architecture.
We’ll cover deployment models, security considerations, performance tuning, and tips for scaling across your OT/IT infrastructure.
Unlocking the power of OT data in oil & gas
Companies in the oil and gas industry generate enormous volumes of operational data across geographically dispersed remote locations. From drilling platforms and wellheads to refineries and distribution networks, real-time information is essential to maintaining safety, optimizing performance, and driving operations. Yet many teams still struggle to bridge the gap between operational technology (OT) and enterprise IT systems.
This whitepaper explores how modern architectures using MQTT, and specifically, Cirrus Link’s MQTT-based software, can unify OT and IT environments. By adopting a secure, event-driven approach to data integration, oil and gas organizations can unlock new levels of visibility, reduce downtime, improve safety, and enable predictive analytics using cloud-native platforms.
Unlocking the power of OT data in manufacturing
Manufacturing organizations generate vast amounts of operational data across production lines, machines, and facilities. From sensors and PLCs on the factory floor to MES, ERP, and quality systems at the enterprise level, real-time information is critical for maintaining throughput, ensuring product quality, and optimizing overall equipment effectiveness (OEE). Yet many manufacturers still struggle to efficiently bridge the gap between operational technology (OT) and enterprise IT systems.
This whitepaper explores how modern manufacturing architectures built on MQTT, and specifically Cirrus Link’s MQTT-based software, can unify OT and IT environments. By adopting a secure, event-driven approach to data integration, manufacturers can gain real-time visibility into operations, reduce unplanned downtime, improve decision-making, and enable advanced analytics and AI initiatives using cloud-native platforms.