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Visualizing IoT Data With MQTT, QuestDB, and Grafana

DZone

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241
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Scaling for Success: Why Scalability Is the Forefront of Modern Applications

DZone

As we embrace new technologies like cloud computing, big data analysis, and the Internet of Things (IoT), there is a noticeable spike in the amount of data generated from different applications. It is not uncommon to question why scalability has grabbed the attention of the masses these days.

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Understanding the Role of ERP Systems in Modern Software Development

DZone

ERP systems enhance collaboration, streamline workflows, automate tasks, and provide robust data management and analysis capabilities. They also provide customization options, allowing developers to tailor software solutions to specific business requirements.

Systems 169
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Identify issues immediately with actionable metrics and context in Dynatrace Problem view

Dynatrace

For DEM problems, the business impact analysis shows the number of users that are potentially impacted by a problem. The root cause analysis section now contains links to custom events for alerting and manual performance thresholds. This ensures greater agility and reduces the time to resolution. How to get started. New to Dynatrace?

Metrics 228
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 45
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40
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How digital experience monitoring helps deliver business observability

Dynatrace

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT.