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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. IoT is transforming how industries operate and make decisions, from agriculture to mining, energy utilities, and traffic management.

IoT 264
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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. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.

IoT 241
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

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How Edge and Industrial IoT Will Converge in 2025: A New Era for Smart Manufacturing

VoltDB

Advances in the Industrial Internet of Things (IIoT) and edge computing have rapidly reshaped the manufacturing landscape, creating more efficient, data-driven, and interconnected factories. This shift will enable more autonomous and dynamic systems, reducing human intervention and enhancing efficiency.

IoT 52
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147
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Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

From social media to IoT devices, businesses are generating more data than ever before. With this data comes the challenge of processing it in a timely and efficient way. In the digital age, data is the new currency and is being used everywhere.

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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

However, as organizations accelerate their adoption of edge technologies, things are getting more difficult in the form of security, bottlenecks, and more. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed.

IoT 52