Remove IoT Remove Processing Remove Technology
article thumbnail

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
article thumbnail

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
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. One of the most important decisions organizations make when it comes to data processing is whether to use stream or batch processing.

article thumbnail

Simplify log onboarding: From zero to observability in minutes

Dynatrace

The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process.

article thumbnail

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

VoltDB

Edge computing involves processing data locally, near the source of data generation, rather than relying on centralized cloud servers. However, these technologies are on a path of rapid convergence as factories scale up their IIoT networks and demand faster, more autonomous decision-making.

IoT 52
article thumbnail

RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is Apache Kafka?

Latency 147
article thumbnail

What is Azure Functions?

Dynatrace

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. It automatically manages all the computing resources those processes require.

Azure 204