NextGenBeing Founder
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Loading...Introduction to Real-Time Industrial IoT Monitoring
When I first started working on industrial IoT projects, I realized that most of the focus was on collecting and storing data. However, the real challenge lies in making sense of that data in real-time. Last quarter, our team discovered that using InfluxDB 2.6, Grafana 9.4, and Apache Kafka 3.2 could provide a robust solution for real-time monitoring.
The Problem with Traditional Monitoring Systems
Traditional monitoring systems often rely on relational databases, which can become bottlenecked when dealing with the large amounts of time-series data generated by IoT devices. We tried using a relational database first, but it failed to keep up with our data ingestion rates. Here's what we learned from that experience:
- Relational databases are not optimized for time-series data
- They can become slow and unresponsive under heavy loads
- Scaling them can be difficult and expensive
How InfluxDB 2.6 Solves the Problem
InfluxDB 2.6 is a purpose-built time-series database that can handle large amounts of data and provide real-time analytics.
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