JMeter Integration

Created by: Naveen Kumar Namachivayam

Resources used:

  • InfluxDB
  • InfluxDB Cloud

NaveenKumar Namachivayam has over 12 years of experience in performance testing and engineering. He loves to do experiments with performance testing tools and solutions by breaking stuff. He enjoys reading, writing articles for his blog, teaching and playing with his kids. Here is how he deploys InfluxDB.

Customer Success Story: JMeter Integration

Namachivayam is using InfluxDB for a personal project. As a part of his Learn JMeter Series on YouTube, he was working on JMeter Integration with InfluxDB and Grafana. During the study phase, Namachivayam learned a few more insights about the integration, which he shares in this blog post covering that integration using Docker. You can check his Prometheus Integration with JMeter here. Namachivayam found that the InfluxDB-Grafana integration is simple and straightforward, and that running both in Docker containers is even easier. This integration helps him to monitor performance data in real time and also take the necessary steps while the test is running.

Namachivayam likes that InfluxDB integrates well with other tools, is open source, and that the performance testing yields lots of data. This is particularly great if you are working on endurance testing where the test runs for an entire day. With the streaming of performance metrics to InfluxDB, he got to see the powerful visualization in the dashboard in real time. After the test was done, InfluxDB helped to create dashboards, compare the previous execution, share the report and configure the thresholds. These features are essential to run performance regression tests.

Namachivayam found InfluxDB to be powerful, scalable, and affordable, and found that InfluxDB Cloud eliminates the burden of maintaining his own clusters. The InfluxDB query language is also powerful and helpful to explore anomalies and regression test comparisons. As for InfluxDB Templates, they helped him get started with dashboards quickly and gave him new perspectives through creating useful graphs and charts.

What Namachivayam also found useful is the “very active” InfluxDB community and the “extremely helpful” documentation. Overall, Namachivayam recommends InfluxDB because iIt is easy to get started, set up, and integrate with any environment, while the powerful visualization engine helps to plot data from almost any angle.

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