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JMeter Real-Time Monitoring, Integration With Grafana+InfluxDB 2.0 (Flux)

We know that JMeter is one of the most popular and best tools to load and test functional behavior and measure performance. I love JMeter so much and a lot of real projects have been created using this tool. JMeter gives capabilities, like: building different load patterns through plugins, offline HTML reporting, scaling (master and slave nodes), access to a big community, and custom plugins. But we have no real-time monitoring out-of-the-box. This is not a problem; we can build a solution using an integration with Grafana + InfluxDB. This solution provides great capabilities and saves time.

Why do we need real-time monitoring?

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InfluxDB 2.0 Alpha Release and the Road Ahead

We've just released the first alpha build of InfluxDB 2.0. Our vision for 2.0 is to collapse the TICK Stack into one cohesive and consistent whole, which combines the time series database, the UI and dashboarding tool, and the background processing and monitoring agent behind a single API. The move from the 1.x line to 2.0 represents the biggest evolution of our product since we started InfluxDB in 2013. In this post, I’ll cover what we’re trying to accomplish with the 2.x line of InfluxDB and Flux, why we’re building it out the way we are, and what the development process through alpha, then beta, and then general availability of the 2.0 release will be.

Flux, a New Language

One of the biggest parts of InfluxDB 2.0 is Flux, our new data scripting and query language. We decided to build a new language after reviewing years of feature requests, community questions, and issues with InfluxQL, our current query language, and TICKscript, our language for working with Kapacitor. From a design goals perspective, Flux should: