![apache jmeter load testing apache jmeter load testing](https://image.slidesharecdn.com/wowodc2010jmeter-110908070032-phpapp01/95/load-testing-apache-jmeter-9-728.jpg)
![apache jmeter load testing apache jmeter load testing](https://image.slidesharecdn.com/presentationofjmeterperformanceloadtesting2017-170625102702/95/apache-jmeter-32-performance-load-testing-2017-16-638.jpg)
Apart from data transfer, it can also process by using the Streaming API.Īs we know, to work with a very large amount of data, we use Kafka.To replicate and distribute queues across the cluster, high availability of data due to the capability.Due to sequential I/O, high performance.By default, the long message storing time – a week.Moreover, let’s throw light on some features of Kafka that are important for Kafka load testing: For example, a company like LinkedIn uses it to stream data about user activity, while the company like Netflix uses it for data collection and buffering for downstream systems like Elasticsearch, Amazon EMR, Mantis, and many more. Also, for its features, Kafka is widely popular.
![apache jmeter load testing apache jmeter load testing](https://loadfocus.com/blog/wp-content/uploads/apache-jmeter-adding-http-request-sampler.png)
In order to process terabytes of information, many large companies use it. This is a great example of several open source projects coming together to provide a really useful but still simple solution.In simple words, Apache Kafka is a hybrid of a distributed database and a message queue. Now you will be able to see your JMeter metrics on the Grafana dashboard. Using the shared dashboard, select your InfluxDB database. You are now ready to connect Grafana to InfluxDB. Now, modify the InfluxDB parameters to match your InfluxDB configuration. Add a new Backend Listener and select org.md. from the dropdown. Once downloaded, move it to JMeter’s lib/ext directory and restart JMeter.
Apache jmeter load testing download#
We can then use a Grafana dashboard to visualize the metrics in easy to understand charts and graphs.įirst, download the JMeter plugin to send metrics to InfluxDB. But we can work around this by including another plugin that sends the metrics to an InfluxDB. Unfortunately, this makes it harder to observe the tests in progress. Running your tests from the command line provides much better performance. JMeter’s built-in graphs provide a decent look at the metrics captured but the first thing you will likely learn is that running JMeter tests using the GUI is not a good idea. But, with those plugins you can design a load test by specifying your target throughput over time.
Apache jmeter load testing how to#
There are great resources that show how to use those plugins so I won’t duplicate it here. I find the “3 Basic Graphs” and the “Throughput Shaping Timer” plugins to be especially useful. Click it to see and download available plugins. Under the Options menu you will now see a Plugins Manager item. Download the Plugins Manager jar, place it in JMeter’s lib/ext directory, and restart JMeter. You can extend JMeter’s already powerful functionality with plugins. Admittedly, I don’t find it to be most intuitive tool to get started with but once you get the hang of it makes sense and you start to understand why it’s designed the way it is. You can define your API requests, run your tests, and measure throughput and other metrics. Apache JMeter is a great tool for load testing APIs.