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In order to run your test for a period of time rather than total number of requests, use -N to specify number of seconds.

http://replace.me – Apache benchmark windows 10


David Rivas David Rivas 85 6 6 bronze badges. Is this software can be use for API performance and load testing? In some cases, especially when benchmarking high-capacity servers, a single instance of ApacheBench can itself be a bottleneck. When using ApacheBench on hardware with multiple processor cores, additional instances of ApacheBench may be used in parallel to fully saturate the target URL in a test.

Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Satellite internet: More useful than sending a car into space Ep. Great engineering cultures are built on social learning communities. Featured on Meta. Apache Bench is a benchmarking tool that is included with the Apache web server software. It is designed to provide an impression of how our Apache installation will perform under different circumstances.

Specifically, it shows us how many requests per second our Apache installation can serve. Benchmarking a website defines how it performs in relation to similar sites. It highlights areas where we can improve and take advantage of providing information on the most effective methods to increase a site’s performance. Performing an analysis using Apache Bench helps keep our website competitive in terms of meeting best practices for our market sector.

It provides key metrics to assist with improving issues, which allow us to identify the features, processes, and configurations that may require changes. This way, we can formulate a workable solution of set targets to improve our overall user engagement and conversion rates.

Benchmarking, as we define it, is testing a web server or website with the expectation of meeting a specific goal. In this vein, we set the parameters we want to meet and then evaluate how those factors respond under a predetermined amount of stress. Load testing implies putting our application or server under a heavy load to determine its response.

The following key performance metrics define how our website or application delivers the information to the end-user. Typically, we should use anywhere from five to ten specific metrics to determine our goals. These metrics should be discussed in advance and planned out for the most favorable outcome. Each business will need to choose their specific goals as all businesses will differ in this aspect. We can divide these metrics into two main areas: Application Benchmarking and Hardware Benchmarking.

These metrics are specifically related to how our application performs on the server. These are directly correlated to the next set of indicators that tie in with the following application benchmarks. Hardware benchmarks rely primarily on the server’s resources and the related configurations of these assets.

The capability of the application primarily depends on these components and settings. Ensuring that the hardware and software capabilities that run them are paramount to enabling reliability and uptime.

Some features of Apache Bench include the following offerings and capabilities. Users should have a solid understanding of the following web server technologies. Additionally, identifying a baseline should be a priority.

We will need information on these tools to successfully complete and understand the use, output, and post configuration settings needed to apply Apache Bench after load testing. The Apache Bench command-line tool comes bundled with the apache or apache2-utils packages. When Apache is installed on our server, the ab command will be available to benchmark a website. To install ab, run the following command. To verify the installation of ab , run the following command.

To verify the status of apache, type in the following command. A single request is then sent to the IP address of the server. Below, we have run a quick ab command against one of the servers at Google. As you can see, the output of the command provides a varied amount of output.

Here is a more in-depth look at the information output by Apache Bench. This command will create connections to your server with one concurrency level of 10 connections simultaneously. We will also look at how to interpret Apache bench results. Bonus Read : How to Remove index.

Once installed, you can directly use it for load testing. In the above command, you need to specify your web server address or URL path that you want to test. In the above command, we use -n option to specify total number of requests to send, and -c option to specify concurrency.

You may alternatively mention -t option to specify the time duration for sending these requests.


Apache benchmark windows 10. Apache benchmark windows 10


These metrics give you a more nuanced understanding than Time taken for tests and Time per request , allowing you to see which part of the request-response cycle was responsible for the overall latency. In the above example, we can see that Connect was on average i. Since the Connect metric depends on client latency as well as server latency, we could investigate each of these, determining which side of the connection is responsible for the variation.

The final ApacheBench report also includes a breakdown of request latency percentiles, giving you a more detailed view of request latency distribution than the standard deviations within the Connection Times table.

The percentile breakdown resembles the following. Unlike the Connection Times table, these metrics are not broken down by stage of the request-response cycle. ApacheBench can also display data about each connection in tab-separated values TSV format, allowing you to calculate values that are not available within the standard ab report, such as wait time percentiles.

This data comes from the same data objects that ab uses to calculate Connection Times and percentiles. These per-request values are:. To access per-request data in TSV format, use the -g flag in your ab command, specifying the path to the output file.

The first five rows of the data in the plot. The -g flag gives you flexibility in how you analyze request data. You could, for example, plot the dtime of each request in a timeseries graph i. One way to understand the responses from your web servers is to count those that return an error or a failure. This is helpful if your goal is to benchmark deliberately unsuccessful requests e.

You can also send HTTP logs from your server to a dedicated monitoring platform like Datadog to aggregate responses by status code. Connections between ApacheBench and your web server can fail just like any TCP connection, and ab counts failures within four different categories:. The following comes from running an ab command with the -n option set to and the URL set to www. This is because ab stores the length of the first response it receives, and compares subsequent lengths to that value.

In general, the Failed request metrics monitor activity at the transport layer, i. Try Ubiq for free. Toggle navigation. Related posts:. How to Password Protect Directory in Apache. About Author. AMD Ryzen 5 U. Intel Xeon EL v5. Instruction Set. SSE 4. Used by default on supported hardware. Found on Intel processors since at least Found on AMD processors since Bulldozer Found on Intel processors since Sandy Bridge Found on Intel processors since Haswell Found on AMD processors since Excavator Found on Intel processors since Westmere Last automated analysis: 23 April CPU Architecture.

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