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135 changes: 135 additions & 0 deletions salvo/ENVOY_DEVELOP_WORKFLOW.md
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# Measure Envoy's Performance Change with an A/B Testing
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## Objective

This documentation will describe the user journey and detailed workflow to use Salvo to measure Envoy's performance change with an A/B testing.

## User Journey

You are implementing a new feature in Envoy and reach a point where you need to decide between two possible implementation approaches. You wonder what are the performance implications of each choice and decide to run the benchmarking framework to find out. You run two executions in A/B testing mode, both comparing an official Envoy version to an Envoy version with your change using one of the approaches. Once the tests complete, you examine the results and choose an implementation approach with the better performance characteristics.

## Workflow

This section will describe the whole workflow to use Salvo to Measure Performance Change with an A/B Testing. And we will use [Binary Benchmark](./README.md#binary-benchmark) as an example.

1. The requirements to build Envoy and Nighthawk in local machine

In oder to build Envoy and Nighthawk in local machine, follow [this documentation](https://www.envoyproxy.io/docs/envoy/latest/start/building.html#linux-mac-target-requirements) to ensure local machine meets the requirements.

2. Download Salvo

The next step is to download Salvo project from github, you can use `git clone` command:

```bash
git clone https://github.com/envoyproxy/envoy-perf.git
cd envoy-perf/salvo
```

3. Install dependencies

Before using Salvo, you need to install its dependencies. The [install_deps.sh](./install_deps.sh) script can be used to install any dependencies required by Salvo.

```bash
./install_deps.sh
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```

4. Build Salvo

The next step is to build Salvo, Salvo can be built by [Bazel](https://docs.bazel.build/versions/main/install-ubuntu.html):

```bash
bazel build //...
```

5. Binary Benchmark Configuration

For an example, you committed two Envoy code changes to your forked repo "https://github.com/gyohuangxin/envoy" and the commit hashes were "c2e1c0d0da61f3fec25f48f8bd63e4a76db8a2a9" and "e95717bcd0672910826de4a9bb2f402f6e057b2c". Then you want to measure their performance change to Envoy v1.21.0 as the baseline and choose the commit which has the better performance.
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You can compose the configuration of Salvo as below:
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```yaml
remote: false
binaryBenchmark: true
environment:
outputDir: /home/ubuntu/nighthawk_output
testVersion: IPV_V4ONLY
images:
nighthawkBenchmarkImage: envoyproxy/nighthawk-benchmark-dev:latest
source:
- identity: SRCID_ENVOY
commit_hash: v1.21.0
additional_hashes: [c2e1c0d0da61f3fec25f48f8bd63e4a76db8a2a9, e95717bcd0672910826de4a9bb2f402f6e057b2c]
source_url: https://github.com/gyohuangxin/envoy.git
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bazelOptions:
- parameter: --jobs 16
- parameter: --define tcmalloc=gperftools
- identity: SRCID_NIGHTHAWK
source_url: https://github.com/envoyproxy/nighthawk.git
bazelOptions:
- parameter: --jobs 16
- parameter: --define tcmalloc=gperftools
```

The `environment.outputDir` is directory where benchmark results placed. And the `environment.testVersion` specify the ip address family to use, choose from "IPV_V4ONLY", "IPV_V6ONLY" and "ALL".

The `images.nighthawkBenchmarkImage` specifies the name of the docker image containing the benchmark framework and default test cases. If you want to provide your own test cases, you can create a directory and put test files like this [one](https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/test/test_discovery.py) into this directory, then add the directory path to `environment.testDir` field. The next section will introduce the details of test cases.

Salvo will search in the repo from `source.source_url` for each hash in the `source.additional_hashes` list, and choose the baseline version v1.21.0 from `source.commit_hash`. `source.commit_hash` field can be filled in a commit hash or a commit tag, which Salvo can judge automatically and search for.

Then Salvo will build each Envoy commit and the baseline version. You can add bazel options in `source.bazelOptions`, and they will be added as parameters to bazel command when building Envoy.

Finally you can also determine which Nighthawk version to use like Envoy's configuration, in this section we will build the latest Nighthawk version. You can find more details about configuration fields from [APIs definition](./api).

6. Details of test cases

The Benchmark Framework is developed via PyTest Framework. Therefore, the test cases file is defined as a python file contains the test cases. The [default test cases file](https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/test/test_discovery.py) provides an example to configure Nighthawk client/server, outputs and test cases.

There are two main parts in the test case file.

- `_run_benchmark` function:

At first, it defined a function named [`_run_benchmark`](https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/test/test_discovery.py#L20) to run the specific PyTest fixture, which will define the behavior of Envoy and [Nighthawk test server](https://github.com/envoyproxy/nighthawk/blob/main/source/server/README.md) to be tested, you can find fixture definitions from these two files:

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The portion saying "Nighthawk test server to be tested" makes it sound like we are testing the Nighthawk test server.

Can we rephrase this to avoid confusion? Also similarly to the discussion we had offline - it might be good to add a paragraph explaining the architecture of the test. I.e. we have Nighhawk, Envoy, Test server; we should explain their roles. (optional) We could even add a diagram.

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It makes sense, the explanation of their roles and a diagram will be helpful to understand, will rephrase it.


https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/envoy_proxy.py

https://github.com/envoyproxy/nighthawk/blob/main/test/integration/integration_test_fixtures.py

Then, the `_run_benchmark` function provides some configurable parameters used by Nighthawk client to send test requests, such as `rps`, `duration`, `request_body_size` and so on. By default, Nighthawk will use closed-loop mode, because closed-loop testing can be useful to get a sense of the maximum requests per second that can be squeezed out of a system (irrespective of the high latency incurred), as well as for comparing numbers with other load generators that use this methodology. More details about closed-loop mode: https://github.com/envoyproxy/nighthawk/blob/main/docs/root/terminology.md#closed-loop
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Finally, `_run_benchmark` function defines the format of result outputs after the benchmark is done.

- Test cases functions:

After `_run_benchmark` function defined, you can write the specific test cases to use it. Take [`test_http_h1_small_request_small_reply_via`](https://github.com/envoyproxy/nighthawk/blob/8d6947b2d4b41edf0ea95a811d129c7a81629b86/benchmarks/test/test_discovery.py#L87) as an example, it will setup a Nighthawk client as the frontend, the Envoy Proxy to be tested as the load balancer, and a Nighthawk test server as the backend. The configurations of Envoy and test server can be assigned with Python decorators. Then you can invoke `_run_benchmark` function with specific fixture and parameters.
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More test cases examples: https://github.com/envoyproxy/nighthawk/blob/8d6947b2d4b41edf0ea95a811d129c7a81629b86/benchmarks/test/test_discovery.py#L92-#L119

7. Run Salvo

To run Salvo, use the following command:

```bash
bazel-bin/salvo --job <path to>/<binary_benchmark>.yaml
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```

8. The Benchmark Result

Salvo creates a symlink in the local directory to the location of the output artifacts for each Envoy version tested.

```
~ envoy-perf/salvo# ls -l |grep source_url

lrwxrwxrwx 1 root root 80 Feb 7 02:17 source_url__c2e1c0d0da61f3fec25f48f8bd63e4a76db8a2a9 -> /home/ubuntu/nighthawk_output/source_url__c2e1c0d0da61f3fec25f48f8bd63e4a76db8a2a9
lrwxrwxrwx 1 root root 80 Feb 7 02:17 source_url__e95717bcd0672910826de4a9bb2f402f6e057b2c -> /home/ubuntu/nighthawk_output/source_url__e95717bcd0672910826de4a9bb2f402f6e057b2c
lrwxrwxrwx 1 root root 47 Feb 2 16:32 source_url__v1.21.0 -> /home/ubuntu/nighthawk_output/source_url__v1.21.0
```

In these directories, you can find benchmark results of different test cases, and the `nighthawk-human.txt` file provides the human-readable benchmark results from Nighthawk.

The benchmark results can be visualized via [Fortio's report-only UI](https://github.com/fortio/fortio#report-only-ui). The following is an example.

```
fortio report --data-dir /home/ubuntu/nighthawk_output/source_url__c2e1c0d0da61f3fec25f48f8bd63e4a76db8a2a9/2022-02-21-05-16-54/http_h1_small_request_small_reply_via_IpVersion.IPV4-nighthawk_test_integration_configurations_nighthawk_http_origin.yaml-nighthawk_benchmarks_configurations_envoy_proxy.yaml
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```

![fortio_report](./images/fortio_report.png)
12 changes: 8 additions & 4 deletions salvo/README.md
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Expand Up @@ -6,7 +6,11 @@ This is a framework that abstracts executing multiple benchmarks of the Envoy Pr

## Goals of Salvo

Salvo allows Envoy developers to perform A/B testing to monitor performance change of Envoy. Salvo provides the local excution mode allowing developers to run a benchark on their own machine and also provides the remote excution mode to run a benchmark on a remote machine, such as a remote CI system.
Salvo allows Envoy developers to perform A/B testing to monitor performance change of Envoy. Salvo provides the local execution mode allowing developers to run a benchmark on their own machine and also provides the remote execution mode to run a benchmark on a remote machine, such as a remote CI system.

## About this section

This section will give a brief overview of Salvo's building, usage and results. If you want to dive into using Salvo to measure Envoy's performance change with an A/B testing, please read the detailed workflow documentation: [ENVOY_DEVELOP_WORKFLOW.md](./ENVOY_DEVELOP_WORKFLOW.md)

## Dependencies

Expand All @@ -22,7 +26,7 @@ bazel build //...

## Benchmark Test Cases for Salvo

Benchmark test cases for Salvo are defined as Python files with test cases written in pytest framework, here is an example: https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/test/test_discovery.py. Users can provide thier own Python files of test cases into Salvo.
Benchmark test cases for Salvo are defined as Python files with test cases written in pytest framework, here is an example: https://github.com/envoyproxy/nighthawk/blob/main/benchmarks/test/test_discovery.py. Users can provide their own Python files of test cases into Salvo.

## Control Documents

Expand Down Expand Up @@ -72,7 +76,7 @@ images:
envoyImage: "envoyproxy/envoy:v1.21.0"
```

`remote`: Whether to enable remote excution mode.
`remote`: Whether to enable remote execution mode.

`dockerizedBenchmark`: It will run fully dockerized benchmarks.

Expand All @@ -84,7 +88,7 @@ images:

`environment.envoyPath`: Envoy is called 'Envoy' in the Envoy Docker image.

`images.reuseNhImages`: Whether to reuse Nighthawk image if it exsists on the machine.
`images.reuseNhImages`: Whether to reuse Nighthawk image if it exists on the machine.

`images.nighthawkBenchmarkImage`: The image of Nighthawk benchmarking tests.

Expand Down
Binary file added salvo/images/fortio_report.png
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