Predator manages the entire lifecycle of stress-testing servers, from creating performance tests, to running these tests on a scheduled and on-demand basis, and finally viewing the test results in a highly informative and live report.
It has a simple, one-click installation, built with support for Kubernetes, DC/OS and Docker Engine, and can persist the created performance tests and their reports in 5 different databases. It also supports running distributed load out of the box. Bootstrapped with a user-friendly UI alongside a simple REST API, Predator helps developers simplify the performance testing regime.
Installation | Site | Documentation | API Reference | API Tests Examples
-
Distributed load: Predator supports an unlimited number of load generators that produce multiple load runners concurrently.
-
Real time reports: Predator aggregates all concurrent runs into a single beautiful report in real time (latency, rps, status codes and more).
-
Built for the cloud: Predator is built to take advantage of Kubernetes and DC/OS. It's integrated with those platforms and can manage the load generators lifecycles by itself.
-
One click installation: Predator can be installed with just one click in Kubernetes and DC/OS, or on any other machine running Docker.
-
Supports 5 Different databases: Predator provides out-of-the box functionality for persisting data in Cassandra, Postgres, MySQL, MSSQL and SQLITE.
-
Scheduled jobs: Predator can run recurring tests using cron expressions.
-
3rd partry metrics: Predator comes integrated with Prometheus and Influx. Simply configure it through the predator REST API or using the UI.
-
Rich UI: Predator offers a rich UI along with a powerful REST API.
-
Based on artillery.io: Predator uses artillery as its load engine to fire the requests. The schema for creating tests via the Predator REST API is based on the artillery schema.
Predator is designed to seamlessly deploy into your Kubernetes cluster. Install Predator from the Helm Hub
Predator is included in Mesosphere Universe. Please refer to https://universe.dcos.io/#/package/predator/version/latest for a quick start guide and examples for installing the package.
docker run -d -e JOB_PLATFORM=DOCKER -e INTERNAL_ADDRESS=http://$MACHINE_IP:80/v1 -p 80:80 --name predator -v /var/run/docker.sock:/var/run/docker.sock zooz/predator
where $MACHINE_IP=local ip address of your machine
Predator runs using Docker. In order to run Predator locally, clone this repository and then run the following command:
runPredatorLocal.sh
or refer to the Docker instructions above.
Run npm test in order to run tests in your local machine. The script runs the following tests:
- lint
- unit-tests
- integration-tests
The path for accessing the Predator UI is: http://localhost/ui (in the case that Predator is running locally under port 80)
In case Predator is not running under the root domain, (for example, running under http://your.domain.com/example-path) in order to access the UI follow the below steps:
docker build --build-arg BUCKET_PATH=example-path . -t predator- Deploy the tagged docker image to your preferred platform
- Access the Predator UI at http://your.domain.com/example-path/ui
In case you host Predator's docs website on a different URL ( for example, Predator runs in a closed network without access to the internet ) you can configure the docs link in the UI using the PREDATOR_DOCS_URL build-arg.
if PREDATOR_DOCS_URL was not specified, the default value is https://zooz.github.io/predator.
docker build --build-arg PREDATOR_DOCS_URL=http://your.predator.docs.com/example-path . -t predator- Deploy the tagged docker image to your preferred platform
- One should be redirected to
http://your.predator.docs.com/example-pathwhen clicking the on the docs link in the UI side menu.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For a complete list of Docker images of this project please visit our docker hub repository.
For topics that are better discussed live, please join the Predator Slack workspace.
This project is licensed under the Apache License 2.0 - see the LICENSE.md file for details