Quix Cloud
Quix Cloud provides everything a developer needs to build industrial-strength stream processing applications.
The components that make up the Quix Cloud enable developers to:
- Use a full web-based IDE with version control and logging, to build, deploy, and monitor their Python stream processing applications.
- Have abstracted access to underlying broker infrastructure, including fully-managed Kafka topics.
- Single-click deployment to the Quix serverless compute environment for hosting your web-based real-time streaming applications.
- Connect existing web applications and IoT clients.
In addition to providing a complete solution, Quix also enables you to leverage third-party providers if your use case requires it. For example, while Quix can host all your Git repositories, you can also configure your environments to use third-party providers for this purpose, such as GitHub, Bitbucket, and Azure DevOps.
Similarly, Quix provides Quix-hosted Kafka, but you can also use third-party solutions such as Confluent Cloud, Redpanda, Aiven, or self-hosted Kafka options.
Developing your stream processing application
The basic process for developing your stream processing pipeline is as follows:
- Create a project with at least one environment.
- Develop your application using the online IDE and Quix Streams. You can also develop locally if you prefer.
- Deploy your application.
- Manage your pipeline.
A simplified guide to Quix terminology:
| Term | Description |
|---|---|
| Project | This corresponds to a Git repository that contains all the code and configuration for your solution |
| Environment | This corresponds to a branch within the project, along with your selected Kafka hosting option |
| Quix Streams | The client library you can use to implement your application |
| Application | An application is deployed as a service in your processing pipeline |
| Pipeline | A pipeline consists of a sequence of stream processing services |
Use the following tiles to easily jump to the relevant section of this documentation.
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1. Create your project
Create a project (Git repository) with at least one environment (branch). You can optionally copy or fork a template project to get started more quickly with a specific use case.
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2. Develop your application
Use Quix Streams and Python to develop your application (service).
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3. Deploy your application
Deploy your application as a service in your stream processing pipeline.
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4. Manage your pipeline
Once all the services in a pipeline are deployed, your stream proecessing solution is fully operational