Overview

Quix Cloud is a comprehensive cloud-based platform designed for deploying, collaborating, and observing real-time data pipelines, providing everything a developer needs to build industrial-strength stream processing applications.

The components that make up the Quix Cloud enable developers to:

Streamline Development and Deployment:
- Simplify the development and deployment of data pipelines with integrated online code editors and CI/CD tools.
- Use YAML synchronization features to define pipelines and environment variables as code (IaC).
Enhance Collaboration:
- Efficiently collaborate with multiple users through organization and permission management.
- Increase project visibility and assign permissions to various projects and environments.
Monitor and Observe in Real-Time:
- Gain deep insights into pipeline performance with real-time logs, metrics, and data explorers.
- Monitor real-time data metrics, consumer lag, and other critical metrics.
Scale and Manage Flexibly:
- Easily scale resources, adjust replicas, and manage CPU and memory for pipelines.
- Handle multiple environments and link them to Git branches for streamlined environment management.
Ensure Security and Compliance:
- Securely manage secrets and sensitive information.
- Ensure compliance with dedicated infrastructure options and Service Level Agreements (SLAs).
Access Development Tools:
- Utilize online code editors, code templates, and connectors for relevant data sources and sinks.
- Leverage support for DevContainers for enhanced development workflows.
Explore and Visualize Data:
- Use data explorers to query and explore data using waveform and table views.
- Visualize messages in data topics and track metrics with real-time data monitoring.
Implement Robust CI/CD Processes:
- Integrate with any Git provider (e.g., GitHub, Bitbucket, Azure DevOps) for seamless CI/CD processes.
- Synchronize changes using GitHub actions and CLI commands.
Leverage Quix-Hosted and Third-Party Kafka Options:
- Use Quix-hosted Kafka for seamless integration.
- Alternatively, leverage third-party solutions such as Confluent Cloud, Redpanda, Aiven, or self-hosted Kafka options.
Leverage Dedicated/BYOC Options:
- Run pipelines on dedicated, private infrastructure with historical logs and metrics.
- Visualize metrics using Grafana dashboards and access private code samples specific to your organization.

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
Application	An application is deployed as a service in your processing pipeline
Pipeline	A pipeline consists of a sequence of stream processing services
Quix Streams	The client library you can use to implement your application

Use the following tiles to easily jump to the relevant section of this documentation.

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.

Create a project
2. Develop your application

Use Quix Streams and Python to develop your application (service).

Develop your application
3. Deploy your application

Deploy your application as a service in your stream processing pipeline.

Deploy your application
4. Manage your pipeline

Once all the services in a pipeline are deployed, your stream proecessing solution is fully operational

Manage your pipeline