Kedro on Ubuntu 26.04 with maintenance support by bCloud

Kedro on Ubuntu 26.04 with Free Maintenance Support by bCloud

Kedro on Ubuntu 26.04, with maintenance support from bCloud, is a repackaged open-source data engineering framework available through cloud marketplaces (additional charges may apply for support). Kedro is a production-ready Python framework designed for building modular, reproducible, and scalable data science and machine learning pipelines.

This pre-configured Kedro environment on Ubuntu 26.04 enables data scientists, machine learning engineers, and developers to quickly create, manage, and deploy structured data pipelines with minimal setup effort on cloud infrastructure such as AWS EC2.

Keywords of Kedro

• Data science pipeline framework
• Machine learning workflow orchestration
• Reproducible data pipelines
• Modular project structure
• Config-driven development
• Production-ready ML engineering
• Dataset catalog management
• Scalable data workflows
• Open-source Python framework

Core Technical Capabilities of Kedro

Pipeline Architecture

Kedro enforces a structured pipeline design that separates data processing steps into modular nodes and pipelines.

• node-based pipeline execution
• clear separation of logic and configuration
• reusable pipeline components

Reproducibility and Version Control

Kedro ensures consistent results across environments by enforcing project structure and configuration management.

• deterministic pipeline execution
• environment consistency
• Git-friendly project structure

Data Catalog Management

Kedro provides a centralized data catalog to manage datasets across pipelines.

• YAML-based dataset definitions
• support for CSV, Parquet, databases, APIs
• easy data input/output handling

Config-Driven Development

Kedro uses configuration files to manage parameters and environments.

• environment-based configs (dev, prod, test)
• parameterized pipelines
• flexible project customization

Production-Ready Data Engineering

Kedro is widely used to transition machine learning prototypes into scalable production systems.

• pipeline orchestration support
• integration with Airflow, Spark, and cloud tools
• robust testing and validation support

Cloud-Optimised Advantages

Pre-Configured Environment

The Kedro environment provides:

• pre-installed Kedro on Ubuntu 26.04
• ready-to-use data engineering setup
• reduced installation and configuration time

Cloud Infrastructure Compatibility

Kedro projects can be deployed and managed using standard cloud tools:

• EC2 for compute workloads
• S3 for dataset storage
• Docker for containerized pipelines

Deployment and Workflow Management

Kedro supports modern data workflows in cloud environments:

• CI/CD integration for pipelines
• automated pipeline execution
• scalable production deployments

Maintenance Support (bCloud)

Optional bCloud support may include:

• environment setup and updates
• pipeline troubleshooting
• deployment and operational assistance

Support beyond the open-source Kedro framework may incur additional charges.