kubitin

Kubitin is a fictional open-source data orchestration framework designed for building, scheduling, and executing data pipelines on containerized environments, with a focus on Kubernetes. It provides a declarative pipeline language and a pluggable runtime that supports both batch and streaming workloads.

The core concepts revolve around a graph-based execution model where pipelines consist of tasks and dependencies. A scheduler coordinates task dispatch, retries, and backpressure, while an execution engine manages task lifecycle and state. Kubitin offers a plugin system to integrate with data stores, message queues, and compute backends, with support for plugins written in Python, Go, and JavaScript. Pipelines are defined in a YAML-based Pipeline Definition Language (PDL) describing tasks, inputs, outputs, resource requests, and triggers.

Key features include Kubernetes-native deployment via an operator, multi-tenant isolation, observability through metrics and tracing, and built-in failure handling with checkpointing and retries. The system supports autoscaling, schema validation, and testing harnesses to simulate pipeline runs. It emphasizes portability through abstracted storage adapters and environment configuration, enabling execution across on-premises and cloud clusters.

Common use cases include ETL and ELT workflows, data ingestion pipelines, feature pipelines for machine learning, and event-driven processing. While kubitin aims to offer a streamlined alternative to established schedulers, it is less mature than long-running projects and relies on a growing ecosystem of plugins and community support.

See also: Apache Airflow, Kubernetes, Data pipeline, DAG (directed acyclic graph) scheduling.