HATPaz

HATPaz is an open-source framework for distributed task processing and workflow orchestration, designed to enable scalable execution of asynchronous jobs across heterogeneous environments. The project began in 2018 when a small team of developers sought to unify task scheduling, execution, and monitoring under one extensible platform, and it has since attracted a community of contributors worldwide.

The architecture centers on a scheduler, worker agents, a broker for message transport, and an API/UI layer. It supports multi-region deployments and can use traditional queues such as RabbitMQ or Kafka, with a pluggable persistence layer for SQL or NoSQL backends. Redundancy is achieved through leader election and replicated state, enabling high availability and resilience to node failures.

Core features include task orchestration with dependencies, retries and backoff policies, timeouts, and support for long-running workflows. It provides event streaming hooks, metrics, logging, and role-based access control. The system emphasizes idempotent task execution to minimize duplicated work in failure scenarios and offers tooling for monitoring and troubleshooting.

History and reception: The project released version 1.0 in 2018, followed by major updates in 2020 and 2021 that expanded interoperability and observability capabilities. It has seen adoption among mid-sized enterprises and academic projects for data processing, ETL, and background job processing. Some users note the learning curve and complexity of configuring production deployments.

Governance and licensing: HATPaz is released under the Apache 2.0 license. The project uses a merit-based governance model with core maintainers and community contributors, and it documents its roadmap and contribution guidelines on its official website.