Prefect
Prefect offers a modern workflow orchestration platform tailored for data and ML engineers, providing full observability, seamless deployment, and extensive automation features.
Services
Prefect offers a platform specifically for modern workflow orchestration tailored for data and ML engineers. The platform provides a control panel for full observability into workflows, enabling users to orchestrate code with features such as scheduling, automatic retries, and prioritized instant alerting. This service supports pure Python code, allowing users the flexibility to write code without needing to adhere to boilerplate or strict Directed Acyclic Graphs (DAGs). Prefect’s platform also includes interactive workflows, which permit running jobs to accept typed inputs either programmatically or manually through forms.
Features
Prefect boasts several key features that enhance the functionality and reliability of workflows. Users benefit from quick recovery from failures due to custom retry behaviors, caching, and extensive automation capabilities. The platform allows for seamless local development and production deployment, ensuring ease in transitioning workflows. It also offers configurable execution environments, where users can choose and configure the infrastructure their code runs on. Additionally, Prefect provides complete visibility into workflows through its control panel and includes metrics and incident management features to help manage and resolve critical failures efficiently.
Integration
Prefect integrates with Modal to ensure fast startup times and the autoscaling of workloads without requiring extensive configuration. This integration enhances the scalability and efficiency of workflows. Prefect also offers Prefect-managed compute, giving users access to free compute hours monthly across different account tiers. This feature is significant for users who need scalable compute resources without the overhead of managing the infrastructure themselves.
Workflow Management
Prefect's platform is designed to give data and ML engineers full control over their workflows. With features including automatic retries, prioritized alerting, and flexible scheduling, users can orchestrate their workflows without worrying about boilerplate or strict DAGs. The platform’s ability to handle custom code and its support for interactive workflows enhances developers’ ability to tailor workflows to their specific needs. Prefect also prioritizes observability and incident management, making it easier to declare incidents, assess impact, document actions, and resolve failures while keeping stakeholders informed.