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Enable Self-Service Data Infrastructure Without Losing Control

Transform your platform team from a deployment bottleneck into an innovation enabler. Give teams the autonomy they need while maintaining security, control, and cost efficiency.

Why Platform Teams Choose Prefect

  • Save over 70% on data platform infrastructure costs
  • Enable self-service deployment for data and ML teams
  • Maintain security and compliance standards
  • Standardize infrastructure patterns across teams
data_infra.py
data_infra.py
1from prefect.infrastructure import KubernetesJob
2from prefect.filesystems import S3
3
4# Define reusable infrastructure patterns
5standard_compute = KubernetesJob(
6    image="my-org/data-science:latest",
7    service_account_name="prefect-worker",
8    resource_limits={"memory": "16G"}
9)
10
11# Secure storage configuration
12secure_storage = S3(
13    bucket="my-org-workflows",
14    credentials="prod-storage-block"
15)
Testimonial
Prefect allows us to create a microservices-like architecture for our data pipelines, essentially acting as a contract between independent teams.
Nelson Griffiths
Nelson Griffiths
Engineering Lead, Double River Investments

Trusted by Enterprise Platform Teams

Infrastructure Flexibility

Automatically deploy, scale, and manage workflows across multi-cloud infrastructure using native cloud and Kubernetes integrations.

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Governance & Control

Securely govern workflows with centralized audit logs, object-level access controls (RBAC & SCIM), and secure credential management.

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Cost Optimization

Track and optimize infrastructure spend through dynamic scaling, team-based cost allocation, and detailed resource utilization control.

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Team Productivity

Deploy workflows to production faster with standardized patterns and self-service capabilities that reduce team overhead.

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flow.py
1import httpx
2from prefect import flow
3
4
5if __name__ == "__main__":
6    flow.from_source(
7        source="https://github.com/prefecthq/demos.git",
8        entrypoint="flow.py:get_repo_info",
9    ).deploy(
10        name="my-first-deployment",
11        work_pool_name="my-managed-pool",
12        cron="0 1 * * *",
13    )

Operational Excellence

Monitor and maintain high-availability production workflows with automated recovery, performance tracking, and SLA management.

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Enable Data Teams While Maintaining Control

  • Standardize: Define reusable infrastructure patterns
  • Secure: Implement consistent security controls
  • Scale: Automatically adjust to workload demands
  • Monitor: Track resource usage and costs
test
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Hear From Our Users

Wendy Tang, Machine Learning Engineer, Cash App

We took all the Prefect features and designed an architecture that really works for our infrastructure provisioning and our organization.

Data Platform Engineer, Kraft Analytics Group

Prefect gives us the granular flexibility to build a custom platform that would work for our entire organization, without needing a bloated infra architecture.

Sunny Pachunuri, Data Engineering and Platform Manager, Endpoint

The Data Engineering and MLOps teams were impressed by the elimination of retrofitting requirements. Switching from Astronomer to Prefect resulted in a 73.78% reduction in invoice costs alone.

Ready to Make Your Platform Team More Effective?

  • ✓ Enable self-service without losing control
  • ✓ Reduce infrastructure costs
  • ✓ Maintain security and compliance
  • ✓ Accelerate team productivity

Learn More About Prefect

Four Infrastructure Trends Reshaping Modern Systems - Chris Riccomini Keynote
A Platform Approach to Workflow Orchestration
Modern Orchestration: Endpoint’s evolution from Airflow to Prefect

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