Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Flyte is an open-source, Kubernetes-native workflow orchestration platform used to build, run, and manage complex data and machine learning pipelines reliably at scale.
Overview
Cloud-Native Workflow Orchestration with Flyte
Flyte is an open-source, Kubernetes-native workflow orchestration platform designed to build, execute, and manage complex data, machine learning, and analytics pipelines at scale. It enables developers and data engineers to define workflows as code while ensuring reliability, reproducibility, and strong version control across distributed systems.
Built for modern cloud environments, Flyte provides a robust execution engine that supports dynamic scaling, task isolation, and fault tolerance. It helps organizations standardize their data workflows and ML pipelines, ensuring consistent execution across development, staging, and production environments.
Flyte is widely used in data engineering and machine learning workloads where reliability and scalability are critical. It integrates seamlessly with Kubernetes and supports containerized task execution, making it highly portable across cloud providers and on-premise infrastructure.
With features like versioned workflows, type-safe interfaces, and strong observability, Flyte simplifies the orchestration of complex pipelines while maintaining transparency and control over execution.
Key Features
- Kubernetes-native workflow orchestration platform.
- Supports data, ML, and analytics pipeline automation.
- Strong versioning and reproducibility of workflows.
- Type-safe workflow and task definitions.
- Scalable execution with container-based isolation.
- Fault-tolerant and production-grade reliability.
- Seamless integration with cloud and hybrid environments.
Highlights
- Kubernetes-native workflow orchestration platform.
- Supports data, ML, and analytics pipeline automation.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t2.large | $0.03 |
t3.large | $0.03 |
r4.large | $0.03 |
r3.large | $0.03 |
t3.nano | $0.03 |
t2.2xlarge | $0.03 |
t2.medium | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #flytectl version
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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