LaunchFlow was designed with common use cases in mind. Most users productionize their system the same day they start.
seconds to deploy your first application
lines of code to support most use cases
different cloud providers supported
connectors and growing
The LaunchFlow VSCode Extension combines the best of local and remote development.
Use the extension to quickly build a system template tailored to your use case, then test locally or deploy to the cloud with a single click.
Automatically provision cloud infrastructure from your application's code.
Our connectors integrate with Pulumi to automatically keep your infrastructure in sync with your application code. You can manage infrastructure across multiple cloud providers via the LaunchFlow VSCode Extension.
Everything in the LaunchFlow ecosystem is serverless by default.
No need to worry about servers, containers, or clusters. Just write your application code and let LaunchFlow handle the rest.
Our VSCode extension is preloaded with production-ready templates for real-time IoT, Machine Learning, and Security applications.
Train & Deploy a ML model to serve predictions for both real-time and batch use cases.
Your model will automatically scale up to handle any size workload, and scale down during periods of low usage.
Ingest & analyze large amounts of data (application logs, events, etc.) from a variety of sources.
It only takes a few lines of Python code to integrate with your existing systems.
Serve real-time data to your users with sub-second latency.
Supports both Websockets and HTTP.