I will deploy django, fastapi or flask app on AWS ec2, ecs, lambda with docker
Expert in backtesting trading strategies and Full Stack Development
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Are you looking to harness the power of cloud to deploy your Python-based Application?
Look no further! I specialize in deploying Django, FastAPI and Flask applications to AWS. Providing you with a scalable, cost-effective, and fully managed solution.
What I Offer:
- Cloud Deployment
- Serverless Deployment
- Containerized Deployment
- Optimized Performance & Scalability
- Comprehensive Documentation & Handoff
Who Is This For?
- Developers & Tech Enthusiasts who have built a python application locally and want to deploy to a AWS to make it publicly available.
- Product Owners if you're launching a new product and require a lean, cost-effective deployment so you can focus on features and growth rather than DevOps.
- Anyone who tired of EC2 bills or you want near-zero idle costs, a Lambda-based FastAPI setup delivers pay-per-use billing, auto-scaling, and minimal overhead.
Cloud provider:
Amazon Web Services
Cloud computing resource:
EC2
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Lambda
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ELB
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ECS
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RDS
My Portfolio
FAQ
Which AWS services do you support for deploying my FastAPI app?
I can deploy your FastAPI application to Amazon EC2, Amazon ECS (Fargate or EC2-backed), and AWS Lambda (with API Gateway). I’ll help you choose the best option based on your performance, cost, and scaling requirements.
How long does a typical deployment take?
Most basic deployments (FastAPI → Lambda or EC2) can be completed within 1–2 days after kickoff. More complex setups—such as ECS with blue/green deployments, CI/CD pipelines, or VPC integration—may take 3–5 days, depending on your requirements.
Will you containerize my application?
Yes. For ECS and EC2 deployments, I’ll build and test a Docker container for your FastAPI app. If you choose Lambda, I can either deploy a zipped package or use a container image as the deployment artifact—whichever fits your workflow best.
Do you offer post‑deployment support?
I provide a 7‑day support window after delivery to address any bugs, questions, or minor tweaks. Extended maintenance or support retainer packages can be arranged if you need longer‑term assistance.

