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Accelerate your AI/ML model deployment with MLOpsCrew’s professional service that delivers scalable, secure, production-grade infrastructure on AWS - including EC2, Auto Scaling, CloudWatch monitoring, and HTTPS-ready endpoints.
Overview
MLOpsCrew’s Rapid Deployment Service is built for businesses and teams who want to move from model development to a fully operational production environment on AWS - fast and reliably.
We use proven MLOps practices to deploy your models on AWS EC2 instances, set up auto-scaling groups, secure HTTPS endpoints, and ensure health monitoring and logging with AWS CloudWatch.**
Our technical stack includes:
- Auto-scaling EC2 instances for high availability and cost efficiency
- HTTPS-secured REST or gRPC endpoints for model inference
- Health check APIs to monitor deployment status
- Logging and metrics with AWS CloudWatch
- GitHub Actions CI/CD pipeline for fast, reliable updates
- SSL/TLS encryption for secure communication
- Infrastructure-as-code support for consistent, repeatable deployments
This service is perfect for teams that have trained models but lack the time or resources to set up secure, scalable, and monitored cloud infrastructure. Whether you’re a startup or an enterprise, MLOpsCrew helps you go live on AWS within days.
Want to learn more about how we apply MLOps in real-world deployments? Visit our blog: https://www.mlopscrew.com/blog
Highlights
- Rapid AWS Deployment: Get your AI/ML models live on AWS EC2 with auto-scaling in days
- Production-Ready AWS Infrastructure: Secure HTTPS endpoints with AWS Cloud-watch monitoring and health checks.
- Complete AWS Integration: Seamless integration with AWS services including EC2, CloudWatch, and auto-scaling groups
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
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Support
Vendor support
Customer Support Commitment:
Support Level: Professional technical support with initial setup walkthrough and post-deployment help
Contact details:
- Email: cloudsupport@mlopscrew.com
- Support Hours: Monday to Friday, 10 AM to 7 PM IST
- Response Time: Within 24 hours on business days (Emergency support available)
- Contact Form: https://www.mlopscrew.com/pricing-package
What We Support:
- AWS EC2 instance configuration and optimization
- AWS CloudWatch monitoring and alerting setup
- Auto-scaling group configuration and management
- SSL/TLS certificate setup and renewal
- GitHub Actions CI/CD pipeline for AWS deployment
- 3 days of post-deployment Slack support
- Live walkthrough
Frequently Asked Questions (Q&A):
Q1: What is AI/ML model deployment on AWS?
A: It means running your trained model on AWS using EC2, Auto Scaling, and CloudWatch so it’s secure, accessible online, and can automatically scale to handle more traffic.
Q2: Will my model deployment be secure?
A: Yes. We use HTTPS to encrypt communication, set up access controls, and follow AWS security best practices to protect your model and data.
Q3: Can this deployment handle traffic spikes?
A: Absolutely. With Auto Scaling enabled, your AWS setup will automatically increase or decrease the number of servers based on traffic load.
Q4: Will my deployment include CI/CD?
A: Yes. We set up GitHub Actions for automatic deployment updates whenever you push changes to your model code or configuration.
Q5: Can you set up alerts if something breaks in production?
A: Yes, we use AWS CloudWatch to set up real-time monitoring and alerts for errors, high latency, or instance failures.
Q6: Do you offer emergency support?
A: Yes, for critical issues, you can reach us through email and we’ll prioritize emergency response during business hours.