u/TutorHead7675

A startup approached us while setting up its cloud infrastructure. They wanted the right AWS architecture without overspending as they scaled.

What we worked on:

• Designed a scalable AWS architecture
• Set up secure cloud infrastructure
• Optimized compute and storage resources
• Implemented monitoring and best practices
• Identified opportunities for cost optimization

The result:

A cleaner, more secure, scalable AWS environment with better cost visibility.

The best part? For eligible startups, the engagement can be covered by AWS itself, so you can get expert guidance without adding consulting costs to your budget.

If you're setting up AWS, migrating from another cloud, or already dealing with a high AWS bill, feel free to DM us.

We can assess your infrastructure at no cost and identify potential optimization opportunities.

We work with early-stage startups as an AWS Partner and help with AWS setup, architecture, and cost optimization — at no additional cost for eligible engagements.

If you're just getting started, we can help you:

•Set up your AWS environment using best practices
•Identify ways to keep infrastructure costs under control
•Explore available AWS startup programs and credits
•Review your architecture for scalability and security

Already running on AWS and feel like your cloud bill is higher than it should be?

We also offer a no-cost AWS infrastructure assessment to identify potential areas for optimization and savings.

No hard sell — just a review of your current setup and some practical recommendations.

If you're a startup setting up AWS or struggling with your cloud costs, feel free to reach out or ask your questions here.

We recently worked with SoulTrps, a health and wellness platform handling video streaming, live sessions, and on-demand content.

As the platform grew, so did their AWS bill. Instead of just scaling up the existing infrastructure, we evaluated their workloads and found an opportunity to move from x86-based instances to AWS Graviton.

Rather than just scaling up the existing infrastructure, we migrated suitable workloads from x86 instances to AWS Graviton (M6g and C6g) and optimized the environment around them.

The results:
• 30% lower infrastructure costs
• 20% faster application response
• Better resource utilization
• More stable performance during traffic spikes
• Improved scalability for live sessions

What we liked about this project was that the savings didn't come from compromising on performance — performance actually improved while the infrastructure cost went down.

We're sharing more of our real AWS implementations here, including what worked, what we changed, and the results.

Full case study: https://maximyzcloud.com/case-study/soultrps-aws-graviton/

Has anyone here migrated production workloads from x86 to Graviton? Would be interesting to hear what kind of cost/performance difference you saw.

Sharing one of the AWS projects our team at Maximyz Cloud recently completed with RupeeCircle, a peer-to-peer lending platform.
The challenge was pretty straightforward: as the platform scaled, managing infrastructure, security, monitoring, patching, and compliance manually was becoming difficult.
We helped them move towards a more automated and reliable AWS setup using services like AWS Systems Manager, Control Tower, CloudWatch, CloudTrail, EC2 Auto Scaling, and RDS Multi-AZ.
The results:
• 80% less manual operational work
• 60% faster incident resolution
• Patch compliance went from 60% → 100%
• 25% reduction in operational costs
• 99.99% platform uptime
We're going to use this community to share more of the projects we're working on, including the architecture decisions, challenges, and actual outcomes.
Here's the full case study if anyone wants to take a look:
https://maximyzcloud.com/case-study/rupeecircle-a-peer-to-peer-lending-platform/