Choose AWS if
- You need 200+ managed services in one ecosystem.
- You have dedicated cloud engineers or DevOps resources.
- You are deeply invested in the AWS ecosystem already.
- You need enterprise procurement, SOC2, and compliance tooling from day one.
AWS hands you 200+ services and an IAM maze to wire together, then keep alive. On redu, you point your agent at a repo and it deploys to a real cloud with a live URL, provisioning the VM and managed database as it goes. When something breaks, your agent can SSH into the running machine, fix it in place, and keep your app running, no 2am scramble. It gives infra people a force multiplier and lets a non-expert ship too. Predictable hourly pricing, EU data residency.
AWS offers everything. redu.cloud offers the core resources most startups need, with AI agents that provision infrastructure for you.
The right choice depends on your team size, cloud expertise, architecture requirements, and how much complexity you want to manage in-house.
Proof, not claims: watch an AI agent deploy real infrastructure on redu, then SSH in and fix a live deploy, at redu.cloud/deploys. Or see the head-to-head, the same privacy-first deployment run by the agent on redu.cloud and AWS side by side, with video and full transcripts, at redu.cloud/compare/the-proof.
AWS is a mature, extremely broad cloud platform. For teams that are already invested in AWS, need enterprise compliance, or require services that only AWS provides, the complexity is worth it.
AWS is hard to beat if you need specialised managed services across data, analytics, enterprise integrations, AI, security tooling, and global cloud products all from one provider.
If your developers and operators know AWS well (IAM, EKS, CloudFormation, cost optimisation), that existing knowledge is a real advantage that changes the complexity calculus.
If your product depends on AWS-native services like Bedrock, SQS, Kinesis, or DynamoDB, staying inside AWS reduces integration friction and keeps latency low.
Large companies often choose AWS because it fits enterprise buying, governance, SOC2, FedRAMP, and organisational procurement processes that smaller providers may not support.
Most startups do not need every service AWS offers on day one. They need infrastructure that works, pricing that is predictable, and AI agents that can automate the rest.
AWS has plenty of official MCP servers, but they mostly help your agent manage AWS resources across a 200-service surface. redu.cloud is built so your agent runs the whole path: provision a VM and a managed database, deploy your app to a live URL, then SSH into the running machine to fix it when it breaks. Real infrastructure, not a sandbox.
AWS bills for EBS, NAT gateways, data transfer, Elastic IPs, and inter-AZ traffic separately. Real bills run 30-60% above what instance-hour pricing suggests. redu.cloud pricing covers the resources you actually provision.
Small teams should be shipping product, not wiring IAM roles, designing VPC subnets, or choosing between 23 EC2 instance families. redu.cloud keeps the starting point simpler without giving up real cloud capability.
redu.cloud runs on standard infrastructure primitives. You are not accumulating AWS-specific API debt that makes future moves expensive.
Do not choose based on brand size. Choose based on your actual workload, team size, and how much cloud complexity you are willing to own.
The best comparison is your real workload. Use the redu.cloud pricing calculator to estimate compute, storage, bandwidth, and networking costs, with no hidden NAT gateway line items.
Practical answers for startups comparing AWS with redu.cloud in 2026.
Both have MCP. AWS ships a large family of official MCP servers (awslabs) plus a generally available MCP Proxy with SigV4 auth, covering Lambda, ECS, EKS, RDS, documentation, and Bedrock AgentCore for hosting agents. Those mostly help an agent manage AWS resources across its 200-service surface. redu.cloud takes an agent through the whole deploy path instead: it provisions a VM and a managed database, deploys your app to a live URL, and can SSH into the running machine to operate and fix it. Included in the platform at no extra charge.
AWS bills for compute, EBS storage, NAT gateways, data transfer (in, out, and inter-AZ), Elastic IPs, load balancers, and monitoring separately. In practice, total bills run 30-60% above instance-only estimates. A realistic 10-instance EC2 setup with standard networking and an ALB runs around $1,380/month, with only 53% of that being instance hours.
Not for every workload. AWS has a much broader service catalogue. redu.cloud focuses on core cloud infrastructure (instances, networks, volumes, clusters, managed databases, Redis, backups, and snapshots) built for startups that want to move fast without hyperscaler-level complexity.
Often, yes. AWS is strong for enterprises that need a vast ecosystem, mature procurement paths, many managed services, compliance certifications, and teams with dedicated cloud specialists.
A startup may choose redu.cloud when it wants real cloud resources, predictable pricing, a native MCP server for AI agent workflows, and less operational complexity early on, without hiring a cloud specialist to get started.
Yes. The goal is not to force an all-or-nothing migration. Teams can use redu.cloud for core infrastructure and compute while keeping specific AWS services where they genuinely add value.
Create an account, test real cloud infrastructure with AI agent control, and decide using your own workload, not a generic benchmark.
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