🤖 AWS Infrastructure for AI Agents
Deploy AI agents on AWS like a pro
ECS Fargate. SQS task queues. DynamoDB state. S3 artifacts. Scale from 1 to 500 agents.
Why AWS for AI agents (not Replit, not Heroku, not Railway)
Real numbers from system in production with 50+ active agents. Full case study available under NDA.
Technical Architecture
How it works: AWS architecture for multi-agent systems
Complete stack for orchestration, state management, task distribution, artifact storage, monitoring. Production-ready, not PoC.
ECS Fargate: Agent Runtime
Each agent runs in isolated Docker container. Fargate manages infra, you just define resources (CPU/RAM). Auto-scaling based on SQS queue depth. Automatic health checks. Centralized logs in CloudWatch. t4g.medium (2vCPU, 4GB) sufficient for standard agents.
SQS: Task Distribution
FIFO or Standard queue depending on case. Agents consume tasks from queue, process, mark complete. DLQ for failed tasks. Configurable visibility timeout. Unlimited scale (millions msgs/second). Guarantees no-task-loss with at-least-once delivery.
DynamoDB: Agent State & Results
Single-table design for agent state, task history, results. On-demand mode (pay per request, no provisioning). Automatic TTL for temporal data. Global tables if multi-region. Automatic point-in-time backups. Sub-10ms typical query latency.
S3: Code Artifacts & Context
Versioned buckets for agent code, dependencies, context files. Lifecycle policies to archive old artifacts to Glacier. CloudFront CDN if agents download artifacts frequently. Encryption at-rest with KMS. Cross-region replication for DR.
Real case: AI agents platform with 50+ instances in production
Pre-seed startup deploying multi-agent architecture for dev task automation. System running 4 months, $1,050/month AWS cost with optimization.
Startup wanted to offer AI agents as a service. Replit Agents: $40/agent × 50 = $2,000/month without customization. Heroku: $25/agent × 50 = $1,250/month with vendor lock-in. Needed total control, predictable costs, and scale to 500+ agents.
ECS Fargate Spot instances (-70% cost vs on-demand). SQS Standard (not FIFO, cheaper). DynamoDB on-demand with 7-day TTL. S3 Intelligent-Tiering. Custom CloudWatch dashboards. GitHub Actions for CI/CD. Complete stack in AWS CDK TypeScript.
Real cost Feb 2026: $1,050/month (50 agents active 12h/day average). Vs Replit: $950/month savings (-48%). Auto-scaling tested to 200 agents without config changes. Cold start <30sec. 99.94% uptime (one incident in 4 months). Zero vendor lock-in.
Agent runtime: Node.js 20 with Anthropic SDK. Multi-stage Dockerfile optimized (<200MB). CDK stack: 450 lines TypeScript. CI/CD: GitHub Actions deploy on merge to main. Monitoring: CloudWatch Logs Insights + custom metrics. Alerting: SNS → Slack.
What We Include
Implementation packages: from fast-track to enterprise-grade
Choose based on urgency, budget and compliance requirements. All include complete IaC (CDK or Terraform) and knowledge transfer.
Fast Track (2 weeks, from $6,000)
Functional basic infrastructure. Includes: ECS Fargate, SQS, DynamoDB, S3, CloudWatch, basic CI/CD. Sufficient for PoC or MVP. Does not include: VPC isolation, WAF, automated backups. Ideal for validating product before investing in complete hardening.
Production-Ready (4-6 weeks, from $14,000)
Complete production hardening. Includes all Fast Track + private VPC, NAT Gateway, Application Load Balancer, WAF with rate limiting, automated backups, disaster recovery plan, security audit, load testing report. Compliance: GDPR ready.
Enterprise-Grade (8-10 weeks, from $30,000)
For regulated industries or high-scale. Includes all Production-Ready + multi-region deployment, auto-failover, SOC2/ISO27001 documentation, penetration testing, dedicated support SLA, quarterly cost optimization reviews. Compliance: SOC2, ISO27001, HIPAA possible.
Managed Service (from $1,500/month)
We manage your infra 24/7. Includes: proactive monitoring, incident response <30min, continuous cost optimization, security patches, capacity planning, monthly reports. Your team focuses on product, we focus on infra. Cancel anytime.
Migration from SaaS to AWS (3-8 weeks)
Migrating from Replit Agents, Railway, Heroku, Render? We move you to AWS maintaining functionality, reducing cost 40-60%, eliminating vendor lock-in. Includes: data migration, exhaustive testing, rollback plan, cost comparison report.
Custom AI Agent Development
Not just infra. We also develop custom agents with Claude, GPT-4, Gemini. Stack: LangChain/CrewAI/Custom. Use cases: automated QA testing, code review agents, documentation generation, customer support automation. From $10,000 per custom agent.
Implementation process: from requirements to production
Agile methodology with weekly sprints. Full visibility of progress. Continuous iteration until you're 100% satisfied.
1. Discovery & Architecture (1 week)
Understand your agents: what they do, how many concurrent users, data sensitivity, compliance needs. Design specific AWS architecture. Output: technical diagram, proposed stack, monthly AWS cost estimate, implementation roadmap.
2. Base Infrastructure Setup (1-2 weeks)
Deploy core infrastructure: VPC, ECS cluster, SQS queues, DynamoDB tables, S3 buckets, IAM roles. Everything in CDK/Terraform for reproducibility. Configure CI/CD pipeline. First functional version of agent runner deployed.
3. Agent Integration & Testing (1-2 weeks)
Integrate your agent code with infra. Containerize if not already. Testing: unit, integration, load testing (simulate 10x expected load). Cold start optimization. Health checks and auto-recovery configured.
4. Hardening & Launch (1-2 weeks)
Security review, WAF rules, monitoring dashboards, alerting (SNS + Slack/PagerDuty), documented runbooks, tested disaster recovery. Knowledge transfer to your team (4h training session). Production launch with 24/7 monitoring first week.
Real AWS cost breakdown: what you pay exactly
Total transparency. These are real numbers from production system with 50 agents. Scalable to 10-500 agents with predictable formula.
ECS Fargate: $730/month (70% of cost)
50 agents × t4g.medium (2vCPU, 4GB) × 12h/day average × $0.04/hour = $660/month. Add ~$70/month ECS control plane and data transfer. Tip: use Fargate Spot for non-critical loads → save 70% (cost drops to $225/month).
DynamoDB: $95/month
On-demand pricing. ~2M read requests/month + 500K write requests/month. Includes 25GB storage with 7-day TTL for temporal data. If predictable load → reserved capacity drops to $48/month (-50%). Point-in-time backups: +$18/month.
SQS: $15/month
~3M requests/month. First 1M free, rest $0.40/million. FIFO queues cost 2x vs Standard. If you don't need strict ordering, use Standard. DLQ included at no extra cost. Tip: batch messages to reduce requests (-40% cost possible).
S3 + CloudWatch + misc: $210/month
S3 Standard: $60/month (500GB artifacts). CloudWatch Logs: $95/month (100GB logs/month, 30-day retention). VPC NAT Gateway: $40/month. Application Load Balancer: $22/month. Secrets Manager: $6/month. Total misc: $210/month.
Why NERVICO
The only consultancy that deeply understands AWS + AI agents
Big consultancies know AWS but don't understand agents. AI agent vendors (Replit, Cursor) know agents but not AWS optimization. We master both.
We've deployed AI agents in real production
We don't sell theory. We have system with 50+ active agents running for 4 months. We know what works, what fails, where to optimize costs, how to debug rare issues. This hands-on experience literally no traditional consultancy has.
We master modern agent frameworks
LangChain, CrewAI, AutoGPT, claude-code with MCP servers. We know when to use what. Understand agent orchestration patterns (ReAct, Chain-of-Thought, Tree-of-Thoughts). We don't just deploy containers, we understand what runs inside.
Optimization obsession: we reduce your cost 40-60%
Fargate Spot instances, Savings Plans, automatic rightsizing, S3 Intelligent-Tiering, DynamoDB reserved capacity, CloudWatch Logs data compression. We know where AWS hidden costs are and how to avoid them. Typical ROI: 3-6 months.
Technical FAQs about AI agents on AWS
How much does it cost to deploy 10-50 AI agents on AWS?
Depends on usage. 10 light agents (8h/day): $320-500/month. 50 intensive agents (24/7): $2,400-4,200/month. Includes: ECS Fargate (t4g.medium), SQS, DynamoDB on-demand, S3, CloudWatch. With AWS Activate ($100K credits), effective cost $0 first 12-18 months.
What's the difference between deploying agents on AWS vs using SaaS like Replit?
Replit Agents: $25-40/agent/month, vendor lock-in, customization limits, no infra control. AWS self-hosted: $15-30/agent/month optimized, total control, unlimited customization, integration with existing systems, compliance control. For 50+ agents, AWS is 40-60% cheaper and 10x more flexible.
Can I deploy Devin AI on my own AWS infrastructure?
Devin (Cognition Labs) is closed-source and only available via SaaS ($500/month). But you can deploy equivalent architecture with: Cursor agents via API, claude-code with MCP servers, custom agents with LangChain/CrewAI. We provide functional reference architecture for multi-agent orchestration on AWS.
Does the infrastructure auto-scale if I have usage spikes?
Yes. ECS Fargate scales agents based on demand (0-500+ instances). SQS manages backlog automatically. DynamoDB on-demand grows without limits. You only pay for actual usage. Example: Black Friday with 10x traffic → infra scales automatically, cost goes 10x that day but returns to baseline after.
What level of AWS knowledge do I need to maintain this?
If you have junior/mid DevOps: we leave complete infra in CDK/Terraform + runbooks + CloudWatch dashboards. Maintenance <2h/month. If you don't have DevOps: we offer managed support (from $1,500/month) where we monitor 24/7, handle incidents, optimize costs.
How long does it take to implement the complete infrastructure?
Fast track (basic infra): 2 weeks. Includes ECS Fargate, SQS, DynamoDB, CI/CD, monitoring. Production-ready (complete hardening): 4-6 weeks. Includes: security audit, WAF, VPC isolation, backup strategy, disaster recovery, load testing. All delivered as reproducible IaC.
Ready to deploy your AI agents on AWS?
Free reference architecture (30 min). We show you complete stack, estimate AWS costs, give you technical roadmap. Zero commitment.