Infrastructure That Disappears Into the Background.
The best AWS infrastructure is the kind you never think about - because it is running, monitored, and automatically recovering before you notice anything went wrong.
Most companies in the UAE are running on infrastructure that was set up once, never reviewed, and is quietly accumulating risk: outdated Lambda runtimes, unmonitored DynamoDB tables growing without TTLs, CloudFront distributions missing security headers, no alerting on 5xx error rates.
We build AWS infrastructure that is production-grade from day one - and managed so it stays that way.
Why Infrastructure Quality Matters
Infrastructure is not a one-time setup task. AWS releases new features, deprecates runtimes, and changes pricing structures continuously. A Lambda function that was optimal 18 months ago may be running on a deprecated Node.js runtime today, costing 2× what it should, without anyone noticing.
What We Build and Manage
Serverless Applications with SST
SST v4 is our infrastructure-as-code framework of choice for Next.js and Node.js applications on AWS. It handles Lambda@Edge, CloudFront distributions, API Gateway, DynamoDB, and S3 - with type-safe resource linking so your application code and infrastructure stay in sync.
Next.js on AWS with SST
Full SST deployment configuration for Next.js App Router - Lambda functions for server-side rendering, CloudFront CDN for static assets, S3 for media, and DynamoDB for application data. Identical performance to Vercel at lower marginal cost at scale.
Serverless APIs
Lambda functions behind API Gateway v2 (HTTP API). Cold start optimisation - under 200ms on Node.js 22 with memory tuning. Lambda Powertools for structured logging, tracing, and metrics. Automatic retry with dead-letter queues for async operations.
DynamoDB Design
Single-table design with access pattern analysis before any table is created. GSI design reviewed for query efficiency. DynamoDB Streams for event-driven workflows. Point-in-time recovery enabled on all tables. No table created without TTL consideration.
CloudFront Edge Delivery
CloudFront distributions with custom domains, ACM certificates, and cache behaviour tuned per content type. Security headers (HSTS, CSP, X-Frame-Options) configured at the distribution level. Geo-restriction where required by compliance.
CI/CD and Deployment Pipelines
Deployment should be boring. A push to main should result in a production update without manual steps, without someone running commands locally, and without the possibility of deploying untested code.
GitHub Actions Pipelines
Automated pipelines for build, test, and deploy - triggered on push to main, with preview environment deployments on pull requests. Secret management via GitHub OIDC + AWS IAM roles (no long-lived credentials in CI). Build caching to keep deploy times under 3 minutes.
Zero-Downtime Deployments
Blue-green deployments via Lambda aliases. CloudFront cache invalidation after asset deployments. DynamoDB schema changes handled without service interruption. Database migrations gated behind deploy-time health checks.
Preview Environments
Pull request deployments to isolated SST stages - separate CloudFront distributions, Lambda functions, and DynamoDB tables per PR. Tear down automatically when the PR closes. Allows end-to-end testing in a production-like environment before merge.
Security in the Pipeline
Dependency vulnerability scanning on every build. AWS IAM least-privilege roles for all pipeline steps. No hardcoded secrets - all credentials managed via AWS Secrets Manager or SSM Parameter Store with automatic rotation where supported.
Monitoring and Observability
CloudWatch Infrastructure Monitoring
Dashboards covering Lambda duration, error rate, throttle rate, and concurrency. DynamoDB consumed capacity, throttled requests, and replication lag. CloudFront 5xx rates and cache hit ratios. Alarms with SNS notifications to Slack and PagerDuty.
Structured Logging
Lambda Powertools for structured JSON logging with correlation IDs. Log groups with appropriate retention periods (not indefinite). Log Insights queries for incident investigation. Anomaly detection on error rate baselines.
Cost Monitoring
AWS Cost Explorer dashboards with per-service breakdowns. Anomaly detection on daily spend. Reserved capacity recommendations reviewed quarterly. Lambda memory configuration tuned with AWS Lambda Power Tuning tool.
Incident Response
Runbooks for common failure modes - DynamoDB throttling, Lambda timeout, CloudFront origin errors. On-call rotation for critical systems. Post-incident review within 48 hours with root cause analysis and prevention actions.
Security and Compliance
IAM Least Privilege
Every Lambda function, CI pipeline, and developer role has only the permissions it needs - nothing more. IAM Access Analyzer identifies overly permissive policies. Service Control Policies at the AWS Organisation level prevent privilege escalation.
WAF and DDoS Protection
AWS WAF rules on all public-facing CloudFront distributions - rate limiting, OWASP Top 10 rules, and IP reputation lists. AWS Shield Standard included. Shield Advanced for applications with AED 50,000+ annual revenue dependency.
Audit and Compliance Logging
CloudTrail enabled on all accounts for API call auditing. S3 access logging on sensitive buckets. VPC Flow Logs for network traffic analysis. Logs retained according to UAE PDPL and financial regulator requirements.
Secrets Management
All application secrets (API keys, database passwords, OAuth credentials) stored in AWS Secrets Manager with automatic rotation enabled where the downstream service supports it. Zero secrets in environment variables, code, or CI configuration files.
Our Managed Infrastructure Service
For businesses that want infrastructure expertise without hiring a cloud engineer, we offer ongoing managed infrastructure.
Monthly Managed Service includes:
- AWS account security review and hardening
- Runtime and dependency updates (Lambda runtimes, Node.js versions)
- Monthly cost optimisation review
- CloudWatch dashboard and alarm maintenance
- Incident response during business hours (UAE timezone)
- Quarterly architecture review with recommendations
Infrastructure management is available as an add-on to development projects or as a standalone service for existing AWS environments.
How We Work
Infrastructure Audit (Week 1)
If you have existing AWS infrastructure, we audit it: IAM permissions, Lambda configurations, DynamoDB design, CloudFront settings, CI/CD pipelines, and cost breakdown. You receive a written findings report with prioritised remediation items before any work begins.
Architecture Design (Week 1–2)
New projects: we design the complete AWS architecture - services required, DynamoDB access patterns, security groups, deployment pipeline. Written architecture document reviewed and approved before implementation. No surprises.
Infrastructure Build (Weeks 2–5)
SST configuration built in your repository - version-controlled, documented, reproducible. CI/CD pipeline configured with preview environments. Monitoring and alerting live before the first production deployment.
Production Handover (Week 5–6)
Production deployment with runbook documentation. Your engineering team trained on common operational tasks - deploying, rolling back, investigating alerts, scaling resources. We don't create dependency - we create competence.
Ongoing Management (Monthly)
Monthly maintenance, cost review, and security updates. Quarterly architecture reviews as your application scales. Incident response when required. Available as a retainer or on a project basis.
Infrastructure Investment
| Engagement | Investment (AED) | Timeline |
|---|---|---|
| Infrastructure audit + report | 8,000–15,000 | 1 week |
| New SST infrastructure setup | 15,000–35,000 | 3–5 weeks |
| CI/CD pipeline implementation | 10,000–20,000 | 2–3 weeks |
| Full infrastructure + pipeline | 25,000–55,000 | 4–7 weeks |
| Managed infrastructure (ongoing) | 3,000–8,000/month | Ongoing |
All infrastructure is delivered as code in your repository - no black-box configurations, no vendor lock-in to us.
"We were running on a manually-deployed EC2 instance with no monitoring and no CI/CD. Codenovai migrated us to SST on AWS Lambda in 4 weeks. Our deployment time went from 45 minutes of manual work to a 3-minute automated pipeline. We haven't had an unplanned outage since."
- CTO, B2B SaaS Platform, Dubai Internet City
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