Service Overview
Cloud infrastructure should be invisible when it’s working and loud when something needs attention. Our cloud engagements are built around that principle: systems designed from the start for fault tolerance, observability, and zero-surprise deployments.
We are an AWS-native practice. Every engagement produces a version-controlled, documented infrastructure codebase — not a series of manual console clicks that nobody can reproduce.
What We Build
Infrastructure as Code
All resources are defined and provisioned through Terraform or AWS CDK — never by hand in the AWS Console. This means your infrastructure is:
- Reproducible across environments (staging, production, disaster recovery)
- Auditable via git history — every change is a commit with a reason
- Testable before it reaches production
CI/CD Pipelines
We implement GitHub Actions pipelines that enforce quality gates before anything reaches production:
- Automated test suites on every pull request
- Preview/staging environment deployments on branch push
- Production deployments gated behind required approvals
- Automated rollback triggers on failed health checks
Observability Stack
Deployed systems include a full observability layer from day one:
- Metrics: CloudWatch dashboards covering CPU, memory, request latency, and error rates
- Alerting: PagerDuty or email alert policies on critical thresholds
- Uptime: Synthetic monitoring hitting application health endpoints every minute
- Error budgets: SLO tracking so you know when to slow down and when it’s safe to ship
Delivery Pipeline
Every cloud infrastructure engagement follows this sequence:
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Discovery & Audit — We review your existing setup, application requirements, expected load profiles, and compliance constraints (HIPAA, SOC 2, etc.). Existing infrastructure is audited for security gaps and cost waste.
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Architecture Design — We produce a reference architecture diagram and written design document covering networking (VPC, subnets, security groups), compute strategy, database topology, storage, CDN configuration, and disaster recovery posture. This document is reviewed and approved before any code is written.
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IaC Build — Infrastructure is built as code in a separate
infrastructure/repository (or module within your monorepo). We provision and validate in a staging environment first. -
Pipeline Setup — CI/CD workflows are configured for your application repositories. Branch protection rules, deployment approvals, and environment secrets are configured.
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Monitoring Configuration — CloudWatch alarms, dashboards, and synthetic canary tests are deployed alongside the application infrastructure.
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Load Testing & Hardening — Before production cutover, we run load tests against staging to verify auto-scaling thresholds and identify bottlenecks.
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Production Cutover — DNS migration, TLS certificate provisioning, and production deployment with real-time monitoring during the initial traffic window.
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Runbook Handoff — Your team receives complete operational documentation covering every routine task and every incident scenario we can anticipate.
Common Architecture Patterns
| Pattern | When We Use It |
|---|---|
| ALB + ECS Fargate | Containerized APIs requiring horizontal scaling without managing EC2 |
| Lambda + API Gateway | Event-driven or low-traffic endpoints where cold start latency is acceptable |
| EC2 + Auto Scaling Group | Long-lived processes, WebSocket servers, or compute-intensive workloads |
| RDS Multi-AZ | Primary relational data stores requiring automatic failover |
| Aurora Serverless v2 | Variable-traffic applications needing zero-downtime auto-scale on the database tier |
| CloudFront + S3 | Static site hosting and asset CDN with global edge caching |
Engagement Model
Cloud infrastructure engagements are scoped as fixed-price projects based on the architecture design document. A baseline single-region web application setup typically takes 2–3 weeks from discovery to production cutover.
Ongoing retainers are available for teams that want a dedicated infrastructure engineer on call for changes, incident response, and continuous optimization. Monthly retainer rates are scoped per engagement.