Cloud Architecture

How We Think About Infrastructure

Most startups don't need Kubernetes. Most startups don't need a service mesh. What they need is infrastructure that works today, costs a reasonable amount, and won't fall over when they 5x their user base next quarter.

That's the lens we bring to every architecture engagement. We've seen too many teams over-invest in complexity early and under-invest in the fundamentals: monitoring, backups, deployment pipelines, and cost visibility.

What This Looks Like in Practice

Assessment

Before we write any Terraform or draw any diagrams, we sit down with your team and understand what you're actually building. What's your traffic pattern? Where are your users? What's your data model? What's your monthly cloud bill, and is that number going up or down?

We've audited companies spending $15K/month on infrastructure that should cost $3K. We've also seen teams on a $200/month plan that's about to buckle under real traffic. The right answer depends entirely on where you are and where you're going.

Design

Once we understand the problem, we design for the next 12-18 months — not the next 5 years. Premature scaling is expensive. Under-scaling breaks trust with your users. The sweet spot is infrastructure that handles your projected growth with clear upgrade paths when you need more.

Common patterns we reach for:

• Serverless-first for bursty workloads and early-stage products. Pay for what you use, scale to zero when idle, and avoid managing servers until you actually need to.
• Managed databases over self-hosted. Your team's time is better spent on product features than PostgreSQL tuning — until it isn't. We'll tell you when you've outgrown managed services.
• Multi-region when your users demand it. Not before. Going multi-region adds operational complexity that isn't worth it until latency or compliance requires it.
• Infrastructure as code from day one. Every resource in version control, every deployment reproducible. This isn't optional — it's how you avoid "it works on my machine" at the infrastructure level.

Implementation

We don't hand you a PDF and wish you luck. We implement the architecture alongside your team — writing the Terraform, configuring the pipelines, setting up monitoring, and making sure your on-call engineers can actually debug issues at 3 AM without calling us.

Cost Optimization

Cloud bills are one of the fastest-growing line items for growing companies. We build cost visibility into every architecture from the start:

• Right-sized compute (most instances are over-provisioned)
• Reserved capacity where usage patterns are predictable
• Spot/preemptible instances for batch workloads
• Storage tiering for data that doesn't need to be hot
• Alerting on cost anomalies before they become budget problems

Our Stack

We're primarily an Azure shop, but we work across clouds. Our team has deep experience with:

• Azure: App Service, Functions, AKS, Cosmos DB, SQL Server, Key Vault, DevOps
• AWS: Lambda, ECS, RDS, S3, CloudFront, CDK
• Terraform, Pulumi, and Bicep for infrastructure as code
• GitHub Actions and Azure DevOps for CI/CD

Who This Is For

If you're burning through cloud credits and not sure whether your architecture will hold up to real scale, or if you're planning a big push and want to make sure your infrastructure is ready, we should talk.

We've done this for logistics companies processing millions of orders, healthcare platforms handling sensitive data, and SaaS products going from pilot to production.