DevOps for Growing Startups: What to Build vs Buy

The DevOps Crossroads

Every startup hits a point where the ad-hoc infrastructure decisions stop working. The Heroku deployment that got you to your first 100 users can’t handle your first 10,000. The CI/CD pipeline that was “just push to main” starts breaking production. The monitoring that was “someone checks the app every few hours” misses a 3am outage.

This usually happens somewhere between 20 and 50 employees. The engineering team is big enough that coordination matters, the product is complex enough that deployments are risky, and the customers are important enough that downtime has real consequences.

This is the DevOps crossroads. And the decisions you make here determine whether your infrastructure becomes a competitive advantage or a constant source of fires.

I’ve been at both extremes. I managed 10,000+ production servers at Salesforce with mature DevOps practices. I’ve also set up infrastructure from scratch for companies that were running everything on a single EC2 instance. The principles are the same — the scale is different.

The Build vs Buy Framework

Every DevOps decision comes down to: should we build this ourselves, buy a managed service, or do something in between? Here’s how I think about it.

Build When:

The capability is core to your competitive advantage
Off-the-shelf solutions don’t fit your workflow
You have (or will have) the team to maintain it
The total cost of ownership is lower than SaaS over your planning horizon

Buy When:

The capability is commodity infrastructure (DNS, email delivery, CDN)
You don’t have the team to maintain it
The SaaS solution is genuinely better than what you’d build
Speed to deploy matters more than cost optimization

The In-Between:

Use open-source tools deployed on your infrastructure — you get customization without building from scratch
This is where I spend most of my time with clients, and it’s the approach I used at JET Hospitality to replace $50K+ in annual SaaS spend

The Startup DevOps Stack, Tier by Tier

Here’s what I recommend for companies at different stages. Don’t try to implement everything at once — build the foundation first and add layers as you grow.

Tier 1: The Foundation (Do This First)

Version Control + Branching Strategy

If your team is pushing directly to main without pull requests, fix this first. It costs nothing and prevents most production incidents.

GitHub or GitLab (buy — the collaboration features are worth it)
Branch protection rules on main
Require pull request reviews
Squash-merge to keep history clean

CI/CD Pipeline

Automated testing and deployment. Every commit should be tested automatically. Every merge to main should deploy automatically (or with a one-click approval).

Buy: GitHub Actions (included with GitHub), GitLab CI (included with GitLab)
Build: Jenkins or Woodpecker CI (self-hosted, if you want control)
Verdict for most startups: Buy. GitHub Actions is free for public repos and cheap for private. The time you’d spend maintaining Jenkins is better spent on product.

Basic Monitoring

You need to know when your application is down. Not “eventually” — immediately.

Buy: Better Stack, Datadog (expensive at scale), PagerDuty for alerting
Build/Self-host: Uptime Kuma (free, takes 10 minutes to set up)
Verdict: Start with Uptime Kuma. It’s genuinely excellent. Move to paid monitoring when your infrastructure complexity justifies it.

I run Uptime Kuma for all my clients and my own 29-service infrastructure. It handles HTTP checks, TCP port monitoring, DNS verification, and sends alerts to Slack, email, or PagerDuty.

Tier 2: Growth Mode (20-50 Employees)

Infrastructure as Code (IaC)

Stop clicking buttons in the AWS console. Your infrastructure should be defined in code, version controlled, and reproducible.

Terraform — the industry standard for multi-cloud IaC
Pulumi — if your team prefers TypeScript/Python over HCL
AWS CDK — if you’re all-in on AWS

I use Terraform for most clients. The learning curve is worth it. When you need to spin up a staging environment that mirrors production, or recover from a region outage, IaC is the difference between 30 minutes and 3 days.

Containerization

If you’re not using Docker yet, start now. Containers solve the “works on my machine” problem, make deployments reproducible, and simplify local development.

Docker Compose for local development and simple deployments
Docker images built in CI and pushed to a container registry
Deploy containers to your cloud provider’s container service (ECS, Cloud Run, etc.)

You don’t need Kubernetes yet. I’ll come back to this.

Log Aggregation

When something breaks in production, you need to see what happened across all your services in one place.

Buy: Datadog, Logz.io, Better Stack Logs
Self-host: Grafana Loki, ELK stack (Elasticsearch + Logstash + Kibana)
Verdict: Grafana Loki if you want to control costs. Datadog if you want it to just work and don’t mind the price.

Secrets Management

Hardcoded API keys in your codebase are a security incident waiting to happen.

AWS Secrets Manager or Parameter Store (if you’re on AWS)
HashiCorp Vault (self-hosted, more complex but more capable)
Doppler (SaaS, developer-friendly)

At minimum, stop committing .env files and use your CI/CD system’s built-in secrets management.

Tier 3: Scale Mode (50-200 Employees)

Kubernetes

Now we can talk about Kubernetes. Not before.

Kubernetes is the right choice when you have:

Multiple services that need independent scaling
A team that can maintain it (or a managed service like EKS/GKE)
Enough traffic that auto-scaling provides real cost savings
Deployment complexity that benefits from Kubernetes’ orchestration

Kubernetes is the wrong choice when you have:

A monolithic application
Fewer than 5 services
A team under 10 engineers
No dedicated DevOps/platform engineer

I’ve managed Kubernetes at scale. It’s powerful. It’s also complex enough that it can consume an entire engineer’s time just to keep it running. Use managed Kubernetes (EKS, GKE, AKS) if you go this route — the control plane management alone justifies the cost.

Observability Stack

Beyond basic monitoring, you need observability — the ability to understand why something is broken, not just that it’s broken.

The three pillars:

Metrics — Prometheus + Grafana (self-hosted) or Datadog
Logs — Grafana Loki or your chosen log aggregation
Traces — Jaeger or Tempo for distributed tracing

This is where the self-hosted vs buy decision gets interesting. A full Datadog deployment for a 50-person engineering team can cost $50K-100K+/year. The open-source stack (Prometheus + Grafana + Loki + Tempo) costs your infrastructure hosting plus engineering time to maintain.

For most startups in this range, I recommend the Grafana stack (self-hosted on Kubernetes) with Datadog as a fallback if you don’t have someone to maintain it.

Staging and Preview Environments

Every pull request should generate a preview environment where QA and product can test changes before they hit production. This is table stakes at this stage.

Vercel/Netlify do this automatically for frontend apps
For backend services, use your IaC to spin up ephemeral environments per PR
Tear them down automatically when the PR is merged

The DevOps Mistakes I See Most Often

Mistake 1: Kubernetes Too Early

I’ve watched startups with 3 engineers spend months setting up Kubernetes for an application that could run on a single $20/month VPS. Kubernetes is not a maturity signal — it’s a tool for specific scaling problems. If you don’t have those problems, you’re adding complexity without benefit.

Mistake 2: No IaC Until It’s Too Late

The best time to implement Infrastructure as Code is day one. The second best time is now. Every week you wait, the gap between your actual infrastructure and what’s in code gets wider. Eventually, nobody knows what’s running or why.

Mistake 3: Monitoring as an Afterthought

“We’ll add monitoring later” is the DevOps equivalent of “we’ll add tests later.” You won’t. And when production goes down on a Friday night, you’ll wish you had.

Mistake 4: Trying to Build Netflix-Scale Infrastructure

You’re not Netflix. You don’t need five nines. You don’t need multi-region active-active. You don’t need a service mesh. Build for your actual scale, with a clear path to the next level of scale. Don’t over-engineer.

Mistake 5: No Runbooks

When something breaks at 2am, your on-call engineer shouldn’t be figuring out from scratch how to fix it. Write runbooks for every common failure mode. Update them every time you learn something new. This is the boring work that saves you during incidents.

When to Bring in Help

DevOps is one of those areas where experience disproportionately matters. The difference between someone who’s set up CI/CD once and someone who’s done it 50 times is not 50x the time — it’s avoiding the mistakes that cost weeks to unwind.

Consider bringing in a fractional CTO or DevOps consultant when:

You’re setting up your infrastructure foundation for the first time
You’re migrating from a PaaS (Heroku, Railway) to cloud infrastructure
You need to implement compliance (SOC 2, HIPAA, PCI)
Your deployment pipeline is causing production incidents
You’re evaluating a major infrastructure change (containers, Kubernetes, multi-cloud)

I’ve done all of these, at companies ranging from 10 to 10,000+ people. The patterns are remarkably consistent — the scale changes, but the principles don’t.

Getting Started

If your startup is at the DevOps crossroads, here’s what I’d recommend:

Audit your current state. What’s automated? What’s manual? What breaks most often? Where does your team spend time on infrastructure instead of product?
Implement Tier 1 first. Version control hygiene, CI/CD, and basic monitoring. This takes 1-2 weeks and eliminates the most common failure modes.
Plan your Tier 2 roadmap. You don’t need everything at once. Prioritize based on what’s causing the most pain.
Get a technical assessment if you want an experienced set of eyes on your infrastructure. I’ll tell you what’s working, what’s risky, and what to tackle next.

Need help building your DevOps foundation? Book a free 30-minute assessment →

You can also read about what a fractional CTO does or see how I built infrastructure for a 10-property hospitality company.