Infrastructure that is boring in the good way
Predictable deploys, secrets that never land in chat, and logs readable at 2 a.m. Boltout runs its own products on these foundations and holds venture and partner infrastructure to the same standard.
Platforms
AWS, Google Cloud, Vercel
Method
Infrastructure as code, CI/CD
Kubernetes
Only when scale warrants it
How Boltout applies it
In Boltout products
Every Boltout product runs on the same infrastructure-as-code and pipeline patterns offered outward, including backups with actual restore drills, because recovery documentation matters more than slide decks.
Inside ventures
Venture infrastructure is sized for what runs today with a path to scale, never locked into patterns that only make sense at ten times the traffic, and never sold complexity a managed service would solve with less pain.
With partners
Boltout operates within roles the partner grants, with documented access boundaries and infrastructure as code so every change is reviewable. Nobody wants shared root passwords, including us.
What this covers
- Cloud foundations: identity, networks, databases, object storage
- Infrastructure as code where it prevents repeat mistakes
- CI/CD: preview environments and protected production deploys
- Monitoring and alerting tuned to revenue and trust, not noise
- Backups, restore drills, and recovery documentation
- Incident response, rollbacks, and blameless postmortems
- Cost review: right-sizing, zombie resources, budget alerts
- Security-audit remediation and access hygiene
How it works
Foundations first
Networks, identity, databases, and storage get named and sized for today's workload with a path to scale. Backup and restore procedures are documented and drilled before the bad day arrives.
One delivery path
Build, test, and deploy become a single path everyone understands: feature branches, preview environments, protected production deploys. Weak tests get called out and the highest-value coverage fixed first.
Observability with signal
Logs and metrics are tuned for failures that hit revenue or trust, payments, auth, data-loss risk, and noise is cut so on-call humans do not tune out alerts.
Ongoing hygiene
Cost reviews rank waste by dollars and risk: oversized instances, forgotten environments, storage growth. Incidents end in short postmortems with action items, the point is learning, not blame.
Stack we reach for
- AWS
- Google Cloud
- Vercel
- Terraform
- Docker
- Kubernetes
- GitHub Actions
- Grafana
- Datadog
- Cloudflare
Common questions
Yes, within roles the partner grants, with documented access boundaries and infrastructure as code so changes are reviewable. Access runs through accounts the partner controls, never shared credentials.
No. Kubernetes comes in when scale and team maturity warrant it. If a managed service solves the job with less pain, that is the recommendation, selling complexity is not the business.
Reserved-instance coverage gets audited, overprovisioned compute right-sized, and zombie resources from old experiments removed, with budget alerts so surprises surface before month-end. For small teams on modest AWS bills, savings often offset the engagement cost within a quarter.
Common infrastructure findings, open security groups, missing encryption at rest and in transit, IAM over-permissions, unpatched OS, get addressed and documented. SOC 2 or HIPAA controls are scoped specifically, and a compliance specialist may be recommended alongside the infrastructure work.
Staging, environment variables, monitoring hooks, and runbooks still get set up for when builds fail or edge cases hit. Serverless is not the same as no operations.
Related specializations
Need this on your product?
Engage the team that applies cloud & devops to Boltout's own products, or bring the opportunity to the studio.