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All Infra in GitTerraform · Pulumi · AnsibleZero Manual Deploys

Infrastructure that runs itself.

Infrastructure as code, container orchestration, and configuration management — so your infrastructure is reproducible, scalable, and not dependent on any one person's muscle memory.

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Trusted by engineering teams globally
5★ client satisfaction
TerraformPulumiAnsibleKubernetesHelmArgoCDAWS EKSDockerPrometheusGrafanaHashiCorp VaultGitOpsIaCAuto-ScalingConfig DriftTerraformPulumiAnsibleKubernetesHelmArgoCDAWS EKSDockerPrometheusGrafanaHashiCorp VaultGitOpsIaCAuto-ScalingConfig Drift

IaC

All infra in git

Reviewed like code

0

Manual deployments

Every change is automated

Drift

Detection built-in

Auto-reconciled always

6+

Tools we deploy

Terraform, K8s, Vault…

Every layer of your infrastructure stack

From cloud resource provisioning to secrets rotation — all defined as code.

IaC modules

Git-managed infra

Infrastructure as Code

Terraform or Pulumi for every cloud resource — VPCs, databases, compute, DNS, certificates. Infrastructure defined in git, reviewed like code, deployed reproducibly.

Ansible playbooks

Idempotent state

Configuration Management

Ansible playbooks for server configuration, package installation, and system state management. Run it 10 times — same result every time.

K8s manifests

EKS / GKE / AKS

Container Orchestration

Kubernetes or AWS ECS for containerized workloads. Deployments, services, ingress, HPA, and resource limits defined as manifests — not clicked through a console.

Scaling policies

Load-reactive infra

Auto-Scaling

HPA, cluster autoscaler, and scheduled scaling rules. Infrastructure expands under load and shrinks during quiet periods — no manual intervention required.

Vault config

Zero plaintext secrets

Secrets Management

AWS Secrets Manager, HashiCorp Vault, or Kubernetes Secrets with external-secrets-operator. No credentials in environment variables or source code ever.

Alert runbooks

Code-deployed dashboards

Observability Automation

Prometheus, Grafana, and alerting rules deployed as code. Dashboards provisioned automatically. On-call runbooks linked to alert annotations.

Best-in-class tools, not personal favorites

Tool chosen per workload. We're opinionated about outcomes, not tool loyalty.

IaC

  • Terraform
  • Pulumi
  • AWS CDK
  • Helm

Containers

  • Docker
  • Kubernetes
  • EKS / GKE / AKS
  • AWS ECS

Config Mgmt

  • Ansible
  • Chef Infra
  • Puppet
  • SaltStack

Observability

  • Prometheus
  • Grafana
  • Datadog
  • PagerDuty
Infrastructure Risks

Manual infra problems that don't scale

The most common infrastructure failures are predictable — and preventable. Here's how we handle each one.

infra_risk.log
RISK #01

Manual Infra Is One Resignation Away

When infrastructure is click-ops or lives in one engineer's head, a single team departure turns a routine deploy into a crisis. Nobody can reproduce the environment, nobody knows why things are configured the way they are, and disaster recovery becomes a multi-week archaeology project.

Our approach

Every resource defined in Terraform/Pulumi, committed to git, peer-reviewed like code. Any engineer on the team can provision an identical environment from scratch in under an hour.

All four solved before we hand off.Start automation

Audit → IaC → Pipelines → Autonomy

Each phase has a defined output. We don't move on until the previous phase is stable and documented.

01

Current State Audit

Week 1

Map what's manually configured, what's already automated, and where the biggest reliability risks are. Output: risk-ranked infrastructure inventory.

02

IaC Foundation

Week 2–4

Convert existing infrastructure to Terraform/Pulumi. Remote state, state locking, and module structure established. Existing resources imported — no destroy/recreate.

03

Pipeline & Automation

Week 4–6

CI/CD for infrastructure changes — plan on PR, apply on merge. No manual terraform apply on production. Auto-scaling and secrets management configured.

04

Observability & Handoff

Week 6–8

Monitoring, alerting, and on-call runbooks deployed as code. Team trained on IaC workflow and emergency procedures. Documentation in the same repo as the code.

Questions we get all the time

If yours is not here, reach out. We respond within 24 hours with a real answer from an engineer — not a sales pitch.

Frequently asked questions

IaC means your infrastructure is defined in code files (Terraform HCL, Pulumi TypeScript) rather than configured manually through a console. Benefits: every change is reviewed in git, environments are reproducible, disaster recovery takes minutes not days, and drift between environments is eliminated.

No. We import existing resources into Terraform state — your running infrastructure becomes code-managed without destroying and recreating it. We prioritize the highest-risk resources first (databases, networking) and work through the rest systematically.

ECS if you're on AWS and want less operational complexity — it's well-managed and sufficient for most workloads. Kubernetes if you need multi-cloud portability, advanced scheduling, or a large ecosystem of operators (service mesh, secret management). We'll recommend based on your team size and operational capacity.

We implement AWS Secrets Manager or HashiCorp Vault with the external-secrets-operator for Kubernetes, or environment-specific secret injection via CI/CD. Credentials are never in code, never in environment variables of long-lived processes, and rotated automatically on schedule.

Both, depending on your team. Terraform (HCL) is our default — the largest ecosystem, the most provider modules, and the easiest for ops teams to read. Pulumi is the better fit when your engineers prefer defining infrastructure in TypeScript, Python, or Go and want real loops and abstractions. We set up remote state, state locking, and a modular structure either way.

A typical engagement runs 6-8 weeks: a current-state audit in week 1, IaC foundation and resource import in weeks 2-4, CI/CD pipelines and secrets management in weeks 4-6, then observability and team handoff in weeks 6-8. Larger or multi-account environments take longer, but each phase ships a working deliverable so you see value before the next phase starts.

We quote a fixed fee after scoping, based on the number of cloud accounts, services, and the current level of manual configuration. A focused IaC and CI/CD engagement for a single-account setup typically lands in the mid five figures over 6-8 weeks. The payback is concrete: deploys go from a one-person bottleneck to any-engineer-can-ship, and config drift incidents stop happening.

“They built our SaaS from scratch — auth, billing, dashboards, the works. Running 14 months with 99.97% uptime. When we needed features, the code was so clean changes were fast.”
JM

James Morton

CEO · Docket Analytics · Vancouver, Canada

99.97% uptime
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