Infrastructure That Scales With Your Business

Cloud architecture, deployment automation, and DevOps practices that let your team ship confidently and frequently. AWS, Azure, GCP — the right infrastructure for your stage and budget.

What We Build

Modern software demands modern infrastructure. Manual deployments, inconsistent environments, and lack of monitoring create risks that grow with your user base. Creatos DaaS builds the DevOps foundation that transforms deployment from a stressful event into a routine, automated process.

CI/CD Pipelines

Automated build, test, and deployment pipelines that catch issues before they reach production. Push code, run tests automatically, deploy to staging, and promote to production with confidence.

Infrastructure as Code (IaC)

Version-controlled infrastructure using Terraform, CloudFormation, or Pulumi. Reproducible environments that eliminate "it works on my machine" issues and enable disaster recovery.

Container Orchestration

Docker containerization and Kubernetes orchestration for applications that need to scale horizontally. Right-sized for your current needs with a clear path to grow.

Cloud Architecture

Initial cloud setup or migration planning for AWS, Azure, or GCP. Architecture decisions based on your specific requirements, budget, and growth trajectory — not one-size-fits-all patterns.

Monitoring and Alerting

Observability stacks that catch issues before your customers do. Application performance monitoring, log aggregation, error tracking, and intelligent alerting.

Cloud Cost Optimization

Auditing existing cloud spend and identifying savings opportunities. Right-sizing instances, optimizing storage, implementing reserved capacity, and eliminating waste. Typical savings: 20-40% reduction in monthly cloud bills.

Technologies We Use

AWSAzureGCPDockerKubernetesTerraformGitHub ActionsPrometheus/Grafana

Working with a technology not listed here? Our expertise spans a wide range of frameworks, languages, and platforms. Discuss your stack →

How We Approach DevOps Projects

Current State Assessment

Understand your existing infrastructure, deployment process, pain points, and team capabilities. There is no value in recommending Kubernetes for a team of three running a single service.

Right-Sized Architecture

Design infrastructure that matches your current needs and budget. A well-configured VPS with Docker Compose can take a startup far. Over-engineering is as costly as under-engineering.

Incremental Implementation

Build and deploy infrastructure improvements iteratively. Each improvement delivers immediate value while building toward the target architecture.

Documentation and Knowledge Transfer

Every infrastructure component is documented with runbooks, architecture diagrams, and operational procedures. Your team can maintain and extend the infrastructure independently.

Ongoing Optimization

Infrastructure is not "set and forget." Regular reviews of performance, costs, and security posture ensure the infrastructure continues serving your needs as the business evolves.

What You Get

CI/CD pipeline configurations (GitHub Actions, Jenkins, GitLab CI)
Terraform modules and Infrastructure as Code repositories
Docker configurations and Kubernetes manifests
Monitoring dashboards and alerting rules
Architecture diagrams and documentation
Runbooks for common operational procedures
Cloud cost optimization reports with actionable recommendations
Knowledge transfer sessions for your team

Timeline Expectations

CI/CD pipeline setup

1-2 weeks

Cloud migration planning

2-4 weeks

Kubernetes cluster setup

2-4 weeks

Full DevOps overhaul

6-12 weeks

Cloud cost optimization audit

1-2 weeks

Ideal For

Startups deploying their first production infrastructure who need it done right from the start
Teams still deploying manually who want to automate and reduce human error
Organizations with cloud bills that have grown faster than expected
Companies preparing for scale who need infrastructure that handles traffic growth
Mid-market teams upgrading DevOps practices to reduce deployment risk and frequency

Frequently Asked Questions

There is no universal answer. AWS has the broadest ecosystem, Azure integrates best with Microsoft tools, and GCP leads in AI/ML services. The recommendation depends on your existing stack, team expertise, budget, and specific service requirements. Most startups do well with AWS or GCP.

Many teams adopt Kubernetes prematurely. If you are running fewer than 5-10 services and your team is small, Docker Compose or a managed container service (ECS, Cloud Run) is often the right choice. Kubernetes becomes valuable when you need auto-scaling or are managing a larger microservices architecture.

Typical cloud cost optimization engagements find 20-40% savings. Common sources include over-provisioned instances, unused resources, missing reserved instance commitments, and inefficient storage configurations. A 1-2 week audit identifies the specific opportunities.

Yes. Most engagements involve improving existing infrastructure rather than building from scratch. Creatos integrates with your current cloud provider, CI/CD tools, and monitoring setup.

Incident response is available for retainer clients with appropriate SLAs. For production-critical infrastructure, Creatos can be included in escalation procedures with agreed response times and procedures.

Ready to Build Infrastructure That Scales?

Whether you need your first CI/CD pipeline, a cloud migration plan, or a cost optimization audit, the discovery call is where we scope the right approach for your situation.

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