DevOps · MLOps · Kubernetes · GitOps

Automation, DevOps & MLOps

Infrastructure as code. AI as a pipeline. Operations as a discipline.

From GitOps-driven infrastructure to ML model CI/CD pipelines — we automate the full engineering lifecycle. Your AI models ship faster, break less, and are monitored in production from the moment they deploy.

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Why Infrastructure First

Most cloud and AI engagements fail not because of bad models or wrong tools, but because the infrastructure layer wasn't designed to carry the load. Atsky designs cloud architecture the way structural engineers design buildings — with the final load in mind, not just the immediate requirement.

Every engagement begins with an architectural review. We map your current state, model the target state, and define the migration path — before a single resource is provisioned.

Our Delivery Approach

  • Architecture review and gap analysis
  • Infrastructure-as-code from day one — no manual console work
  • Security and compliance baked into the design, not retrofitted
  • Observability and alerting configured before go-live
  • Documentation and runbooks delivered with every engagement
  • Optional managed operations handoff post-launch

Certifications & Partnerships

Our team holds certifications across AWS, GCP, Azure, TOGAF, and cloud-native tooling. We are partners with AWS, Google Cloud, and Datadog, giving us access to architectural review programs, early access features, and technical escalation paths for your projects.

Pairs With AI Solutions

AI Solutions

Agentic Voice AI is the natural next step — built on this cloud foundation.

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Engagement Options

Architecture & Design Sprint

Build & Deploy Engagement

Managed Operations Retainer

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Automation, DevOps & MLOps
done right.

Infrastructure that earns its keep — designed, built, and operated by one team.

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