Frequently Asked Questions

Common questions about our consulting model, engineering expertise, and how we integrate with your teams.

We typically start with a 2-4 week Discovery phase to audit your current infrastructure, define SLOs, and architect the target state. From there, we move into the Implementation phase where our engineers build the infrastructure alongside your team. We then offer optional long-term Managed Support.

Yes. In fact, we prefer it. We operate as an embedded engineering partner, integrating directly into your Slack/Teams and GitHub/GitLab organizations to ensure seamless knowledge transfer and alignment with your product developers.

Absolutely. We have extensive experience migrating massive, complex workloads from AWS to OCI, particularly for clients seeking to reduce outbound bandwidth costs or requiring bare-metal database performance.

Yes. Cost optimization (FinOps) is baked into our engineering standards. We typically identify 20-40% savings during our initial audits by right-sizing compute, adopting Spot instances, and optimizing network routing.

Kubernetes is our core competency. We design, deploy, and manage production-grade clusters on EKS, OKE, GKE, and AKS, fully automated via Terraform and GitOps (ArgoCD/Flux).

Yes. We architect scalable infrastructure for AI workloads, including vLLM inference endpoints, GPU auto-scaling, and secure model training pipelines on AWS SageMaker and OCI.

Yes, we routinely sign NDAs and strict confidentiality agreements with enterprise clients and stealth startups before discussing any architectural details.

Yes. While our core team is based in India, we support clients globally across North America, Europe, and Asia. For managed support contracts, we offer 24/7 on-call coverage for SEV-1 incidents.

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