Cloud that bends to your business — not the other way around.
We architect and operate hybrid environments on AWS, Azure, and Google Cloud — connecting them to your private data centers with the precision regulated industries demand. From migration through DevOps, DevSecOps, and MLOps to day-2 FinOps, our engineers stay with you long after go-live.
Capabilities included.
Migration & modernization
AI-assisted assessment, refactoring, and lift-and-shift across multi-cloud estates.
Hybrid landing zones
Identity, network, and policy fabrics that span your data center and every cloud.
DevOps
CI/CD pipelines, infrastructure-as-code, and release automation that ship change safely and often across every environment.
DevSecOps
Security shifted left — policy-as-code, automated scanning, secrets management, and compliance gates built into the pipeline.
MLOps
Model pipelines from experiment to production — training, deployment, lineage, evaluation, and rollback for AI workloads.
FinOps & governance
Right-size, forecast, and chargeback with guardrails baked into infrastructure-as-code.
Resilience & DR
Active-active patterns with measurable RPO/RTO across regions and providers.
Measurable impact, every quarter.
Frequently asked questions
Which cloud platforms does SAN Data Systems work with?
We design and operate on AWS, Microsoft Azure, and Google Cloud, and connect them to your private data centers for true hybrid and multi-cloud operations.
Do you help with cloud migration, or only ongoing management?
Both. We handle assessment, migration, and modernization, then stay on for FinOps, Kubernetes operations, and day-2 reliability long after go-live.
How do you control cloud costs?
Our FinOps practice brings rightsizing, commitment planning, and continuous cost observability, so you scale on cloud without runaway spend.
Do you provide DevOps, DevSecOps, and MLOps services?
Yes. We build CI/CD pipelines and infrastructure-as-code (DevOps), shift security left with policy-as-code, scanning, and compliance gates (DevSecOps), and operationalize machine-learning pipelines from experiment to production (MLOps) — all on your hybrid and multi-cloud environments.
Can you support regulated or compliance-heavy workloads?
Yes — we architect hybrid environments with the security, data residency, and audit controls that regulated industries require.