Cloud Infrastructure
& DevOps

The best platform depends on your specific needs. AWS offers the broadest service catalog, Azure excels for Microsoft-centric enterprises, and GCP leads in data analytics and machine learning. We help you evaluate based on your workloads, existing tools, team expertise, and cost requirements to make the right choice.

We use a phased approach: First, we assess and categorize your data. Then we choose the appropriate migration method - online transfer for smaller datasets, or offline transfer (like AWS Snowball) for large volumes. We ensure data integrity through checksums and validation, and we maintain rollback capabilities throughout.

We design for portability using containers, Kubernetes, and infrastructure as code. We use managed services strategically while abstracting cloud-specific APIs where possible. Multi-cloud strategies can reduce lock-in but add complexity - we help you find the right balance for your situation.

Our FinOps practice includes right-sizing recommendations, reserved instance planning, spot instance strategies, and automated shutdown of unused resources. We implement tagging strategies for cost allocation and set up dashboards for ongoing visibility. Most clients see 30-50% savings within the first year.

Yes, we have extensive experience with hybrid and multi-cloud architectures. Whether you need to keep certain workloads on-premises for compliance, or distribute across multiple clouds for resilience, we design and implement solutions that work seamlessly across environments.