Cloud Computing - 80% of enterprise workloads run in the cloud

With 93% of enterprises adopting multi-cloud strategies, we help you leverage best-in-class services across AWS, Azure, and Google Cloud while avoiding vendor lock-in. Our approach maximizes flexibility and resilience.

We design architectures that work across cloud providers, enabling you to use AWS for compute, Azure for analytics, or any combination that serves your business needs. Cross-cloud orchestration ensures seamless operations.

Our multi-cloud strategies enhance disaster recovery by spreading data and applications across providers, minimizing downtime and mitigating data loss risks.

Over 60% of organizations run Kubernetes, making it the fastest-growing open-source project after Linux. Containerized workloads now represent 55% of deployed applications, with edge and cloud treated as a single distributed system.

Lightweight distributions like K3s enable Kubernetes at the edge - deployed in retail stores, factories, and vehicles for real-time local processing. "Run anywhere" management layers make Kubernetes essential for multi-cloud and hybrid architectures.

From initial containerization to production operations, we provide comprehensive support including service mesh implementation with Cilium, observability, security hardening, and seamless edge-to-cloud orchestration.

Serverless adoption is mainstream - 70% of AWS customers, 60% of GCP customers, and 49% of Azure customers use serverless services. The cold start problem has been largely solved, enabling complex stateful and long-running applications.

For applications requiring real-time responsiveness - connected vehicles, industrial automation, augmented retail - edge computing brings compute power closer to where data is generated. Paired with serverless, this enables highly responsive, event-driven systems.

Technologies like Cloudflare Workers, AWS Lambda@Edge, Azure Functions, and Deno Deploy power this shift. We architect solutions combining serverless and edge for maximum efficiency and cost optimization.