Cloud Workloads
Choose a conceptual architecture below to calculate the total cross-cloud cost based on your specific scale and requirements.
Serverless Web Application
A scalable, low-maintenance backend without provisioning servers. Perfect for event-driven web and mobile backends.
Classic 3-Tier Web Architecture
The foundational blueprint for monolithic or traditionally scaled web applications using VMs and relational databases.
Real-time Streaming Analytics
A highly demanded architecture for processing IoT telemetry, clickstreams, or financial data in real time.
E-Commerce Microservices Stack
A resilient, decoupled architecture designed for high availability, fast product lookups, and fault tolerance.
ML Model Training & Hosting
A heavy-compute pipeline designed for MLOps, training custom models, and serving them via APIs.
Kubernetes-Native App Platform
Cloud-native platform using managed Kubernetes for containerized microservices, persistent block storage for stateful workloads, a managed relational database, and a load balancer for traffic ingress.
HPC / Scientific Computing
High-performance computing cluster for scientific simulations, genomics, financial modeling, or any massively parallel workload requiring dedicated HPC instances and fast shared file storage.
SaaS / PaaS Application
Fully managed application platform that eliminates infrastructure overhead. Combines PaaS app hosting with a managed relational database and object storage — ideal for SaaS products and internal tools.
Data Warehouse & BI Analytics
A centralized data repository coupled with an analytics engine and BI compute nodes for large-scale reporting and insights.
Disaster Recovery (Warm Standby)
A scaled-down replica of your production environment kept running in a secondary region, ready to scale up and take over during a primary-region outage. Includes standby compute, a replicated database, cross-region backups, and failover routing.
Content & Media Platform
A platform for storing, transcoding, and delivering video and image content at scale. Combines a transcoding compute fleet, an object-storage media library, a metadata database for catalog lookups, and a delivery endpoint for distribution.