How Cloud Ripples Delivers CloudCloud Infrastructure, Architected By Engineers Who Run It
We plan, architect, deploy, and manage cloud infrastructure end to end. That means sizing the environment against your actual workload, designing the network and identity model, building it as code, and then staying on to run it — patching, scaling, monitoring, and tuning the bill month after month.
We work across all three major platforms and pick based on where your workload belongs, not on which vendor we resell. On AWS we build with EKS, ECS, Lambda, RDS and S3, wired together with Terraform or CloudFormation. On Microsoft Azure we design around AKS, App Service, Azure SQL and Entra ID, which is usually the shortest path for teams already invested in Microsoft 365 and Active Directory. On Google Cloud we lean on GKE, BigQuery, Cloud Run and Pub/Sub where container-native and data-heavy workloads make it the stronger fit.
Multi-cloud and hybrid are treated as deliberate architecture, not accidents — a landing zone per platform, consistent guardrails for identity, network segmentation and encryption, and infrastructure defined as code so an environment can be rebuilt rather than remembered. Cost governance is part of the build: right-sized instances, committed-use and reserved capacity where the usage pattern justifies it, and tagging that shows which team spent what.
That's what sets Cloud Ripples apart from a reseller: the team that architects your cloud environment is the same team that operates it, so every design decision accounts for what it takes to run in production.
