Cloud cost optimization
Right-sizing, autoscaling, commitment planning and cleanup of idle resources, without hurting performance.
We measureMonthly spend, cost per customer
We design, migrate and run cloud infrastructure on AWS, Google Cloud and Azure. Everything is defined as code, deployed through pipelines and monitored, so releases are routine and surprises are rare.
What we build
(01)Where it pays off
Most cloud engagements begin with one of these. Each has a baseline we measure before we touch anything.
Right-sizing, autoscaling, commitment planning and cleanup of idle resources, without hurting performance.
We measureMonthly spend, cost per customer
Move applications to managed or container-based services in planned stages, with rollback at every step.
We measureDowntime during cutover, deploy time
Access controls, encryption, audit logging and the evidence you need for SOC 2, ISO 27001, HIPAA or GDPR reviews.
We measureOpen findings, audit readiness
Caching, load balancing, database tuning and alerting that tells you about problems before customers do.
We measureLatency, error rate, recovery time
(02)Process
We review architecture, spend, security posture and deployment workflow, and write up the gaps.
A prioritized roadmap with effort, risk and expected savings for each change.
Infrastructure moved into Terraform and pipelines, reviewed like any other code.
Changes rolled out in stages, with monitoring and rollback ready at each one.
Runbooks, dashboards and on-call setup, run by us or handed to your team.
(03)Platforms and tools
We're pragmatic about tools. If your team already runs something that works, we build on it.
(04)FAQ
Yes. We start most cloud engagements with an audit of architecture, cost, security and deployment workflow, and deliver a prioritized list of fixes with estimated effort and impact.
AWS, Google Cloud and Azure, plus Cloudflare for edge and CDN. We are vendor-neutral and recommend what fits your workload, team and existing contracts.
In most cases, yes. We migrate in stages with parallel environments, data replication and tested rollback plans, and schedule any unavoidable cutover for your quietest hours.
Not always. For many teams, managed services or serverless are simpler and cheaper. We recommend Kubernetes when the number of services, scaling needs or portability requirements justify it.
Yes. We offer ongoing DevOps support on a retainer, or we hand over with documentation, runbooks and training for your team.
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