CloudCEA traces every infrastructure change — PRs, autoscaler events, new deployments — to its cost impact. AI agents investigate anomalies, surface recommendations, and give your team deep visibility across AWS, GCP, and GPU clouds.
Infrastructure changes happen constantly — PRs ship, autoscalers fire, teams spin up new services. But the cost impact of each change is invisible until the bill arrives weeks later.
Backward-looking tools tell you what you spent last month. They can't connect a cost spike to the PR or autoscaler event that caused it.
Most enterprises run on AWS and GCP, yet cost tools only see one provider at a time. Cross-cloud cost differences and configuration drift go unnoticed.
When costs shift, there's no audit trail connecting the change to who made it, why, and what it costs. Attribution is manual and after-the-fact.
GPU availability is unpredictable across CoreWeave, Nebius, and major clouds. Pricing varies 10x across regions and providers. Demand forecasting for AI workloads requires purpose-built signals.
Three steps from raw cloud data to actionable cost intelligence. CloudCEA connects the dots between what changed, what it costs, and what to do about it.
Billing data from AWS CUR and GCP BigQuery exports. Usage metrics from CloudWatch and Cloud Monitoring. Change data from audit logs and GitHub IaC changes via bot. All correlated automatically.
Every cost movement traced to the infrastructure change that caused it — who made it, when, how. Drill from a spend spike down to a specific PR, autoscaler event, or manual console action.
Continuous usage analysis spots what's coming — storage at 95%, cross-region egress burning money, compute headroom shrinking. CloudCEA recommends fixes with full provenance and surfaces them via Slack, email, and GitHub before problems hit.
Concrete outputs delivered to your team — not dashboards you have to check, but intelligence that finds you.
Every infrastructure change with its cost impact, in real time.
Anomalies surfaced to Slack with root-cause context.
Reports of the biggest changes and spend trends, delivered to your inbox.
Cost impact analysis posted on PRs before code ships.
Utilization-based right-sizing with provenance back to who created the resource.
Usage trend analysis that predicts when resources hit limits — storage at 95%, compute headroom shrinking — with recommendations before it’s a problem.
Cross-region egress patterns, data transfer costs, and recommendations to consolidate workloads into regions that cut network spend.
From any cost line, trace back to the change, the person, and the timestamp.
CloudCEA's agents deliver value through the tools your team already uses — Slack, GitHub, email, and webhooks. The dashboard is for leadership. The integrations are for everyone else.
Connect CloudCEA to the tools your team already uses.
Example: GitHub PR Comment
Connect your cloud account in 5 minutes. CloudCEA's AI agents start tracing changes to cost impact immediately. Talk to our team to see it in action.