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Automate cloud cost governance and FinOps workflows with a no-code platform.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "openops" yet — see the docs or source repo.
Design a no-code FinOps automation for our multi-cloud environment: check AWS and GCP cost data daily; if any project's daily cost exceeds its 7-day average by more than 25%, send a Slack alert with the project name, anomaly amount, top resource types, and recommended investigation steps.
A cost anomaly detection and notification workflow with triggers, data fields, and alert content.
Create a FinOps automation: identify cloud instances with CPU utilization below 5% for 14 consecutive days, generate a cleanup candidate list, send it to owners for approval, and after approval automatically shut them down and record estimated monthly savings.
A resource optimization workflow with approval steps, candidate assets, and savings reporting.
Build a monthly FinOps workflow that aggregates cloud spend by team, budget attainment, and month-over-month changes, generates an executive-friendly summary, and automatically emails it to finance and engineering leads.
An automated monthly cost reporting plan with report structure, summary content, and recipients.
Query Cloud FinOps references and waste-reduction playbooks for cost optimization.
Analyze and optimize Azure infrastructure costs to improve cloud resource efficiency.
Ask plain-English questions about cloud and SaaS costs across platforms.
Analyze AWS cloud costs with natural language and get optimization insights.
Provides real-time multi-cloud deployment cost forecasts for AI coding agents.
Operate and troubleshoot governed GPU inference with vLLM and Ray Serve.