CloudAvocado offers a SaaS platform that continuously aggregates AWS usage and billing data across multiple accounts, applies rule‑based and machine‑learning analytics, and surfaces underutilized resources with cost‑impact estimates. The solution provides a real‑time dashboard, policy‑driven start/stop scheduling, and one‑click or script‑based automation for rightsizing, secured with encryption and role‑based access controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises running workloads on AWS often lack granular visibility into resource utilization across multiple accounts and regions, leading to overprovisioned instances, idle services, and unpredictable monthly spend. Manual cost analysis and ad‑hoc rightsizing efforts consume engineering time and still miss optimization opportunities. The result is inflated cloud bills and limited ability to demonstrate financial accountability for cloud investments.
Solution
CloudAvocado delivers a data‑driven SaaS platform that continuously pulls usage and billing data from AWS APIs, normalizes it, and applies rule‑based and machine‑learning analytics to identify underutilized resources and recommend rightsizing actions. The platform provides a centralized dashboard with real‑time cost metrics, multi‑account aggregation, and customizable filters that let FinOps teams monitor spend at the service, instance, or tag level. Automated scheduling capabilities enable start/stop of non‑critical workloads based on predefined policies, reducing idle compute costs without manual intervention. Optimization recommendations are presented with cost‑impact estimates and can be executed via one‑click automation or exported as Terraform/CLI scripts for integration into existing CI/CD pipelines. CloudAvocado also offers a health‑check module that assesses AWS environment configuration against best‑practice cost controls and surfaces actionable alerts. All data transfers are encrypted, and role‑based access controls ensure that only authorized personnel can view or modify cost‑optimization settings.
Target Audience
The primary users are FinOps teams, cloud architects, and DevOps engineers in mid‑size to large enterprises that manage multi‑account AWS environments and need systematic cost visibility and automation.
Features
- Continuous ingestion of AWS Cost Explorer, CloudWatch, and Config data with automatic cross‑account consolidation
- Real‑time analytics engine that flags overprovisioned EC2, RDS, and Lambda resources and quantifies potential savings
- Policy‑driven resource scheduling (start/stop, scaling) with support for AWS Instance Scheduler and custom cron expressions
- Optimization Lab that drills into utilization patterns, suggests Reserved Instance purchases, Savings Plans, or spot instance migration
- Interactive dashboard offering drill‑down visualizations, cost forecasts, and ROI tracking per business unit or tag
- Built‑in Cloud Health Check that audits IAM policies, unused EBS volumes, and orphaned snapshots, delivering remediation scripts
- Secure multi‑tenant architecture with TLS encryption, at‑rest encryption, and granular RBAC for finance, DevOps, and engineering roles