CostOps

CostOps continuously analyzes your connected cloud accounts to surface savings opportunities, generate prioritized recommendations, and track the optimizations you implement. Cloud waste — idle instances, unattached volumes, drifting reserved-capacity coverage — accumulates quietly between invoices, so CostOps watches for it continuously instead of waiting for the bill.

How it works

Discover — CloudThinker scans your connected AWS, GCP, and Azure accounts to inventory resources, configurations, and spending patterns.
Analyze — Agents evaluate resource utilization, spending trends, and configuration patterns against cloud-native best practices.
Recommend — Alex generates prioritized recommendations, each with a dollar savings estimate, an effort level (Low/Medium/High), a risk assessment (Low/Medium/High), and implementation steps.
Implement — With your approval, CloudThinker executes a recommendation or provides a detailed guide for manual execution.
Track — Savings tracking measures actual savings against projections after implementation.

Alex leads cost work across clouds; Kai covers Kubernetes efficiency and Tony tunes database spend.

What you can do

Capability	Description	Learn more
Recommendations	Review AI-generated cost-saving recommendations with savings, effort, and risk for each	Recommendations
Cost analytics	Explore spending trends, forecasts, and attribution across accounts and services	Analytics
Resource optimization	Right-size instances, detect idle resources, and analyze utilization	Resources
Savings tracking	Track implemented recommendations and measure realized savings against projections	Savings
Continuous guardrails	Run scheduled CloudKeepers cost checks so waste surfaces as findings, not surprises	CloudKeepers

Supported resource types

CostOps analyzes 58+ AWS resource types plus core GCP and Azure services.

Provider	Area	Coverage
AWS	Compute	EC2 (right-sizing, reserved instances, spot), ECS, EKS, Lambda memory tuning, Batch, EMR, App Runner
AWS	Storage	S3 lifecycle and storage classes, EBS (unattached, oversized), EFS throughput, Glacier archiving
AWS	Database	RDS sizing and reserved instances, DynamoDB capacity modes, DocumentDB, Neptune, Redshift, ElastiCache
AWS	Networking	CloudFront caching, ELB/ALB/NLB idle detection, NAT Gateway efficiency, Route 53, API Gateway
AWS	Analytics & AI	SageMaker endpoints, notebooks, and training jobs, OpenSearch, Kinesis, Firehose, Glue
GCP	All	Compute Engine (right-sizing, committed use discounts), Cloud Run, Cloud Functions, Cloud SQL, GKE, Cloud Storage classes
Azure	All	Virtual Machines, Azure Kubernetes Service, Azure SQL Database, Blob Storage, App Services

Quick start

Ask Alex for your first cost analysis from any workspace chat:

@alex #recommend cost-saving opportunities for production workloads
@alex #dashboard current month spending by service
@alex #report unattached EBS volumes and unused Elastic IPs across all regions

Each result includes the underlying data, so you can verify a recommendation before acting on it.

Get started

Recommendations

Generate, review, implement, and track cost-saving recommendations

Analytics

Understand spending patterns, anomalies, and forecasts

Keepers

Schedule continuous cost guardrails that surface waste as findings

Savings tracking

Measure realized savings and optimization results over time

Code Review

Deep Response Engine

Infrastructure

ChatOps

Skills

Artifacts & Dashboards

CostOps

How it works

What you can do

Supported resource types

Quick start

Get started

Recommendations

Analytics

Keepers

Savings tracking

​How it works

​What you can do

​Supported resource types

​Quick start

​Get started

Recommendations

Analytics

Keepers

Savings tracking

How it works

What you can do

Supported resource types

Quick start

Get started