nOps is an AWS-focused cloud cost management and optimization platform designed to help organizations reduce cloud infrastructure spending without requiring manual engineering effort. The platform automates cost-saving actions across several domains: it manages EC2 and RDS scheduling to eliminate waste during off-hours, handles Reserved Instance and Savings Plans commitment purchasing and management, and provides Kubernetes cost optimization through its Karpenter-based node provisioning solution called nKS. nOps uses machine learning to analyze workload patterns and automatically right-size or reschedule resources. It offers a ShareSave marketplace where users can access discounted compute commitments. The platform provides visibility into cloud spend through dashboards and reports, and surfaces actionable recommendations tied to AWS Well-Architected Framework best practices. nOps integrates directly with AWS accounts via CloudFormation and operates on a savings-share pricing model for some of its modules, meaning customers pay a percentage of verified savings rather than a flat fee. It targets DevOps, platform engineering, and FinOps teams at companies running significant AWS workloads.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- API
Key features
Use cases
- Automate EC2 and RDS resource scheduling
- Manage Reserved Instance and Savings Plans commitments
- Optimize Kubernetes node provisioning costs
- Monitor and report on cloud spend
- Identify and act on cost optimization recommendations
- Access discounted compute through commitment marketplace
Best for
- FinOps teams who need to reduce AWS cloud spend at scale without heavy manual effort
- DevOps engineers who need to automate resource scheduling and right-sizing across AWS environments
- Platform engineers who need to optimize Kubernetes cluster costs using intelligent node provisioning
- Cloud architects who need visibility and governance over multi-account AWS cost management
Integrations
Communication
Slack
Other
AWS, Kubernetes, Terraform, Datadog