Cost Observability
Usage & Cost monitoring, analysis, predictions, budgets and quota.
Cloud Services
AWS / Azure / Google Cloud resource, cost management, & optimization.
nOps
Provides visibility into cloud costs and usage with budgets, alerts, and actions.
Datadog Cloud Cost Management
An extension of the Datadog Observability platform, it correlates cost data with operational metrics. It's multi-cloud and can also be used for Kubernetes.
CloudCheckr
Has been on the market for a long time and remains a strong choice for complex enterprises with multiple clouds. It offers automation capabilities and resource utilization calculations.
AWS cloud intelligence dashboards
This FinOps-approved AWS initiative, formerly known as CUDOS and now part of the Cloud Intelligence Dashboard, provides powerful visualizations. With some customization, it can perform magic, including multi-cloud capabilities.
Kubernetes Workloads
Container orchestration adds an extra abstraction layer, and its highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
KubeCost
Provides real-time insights into Kubernetes spending, including network traffic that many tools miss, and cost-saving recommendations. Allows for custom spend categories that combine both Kubernetes and cloud costs.
nOps
Also adds limited cost observability to introspect Kubernetes with more limited metrics set (CPU, GPU, memory) and can serve as all-in-one solution when Kubernetes environment is less dynamic.
OpenCost
Open Source
Multi-cloud cost metrics solution, whose reporting capabilities can be extended by exporting metrics to Prometheus and visualizing them with Grafana.
CloudGeometry's CGDevX toolkit integrates the OpenSource OpenCost tool for simplified deployment.
Cost Optimization
Optimize cloud infrastructure costs through continuous cost optimization, rightsizing, and lifecycle control.
Cloud Services
AWS / Azure / Google Cloud resource, cost management, & optimization.
nOps
CloudCheckr
Provides instance sizing recommendations based on existing Reserved Instances, Savings Plans, and Spot availability, along with advice on optimizing Reserved Instances and Savings Plan coverage.
Cloud Custodian
Open Source
A multi-purpose, cloud-agnostic automation engine, it can be used for automated cleanups of orphaned resources based on utilization metrics, VM off-hours scheduling, and more.
Kubernetes Workloads
Container orchestration adds an extra abstraction layer, as a highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
PerfectScale
A multi-cluster and multi-cloud solution for continuous cost optimization primarily focused on analyzing and recommending resource limits, Providing automatic adjustments.
Cast.ai
Extends continuous Kubernetes resource management capabilities by automating instance selection, rightsizing, and dynamic cluster rebalancing.
OpenCost
Open Source
Recommendations can be applied to optimize Kubernetes cluster utilization. This manual process is only suitable for small-scale deployments with predictable load patterns.
Goldilocks
Enhances reading of Kubernetes Vertical Pod Autoscaler (VPA) data, offering insights on pod resource consumption and rightsizing.
Compute Fleet Management
Cloud Services
AWS / Azure / Google Cloud resource, cost management, & optimization.
Spot.io
A multi-purpose solution, its core function remains managing compute infrastructure for scale-out scenarios. It tracks and scores the spot instance market by type, using these scores, RIs, and savings plans to select the cheapest option for organizations.
Kubernetes Workloads
Container orchestration adds an extra abstraction layer, as its highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
Karpenter
Open Source
Analyzes application load, scheduling, and resource requirements. It automatically removes under-utilized nodes, replaces expensive nodes with cheaper alternatives, and consolidates workloads onto more efficient compute resources.
Governance
Cloud Services
AWS / Azure / Google Cloud resource, cost management, & optimization.
nOps
CloudCheckr
Both provide tagging/labeling strategy, governance, and other compliance checks extending into the security domain.
nOps can also automatically generate continuous Well-Architected Framework reviews.
Kubernetes Workloads
Container orchestration adds an extra abstraction layer, as a highly dynamic and elastic runtime environment requires specialized tools for accurate cost calculation and attribution.
Kyverno
Open Source
As a policy engine primarily focused on security, it can also indirectly reduce cloud infrastructure costs by preventing the provisioning of resources without labels and resource limits, ensuring other Kubernetes cost management tools function correctly.
