CAST AI Comparison Guide

Comprehensive Multi-Cloud Support

Harness offers full visibility and cost optimization across AWS, Azure, GCP, and Kubernetes environments. While CAST AI focuses primarily on Kubernetes, Harness provides broader support for multi-cloud workloads, ensuring that organizations can manage and optimize costs across diverse cloud providers.

Advanced Governance & Budget Controls

Harness delivers powerful governance capabilities, including automated policy enforcement, budget tracking, and AI-driven recommendations. In contrast, CAST AI lacks comprehensive governance and budgeting tools, making it harder for organizations to enforce cloud cost policies and maintain financial control across different teams and environments.

Complete Automation for Cloud Cost Savings

Harness automates key cost-saving actions such as Cloud AutoStopping, Spot Instance Orchestration, and Commitment Orchestration. This allows teams to significantly reduce cloud spend without manual intervention. CAST AI’s automation is more limited, focusing on Kubernetes optimization and missing broader cloud-wide automation for cost savings.

Cloud Cost Management

Harness

Cast AI

Deployment Option

SaaS and Self-Hosted

SAAS

Multi-Cloud Support

AWS, Azure and GCP

AKS/EKS/GKE (Kubernetes Only)

On-Prem Cost Monitoring

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Pricing Model

Percentage Cloud Spend

$200-$1000/month + $5/CPU

Cost Perspectives / Chargeback / Showback

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Cost Categories / Dynamic Bucketing

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Kubernetes Cost Allocation (By Node/Cluster/Workload)

Multi-Cloud Cost Visualizations

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Import 3rd Party Costs

Out-of-the-Box Dashboards

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Custom BI Dashboards

Forecasting

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Cloud Inventory

Anomaly Detection

Automated Idle Resource Management

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Spot Orchestration

Cluster Orchestration on Spot Instances

Kubernetes Node-Pool Recommendations

Kubernetes Workload Recommendations

AWS Compute Recommendations

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Azure Compute Recommendations

GCP Compute Recommendations

RI / SP Planning and Recommendations

Automated RI / SP Contract Execution

Out-of-the-Box Governance Policy Rules

Automated Governance Rule Enforcement

AI Assisted Governance Rule Creation

Budgets

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Alerts

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Reporting

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Multi-Currency Support

MSP Margin Adjustments

Role-based Access Control

Full Audit Trails

APIs Available

24/7 Support Available

Training

Documentation

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Detailed feature comparison

When evaluating Harness Cloud Cost Management against CAST AI, it’s clear that both platforms are designed to optimize cloud costs, but their focus and feature sets differ significantly.

Harness Cloud Cost Management is built for a broader cloud ecosystem, offering in-depth cost management across multi-cloud environments (AWS, Azure, GCP), with full Kubernetes support. Harness excels in automation, providing tools like Cloud AutoStopping, Spot Instance Orchestration, and Commitment Orchestration. These capabilities enable teams to save on non-production workloads, automate the orchestration of cost-saving resources, and purchase and manage Reserved Instances and Savings Plans effectively. Harness also stands out with its robust governance and budgetary controls, ensuring that teams have the visibility and control they need to manage cloud spend across all environments.

CAST AI, on the other hand, is heavily focused on Kubernetes cost optimization. While it offers solid AI-driven recommendations for K8s workloads, its multi-cloud support is limited primarily to Kubernetes environments. CAST AI does provide features like Spot Instance Orchestration, but it lacks more comprehensive cloud cost management features that extend beyond Kubernetes. It also lacks support for important governance tools, such as budgets, multi-cloud chargebacks, or detailed reporting for non-Kubernetes environments.

Key Feature Comparisons:

Multi-Cloud Support:
Harness supports AWS, Azure, GCP, and Kubernetes, offering comprehensive cost optimization and visibility across these platforms. In contrast, CAST AI is mainly focused on Kubernetes clusters and does not fully support non-K8s workloads in multi-cloud environments.
Governance & Budgeting:
Harness offers robust governance features with out-of-the-box policy rules, automated rule enforcement, and AI-assisted governance rule creation. CAST AI lacks some of these governance capabilities, particularly in areas such as budgets and multi-cloud cost controls.
Cost Allocation & Chargebacks:
Both platforms offer Kubernetes cost allocation by node, cluster, and workload. However, Harness extends this functionality beyond Kubernetes with multi-cloud cost perspectives and chargebacks, while CAST AI’s allocation features are limited to Kubernetes-only environments.
Automated Cost Management:
Harness leads with full-featured automation, including auto-stopping idle resources across clouds, Spot Instance Orchestration, and Commitment Orchestration. CAST AI focuses on Kubernetes automation but offers less comprehensive cloud-wide automation beyond K8s.

In summary, Harness offers a more comprehensive solution for cloud cost management, with features that extend across multi-cloud environments and on-prem resources, coupled with robust governance and automation. CAST AI, while strong in Kubernetes cost optimization, falls short in providing the breadth of capabilities needed for full multi-cloud governance and automation, making it less suitable for businesses looking to manage cloud costs holistically.

Harness CCM vs Cast AI