UPDATEd ON
20 Dec
2024
AutoStopping Rules minimize cloud waste by shutting down idle resources and running non-production workloads on spot instances without risk of interruptions. This automation can cut non-production costs by up to 70%, ensuring you only pay for active resources while seamlessly accessing stopped instances.
Harness Cloud Asset Governance automates cloud policy management across AWS, Azure, and GCP. By setting guardrails for cost, security, and compliance, it eliminates manual approvals and enables proactive remediation, saving your team’s time and resources. With built-in support for orphaned resource cleanup, auto-tagging, and cost optimization, this governance-as-code engine ensures adherence to policies, reduces cloud waste, and secures a well-managed, compliant cloud environment.
Harness CCM’s anomaly detection feature keeps cloud costs in check by identifying unexpected cost spikes across Kubernetes clusters and cloud accounts. With real-time alerts via email or Slack, you’re immediately notified of any abnormal expenses, helping prevent cloud overspend and cost fluctuations due to inefficient resource usage.
Harness CCM offers a comprehensive suite of features for cloud cost management, including granular cost allocation (with Kubernetes-specific insights), dynamic bucketing, multi-cloud cost visualizations, and robust governance capabilities. Harness CCM’s unique capabilities like Automated Idle Resource Management, Spot Orchestration, Kubernetes recommendations, and AI-assisted governance rules make it ideal for teams focused on optimizing cloud resources and enforcing FinOps practices at scale. ProsperOps, on the other hand, is more streamlined, focusing primarily on Reserved Instance (RI) and Savings Plan (SP) recommendations, contract execution, and out-of-the-box dashboards, providing essential tools for cost management but lacking the broader visibility, automation, and customization options offered by Harness CCM.
Deployment Option
SaaS and Self-Hosted
<no><no>
Multi-Cloud Support
AWS, Azure and GCP
AWS and GCP
On-Prem Cost Monitoring
<with><with>Partial, Kubernetes Only
<no><no>
Pricing Model
Percentage Cloud Spend
<yes><yes>
Cost Perspectives / Chargeback / Showback
<yes><yes>
<no><no>
Cost Categories / Dynamic Bucketing
<yes><yes>
<no><no>
Kubernetes Cost Allocation (By Node/Cluster/Workload)
<yes><yes>
<no><no>
Multi-Cloud Cost Visualizations
<yes><yes>
<no><no>
Import 3rd Party Costs
<yes><yes>
<no><no>
Out-of-the-Box Dashboards
<yes><yes>
<yes><yes>
Custom BI Dashboards
<yes><yes>
<no><no>
Forecasting
<yes><yes>
<no><no>
Cloud Inventory
<yes><yes>
<no><no>
Anomaly Detection
<yes><yes>
<no><no>
Automated Idle Resource Management
<yes><yes>
<no><no>
Spot Orchestration
<yes><yes>
<no><no>
Cluster Orchestration on Spot Instances
<yes><yes>
<no><no>
Kubernetes Node-Pool Recommendations
<yes><yes>
<no><no>
Kubernetes Workload Recommendations
<yes><yes>
<no><no>
AWS Compute Recommendations
<yes><yes>
<no><no>
Azure Compute Recommendations
<yes><yes>
<no><no>
GCP Compute Recommendations
<yes><yes>
<no><no>
RI / SP Planning and Recommendations
<yes><yes>
<yes><yes>
Automated RI / SP Contract Execution
<yes><yes>
<yes><yes>
Out-of-the-Box Governance Policy Rules
<yes><yes>
<no><no>
Automated Governance Rule Enforcement
<yes><yes>
<no><no>
AI Assisted Governance Rule Creation
<yes><yes>
<no><no>
Budgets
<yes><yes>
<no><no>
Alerts
<yes><yes>
<no><no>
Reporting
<yes><yes>
<no><no>
Multi-Currency Support
<yes><yes>
<no><no>
MSP Margin Adjustments
<yes><yes>
<no><no>
Role-based Access Control
<yes><yes>
<no><no>
Full Audit Trails
<yes><yes>
<no><no>
APIs Available
<yes><yes>
<no><no>
24/7 Support Available
<yes><yes>
<no><no>
Training
<yes><yes>
<no><no>
Documentation
<yes><yes>
<yes><yes>
Harness CCM offers a more comprehensive and feature-rich platform with advanced cost optimization tools, automated governance, anomaly detection, and deeper insights into multi-cloud environments. ProsperOps focuses more narrowly on RI/SP management and contract execution, making it a good choice for users primarily looking for optimization in those areas but lacking the broader cost control capabilities offered by Harness CCM.
AutoStopping Rules
AutoStopping Rules minimize cloud waste by automatically shutting down idle resources and ensuring non-production workloads run only on spot instances, completely avoiding interruptions. This automation ensures that you're not paying for cloud resources that are left running unnecessarily, which can contribute to significant savings—up to 70%—in non-production environments. By effectively managing when to start and stop resources, it ensures that only active resources incur charges. You can still seamlessly access instances that have been stopped, maintaining full functionality with zero manual intervention. This results in a streamlined and cost-effective approach to managing cloud infrastructure, reducing both unnecessary spend and administrative overhead.
Cloud Asset Governance
Harness Cloud Asset Governance brings an automated, streamlined approach to managing cloud policies across multiple platforms, including AWS, Azure, and GCP. By setting clear guardrails for cost, security, and compliance, it eliminates the need for manual approval processes and offers proactive remediation to keep your cloud environment compliant and cost-efficient. The platform ensures that resources are constantly checked for adherence to predefined policies, preventing unnecessary cloud waste. It also integrates essential features like auto-tagging, orphaned resource cleanup, and cost optimization, creating a governance-as-code engine that enforces policies and secures your environment, while saving valuable time and resources for your team. With Harness CCM’s governance tools, cloud costs are minimized, and security and compliance risks are reduced.
Anomaly Detection
Harness CCM’s anomaly detection feature empowers organizations to keep cloud costs under control by identifying unexpected spikes in expenses across Kubernetes clusters, AWS, GCP, and Azure accounts. Through advanced statistical techniques and machine learning algorithms, CCM analyzes historical data to establish expected spending patterns, and alerts users whenever there’s a deviation beyond set thresholds. These anomalies could be one-time cost spikes or gradual increases, both of which could signal inefficiencies, misconfigurations, or unused resources.
Real-time alerts provide timely notifications, allowing teams to act quickly to mitigate potential overspend. This proactive approach ensures that unexpected costs don't go unnoticed, helping prevent budget overruns and maintain cost efficiency. Whether it’s a sudden increase in cloud usage or an unnoticed waste of resources, anomaly detection helps organizations stay on top of their cloud expenses. By integrating these alerts with your existing workflows, teams can continuously optimize usage, spot inefficiencies, and control costs before they spiral out of control, ensuring long-term cloud cost sustainability.