UPDATEd ON
5 Dec
2024
Perspectives gives your teams deep insights into their multi-cloud and Kubernetes costs, viewed in their business context.
Easily attribute shared cluster costs to users, as well as get recommendations for node-pool and workload rightsizing.
Automatically detect, shutdown and restart idle non-production resources with Cloud AutoStopping.
ServiceNow has a broad portfolio of products for IT Asset Management, IT Operations Management and more, and has been widely integrated with 3rd party applications. Their Cloud Insights (aka Cloud Cost Management) provides basic cost information, as well as passing through recommendations from the cloud providers. However, they don’t deliver the granular cost visibility, support for Kubernetes or cost governance that Harness does out of the box.
Solution
Deployment Option
SaaS and Self-Hosted
Self-Hosted
Multi-Cloud Support
AWS, Azure, and GCP
AWS, Azure and GCP
On-Prem Cost Monitoring
<with><with>
Kubernetes Only
<yes><yes>
Pricing Model
Percentage Cloud Spend
Unknown
Cost Visibility
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>
<yes><yes>
Import 3rd Party Costs
Coming soon
<no><no>
Out-of-the-Box Dashboards
<yes><yes>
<yes><yes>
Custom BI Dashboards
<yes><yes>
<no><no>
Forecasting
<yes><yes>
<yes><yes>
Cloud Inventory
<yes><yes>
<yes><yes>
Cost Optimization
Anomaly Detection
<yes><yes>
<no><no>
Automated Idle Resource Management
<yes><yes>
<with><with> Manual schedule
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>
<yes><yes>
Azure Compute Recommendations
<yes><yes>
<yes><yes>
GCP Compute Recommendations
<no><no>
<yes><yes>
RI / SP Planning and Recommendations
<yes><yes>
<with><with>
Automated RI / SP Contract Execution
<yes><yes>
<no><no>
Cost governance
Out-of-the-Box Governance Policy Rules
<yes><yes>
<no><no>
Automated Governance Rule Enforcement
<yes><yes>
<with><with>
AI Assisted Governance Rule Creation
<yes><yes>
<no><no>
Budgets
<yes><yes>
<with><with>
Alerts
<yes><yes>
<no><no>
Reporting
<yes><yes>
<no><no>
Administrative
Multi-Currency Support
<yes><yes>
<yes><yes>
MSP Margin Adjustments
<yes><yes>
<no><no>
Role-based Access Control
<yes><yes>
<with><with>
Full Audit Trails
<yes><yes>
<yes><yes>
APIs Available
<yes><yes>
<no><no>
24/7 Support Available
<yes><yes>
<yes><yes>
Training
<yes><yes>
<yes><yes>
Documentation
<yes><yes>
<yes><yes>
ServiceNow is a giant in the IT Asset Management, Operations Management and Business Management space, with a breadth of tooling to manage both on-premises and cloud infrastructure. Their focus on cloud observability and asset management has made them a go-to vendor for cloud performance monitoring and management. It’s no surprise that they’ve added a tool to their portfolio to report on cloud costs to provide customers more holistic views into their cloud infrastructure.
However, as strong as they are with performance and portfolio management, they haven’t invested the same level of depth into their cloud cost management and reporting. They can provide basic views of multi-cloud costs, broken down by the basic tags / labels that the cloud providers store, but can’t customize those views to create common cost buckets, nor provide a hierarchical view of costs in your business context.
If you want to get granular views of your cloud costs, in your business context, combined with automated cloud cost savings features such as Cloud AutoStopping and Cloud Asset Governance, Harness is the way to go. Unlike ServiceNow, we have deep support for Kubernetes cost management, giving you the best insights into your shared cluster costs, and recommendations on how to reduce those costs.
Modern SaaS infrastructure relies on containers and Kubernetes for easy scalability and flexible deployment models. However, shared cost allocation is a challenge unless you have the tools in place to dig into costs by workload/node/pod/label, etc. Harness CCM provides detailed cost analysis for Kubernetes clusters at a granular level that can be tailored for your business.
ServiceNow’s support for Kubernetes focuses on infrastructure configuration management, with no support for reporting on Kubernetes costs in any way. They also do not provide cost savings recommendations for Kubernetes in any form.
Getting engineers to take action on cloud cost recommendations shouldn’t be your only path to cloud cost savings. Automation can unlock cost savings opportunities that simply can’t be realized with manual or scripted efforts. Harness CCM has a multitude of automation tools that save our customers money, from idle cloud resource management (Cloud Autostopping™) to spot instance orchestration, and more, that saves our customers up to 80% on cloud costs.
ServiceNow does provide schedule based instance shut down, but it’s little better than a manually maintained Lambda script. While this can save on cloud costs, it leaves a lot of cost savings on the table, especially for test resources that are not used consistently during working hours. Any deviations needed from the predetermined schedule need manual administrative attention to execute. Beyond that, ServiceNow does not have any automation to enable cloud cost savings for their customers.
Harness allows customers to automatically flag and drill down to any anomalous cost spikes, avoiding end-of-month surprises. Leveraging machine learning that customizes itself to a customer’s environment, including customizations for seasonality, customers can proactively detect and resolve cost spikes quickly and easily.
ServiceNow does not have automated anomaly detection for cloud costs. Their anomaly detection is focused on infrastructure performance and resource utilization, so if cloud costs are spiking, they have no way to alert you to it.