Understanding and managing cloud infrastructure costs is a critical challenge for many organizations, who often view these expenses as OpEx (ie. paid for monthly) rather than CapEx. Without a clear understanding of the expense required to run resources in their cloud provider, some customers are forced to consider moving from public cloud to private cloud specifically due to cost concerns.
Tines helps you overcome this challenge by collecting cost metrics and information and displaying it in a meaningful manner.
Unifying cloud cost metrics
The Tines platform can be used to gather and analyze infrastructure cost data across your environment. Utilizing tools like Story copilot, Tines collects key information geared toward showing how much a system or service is costing your organization.
We can collect data for various resources, including:
Compute: EC2 instances, and Kubernetes environments such as EKS, GKE, and AKS.
Storage: EBS volumes and snapshots.
Networking: Elastic IP addresses and NAT gateways.
All of this data is collected, centralized, and visualized in a single pane of glass. This visualization can provide a complete breakdown of charges, such as costs for EC2 instances versus EKS nodes, an overall count of the resource inventory, and a summary cost report.
Note: While Tines offers a Tines Page for visualization, this information can also be integrated into another application if preferred.
Visibility across hybrid environments
Since most organizations operate in hybrid environments, Tines is built to be cloud-agnostic. It can go out to various platforms and applications, including AWS, GCP, Azure, Oracle Cloud, private cloud providers, or on-premise systems to collect the necessary information.
Tines aggregates this complex data at a central point (known as an "implode"), pulling together information from all platforms to provide a cohesive view of your environments.
Driving actionable cost optimization
Once the data is aggregated, you can use Tines to leverage it for proactive cost management:
Executive reporting: Roll up the total spend for all environments and distribute it by email to executives.
Optimization recommendations: Pass collected cost metrics to a Tines AI Agent, which can help you make decisions for cost savings. These recommendations may include right-sizing or configuration drift analysis using a Tines workflow.
Historical analysis: Store the cost information in records to enable month-over-month analysis.