Spend Optimization
Generate the largest possible savings with predictive analytics and actionable resource purchasing recommendations.
Right Sizing and RI Rebalancer
Actionable insights pinpoint wasted resources, provide resource re-sizing recommendations, and ensure every dollar is continuously being optimized across AWS, Azure, and Google Cloud Platform.
Cost Allocation
Red Plaid includes advanced features like the Cost Changes Report which enables instant visibility into spend across disparate cloud services and providers.
DBR Control
Never stress about surprise invoices again. Detailed billing analytics with sophisticated advance alerting and cloud governance ensure that you’re in control.
Cost Best Practices
500+ Best Practices checks continuously monitor AWS, Azure, and Google Cloud Platform to identify idle resources, unused instances and VMs, EC2 Reserved Instance mismatches, and more.
Invoicing, Billing and Chargebacks
Red Plaid programmatically creates and schedules invoices for multiple accounts, business units, departments, and application owners.
Maintain Compliance
Monitor security and compliance against a wide range of frameworks and regulations including HIPAA, PCI, GDPR, NIST, ISO 27001, and more.
Automate Processes
Increase efficiencies by automating tasks, such as spinning down of underutilized resources.
Boost Performance
Monitor the performance of your cloud-based resources 24/7 to improve productivity and user experience.
Increase Visibility
Get access to all of your cloud resources – public, private, and hybrid – from a single console.
Optimize Your Cloud Spend
Gain visibility into your resource utilization across cloud environments so you can maximize your cloud investments.
- Analyze spending trends by resource type, month, and cloud. Identify outliers and forecast monthly spend.
- Calculate total savings available by removing idle or unused resources and identify opportunities for using Reserved Instances to lower costs.
- Automate cost optimization by spinning down environments when not in use or based on conditions such as CPU utilization and other variables.