What is Archera?
Archera is a cloud management platform designed to empower organizations to optimize their cloud spending on Amazon Web Services (AWS) and Microsoft Azure. The platform offers unique Insured Commitments, allowing users to secure discounts associated with one- or three-year commitments with the reduced risk of shorter terms.
Archera's free platform accelerates cloud procurement and management. It enables flexibility while reducing costs and complexity, across all AWS and Azure reservable services, without affecting cloud infrastructure. Users can maximize discounts, access pricing incentives, and develop long-term growth strategies.
Features
- Insured Commitments: Secure discounts with reduced risk and shorter commitment terms.
- Free Platform: Access core cloud procurement, commitment management, and cost optimization features without any fees.
- Commitment Management: Manage and automate the lifecycle of Reserved Instances (RI) and Savings Plans (SP).
- Discount Maximization: Model cost scenarios to optimize the use of credits, private pricing, and other discounts.
- Automated Assessments: Verify readiness and compliance with best practices for CSP accreditations.
- Multicloud Cost Visibility: Track and understand AWS and Azure cost and resource usage.
- Forecasting and Planning: Accelerate private pricing negotiations and optimize long-term purchasing strategies.
Use Cases
- Optimize cloud spending on AWS and Azure.
- Reduce financial risk associated with long-term cloud commitments.
- Automate cloud cost management and reporting.
- Accelerate enterprise pricing negotiations with cloud providers.
- Maximize the value of cloud credits and discounts.
- Ensure compliance with cloud best practices and certifications.
- Forecast future cloud usage and costs.
FAQs
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How does Archera pricing work?
Archera's core platform is completely free. Charges only apply when you purchase Insured Commitments or optional Advanced Reporting services.
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Archera Uptime Monitor
Average Uptime
99.57%
Average Response Time
212.83 ms
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