PRICING
Find a plan that works
One month trial. No credit card needed.
Get started on your cloud cost observability journey in 5-minutes
PRICING
Find a plan that works
One month trial. No credit card needed.
Get started on your cloud cost observability journey in 5-minutes
PRICING
Find a plan that works
One month trial. No credit card needed.
Get started on your cloud cost observability journey in 5-minutes
Pro
$
199
/ month
Up to $10k spends tracked included*
Up to 50 K8s cores optimization included**
Cost Analyzer
Cost Analyzer
Cost Summary
Cost Summary
Anomaly Detection
Anomaly Detection
Recommendations
Recommendations
Kubernetes Visibility
Kubernetes Visibility
Save charts & views
Save charts & views
Amortized views
Amortized views
Unit Economics
Unit Economics
Cost by Tags
Cost by Tags
Alerts
Alerts
and more…
and more…
*$99 for every additional 10k spends
**$99 for every 50 additional cores
Enterprise
Enterprise
Enterprise
Custom
Priced based on your usage
Upto 100 K8s cores optimization included**
Everything in Pro +
Unlimited data retention
Unlimited data retention
Access to our cost experts
Access to our cost experts
Design partner status
Design partner status
Reports
Reports
Our teams will be in touch with you in a maximum of 48 business hours.
Our teams will be in touch with you in a maximum of 48 business hours.
Trusted source of truth for DevOps industry leaders
Trusted source of truth for DevOps
industry leaders
Hear what they have to say
Co-founder & CTO, Nanonets
Amnic has been a strategic partner for us in our cloud efficiency journey. The team has deep technical chops and has worked closely to develop innovative solutions to tackle the tough problems. We have been able to identify root causes and make our intra-region data transfers as well as S3 bucket data management more efficient with Amnic’s platform.
Mayank Bhola
Co-founder & CTO, Lambdatest
Amnic’s astute recommendation engine helped us reduce our cloud bill through optimization of network and cloudwatch costs. A key differentiator for Amnic remains its strong team which has channelized its significant experience in building a product uniquely suited to address pain points of fast growing companies.
Amit Sharma
Co-founder & Head of Engineering, Metamap
Amnic facilitated our transition from a self-managed Kubernetes environment to EKS, concurrently streamlining costs through implementation of elastic scaling mechanisms and strategic utilization of spot instances.
Sekhar Prakash
Co-founder, Cloud Engineering and Ops, JIFFY.ai
The Amnic platform played a pivotal role in bringing visibility and reducing our Kubernetes cluster costs by 50% by providing precise recommendations for right-sizing instances and pods. The team at Amnic is exceptionally responsive and showcases robust problem-solving abilities when it comes to the technical challenges in Cloud.
- Prathamesh Juvatkar
Co-founder & CTO,
Nanonets
Amnic has been a strategic partner for us in our cloud efficiency journey. The team has deep technical chops and has worked closely to develop innovative solutions to tackle the tough problems. We have been able to identify root causes and make our intra-region data transfers as well as S3 bucket data management more efficient with Amnic’s platform.
Sekhar Prakash
Co-founder, Cloud Engineering and Ops, JIFFY.ai
The Amnic platform played a pivotal role in bringing visibility and reducing our Kubernetes cluster costs by 50% by providing precise recommendations for right-sizing instances and pods. The team at Amnic is exceptionally responsive and showcases robust problem-solving abilities when it comes to the technical challenges in Cloud.
Mayank Bhola
Co-founder & CTO, Lambdatest
Amnic’s astute recommendation engine helped us reduce our cloud bill through optimization of network and cloudwatch costs. A key differentiator for Amnic remains its strong team which has channelized its significant experience in building a product uniquely suited to address pain points of fast growing companies.
Amit Sharma
Co-founder & Head of Engineering, Metamap
Amnic facilitated our transition from a self-managed Kubernetes environment to EKS, concurrently streamlining costs through implementation of elastic scaling mechanisms and strategic utilization of spot instances.