Cloud Cost Visualization
Cloud Cost Visualization
Break down and visualize every cloud cost, across any provider, for every dimension, in just a few clicks with Amnic.
Break down and visualize every cloud cost, across any provider, for every dimension, in just a few clicks with Amnic.
TRUSTED BY
humanify
TRUSTED BY
humanify
TRUSTED BY
humanify
If You Can't See it,
If You Can't See it,
You Can't Control it.
You Can't Control it.
Benefits
Why Companies Swear By Amnic’s Cloud Cost Visualization?
Why Companies Swear By Amnic’s Cloud Cost Visualization?
Multi-cloud single pane view
Multi-cloud single pane view
Multi-cloud single pane view
Transparency across teams
Transparency across teams
Transparency across teams
Spot cost spikes quickly
Spot cost spikes quickly
Spot cost spikes quickly
Visual cost breakdowns & actionable data
Visual cost breakdowns & actionable data
Realistic budgets& cost forecasts
Realistic budgets& cost forecasts
Encourage FinOps practices
Encourage FinOps practices
Visualize Cloud Costs with Amnic
Bring all your cloud costs together into a unified, customizable view. Whether it's AWS, Azure, GCP, Kubernetes, or other SaaS tools, you’ll have everything at your fingertips to visualize cloud cost trends.
Category Views
Gain a consolidated view of your cloud costs across network, storage, compute, data transfer, and Kubernetes costs across all major cloud providers.
K8s Cluster Cost Report
Look into K8s spend and usage across compute, network, storage, and control plane. Analyze costs by cluster, workload, node, and pod and adjust reporting timeframes and date ranges.
K8s Cluster Cost Report
Look into K8s spend and usage across compute, network, storage, and control plane. Analyze costs by cluster, workload, node, and pod and adjust reporting timeframes and date ranges.
K8s Cluster Cost Report
Look into K8s spend and usage across compute, network, storage, and control plane. Analyze costs by cluster, workload, node, and pod and adjust reporting timeframes and date ranges.
Data Transfer Cost Insights
Track data transfer costs by resource and region, spotting trends and optimizing data pipelines to avoid unexpected costs.
Data Transfer Cost Insights
Track data transfer costs by resource and region, spotting trends and optimizing data pipelines to avoid unexpected costs.
Data Transfer Cost Insights
Track data transfer costs by resource and region, spotting trends and optimizing data pipelines to avoid unexpected costs.
Compute Cost Management
Break down compute spending by account, region, instance type, and pricing model. Rightsize instances and reduce costs with reserved or spot options.
Compute Cost Management
Break down compute spending by account, region, instance type, and pricing model. Rightsize instances and reduce costs with reserved or spot options.
Compute Cost Management
Break down compute spending by account, region, instance type, and pricing model. Rightsize instances and reduce costs with reserved or spot options.
Storage Expense Monitoring
Analyze storage costs by resource type and operation (e.g. AWS S3 storage). Identify high-cost areas and optimize the allocation of resources for maximum cloud efficiency.
Storage Expense Monitoring
Analyze storage costs by resource type and operation (e.g. AWS S3 storage). Identify high-cost areas and optimize the allocation of resources for maximum cloud efficiency.
Storage Expense Monitoring
Analyze storage costs by resource type and operation (e.g. AWS S3 storage). Identify high-cost areas and optimize the allocation of resources for maximum cloud efficiency.
Network Cost Analysis
Visualize network costs by resource, service, and cloud provider. Filter and sort by time ranges or other custom dimensions for detailed trend analysis.
Network Cost Analysis
Visualize network costs by resource, service, and cloud provider. Filter and sort by time ranges or other custom dimensions for detailed trend analysis.
Network Cost Analysis
Visualize network costs by resource, service, and cloud provider. Filter and sort by time ranges or other custom dimensions for detailed trend analysis.
Cost Analyzer
Slice and dice all your costs across leading cloud providers and SaaS tools in one place, with easy aggregation, sorting, and filtering for precise analysis.
FOCUS™ Alignment
Aligns with open-source FinOps standards for a consistent, organization-wide view of cloud spend.
FOCUS™ Alignment
Aligns with open-source FinOps standards for a consistent, organization-wide view of cloud spend.
FOCUS™ Alignment
Aligns with open-source FinOps standards for a consistent, organization-wide view of cloud spend.
Saved Charts
Build, save, and share custom charts for quick access to view critical cost breakdowns across resources, teams, environments, and business units at will.
Saved Charts
Build, save, and share custom charts for quick access to view critical cost breakdowns across resources, teams, environments, and business units at will.
Saved Charts
Build, save, and share custom charts for quick access to view critical cost breakdowns across resources, teams, environments, and business units at will.
Cost Trend Heatmaps & Breakdowns
Visualize spending patterns and trends in seconds. Split costs into billed vs. amortized views for a granular breakdown of costs.
Cost Trend Heatmaps & Breakdowns
Visualize spending patterns and trends in seconds. Split costs into billed vs. amortized views for a granular breakdown of costs.
Cost Trend Heatmaps & Breakdowns
Visualize spending patterns and trends in seconds. Split costs into billed vs. amortized views for a granular breakdown of costs.
Custom Filters & Groups
Segment costs by provider, service, region, and more to understand cloud expenses at a granular level.
Custom Filters & Groups
Segment costs by provider, service, region, and more to understand cloud expenses at a granular level.
Custom Filters & Groups
Segment costs by provider, service, region, and more to understand cloud expenses at a granular level.
K8s Cost Management
Run cost-effective, rightsized Kubernetes environments . Get clear visibility into cluster, workload, pod, and node-level costs and utilization. Quickly measure and track compute, storage, and network expenses, and allocate them to the appropriate teams, apps, products, and more.
Percentile Profiles for Rightsizing
Optimize Kubernetes clusters using tailored recommendations for CPU and memory allocation based on percentile profiles (P99, P95, P90, P75) to balance cost savings with reliability and performance.
Percentile Profiles for Rightsizing
Optimize Kubernetes clusters using tailored recommendations for CPU and memory allocation based on percentile profiles (P99, P95, P90, P75) to balance cost savings with reliability and performance.
Percentile Profiles for Rightsizing
Optimize Kubernetes clusters using tailored recommendations for CPU and memory allocation based on percentile profiles (P99, P95, P90, P75) to balance cost savings with reliability and performance.
Optimization Recommendations
Get tailored suggestions for container and PVC rightsizing, improve bin packing efficiency, and reduce overall costs.
Optimization Recommendations
Get tailored suggestions for container and PVC rightsizing, improve bin packing efficiency, and reduce overall costs.
Optimization Recommendations
Get tailored suggestions for container and PVC rightsizing, improve bin packing efficiency, and reduce overall costs.
Clear Visualizations & Reports
View cost splits, efficiency scores, and telemetry data in one simplified dashboard to make smarter decision-making easy.
Clear Visualizations & Reports
View cost splits, efficiency scores, and telemetry data in one simplified dashboard to make smarter decision-making easy.
Clear Visualizations & Reports
View cost splits, efficiency scores, and telemetry data in one simplified dashboard to make smarter decision-making easy.
Karpenter Configuration Recommendations
Utilize actionable data with Amnic’s Karpenter-compliant platform to help you optimize and autoscale node and cluster configurations for peak efficiency.
Karpenter Configuration Recommendations
Utilize actionable data with Amnic’s Karpenter-compliant platform to help you optimize and autoscale node and cluster configurations for peak efficiency.
Karpenter Configuration Recommendations
Utilize actionable data with Amnic’s Karpenter-compliant platform to help you optimize and autoscale node and cluster configurations for peak efficiency.
Cluster-Level Utilization Metrics
Monitor CPU, memory, and network usage to keep clusters rightsized and avoid under or over-provisioning.
Cluster-Level Utilization Metrics
Monitor CPU, memory, and network usage to keep clusters rightsized and avoid under or over-provisioning.
Cluster-Level Utilization Metrics
Monitor CPU, memory, and network usage to keep clusters rightsized and avoid under or over-provisioning.
Who Needs Cloud Cost Visualization?
Software Engineers
Software Engineers
Finance Teams
Finance Teams
DevOps Teams
DevOps Teams
FinOps Practitioners
FinOps Practitioners
Product Managers
Product Managers
Client Success Story
UNI Achieves 20% Reduction in Cloud Infrastructure Costs
Amnic’s Cloud Cost Visualization enabled UNI to gain complete visibility into costs across all resources, instances, and Kubernetes pods. With this data, the UNI team could take actionable steps to optimize their cloud infrastructure.
“Working with Amnic has paved the way for a journey where we have control and comprehension of the overall cloud spend. While we have been able to successfully optimize our infrastructure, Amnic is playing the long-term role of watching out for unprecedented costs and giving us insights into spends that could be better managed over time.”
Abhra Dasgupta
UNI
Optimizing Amazon CloudWatch
By fine-tuning Amazon CloudWatch configurations, UNI reduced unnecessary monitoring costs while retaining essential performance insights.
Optimal Instance Type Recommendations for EC2
Leveraging Amnic’s data analytics, the partner provided recommendations for optimal EC2 instance types, ensuring the best performance-to-cost ratio based on UNI workload requirements.
Right-Sizing of Kubernetes Nodes and Pods
A thorough analysis of Kubernetes usage identified opportunities to rightsize nodes and pods, aligning resources more closely with actual demand and avoiding over-provisioning.
Open Financial Reduced Overall Cloud Costs by 30% with Amnic
Open Financial Technologies partnered with Amnic to address surging cloud costs. With Amnic’s cloud cost management platform, they gained deeper visibility into their AWS usage and implemented actionable recommendations, leading to a 30% reduction in overall cloud expenses.
“While we understood that our cloud costs were a challenge, the extent of how much we could optimize it and run a lean infrastructure was still in the dark. We wanted to find a solution that could easily be implemented to break our costs down and give us a clearer picture of the costs associated at the various service levels and what can be done to manage our overall cloud spend.”
Ajeesh Achuthan
Co-Founder & CTO, Open Financial
Comprehensive AWS Visibility
Identified inefficiencies across EC2 instances, RDS databases, EBS volumes, and storage snapshots.
Optimal Instance Recommendations
Improved resource utilization by aligning EC2 and RDS configurations with workload needs.
EBS Volume Optimization
Migrated to GP3 volumes, reducing storage costs without sacrificing performance.
Snapshot Optimization
Eliminated unnecessary snapshots to lower costs while maintaining data integrity.
Savings Plan and RI Adoption
Leveraged AWS Savings Plans and Reserved Instances to unlock cost-saving opportunities.
Nanonets Achieved a 40% Drop in Compute Costs with Amnic
Nanonets leveraged Amnic to tackle rising cloud expenses and improve resource efficiency. Within 24 hours of implementation, the team identified and acted on optimization opportunities across Kubernetes, compute, S3 storage, and networking.
“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 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”
Prathmesh Juvatkar
Co-founder & CTO, Nanonets
40% Reduction in Compute Costs
Through Kubernetes node and pod right-sizing and adopting Karpenter for auto-scaling.
50% Savings on S3 Storage
By implementing intelligent storage tiers based on access patterns.
60% Reduction in Intra-Region Network Costs
Achieved through improved visibility and strategic infrastructure decisions.
Seamless Integration
Enabled quick implementation with actionable insights within 24 hours.
Open Financial Reduced Overall Cloud Costs by 30% with Amnic
Open Financial Technologies partnered with Amnic to address surging cloud costs. With Amnic’s cloud cost management platform, they gained deeper visibility into their AWS usage and implemented actionable recommendations, leading to a 30% reduction in overall cloud expenses.
“While we understood that our cloud costs were a challenge, the extent of how much we could optimize it and run a lean infrastructure was still in the dark. We wanted to find a solution that could easily be implemented to break our costs down and give us a clearer picture of the costs associated at the various service levels and what can be done to manage our overall cloud spend.”
Ajeesh Achuthan
Co-Founder & CTO, Open Financial
Comprehensive AWS Visibility
Identified inefficiencies across EC2 instances, RDS databases, EBS volumes, and storage snapshots.
Optimal Instance Recommendations
Improved resource utilization by aligning EC2 and RDS configurations with workload needs.
EBS Volume Optimization
Migrated to GP3 volumes, reducing storage costs without sacrificing performance.
Snapshot Optimization
Eliminated unnecessary snapshots to lower costs while maintaining data integrity.
Savings Plan and RI Adoption
Leveraged AWS Savings Plans and Reserved Instances to unlock cost-saving opportunities.
Open Financial Reduced Overall Cloud Costs by 30% with Amnic
Open Financial Technologies partnered with Amnic to address surging cloud costs. With Amnic’s cloud cost management platform, they gained deeper visibility into their AWS usage and implemented actionable recommendations, leading to a 30% reduction in overall cloud expenses.
“While we understood that our cloud costs were a challenge, the extent of how much we could optimize it and run a lean infrastructure was still in the dark. We wanted to find a solution that could easily be implemented to break our costs down and give us a clearer picture of the costs associated at the various service levels and what can be done to manage our overall cloud spend.”
Ajeesh Achuthan
Co-Founder & CTO, Open Financial
Comprehensive AWS Visibility
Identified inefficiencies across EC2 instances, RDS databases, EBS volumes, and storage snapshots.
Optimal Instance Recommendations
Improved resource utilization by aligning EC2 and RDS configurations with workload needs.
EBS Volume Optimization
Migrated to GP3 volumes, reducing storage costs without sacrificing performance.
Snapshot Optimization
Eliminated unnecessary snapshots to lower costs while maintaining data integrity.
Savings Plan and RI Adoption
Leveraged AWS Savings Plans and Reserved Instances to unlock cost-saving opportunities.
UNI Achieves 20% Reduction in Cloud Infrastructure Costs
Amnic’s Cloud Cost Visualization enabled UNI to gain complete visibility into costs across all resources, instances, and Kubernetes pods. With this data, the UNI team could take actionable steps to optimize their cloud infrastructure.
“Working with Amnic has paved the way for a journey where we have control and comprehension of the overall cloud spend. While we have been able to successfully optimize our infrastructure, Amnic is playing the long-term role of watching out for unprecedented costs and giving us insights into spends that could be better managed over time.”
Abhra Dasgupta
UNI
Optimizing Amazon CloudWatch
By fine-tuning Amazon CloudWatch configurations, UNI reduced unnecessary monitoring costs while retaining essential performance insights.
Optimal Instance Type Recommendations for EC2
Leveraging data analytics, the partner provided recommendations for optimal EC2 instance types, ensuring the best performance-to-cost ratio based on UNI workload requirements.
Right-Sizing of Kubernetes Nodes and Pods
A thorough analysis of Kubernetes usage identified opportunities to right-size nodes and pods, aligning resources more closely with actual demand and avoiding over-provisioning.
UNI Achieves 20% Reduction in Cloud Infrastructure Costs
Amnic’s Cloud Cost Visualization enabled UNI to gain complete visibility into costs across all resources, instances, and Kubernetes pods. With this data, the UNI team could take actionable steps to optimize their cloud infrastructure.
“Working with Amnic has paved the way for a journey where we have control and comprehension of the overall cloud spend. While we have been able to successfully optimize our infrastructure, Amnic is playing the long-term role of watching out for unprecedented costs and giving us insights into spends that could be better managed over time.”
Abhra Dasgupta
UNI
Optimizing Amazon CloudWatch
By fine-tuning Amazon CloudWatch configurations, UNI reduced unnecessary monitoring costs while retaining essential performance insights.
Optimal Instance Type Recommendations for EC2
Leveraging data analytics, the partner provided recommendations for optimal EC2 instance types, ensuring the best performance-to-cost ratio based on UNI workload requirements.
Right-Sizing of Kubernetes Nodes and Pods
A thorough analysis of Kubernetes usage identified opportunities to right-size nodes and pods, aligning resources more closely with actual demand and avoiding over-provisioning.
Nanonets Achieved a 40% Drop in Compute Costs with Amnic
Nanonets leveraged Amnic to tackle rising cloud expenses and improve resource efficiency. Within 24 hours of implementation, the team identified and acted on optimization opportunities across Kubernetes, compute, S3 storage, and networking.
“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 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”
Prathmesh Juvatkar
Co-founder & CTO, Nanonets
40% Reduction in Compute Costs
Through Kubernetes node and pod right-sizing and adopting Karpenter for auto-scaling.
50% Savings on S3 Storage
By implementing intelligent storage tiers based on access patterns.
60% Reduction in Intra-Region Network Coststion
Achieved through improved visibility and strategic infrastructure decisions.
Seamless Integration
Enabled quick implementation with actionable insights within 24 hours.
Nanonets Achieved a 40% Drop in Compute Costs with Amnic
Nanonets leveraged Amnic to tackle rising cloud expenses and improve resource efficiency. Within 24 hours of implementation, the team identified and acted on optimization opportunities across Kubernetes, compute, S3 storage, and networking.
“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 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”
Prathmesh Juvatkar
Co-founder & CTO, Nanonets
40% Reduction in Compute Costs
Through Kubernetes node and pod right-sizing and adopting Karpenter for auto-scaling.
50% Savings on S3 Storage
By implementing intelligent storage tiers based on access patterns.
60% Reduction in Intra-Region Network Coststion
Achieved through improved visibility and strategic infrastructure decisions.
Seamless Integration
Enabled quick implementation with actionable insights within 24 hours.
UNI Achieves 20% Reduction in Cloud Infrastructure Costs
Amnic’s Cloud Cost Visualization enabled UNI to gain complete visibility into costs across all resources, instances, and Kubernetes pods. With this data, the UNI team could take actionable steps to optimize their cloud infrastructure.
“Working with Amnic has paved the way for a journey where we have control and comprehension of the overall cloud spend. While we have been able to successfully optimize our infrastructure, Amnic is playing the long-term role of watching out for unprecedented costs and giving us insights into spends that could be better managed over time.”
Abhra Dasgupta
UNI
Optimizing Amazon CloudWatch
By fine-tuning Amazon CloudWatch configurations, UNI reduced unnecessary monitoring costs while retaining essential performance insights.
Optimal Instance Type Recommendations for EC2
Leveraging Amnic’s data analytics, the partner provided recommendations for optimal EC2 instance types, ensuring the best performance-to-cost ratio based on UNI workload requirements.
Right-Sizing of Kubernetes Nodes and Pods
A thorough analysis of Kubernetes usage identified opportunities to rightsize nodes and pods, aligning resources more closely with actual demand and avoiding over-provisioning.
Open Financial Reduced Overall Cloud Costs by 30% with Amnic
Open Financial Technologies partnered with Amnic to address surging cloud costs. With Amnic’s cloud cost management platform, they gained deeper visibility into their AWS usage and implemented actionable recommendations, leading to a 30% reduction in overall cloud expenses.
“While we understood that our cloud costs were a challenge, the extent of how much we could optimize it and run a lean infrastructure was still in the dark. We wanted to find a solution that could easily be implemented to break our costs down and give us a clearer picture of the costs associated at the various service levels and what can be done to manage our overall cloud spend.”
Ajeesh Achuthan
Co-Founder & CTO, Open Financial
Comprehensive AWS Visibility
Identified inefficiencies across EC2 instances, RDS databases, EBS volumes, and storage snapshots.
Optimal Instance Recommendations
Improved resource utilization by aligning EC2 and RDS configurations with workload needs.
EBS Volume Optimization
Migrated to GP3 volumes, reducing storage costs without sacrificing performance.
Snapshot Optimization
Eliminated unnecessary snapshots to lower costs while maintaining data integrity.
Savings Plan and RI Adoption
Leveraged AWS Savings Plans and Reserved Instances to unlock cost-saving opportunities.
Nanonets Achieved a 40% Drop in Compute Costs with Amnic
Nanonets leveraged Amnic to tackle rising cloud expenses and improve resource efficiency. Within 24 hours of implementation, the team identified and acted on optimization opportunities across Kubernetes, compute, S3 storage, and networking.
“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 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”
Prathmesh Juvatkar
Co-founder & CTO, Nanonets
40% Reduction in Compute Costs
Through Kubernetes node and pod right-sizing and adopting Karpenter for auto-scaling.
50% Savings on S3 Storage
By implementing intelligent storage tiers based on access patterns.
60% Reduction in Intra-Region Network Costs
Achieved through improved visibility and strategic infrastructure decisions.
Seamless Integration
Enabled quick implementation with actionable insights within 24 hours.
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Join our virtual Lunch & Learn, webinars, and more.
Grab Your Copy!
Get our eBook & optimize your cloud costs.
Save Your Spot!
Join our virtual Lunch & Learn, webinars, and more.
Grab Your Copy!
Get our eBook & optimize your cloud costs.
Build a culture of
cloud cost observability
Build a culture of
cloud cost observability
Build a culture of
cloud cost observability