Cloud Cost Management
Cloud Cost Management
Visualize, control, and manage all cloud costs in a single, unified platform for FinOps and DevOps practitioners with Amnic.
Visualize, control, and manage all cloud costs in a single, unified platform for FinOps and DevOps practitioners with Amnic.
TRUSTED BY
humanify
TRUSTED BY
humanify
TRUSTED BY
humanify
Smart Cloud Spend,
Smart Cloud Spend,
Starts With Amnic!
Starts With Amnic!
Benefits
Why Companies Swear By Amnic’s Cloud Cost Management?
Why Companies Swear By Amnic’s Cloud Cost Management?
Real-time cloud ROI monitoring
Real-time cloud ROI monitoring
Real-time cloud ROI monitoring
Precise cost allocation
Precise cost allocation
Precise cost allocation
Budget management and tracking
Budget management and tracking
Budget management and tracking
Accurate cloud spend forecasting
Accurate cloud spend forecasting
Unit economics for smarter benchmarking
Unit economics for smarter benchmarking
Encourage FinOps practices
Encourage FinOps practices
Revolutionalize Cloud Cost Management With Amnic
Get a 360° view of your cloud resources for continuous monitoring and optimization of usage and costs. Amnic helps engineering and finance teams accelerate FinOps maturity, track spending, optimize cloud utilization, and ensure every dollar contributes to a more efficient, cost-effective infrastructure.
Cloud Cost Allocation & Unit Economics
The first-of-its-kind self-serve mechanism to allocate cloud costs lets you allocate costs to specific apps, services, teams, customers, product lines, and business units for enhanced cost visibility, accountability, and efficiency.
Benchmarking with Unit Economics
Break down cloud costs by customer, team, or product to align expenses with revenue goals and operational KPIs to optimize profitability and cost efficiency.
Benchmarking with Unit Economics
Break down cloud costs by customer, team, or product to align expenses with revenue goals and operational KPIs to optimize profitability and cost efficiency.
Benchmarking with Unit Economics
Break down cloud costs by customer, team, or product to align expenses with revenue goals and operational KPIs to optimize profitability and cost efficiency.
Track Cloud ROI
Continuously measure ROI through real-time insights showing the impact of every dollar spent on cloud services and how they affect your business and operational goals.
Track Cloud ROI
Continuously measure ROI through real-time insights showing the impact of every dollar spent on cloud services and how they affect your business and operational goals.
Track Cloud ROI
Continuously measure ROI through real-time insights showing the impact of every dollar spent on cloud services and how they affect your business and operational goals.
Team-Level Cost Management
Equip tech leaders with precise data on cloud usage and costs, detect anomalies, and implement recommendations quickly to improve cloud efficiency.
Team-Level Cost Management
Equip tech leaders with precise data on cloud usage and costs, detect anomalies, and implement recommendations quickly to improve cloud efficiency.
Team-Level Cost Management
Equip tech leaders with precise data on cloud usage and costs, detect anomalies, and implement recommendations quickly to improve cloud efficiency.
Customer-Specific Cloud Margins
Link cloud costs directly to customer usage, track profitability, and adjust resource allocation to prioritize high-margin clients.
Customer-Specific Cloud Margins
Link cloud costs directly to customer usage, track profitability, and adjust resource allocation to prioritize high-margin clients.
Customer-Specific Cloud Margins
Link cloud costs directly to customer usage, track profitability, and adjust resource allocation to prioritize high-margin clients.
Cost Allocation by App, Team, and More
Split and llocate costs to teams, environments, services, or business units, and share saved reports to optimize spend and resource allocation across the organization.
Cost Allocation by App, Team, and More
Split and llocate costs to teams, environments, services, or business units, and share saved reports to optimize spend and resource allocation across the organization.
Cost Allocation by App, Team, and More
Split and llocate costs to teams, environments, services, or business units, and share saved reports to optimize spend and resource allocation across the organization.
Budgeting
Get complete visibility and control over your cloud expenses. With real-time insights and detailed breakdowns, you can optimize budgets, prevent overspending, and align teams with cloud cost management goals.
Team Accountability
Empower teams with clear budget ownership, encourage responsibility, and support the overall cost control strategy.
Team Accountability
Empower teams with clear budget ownership, encourage responsibility, and support the overall cost control strategy.
Team Accountability
Empower teams with clear budget ownership, encourage responsibility, and support the overall cost control strategy.
Cost Trends
Breakdown cost trends for teams, projects, or business units to identify opportunities for smarter budget usage and better cloud cost management.
Cost Trends
Breakdown cost trends for teams, projects, or business units to identify opportunities for smarter budget usage and better cloud cost management.
Cost Trends
Breakdown cost trends for teams, projects, or business units to identify opportunities for smarter budget usage and better cloud cost management.
Unified Budget View
Track cloud spending in real-time from a single unified dashboard, providing clear insights into resource allocation.
Unified Budget View
Track cloud spending in real-time from a single unified dashboard, providing clear insights into resource allocation.
Unified Budget View
Track cloud spending in real-time from a single unified dashboard, providing clear insights into resource allocation.
Map and Distribute Budgets
Distribute budgets across teams and departments. Allocate resources precisely so each team has the necessary budgets they need without exceeding limits.
Map and Distribute Budgets
Distribute budgets across teams and departments. Allocate resources precisely so each team has the necessary budgets they need without exceeding limits.
Map and Distribute Budgets
Distribute budgets across teams and departments. Allocate resources precisely so each team has the necessary budgets they need without exceeding limits.
Forecasting
Gain a predictive view into anticipated cloud costs based on historical data and trends, allowing you to stay ahead of potential budget overruns.
Agentless and Non-Intrusive Forecasting
Gain insights into upcoming cloud costs and optimize infra costs without deploying anything in your environment. Stay ahead of cloud spend with data-backed predictions.
Agentless and Non-Intrusive Forecasting
Gain insights into upcoming cloud costs and optimize infra costs without deploying anything in your environment. Stay ahead of cloud spend with data-backed predictions.
Agentless and Non-Intrusive Forecasting
Gain insights into upcoming cloud costs and optimize infra costs without deploying anything in your environment. Stay ahead of cloud spend with data-backed predictions.
Intuitive Cost Analyzer Insights
Simplify complex forecast data with intuitive visuals and actionable insights to drive informed financial decisions.
Intuitive Cost Analyzer Insights
Simplify complex forecast data with intuitive visuals and actionable insights to drive informed financial decisions.
Intuitive Cost Analyzer Insights
Simplify complex forecast data with intuitive visuals and actionable insights to drive informed financial decisions.
ARIMA-Based Accuracy
Utilize the ARIMA model for precise predictions and account for past usage patterns and trends to enhance cost forecasting reliability.
ARIMA-Based Accuracy
Utilize the ARIMA model for precise predictions and account for past usage patterns and trends to enhance cost forecasting reliability.
ARIMA-Based Accuracy
Utilize the ARIMA model for precise predictions and account for past usage patterns and trends to enhance cost forecasting reliability.
Granular Visibility for Forecasts
View forecasts for total cloud spend or drill down into individual cloud providers for more targeted insights.
Granular Visibility for Forecasts
View forecasts for total cloud spend or drill down into individual cloud providers for more targeted insights.
Granular Visibility for Forecasts
View forecasts for total cloud spend or drill down into individual cloud providers for more targeted insights.
Generate Forecasts Quickly
Generate accurate cloud cost forecasts in a single click across different time ranges, from monthly to quarterly, to better manage your expenses.
Generate Forecasts Quickly
Generate accurate cloud cost forecasts in a single click across different time ranges, from monthly to quarterly, to better manage your expenses.
Generate Forecasts Quickly
Generate accurate cloud cost forecasts in a single click across different time ranges, from monthly to quarterly, to better manage your expenses.
Who Needs Cloud Cost Management?
Software Engineers
Software Engineers
Finance Teams
Finance Teams
DevOps Teams
DevOps Teams
CTOs and IT Leaders
CTOs and IT Leaders
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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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