Cloud Cost Reporting Tools

Get accessible and automated reports, ensuring accountability and visibility for cloud costs

Automate and enhance cloud cost reporting and analysis with scheduled updates, saveable reports, pre-built visualizations, custom dashboards, simple cost allocation, and more.

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TRUSTED BY

humanify

TRUSTED BY

humanify

TRUSTED BY

humanify

Make Cloud Cost Reporting and Cost Analysis Easier

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Detailed Cost Breakdown and Analysis

Use Amnic’s Cost Analyzer to filter, sort, and analyze cloud spending by date range, cloud provider, region, Billing or Resource ID, availability zone, categories, tags, and more. Attribute costs to outcomes and quickly identify the root causes of unexpected costs.

Detailed Cost Breakdown and Analysis

Automated Reporting

Save, export, and schedule reports to seamlessly share cloud cost data with stakeholders. Automate report distribution daily, weekly, or monthly to keep everyone informed with actionable real-time reporting.

Automated Reporting

Custom and Pre-Built Dashboards

Leverage pre-built dashboards for network, data transfer, storage, and compute costs across AWS, Azure, GCP, and Kubernetes for immediate insights. Create custom views and reports in minutes to track anomalies, recommendations, and critical metrics.

Custom and Pre-Built Dashboards

Collaboration and Controlled Access

Facilitate team collaboration with contextual annotations and comments on cloud cost data while maintaining control over sensitive information through role-based access permissions.

Collaboration and Controlled Access

Facilitate team collaboration with contextual annotations and comments on cloud cost data while maintaining control over sensitive information through role-based access permissions.

Collaboration and Controlled Access

Facilitate team collaboration with contextual annotations and comments on cloud cost data while maintaining control over sensitive information through role-based access permissions.

Tailored Reporting for Teams

Build and save department-specific reports to simplify access to relevant cloud cost data. Gain insights tailored to your team’s unique requirements so you can take action faster to optimize cloud resources and reduce costs.

Tailored Reporting for Teams

Impact Delivered

40%

reduction in compute costs

50%

reduced S3 storage cost

30%

reduction in NAT costs

30%

lower CloudWatch costs

60%

lower Intra Region Network cost

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Hear from our customers

Abhra Dasgupta

UNI

Watching out for unprecedented costs

“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.”

Mayank Bhola

Co-founder & CTO, Lambdatest

Provided visibility as well as areas for optimization

“As customer adoption grew, a key focus area for Lambdatest was the ability to look at their overall cloud costs. Gaining an overall perspective on our cloud spends became the need of the hour. The increasing prevalence of cost observability led us to explore how solutions like Amnic can easily integrate into our existing workflows and provide the necessary visibility as well as areas for optimization.”

Ajeesh Achuthan

Co-Founder & CTO, Open Financial

Saved costs that run into thousands of dollars

"Using Amnic has been nothing short of transformational. The platform is able to analyze our cloud costs at a depth that would take us several hours, if not days to understand better. We are able to spend a few hours each week and save costs that run into thousands of dollars, but what’s more impressive is how Amnic has become an integral part of our cloud toolchain and maintains a lean and efficient infrastructure."

Sekhar Prakash

Co-founder, Cloud Engineering and Ops, JIFFY.ai

Reduced cluster costs by 50%

“We assessed our options and Amnic’s technical depth stood out. Amnic platform helped us optimize Kubernetes cluster cost by 50% through its sharp right sizing recommendations of instances and pods”