Cloudchipr | Resource Explorer

Dynamically attribute your cloud resources based on any criteria

Create custom dimensions with dynamic rules based on criteria like cloud accounts, tags, regions, services, and more. Track savings opportunities, forecasted costs, trends, and underutilized resources for each dimension.

View all your charges and drill down directly from the table

List all your cloud services, and easily drill down to Accounts, Environments, Resources, and detailed resource costs right from the table. Identify resources generating traffic costs and gain insights into traffic flow patterns.

Explore saving opportunities

View all your live resources and savings opportunities right in your filtered Views. Boost accountability by sharing the right View with the right teams, and let them explore their own savings opportunities.

Slice and dice with granular filters and save different views

Apply granular filters to create custom views for teams, departments, services, or any other dimensions. Share the right view with the relevant team to boost cost and usage awareness across the board.

Gain deeper insight with advanced visualization

You can choose your preferred visualization and cost breakdown. This allows you to explore the information from various angles, enabling a more comprehensive understanding of trends, patterns, and key metrics.

Set budgets and budgeting alerts based on both actual and forecasted costs

Create multiple budgets for each dimension and receive real-time notifications when your multi-cloud spending approaches or exceeds set thresholds.

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Save and earn more

Cloudchipr saves both time and money by streamlining cost saving processes.

Customers save

$180k/mo

On average

Engineering teams save

200h/mo

On average

Customers save

$50m

Saved in total so far

Cloudchipr saved us 30% on our multi-cloud costs. We run several automation workflows that continuously scan our dev and sandbox accounts, cleaning up idle resources and helping us prevent future waste.

Edgar from ServiceTitan

Head of Infrastructure

Cloudchipr's automation workflows saved us thousands of engineering hours on cost optimization and reduced our cloud expenses by seven figures on AWS, GCP, and Azure.

Catherine from D2iQ

VP of Engineering

Cloudchipr has saved over 40% in cloud costs and around 1,500 hours of engineering work. It’s a game-changer for our DevOps team, running multiple workflows that detect data transfer anomalies, back up and deactivate unused cloud resources, identify resource owners, and more.

Artem from Bardeen

Co-Founder & CTO

Cloudchipr found legacy resources that were costing us a significant amount of money every day. Now, we use it as a background service to ensure we only pay for what we actually use across all clouds.

Davit from SuperAnnotate

Co-Founder & CTO

With Cloudchipr, it took us less than 3 minutes to identify wasted cloud resources accounting for 30% of our total cloud costs. Now, Cloudchipr’s automation workflows check our clouds every hour and notify us or take action when savings opportunities are found.

Aram from Podcastle

CTO

Cloudchipr is a FinOps platform powered by automation workflows that saved us over $500,000 on cloud costs across AWS, GCP, and Azure. We use workflows to automatically stop expensive GPU nodes and Kubernetes clusters when they are idle for more than 24 hours.