Controlling Costs

How CoreStack can help you optimize cloud spend

Overview

Overview
Key Capabilities
Case Study
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Overview

Spending Wisely Through Technology

When economic headwinds are fierce and unpredictable, it can be tempting to cut cloud spend unilaterally. Instead of reducing the most strategic investment an organization can make, however, a more effective approach is to leverage the latest technology to optimize cloud spend.

Key Capabilities

Features to Look For

When it comes to managing your cloud budget, the following five features give organizations powerful tools to “save a dollar, stretch a dollar, and make a dollar.”

Real-Time Visibility into Cost Posture

CoreStack provides granular visibility into resource utilization and costs across multi-cloud via a unified dashboard, enabling 100% accountability for cloud spending.

Cost Anomaly Detection

CoreStack detects cost anomalies based on configurable baselines. And with comprehensive tagging capabilities, mistagged assets won’t fall through the cracks.

AI-Powered Forecasting

Traditional spend forecasting relies on historical data that doesn’t reflect dynamic business operations. CoreStack leverages AI to enable highly accurate forecasting.

Cost Guardrails

CoreStack allows organizations to set up custom cost policies, or guardrails. By monitoring them continuously, CoreStack can spot drifts in cloud spend in real-time.

Auto-Remediation

Cost guardrails can be configured to trigger notification, remediation workflows, or even auto-remediation, preventing cost overruns without human intervention.

Real-Time Visibility into Cost Posture

CoreStack provides granular visibility into resource utilization and costs across multi-cloud via a unified dashboard, enabling 100% accountability for cloud spending.

Cost Anomaly Detection

CoreStack detects cost anomalies based on configurable baselines. And with comprehensive tagging capabilities, mistagged assets won’t fall through the cracks.

AI-Powered Forecasting

Traditional spend forecasting relies on historical data that doesn’t reflect dynamic business operations. CoreStack leverages AI to enable highly accurate forecasting.

Cost Guardrails

CoreStack allows organizations to set up custom cost policies, or guardrails. By monitoring them continuously, CoreStack can spot drifts in cloud spend in real-time.

Auto-Remediation

Cost guardrails can be configured to trigger notification, remediation workflows, or even auto-remediation, preventing cost overruns without human intervention.

Recognition

Esteemed Industry Endorsements & Awards

Delve into the realm of industry recognition as CoreStack and its groundbreaking solutions earn accolades from renowned analyst firms like Gartner, Forrester, IDC, and esteemed authorities such as Frost & Sullivan, S&P Global, Deloitte, and GeekWire. Uncover our proud moments of achievement, including prestigious awards like Inc. 5000, reaffirming our dedication to innovation and excellence in the field.

Case Study ^NEW

The Partner Experience

Logicalis, ConRes and Synopsys Elevate FinOps⁺ Strategies with CoreStack

Powered by CoreStack FinOps⁺, our Production Ready Cloud (PRC) FinOps solution enables partners to embed governance, accelerate insights, and deliver measurable client outcomes.

– Sonia Grozdanoska, Cloud Product Owner. Logicalis

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CoreStack FinOps⁺ provides intuitive visibility into multi-cloud spend with built-in and custom views to spot savings, anomalies, and risks quickly. It also extends visibility into security threats and policy guardrails, supporting both FinOps and SecOps.

– Anthony Bonetti, Cloud Program Manager, ConRes

Managing spend across multiple clouds, projects, and business units was complex and time-consuming. We needed accurate tagging to track costs by project and business unit for proper chargebacks. CoreStack FinOps⁺ delivered exactly that—with powerful tagging governance across our multi-cloud environment. It saved us from writing custom scripts and gave us the control we needed out of the box.

– Ranjitha Thota, Enterprise Solutions, Synopsys

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