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Cloud & AI Cost Management

Top 8 Cloud Cost Management Tools | Harness Blog

Discover the top cloud cost management tools to optimize your cloud expenses and enhance efficiency. Learn about their features and benefits.

TL;DR

  • Cloud cost management tools provide visibility into cloud spending across AWS, GCP, Azure, and Kubernetes, helping teams identify unused, idle, or overprovisioned resources that drive up costs.
  • Finance teams need high-level spend reporting, budgeting, and forecasting capabilities, while engineering teams require granular cost-per-resource insights and actionable optimization recommendations.
  • Native cloud provider tools (AWS Cost Explorer, GCP Billing, Azure Cost Management) work well for single-cloud environments at small scale but require perfect tagging discipline and lack multi-cloud or Kubernetes cluster visibility.
  • Third-party platforms like Harness, IBM Cloudability, Spot (now part of Flexera), and Kubecost (now IBM) offer deeper optimization features and multi-cloud support, but vary significantly in whether they serve finance teams, engineering teams, or FinOps teams best.
  • Choosing the right tool depends on your cloud complexity (single-cloud vs. multi-cloud), organizational scale, team structure, and whether you need Kubernetes cost breakdowns, automated optimization, or executive-level financial reporting.

Regardless of whether you use a single cloud service provider like AWS, GCP, or Azure, or you run in a multi-cloud or hybrid cloud environment, you’re almost certain to be spending money on resources that you’re not using. If you’re a developer or in engineering, you’re empowered to innovate and move quickly, and that means spinning up cloud resources. If you’re in finance or cloud FinOps, you’re probably on the receiving end of those freely spun-up resources in the form of your cloud bill. Between the two sides of the coin, cloud cost monitoring and management is the name of the game.

Companies often find that the biggest contributors to their cloud costs are unused or overprovisioned resources. Due to a plethora of reasons, resources that are spun up can end up idly sitting by waiting to be more fully utilized, or resources can become unallocated or ‘zombie’ resources. You can read more about the most common contributors to cloud spend and how to reduce cloud cost in an article I’ve recently published. In any case, getting the visibility into where money is being spent is naturally the first step of the journey, with smart cloud cost optimization being the second leg.

Whether you’re trying to get a hold of rampant cloud spending, purchase reserved capacity to optimize your spend based on historical usage data, or drive cultural change across your organization with regards to cloud cost management across your cloud services, there are tools out there that can make your life easier. This post will cover some of the most popular or common cloud cost monitoring tools you’ll run into and showcase the pros and cons of each.

There are many cloud cost management methods that are most appropriate for you, depending on your scale and complexity. You’ll want to familiarize yourself with some of the cloud cost management methods out there to help you pick the best tool for your use case.

Harness cloud cost management tool

Tool #1: Harness Cloud & AI Cost Management

Harness Cloud & AI Cost Management is a tool designed for the modern-day software company in the cloud. Engineering, finance, and any other team has the capability to understand where costs are coming from and be proactive about visualizing, managing, monitoring, and optimizing their cloud costs, both in a silo and collaboratively.

This tool is useful for finance, engineering, and FinOps/Cloud Center of Excellence teams.

Pros

  • Provides contextually relevant information at any level of the organization, with no tagging required
  • Gives visibility into cloud resource costs by utilized, idle, or unallocated, at hourly granularity
  • Surfaces savings recommendations across workloads and the data justification behind them, including rightsizing
  • Performs root cost analysis down to the resource level, with the potential to tie to cloud events and deployment changes when using Harness Continuous Delivery Platform
  • Has anomaly detection, budgeting, and forecasting features that help teams avoid or head off surprises in cloud spend

Cons

  • May necessitate cultural change within an organization with regards to responsibility for cloud costs to get the full benefits of the product
  • New system may require training and some migration effort

To see a more in-depth breakdown between Harness and other providers, take a look at our DevOps Comparison Tools page. 

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AWS Cost Explorer cloud cost management tool

Tool #2: AWS Cost Explorer

Each of the public cloud providers has their built-in console for you to see your costs at a high level. AWS Cost Explorer is the built-in tool that Amazon Web Services provides to help you explore your costs. It’s great for starting out with AWS cost optimization and at a small scale, but teams often struggle to use this as the single source of truth as they get more sophisticated.

This tool is primarily useful for finance teams who need a high-level view of their costs and opportunities to save money across their whole cloud infrastructure.

Pros

  • Good at small scale, when you have a simple cost structure and few teams
  • Gives a high-level view of where costs are coming from
  • Provides recommendations for how you can save based on your usage
  • Allows you to set budgeting alerts
  • No additional cost for AWS customers

Cons

  • Requires good tag hygiene to get granular cost visibility
  • Can’t see idle or unallocated resource costs
  • Can’t see any costs outside of AWS, including hybrid cloud and container costs
  • Difficult to rely on exclusively as the organization scales, even for high-level finance
  • Not built for you to be proactive, only to see cost reports after the fact (with some ability to create warnings)

See a more in-depth AWS Cost Explorer vs. Harness comparison. 

GCP Billing cloud cost management tool

Tool #3: Google Cloud Platform Billing

Each of the public cloud providers has their built-in console for you to see your costs at a high level. GCP Billing is the built-in tool that Google Cloud Platform provides to help you understand your GCP cloud bill. It’s great for starting out and at a small scale, but teams often struggle to use this as the single source of truth as it doesn’t provide the necessary level of granularity.

This tool is primarily useful for finance teams who need a high-level view of their costs and opportunities to save money across their whole cloud infrastructure.

Pros

  • Good at small scale, when you have a simple cost structure and few teams
  • Gives a high-level view of where costs are coming from
  • Provides recommendations for how you can save based on your usage
  • Allows you to set budgeting alerts and throttle GCP consumption
  • No additional cost for GCP customers

Cons

  • Requires good tag hygiene to get granular cost visibility
  • Can’t see idle or unallocated resource costs
  • Can’t see any costs outside of GCP, including hybrid cloud and container costs
  • Difficult to rely on exclusively as the organization scales, even for high-level finance
  • Allows for some proactivity in managing costs, but in practice it’s hard to use the provided features due to the differing needs of finance and engineering teams

See how Harness Cloud & AI Cost Management stacks up in our GCP Billing vs. Harness comparison page. 

Azure cloud cost management tool

Tool #4: Azure Cost Management + Billing

Each of the public cloud providers has their built-in console for you to see your costs at a high level. Azure Cost Management + Billing is the built-in tool that Microsoft Azure provides to help you understand your Azure cloud bill. Teams can get a high-level view into their cloud spending on Azure, and with some nifty integrations, can do some more.

This tool is primarily useful for finance teams who need a high-level view of their costs and opportunities to save money across their whole cloud infrastructure.

Pros

  • Best at small scale, when you have a simple cost structure and few teams
  • Integration into PowerBI and AWS (through Cloudyn) allows for better reporting and dashboards
  • Provides recommendations for how you can save based on your usage
  • Allows you to set budgeting alerts
  • No additional cost for Azure customers

Cons

  • Requires good tag hygiene to get granular cost visibility
  • Can’t see idle or unallocated resource costs
  • Difficult to see any costs outside of Azure, including multi-cloud and cluster costs
  • Difficult to rely on exclusively as the organization scales, even for high-level finance and with PowerBI integration
  • Not built for you to be proactive, only to see cost reports after the fact (with the ability to set warnings)

Learn more about this tool in our Azure Cost Management + Billing vs. Harness comparison page. 

Apptio Cloudability cloud cost management tool

Tool #5: IBM Cloudability

IBM Cloudability is a cloud cost management tool that focuses on helping customers get visibility into their spend and then manage and optimize it. Originally known as Cloudability, the product became part of IBM's portfolio through its acquisition of Apptio in 2023 and is now offered as part of IBM's broader FinOps Suite alongside Kubecost and IBM Turbonomic. Additionally, the platform helps companies visualize what their cost profile will look like during a cloud migration.

This tool is most useful for FinOps and finance teams.

Pros

  • Supports multi-cloud cost visibility across AWS, GCP, and Azure
  • Provides cost savings recommendations across your workloads, including reserved instance purchasing and rightsizing
  • Comes with a tag explorer to identify missing tags across the infrastructure
  • Has anomaly detection, budgeting, and forecasting features that help teams avoid or head off surprises in cloud spend
  • Backed by IBM's enterprise support and integrated into the broader IBM FinOps Suite

Cons

  • Requires good tagging practices to get full visibility into cloud spending, including cluster costs such as Kubernetes
  • Costs are only visible at a daily granularity
  • Can’t drill down into costs for idle and unallocated resources
  • Can only see changes in cost, without being able to associate it to engineering changes

Tool #6: CloudHealth by VMware

Cloudhealth is a cloud cost management tool that specializes in governance in cloud costs. Cloudhealth was the first major tool of its kind on the market and helps customers get visibility into their spend, optimize it, and create policies that meet compliance and financial management needs. 

This tool is most useful for finance teams.

Pros

  • Provides good governance features to create and manage financial controls
  • Can correlate cloud deployments with security risks
  • Supports multi-cloud and hybrid cloud cost visibility
  • Provides cost savings recommendations across your workloads, including reserved instance purchasing and rightsizing
  • Has budgeting and forecasting features that help teams avoid going over budget

Cons

  • Requires good tagging practices to get full visibility into cloud spending, including cluster costs such as Kubernetes, and hybrid cloud deployments
  • Costs are only visible at a daily granularity
  • Can’t drill down into costs for idle and unallocated resources
  • Can only see changes in cost, without being able to associate it to engineering changes

Compare CloudHealth vs. Harness in our cloud cost management tool comparison page.

Spot cloud cost management tool

Tool #7: Spot (now part of Flexera)

Spot is a modern cloud cost management tool that focuses more specifically on helping companies automate their cloud cost optimizations based on data. This is compared to more traditional tools that surface opportunities, but leave the implementation up to the teams using the tool, making Spot also a cloud management platform. Originally developed by NetApp, Spot was acquired by Flexera in March 2025, joining Flexera's broader FinOps and cloud management portfolio.

This tool is primarily useful for engineering teams, with a secondary focus on finance.

Pros

  • Provides automation capabilities to optimize cloud infrastructure, including for container setups
  • Supports multi-cloud cost visibility across AWS, GCP, and Azure
  • Provides optimization recommendations that can be actioned on in few steps
  • Surfaces cost trends that seem anomalous based on usage patterns
  • Shows forecasted spend based on historical usage data
  • Now backed by Flexera's broader IT asset management and FinOps platform

Cons

  • Requires good tag management to get granular visibility into cloud costs
  • Costs are only visible at a daily granularity
  • Comes with risk in allowing a vendor to automatically manage internal resources
  • Can only see changes in cost, without being able to associate it to engineering changes
  • Long-term product direction and integration roadmap under Flexera ownership is still evolving

See how Harness stacks up to the competition in our Spot vs. Harness page.

Kubecost cloud cost management tool

Tool #8: Kubecost (now part of iBM)

Kubecost provides visibility into an organization's Kubernetes resources to reduce spend and prevent resource-based outages. The tool focuses specifically on identifying costs and optimization opportunities in Kubernetes, with no focus on non-cluster costs such as resources specifically in AWS, GCP, or Azure. Kubecost was acquired by IBM in September 2024 and is now integrated into the IBM FinOps Suite alongside IBM Cloudability and IBM Turbonomic, giving it a broader enterprise platform and support backing.

This tool is primarily useful for engineering teams.

Pros

  • Focused product on allocating and optimizing Kubernetes costs
  • Provides tooling that helps improve infrastructure and avoid outages
  • Visibility into costs is near real-time
  • Now part of IBM's FinOps Suite, enabling tighter integration with IBM Cloudability for combined Kubernetes and multi-cloud cost management

Cons

  • Cannot use this single product to view or manage all cloud costs, especially outside Kubernetes
  • Can only see changes in cost, without being able to associate it to engineering changes
  • Integration into IBM's broader platform is still maturing, and product direction may shift as it is absorbed into the IBM FinOps Suite

See how life - and your cloud costs - could be better with Harness in our Kubecost vs. Harness comparison page. 

Remove Cloud Waste with Harness

While there are a variety of cloud cost management tools available for teams to use, the right choice ultimately comes down to the company’s needs. As companies advance their cloud management strategies and organizational cultures around responsibility for cloud costs, tools that make it easy to involve teams at any level of the organization become increasingly crucial. 

Harness Cloud & AI Cost Management is a tool that was built with this shifting and modern mindset at the fore, embodying the core values of reducing your cloud cost waste and empowering your teams with cloud cost visibility. Whether it’s a finance, engineering, FinOps, or Cloud Center of Excellence team that’s on the hook for keeping cloud costs in check, all of them need to be empowered to get the contextualized cost data that’s relevant for how they plan to tackle their cloud costs - and Harness makes this easy. 

You can also check out how Harness Cloud & AI Cost Management provides “above and beyond” value when it’s tied into the rest of the software delivery platform. And, when you’re ready, sign up for a demo!

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Gain Full Cloud Cost Visibility: 7 Practical Approaches for Engineering Teams

Cloud & AI Cost Management

Gain Full Cloud Cost Visibility: 7 Practical Approaches for Engineering Teams

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What is Cloud Cost Visibility?

Cloud cost visibility is the process of tracking, analyzing, and understanding the expenses associated with cloud services, including applications, resources, and infrastructure. It provides organizations with a clear view of how their cloud resources are utilized and how much they are spending. This visibility is essential for making informed decisions about optimizing cloud costs.

Cloud cost visibility is not just about having access to the data but also about organizing and presenting it in a way that makes it easy to understand and act upon - in the form of dashboards, graphs or any other representation. Well-structured and well-analyzed data enables businesses to gain insights into cloud usage patterns, identify inefficiencies, and take corrective actions. With accurate visibility, organizations can forecast future cloud costs and allocate resources more efficiently, ensuring they are not overspending or underutilizing their cloud environment.

Why is Cloud Cost Visibility Important?

  • Cost Optimization: With enhanced cloud cost visibility, organizations can identify opportunities to reduce excess spending. Organizations can track and analyze spending across the company, connect cloud costs to business value, and identify the areas where resources are being underutilized or whether the needs are met. This leads to a better allocation of cloud resources and a reduction in unnecessary expenses.
  • Resource Optimization: Understanding how cloud resources are consumed is important for making informed decisions to achieve cloud cost optimization. Cloud cost visibility helps organizations monitor who uses what resources and how efficiently they are managed.
  • Budget Planning: Accurate visibility into cloud costs helps organizations forecast and plan their budgets more effectively. It helps them prepare in a better manner. By analyzing current and future workloads, tracking usage trends, and accounting for unexpected expenses, businesses can create more reliable budget plans. Also, with cloud cost visibility, organizations can gain valuable insights into how different parts of the business utilize cloud resources, allowing them to optimize spending and maximize return on investment (ROI).

7 Key Approaches to Achieve Cloud Cost Visibility

  1. Build a FinOps Team

The first step is understanding that cloud cost visibility is a group effort. Building a FinOps team with members from development, operations, engineering, and finance ensures that everyone understands what visibility is and how it works or what results it will yield. This collaboration helps in aligning cloud cost management practices with business objectives. Identify all the people who are involved in this process and are decision-makers and understand how they can work together to get the most out of the cloud spend.

  1.  Establish the Foundation with Data

Data is the backbone of cloud cost visibility. To ensure the data you have gives the most accurate insights, you need to make sure that the data is accumulated from all the cloud service providers, is accurate and latest, and is granular enough to derive conclusions and patterns. Storing huge amounts of data can be a challenge though, but it is very important for historical data, comparisons and when setting budgets for the future. 

  1. Leverage Dashboards and Granular Reports

Granular data helps create detailed reports which in turn allows you to monitor which cloud resources are consuming the most budget, how Reserved Instances are utilized, and helps you to track trends over time. You can have a huge bunch of data but converting them into dashboards and reports are critical for visualizing cloud cost data and extracting actionable insights. The key idea is simple - data must be arranged in a way that’s easy to interpret and act on. 

  1. Create a Tagging Strategy

Tags act as labels that tie cloud resources to specific departments, projects, or teams. A well-defined tagging strategy involves consistently labeling all resources so that no cloud spend is untracked or misallocated. Manual tagging might become very cumbersome but automating the tagging process can alleviate the burden on development teams. An effective tagging strategy makes it easier to forecast, budget, and identify cost-saving opportunities.

  1. Implement Anomaly Detection

Anomaly detection, driven by AI and machine learning, allows you to stay on top of unexpected cloud usage spikes even when you’re not actively monitoring your reports. Anomaly detection tools help detect instances of abnormally high costs and promptly notify users of these occurrences. You can use tools like Harness CACM to detect cost anomalies for your Kubernetes clusters and cloud accounts. CACM cost anomalies compare the previous cloud cost spending with the current spending to detect cost anomalies. Harness CACM uses statistical anomaly detection techniques and forecasting at scale to determine cost anomalies. These methods can detect various types of anomalies, such as a one-time cost spike, and gradual, or consistent cost increases.

  1. Use Budgeting and Forecasting Tools

Effective budgeting and forecasting are key to achieving full cloud cost visibility. A robust cloud cost management system should allow you to track past, present, and future spending. AI-powered tools can help predict future cloud costs based on past usage trends, enabling more accurate financial planning. Budget alerts, proactive notifications, and tailored forecasts ensure that every team has the visibility needed to manage cloud costs efficiently.

  1. Use Tools Like Harness CACM

At Harness, we leverage the power of AI and machine learning to streamline cloud cost management. Harness Cloud & AI Cost Management (CACM) provides comprehensive tracking of cloud spending, enabling optimized expenditure.
From CACM Dashboards that help you visualize cloud cost data across clusters and cloud accounts Anomaly Detection that detects instances of abnormally high costs and promptly notify users of these occurrences, Harness ensures everything is automatically managed, allowing you to focus on your core business while significantly reducing costs.

Learn more about Cloud & AI Cost Management by Harness, or book a demo today.

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