Home › Company › FAQs

Frequently Asked Questions

General & Product Overview

What is Clouds Analytics?
Clouds Analytics is a multi-cloud management and FinOps platform that gives DevOps, cloud, and FinOps teams a single pane of glass across AWS, Azure, and Google Cloud. It helps you gain cloud cost visibility into every resource you're running, schedule idle cloud infrastructure to power down automatically, optimize cloud spend with real usage data, and strengthen your cloud security posture — all without installing a single agent.
How is Clouds Analytics different from tools like CloudHealth, Kubecost, or Densify?
Most cloud cost management tools in this space specialize in one layer — cost visibility, or Kubernetes cost monitoring, or rightsizing. Clouds Analytics bundles cloud cost optimization, tag-based resource scheduling, Kubernetes cost management, cloud access governance, and cloud security posture management (CSPM) into one lighter-weight FinOps platform, with a 2-minute agentless setup instead of a multi-week rollout.
Which clouds and services do you support?
We support AWS, Azure, and Google Cloud today as part of our multi-cloud management platform, with agentless discovery across VMs, RDS/managed databases, storage, containers, and serverless resources — plus Kubernetes cost visibility for EKS and AKS clusters.
What is FinOps, and how does Clouds Analytics support it?
FinOps is the practice of bringing engineering, finance, and business teams together to make informed, data-driven decisions about cloud spend. Clouds Analytics operationalizes FinOps by turning cost data into a shared, real-time view — inventory, cost optimization, scheduling, and governance all live in one platform, so teams work from the same numbers instead of stitching together spreadsheets and provider consoles.
Do I need separate tools for AWS, Azure, and Google Cloud, or can I manage everything from one platform?
You can manage all three from a single platform. Clouds Analytics is built as a true multi-cloud management solution, so cost visibility, scheduling, optimization, Kubernetes cost management, and security posture are unified across AWS, Azure, and Google Cloud rather than requiring a separate tool per provider.
Does Clouds Analytics replace AWS, Azure, or GCP cost-management tools?
No. Clouds Analytics complements native cloud-provider tools. AWS, Azure, and GCP provide native billing, monitoring, and optimization capabilities. Clouds Analytics adds an independent optimization layer that correlates cost, utilization, performance, infrastructure configuration, and best-practice signals.
How does Clouds Analytics complement cloud providers?
Cloud providers provide the underlying billing, monitoring, resource, and native recommendation data. Clouds Analytics brings these signals together and adds its own analysis, optimization intelligence, best-practice validation, combined dashboards, and actionable recommendations.
Is Clouds Analytics only for Finance teams?
No. Clouds Analytics is designed for cross-functional FinOps involving CTOs, CIOs, CFOs, FinOps teams, finance, DevOps, cloud engineers, platform teams, engineering managers, and product teams.
Can Clouds Analytics integrate FinOps with DevOps?
Yes. Clouds Analytics connects cost intelligence with infrastructure and DevOps operations so engineering teams can understand the financial impact of infrastructure decisions and optimization actions.
Is Clouds Analytics a replacement for traditional monitoring tools?
Clouds Analytics is intended to complement existing monitoring and cloud-provider services. Its key value is correlating performance and operational signals with financial data and optimization recommendations.
Can Clouds Analytics be used for data-center and private infrastructure costs?
Yes. Clouds Analytics can extend beyond the public cloud into data-center and private infrastructure cost management, supporting broader technology-cost visibility.
Can Clouds Analytics compare cloud versus on-premises costs?
Yes. Organizations can compare infrastructure economics across public cloud and on-premises/private infrastructure to support workload placement and infrastructure investment decisions.
What is the biggest benefit of Clouds Analytics?
Clouds Analytics brings cost, utilization, performance, infrastructure, and business decision-making together. This helps organizations continuously improve the value they receive from their technology investment while maintaining appropriate performance and reliability.
Why should we use Clouds Analytics if we already use AWS Cost Explorer, Azure Cost Management, or GCP Billing?
Native cloud tools remain valuable and should continue to be used. Clouds Analytics adds a cross-cloud and independent optimization layer that combines provider billing with infrastructure utilization, P95/P99 performance, best-practice analysis, recommendations, and automation. The goal is to complement the cloud provider rather than duplicate it.

Getting Started & Onboarding

What access do you need to my cloud accounts?
As an agentless cloud management platform, we request read-only, least-privilege access by default so we can discover resources and map cloud costs. Any action that changes your environment — like scheduling a resource to power down — requires you to explicitly grant that permission first. You stay in control of what we can touch at every step.
Can I connect multiple AWS, Azure, and Google Cloud accounts at once?
Yes. Clouds Analytics is designed for multi-cloud and multi-account environments from day one — you can connect as many cloud accounts across AWS, Azure, and Google Cloud as your organization runs, and they all roll up into the same unified inventory and cost view.
What happens right after I connect my cloud accounts?
Once you connect an account, our agentless discovery engine automatically builds out your Global Inventory and maps costs across resources, regions, and accounts. From there, you can start applying tag-based scheduling policies, reviewing rightsizing recommendations, and checking your cloud security posture — typically within minutes of connecting.
Can I invite my team during onboarding?
Yes. You can invite teammates as part of setup and assign access by tag or resource through our cloud access governance controls, so each person sees only the accounts and resources relevant to their role from day one.
Do you support single sign-on (SSO) during setup?
SSO/SAML is available on our Enterprise tier as part of onboarding, along with a dedicated success manager to help configure your multi-cloud environment and governance policies during rollout.
Does Clouds Analytics require application changes?
Typically, no. The platform can work primarily with cloud billing, resource, utilization, infrastructure, and performance data. Additional application-level integrations can be used where deeper workload or business-unit attribution is required.
How quickly can Clouds Analytics identify savings opportunities?
After the required cloud billing, resource, utilization, and performance data is available, the platform can analyze the environment and identify optimization opportunities. Results depend on environment size, architecture, utilization, and maturity.

Cost Visibility & Inventory

What is Global Inventory?
Global Inventory is our agentless cloud discovery layer — it automatically catalogs every resource across all your connected clouds, accounts, and regions (VMs, RDS, storage, containers, serverless, and more) into one searchable view, giving you complete multi-cloud visibility so nothing is hiding in a forgotten account or region.
Can I search and filter resources across accounts, regions, and clouds?
Yes. Global Inventory is built as a single searchable view across every connected cloud, account, and region, giving your team unified cloud resource visibility so you can filter by resource type, tag, owner, or environment without switching between provider consoles.
Does Global Inventory cover containers and serverless resources, or just VMs?
It covers all of it. Global Inventory maps VMs, RDS and other managed databases, storage, containers, and serverless resources across AWS, Azure, and Google Cloud, giving you cloud cost visibility into modern architectures, not just traditional compute.
How often does inventory and cost data refresh?
Cloud resource and cost data is kept continuously up to date, so your inventory reflects what's actually running rather than a stale snapshot — important for catching newly spun-up resources or unexpected cost spikes early.
Can I export inventory or cost data for reporting?
Yes. Inventory and cost data can be exported for use in your own reporting, dashboards, or FinOps reviews, so Clouds Analytics can sit alongside your existing reporting workflows rather than replacing them entirely.
What type of cloud costs can Clouds Analytics analyze?
Compute, storage, databases, Kubernetes, networking, load balancers, snapshots and backups, idle resources, underutilized resources, data transfer, reserved/committed capacity, development and non-production environments, AI workloads, and GPU infrastructure.
Does Clouds Analytics provide a combined dashboard?
Yes. A key advantage of Clouds Analytics is its combined Cost + Performance + Infrastructure dashboard. Teams can correlate cloud cost, CPU and memory utilization, P95/P99 latency, infrastructure, usage trends, and optimization recommendations in one place.
What does the combined dashboard help teams understand?
It helps teams understand not only where money is being spent, but also how the infrastructure is performing and what actions can improve the cost-to-performance ratio. This connects FinOps and engineering operations rather than treating them as separate activities.
Can Clouds Analytics set budgets and alerts?
Yes. Organizations can establish budgets and configure alerts for spending thresholds, unexpected increases, and abnormal usage patterns.
What is cloud cost anomaly detection?
Anomaly detection identifies unusual changes in cloud spending or usage. For example, if an application normally costs $500 per day but suddenly starts consuming $2,000 per day, Clouds Analytics can flag the abnormal increase for investigation.
Can Clouds Analytics identify which team or application is responsible for costs?
Yes. Costs can be organized using cloud accounts, subscriptions, projects, tags, labels, environments, applications, teams, and other organizational metadata, helping organizations understand who is spending what and where.

Cost Optimization, Performance & AI FinOps

How does the Resource Scheduler work?
Our cloud resource scheduler lets you tag the resources you want managed, define a schedule (e.g., power down nights and weekends), and it handles the rest automatically — no scripts or manual intervention required. It works across VMs, RDS instances, and Auto Scaling groups to cut idle cloud spend.
How do rightsizing recommendations work?
Our cloud rightsizing recommendations are based on real p95/p99 CPU and memory usage over time, not rough estimates or default templates. You can apply a recommendation with one click, or export it as code to run through your own CI/CD or change-management process — supporting continuous cloud cost optimization rather than a one-time cleanup.
Can I export recommendations instead of applying them automatically?
Yes. Cloud cost optimization and rightsizing recommendations can be applied with one click or exported as code, so you can review changes through your own CI/CD or change-management process if that's your team's preference.
Can I set different schedules for dev, staging, and production environments?
Yes. Because scheduling is tag-based, you can apply different power-down policies to different environments — for example, an aggressive nights-and-weekends schedule for dev and staging, while leaving production resources untouched or on a separate, more conservative policy.
Can I pause or override a scheduling policy manually?
Yes. Tag-based schedules can be paused or overridden at any time — useful if a non-production environment is needed outside its normal hours for a demo, a hotfix, or testing, without having to delete or rebuild the underlying policy.
How does Clouds Analytics identify cloud waste?
Clouds Analytics analyzes resource utilization, usage patterns, configuration, cost data, and performance signals to identify resources that may be unnecessarily consuming money. Examples include idle instances, underutilized servers, unused disks, orphaned resources, old snapshots, oversized instances, always-on non-production resources, and inefficient Kubernetes workloads.
Does Clouds Analytics monitor application performance along with cloud costs?
Yes. Clouds Analytics combines cost and performance intelligence. We monitor key performance indicators such as P95 and P99 latency to help ensure that cost optimization does not negatively impact application performance or user experience.
Why does Clouds Analytics monitor P95 and P99?
Average latency can hide performance problems. P95 and P99 help identify the experience of slower requests and potential performance bottlenecks. Clouds Analytics uses these metrics together with infrastructure utilization and cloud costs to support performance-aware optimization recommendations.
Does Clouds Analytics follow cloud-provider best practices?
Yes. Clouds Analytics evaluates infrastructure against relevant AWS, Azure, and GCP best practices and identifies opportunities to improve efficiency, reliability, performance, and cost. The objective is not simply to make infrastructure cheaper, but to find the right balance between cost, performance, reliability, and business requirements.
Can optimization affect application performance?
Clouds Analytics is designed for performance-aware optimization. Cost recommendations can be evaluated alongside utilization and P95/P99 performance signals so that savings initiatives do not blindly compromise required application performance.
Can Clouds Analytics help with Reserved Instances and Savings Plans?
Clouds Analytics can analyze usage and spending patterns to identify opportunities for commitment and rate optimization and help teams evaluate whether reserved capacity or commitment-based pricing is appropriate.
Does Clouds Analytics support AI FinOps?
Yes. Clouds Analytics can extend FinOps to AI infrastructure and AI usage costs, including GPU infrastructure and AI token consumption.
What can AI FinOps monitor?
AI FinOps can monitor GPU utilization, GPU infrastructure costs, model usage, token consumption, cost per request, cost per customer, cost per application, model-level spending, AI budgets, usage anomalies, and AI cost guardrails.
Can Clouds Analytics control AI token costs?
Yes. An AI FinOps layer can monitor token consumption and establish usage limits, budgets, alerts, and guardrails to help prevent uncontrolled AI spending.
Can Clouds Analytics monitor GPU costs?
Yes. GPU utilization and infrastructure cost can be analyzed to identify inefficient or underutilized GPU resources, particularly for AI/ML workloads, LLM inference, model training, GPU Kubernetes clusters, and dedicated GPU servers.

Kubernetes Cost Management

Does this work for Kubernetes costs specifically?
Yes. Our Kubernetes cost management capability breaks down spend by cluster, namespace, workload, and pod for both EKS and AKS, so you can attribute Kubernetes cost accurately instead of treating your cluster as one opaque line item.
Which Kubernetes services do you support?
We currently support Kubernetes cost management for Amazon EKS and Azure AKS, with cost visibility down to the pod level.
Can I allocate Kubernetes costs by team for chargeback or showback?
Yes. Because Kubernetes cost management breaks spend down by namespace and workload, you can map those directly to teams or products for chargeback or showback reporting, rather than splitting cluster costs manually or by estimate.
Do you support Google Kubernetes Engine (GKE)?
Google Kubernetes Engine support is on our roadmap alongside our existing EKS and AKS Kubernetes cost management coverage. Reach out to support@cloudsanalytics.ai if GKE cost visibility is a priority for your team — it helps us prioritize the roadmap.
Does Kubernetes cost management integrate with the rest of the platform?
Yes. Kubernetes costs appear alongside the rest of your multi-cloud inventory and cost data, so a cluster running on EKS or AKS is visible in the same view as your VMs, storage, and managed databases — not siloed in a separate tool.

Security & Compliance

What does Security Insights actually check?
Security Insights is our cloud security posture management (CSPM) capability — it continuously audits your environment against CIS benchmarks, flagging issues like public storage buckets, open ports, weak IAM configurations, and unencrypted data, then grades your overall cloud security posture (e.g., "Grade A") so you have a clear, ongoing signal of where you stand.
Are you SOC 2 certified?
SOC 2 certification is currently in progress. In the meantime, we already hold ISO 27001, ISO 27701, and ISO 9001:2015 certifications and comply with major global data-protection and cloud compliance regulations including GDPR, CCPA, and PIPL.
What are CIS benchmarks, and why do they matter?
CIS benchmarks are widely adopted, vendor-neutral security configuration standards for cloud platforms. Auditing against them gives you an objective, third-party-recognized baseline for cloud security posture management, rather than relying on ad-hoc internal checklists that vary team to team.
Do you encrypt data at rest and in transit?
Yes. Data is encrypted both at rest and in transit, consistent with the ISO 27001 and ISO 27701 certifications we hold and the broader data-protection regulations we comply with, including GDPR and CCPA.
Can I get alerted automatically when a security misconfiguration is found?
Yes. Alerting is available on the Standard and Enterprise tiers, so newly detected issues from Security Insights — like a public bucket or an overly permissive IAM policy — can notify your team as soon as they're flagged, rather than waiting for a manual review.
Is my cloud data secure?
Clouds Analytics can follow a least-privilege access approach, allowing customers to control the data and permissions made available to the platform. Enterprise deployments can define access controls, encryption, audit logging, network isolation, and deployment architecture according to customer requirements.

Access & Governance

Can Clouds Analytics manage access across my team?
Yes. Our cloud access governance layer lets you delegate access by tag or by resource, so different teams and roles only see and control what they need — with every action logged in a full audit trail.
Is there an audit trail for actions taken in the platform?
Yes. Every access grant and every action — from viewing a resource to applying a scheduling policy — is logged in a full audit trail, supporting least-privilege cloud access governance by design.
What is tag-based access control, and how is it different from role-based access?
Tag-based access control ties permissions to how resources are labeled (by team, environment, or project) rather than only to a fixed role. It's especially useful in multi-cloud environments where the same role — like 'developer' — needs different access depending on which project or environment a resource belongs to.
Can I restrict access by resource instead of by whole account?
Yes. Access can be scoped down to individual resources, not just entire cloud accounts, so a contractor or a specific team can be granted visibility into exactly the VMs, databases, or clusters relevant to their work without broader account access.
How does Clouds Analytics support least-privilege principles?
Least privilege is built into the platform by default — our own access to your cloud accounts is read-only unless you explicitly grant more, and the access governance controls you set for your own team follow the same tag- and resource-based model, with every grant and action captured in the audit trail.

Pricing & Plans

How does pricing work?
Our FinOps platform pricing is usage-tiered and scales with your monthly cloud bill, not your headcount — because the size of your cloud spend is what correlates with your cloud cost optimization opportunity, not the number of seats you provision.
What's included in each pricing tier?

Free ($0): Designed for small teams getting started with basic cloud visibility. It includes Role-Based Access Control and Dashboard Access.

Basic ($499/month): For cloud accounts with $5K–$10K in monthly cloud spend. It includes Role-Based Access Control, Cross-Cloud Cost Variance Tracking, Global Cloud Resource Scanning & Reporting, Cloud Estimator, Compliance-Driven Security Audits, Usage & Forecasting with Pricing Plans, User-Friendly Billing with Hidden Cost Insights, Anomaly Cost Detection & Notifications, Cloud Cost Optimization via Scheduling, and a 100-record data limit.

Standard ($1,999/month, most popular): For cloud accounts with $10K–$50K in monthly cloud spend. It includes everything in Basic, plus Personalized DevOps Support, Kubernetes Monitoring, and a 300-record data limit.

Enterprise (Custom pricing): For organizations with $50K+ in monthly cloud spend. It includes the FinOps capabilities available in the lower tiers, along with SRE Support 24×7, DevOps Infra Management, Dedicated DevOps for Managing Infra, Monitoring & Observability, and no data-record limit.

Can I change tiers as my cloud spend grows?
Yes — because pricing is tied to your monthly cloud spend rather than a fixed seat count, your FinOps pricing plan is designed to scale naturally as your usage grows. Reach out to your success contact or support@cloudsanalytics.ai to review or adjust your tier.
Is there a setup fee to get started?
No separate setup fee is required. Clouds Analytics uses an agentless setup, so there is no agent installation or costly implementation project required to get started. You can start with the Free plan at $0, while Basic and Standard are available at $499/month and $1,999/month, respectively. Enterprise pricing is customized based on your organization's requirements.
What happens if my monthly cloud spend crosses into the next tier?
Since pricing scales with your monthly cloud bill, moving into a higher spend range is expected to come with more optimization opportunities, not just a higher price. Your account team will work with you on the right tier as your usage grows — reach out to support@cloudsanalytics.ai any time you want to review where you stand.
Is Clouds Analytics suitable for enterprises?
Yes. Clouds Analytics is designed for organizations managing significant cloud infrastructure, including multi-account, multi-cloud, Kubernetes, AI, and hybrid environments.
How much can Clouds Analytics save?
Savings vary by environment. Potential savings depend on utilization, idle resources, architecture, storage, Kubernetes efficiency, commitment utilization, non-production scheduling, network architecture, and AI/GPU utilization. Clouds Analytics should therefore identify savings opportunities from actual customer data rather than guarantee a fixed percentage.
Can Clouds Analytics run in our own environment?
Yes, depending on the selected deployment model. A self-hosted or private deployment can be used by organizations that require greater control over infrastructure, data, network access, or compliance.

Support

What kind of support do we get?
Standard and Enterprise tiers include priority support, and Enterprise customers get a dedicated success manager along with custom SLAs. Our team is also reachable directly at support@cloudsanalytics.ai.
How do I contact support?
You can reach our team anytime at support@cloudsanalytics.ai. Standard and Enterprise customers receive priority handling, and Enterprise customers work with a dedicated success manager.
Do you offer onboarding help or training for new teams?
Yes. Enterprise customers get a dedicated success manager who helps with onboarding, connecting multi-cloud accounts, and setting up governance and scheduling policies. Basic and Standard customers can also reach out to support@cloudsanalytics.ai for onboarding guidance.
Is there documentation or a knowledge base available?
Yes, product documentations for AWS and Azure are available to help your team guide the steps to get the most out of cloud cost visibility, scheduling, optimization, and security features. If you can't find what you need, support@cloudsanalytics.ai is the fastest way to get a direct answer.
Do Enterprise customers get a custom SLA?
Yes. Enterprise plans include a custom SLA along with a dedicated success manager, SSO/SAML, and custom integrations — designed for organizations that need guaranteed response times and closer, ongoing support.
Get Started Free
Want Better
Cloud Visibility & Control?
See your global inventory, schedule stop/start for VMs, RDS and Auto Scaling groups, and delegate access by tag — all in one platform.
Get Started Free Book a Demo
Start with Free Plan · No credit card required · 100% cloud-based · Set up in minutes