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.

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.

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.

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.

Cost Optimization & Scheduling

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.

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.

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?
Basic ($5K–$10K/mo cloud spend): core cloud discovery, inventory, and resource scheduling, free for the first month. Standard ($10K–$50K/mo cloud spend, most popular): adds cost optimization, access control, alerts, and priority support, also free for the first month. Enterprise ($50K+/mo cloud spend): custom pricing with SSO/SAML, a dedicated success manager, custom integrations, and custom SLAs.
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 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 to start — every tier begins with a free first month, and because onboarding is agentless and typically takes just a few minutes per account, there's no costly implementation project to budget for upfront.
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.

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 documentation is available to help your team 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.
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